# 2012 Shelby County, Tennessee

Emissions Inventory

Calculation Methodology

for

NOx, CO, and VOC

June 201 5

# Table of Contents

Growth Factor Development Methodology

.................................................................................. 2

Point Sources Emission Estimation Methodology

.............................................................................. 7

Onroad Sources Emission Estimation Methodology

.............................................................................. 0 9

Nonroad Sources Emission Estimation Methodology

........................................................................... 11

Nonpoint Sources Emission Estimation Methodology

........................................................................... 19

Industrial Distillate Oil Combustion

................................ ................................ ................................ ................................ 19

Industrial Residual Oil Combustion

................................ ................................ ................................ ................................ 23

Industrial Natural Gas Combustion

................................ ................................ ................................ ................................ . 27

Ind ustrial Liquified Petroleum Gas (LPG) Combustion

................................ ................................ ................................ .. 31

Commercial Distillate Oil Combustion

................................ ................................ ................................ ........................... 34

Commercial Natural Gas Combustion

................................ ................................ ................................ ............................. 37

Commercial Liquified Petroleum Gas (LPG) Combustion

................................ ................................ .............................. 39

Commercial Kerosene Combustion

................................ ................................ ................................ ................................ . 42

Residential Distillate Oil Combustion

................................ ................................ ................................ ............................. 46

Residential Natural Gas Combustion

................................ ................................ ................................ ............................... 49

Residential Liquified Petroleum Gas (LPG) Combustion

................................ ................................ ............................... 51

Residential Kerosene Combustion

................................ ................................ ................................ ................................ ... 5 4

Residential Wood Combustion

................................ ................................ ................................ ................................ ........ 57

Bakeries

................................ ................................ ................................ ................................ ................................ ........... 60

Wineries (Red Wine)

................................ ................................ ................................ ................................ ....................... 6 2

Wineries (White Wine)

................................ ................................ ................................ ................................ .................... 6 4

Breweries

................................ ................................ ................................ ................................ ................................ ......... 6 6

Auto Refinishing

................................ ................................ ................................ ................................ .............................. 7 0

Traffic Paints

................................ ................................ ................................ ................................ ................................ ... 72

Industrial Surface Coating Factory Finished Wood

................................ ................................ ................................ ......... 74

Industrial Surface Coating Wood Furniture & Fixtures

................................ ................................ ................................ ... 76

Industrial Surface Coating Metal Furniture & Fixtures

................................ ................................ ................................ ... 7 8

Industrial Surface Coating Paper, Film and Foil

................................ ................................ ................................ ............. 8 0

Industrial Surface Co ating Metal Can and Containers

................................ ................................ ................................ ..... 82

Industrial Surface Coating Sheet, Strip, & Coil

................................ ................................ ................................ ............... 84

Industrial Surface Coating Machinery & Equipment

................................ ................................ ................................ ...... 86

Industrial Surface Coating Appliances

................................ ................................ ................................ ............................ 88

Industrial Surface Coating Electronic and Other Electrical

................................ ................................ ............................. 9 0

Industrial Surface Coating Motor Vehicles

................................ ................................ ................................ ..................... 9 2

Industrial Surface Coating Aircraft

................................ ................................ ................................ ................................ .. 94

Industrial Surface Coating Marine Coatings

................................ ................................ ................................ .................... 96

Industrial Surface Coating Railroad Coatings

................................ ................................ ................................ ................. 98

Industrial Surface Coating, Maintenance

................................ ................................ ................................ ....................... 1 00

Other Special Purpose Coating

................................ ................................ ................................ ................................ ...... 104

Degreasin g

................................ ................................ ................................ ................................ ................................ ..... 106

Dry Cleaning

................................ ................................ ................................ ................................ ................................ . 108

Graphic Arts

................................ ................................ ................................ ................................ ................................ .. 11 0

C&C Cosmetics and Toiletries

................................ ................................ ................................ ................................ ...... 111

C&C Household Cleaning Products

................................ ................................ ................................ .............................. 114

C&C Automotive Aftermarket Products

................................ ................................ ................................ ....................... 116

C&C Coatings and Related Products

................................ ................................ ................................ ............................. 118

C&C Adhesives and Sealants

................................ ................................ ................................ ................................ ........ 12 0

C&C FIFRA Regulated Products

................................ ................................ ................................ ................................ .. 122

C&C Miscellaneous Products (not otherwise covered)

................................ ................................ ................................ . 124

Pesticide Application, Agricultural

................................ ................................ ................................ ................................ 126

Cutback Asphalt Application

................................ ................................ ................................ ................................ ......... 128

Emulsified Asphalt Application

................................ ................................ ................................ ................................ .... 131

Portable Fuel Containers

- Residential

................................ ................................ ................................ .......................... 134

Portable Fuel Containers

- Commercial

................................ ................................ ................................ ......................... 139

Gasoline Distribution Stage I; Gasoline Service Station Submerged Filling

................................ ................................ . 146Gasoline Distribution Stage I; Gasoline Service Station Splash Filling

................................ ................................ ........ 148

Gasoline Distribution Stage I; Gasoline Service Station Balanced Submerged Filling

................................ ................. 150

Gasoline Distr ibution Stage I; Bulk Terminals all Evaporative Losses

................................ ................................ ......... 151

Gasoline Distribution Stage I; Underground Storage Tank, Breathing, and Emptying

................................ ................. 154

Stage II Gasoline Refueling Uncontrolled Displacement Losses

................................ ................................ .................. 156

Stage II Gasoline Refueling Controlled Displace ment Losses

................................ ................................ ...................... 158

Stage II Gasoline Refueling Controlled Displacement Spillage

................................ ................................ .................... 160

Gasoline Distribution Stage I; Tank Trucks in Transit

................................ ................................ ................................ .. 162

Aviation Gasoline Distribution: Stage I

................................ ................................ ................................ ......................... 164

Aviation Gasoli ne Aircraft Refueling: Stage II 16 6

Land Clearing (Prescribed Burning)

................................ ................................ ................................ .............................. 168

On

- Site Incineration,

................................ ................................ ................................ ................................ .................... 171

Municipal Solid Waste Landfills

................................ ................................ ................................ ................................ ... 173

Public Owned Treatment Works (POTW)

................................ ................................ ................................ ..................... 175

Structural Fires

................................ ................................ ................................ ................................ .............................. 177

Vehicle Fires

................................ ................................ ................................ ................................ ................................ .. 179

Cremation

– Human................

................................ ................................ ................................ ................................ .. 182

Cremation

– Animal

................................ ................................ ................................ ................................ ...................... 184

## Growth Factors Development Methodology:

To account for changes in emissions generating activity, future year emissions estimates are projected

with growth factors. The growth factors used in this analysis include, fuel consumption, employment, and

population changes. They were chosen based on th eir representativeness of the underlying emissions

activity. As a conservative measure, a value of 1 was substituted for all negative growth factors. The

methodology used to develop each of these categories is provided below.



### Fuel Consumption

–

Fuel consumption data was used for one set of g rowth factors used in this analysis. The data was obtained

from the USDOE Energy Information Administration (EIA), Annual Energy Outlook Report. Using the

equation below, fuel consumption growth factors were calcul ated by dividing the base year (2012) price

to the future year price, as follows:

Where:

BY = base year fuel consumption price

FY = future year fuel consumption price

For example,

Growth Factors (GF) = 0.0224

0.0301

= 0.744

A summary table of the fuel consumption data and the growth factors is presented below in Table 1.

Table 1

- Growth Factors based on AEO Fuel Consumption data for East South Central Sector and

Source

Consumption Category Fuel Consumption Prices Fuel Consumption Growth Factors

Year Year

2012 2017 2020 2027 2012 2017 2020 2027

Residential

-

Propane 0.0301 0.0224 0.0200 0.0156 1.0000 0.7436 0.6648 0.5181

Kerosene 0.0003 0.0002 0.0002 0.0001 1.0000 0.6491 0.5930 0.4632

Distillate Fuel Oil 0.0018 0.0018 0.0018 0.0018 1.0000 1.0000 1.0000 1.0000

Petroleum and Other Liquids Subtotal 0.0322 0.0244 0.0220 0.0176 1.0000 0.7573 0.6832 0.5451

Natural Gas 0.1610 0.1652 0.1600 0.1502 1.0000 1.0256 0.9933 0.9328

Renewable Energy 1/ 0.0275 0.0279 0.0264 0.0237 1.0000 1.0147 0.9610 0.8634

Electricity 0.4042 0.4333 0.4400 0.4664 1.0000 1.0721 1.0886 1.1541

Commercial

-

Propane 0.0100 0.0112 0.0110 0.0107 1.0000 1.1273 1.1051 1.0769

Motor Gasoline 2/ 0.0012 0.0010 0.0011 0.0011 1.0000 0.8172 0.8623 0.9058

Kerosene 0.0001 0.0001 0.0001 0.0001 1.0000 1.0000 1.2727 1.7091

Distillate Fuel Oil 0.0193 0.0179 0.0180 0.0180 1.0000 0.9234 0.9300 0.9323

Residual Fuel Oil 0.0000 0.0001 0.0001 0.0001 0.0000 0.0000 0.0000 #DIV/0!

Petroleum and Other Liquids Subtotal 0.0306 0.0302 0.0302 0.0301 1.0000 0.9882 0.9875 0.9824

Natural Gas 0.1221 0.1320 0.1318 0.1337 1.0000 1.0807 1.0792 1.0948 

### Growth Factors (GF) = FY

BY

Page | 2Consumption Category Fuel Consumption Prices Fuel Consumption Growth Factors

Year Year

2012 2017 2020 2027 2012 2017 2020 2027

Coal 0.0021 0.0021 0.0021 0.0021 1.0000 0.9854 0.9821 0.9755

Renewable Energy 3/ 0.0046 0.0046 0.0046 0.0046 1.0000 1.0000 1.0000 1.0000

Electricity 0.2799 0.2886 0.2972 0.3206 1.0000 1.0312 1.0617 1.1454

Industrial

-

Liquefied Petroleum Gases and Other 5/ 0.0290 0.0334 0.0356 0.0374 1.0000 1.1518 1.2294 1.2916

Motor Gasoline 2/ 0.0154 0.0176 0.0178 0.0176 1.0000 1.1433 1.1586 1.1449

Distillate Fuel Oil 0.0870 0.1006 0.1008 0.1005 1.0000 1.1559 1.1578 1.1542

Residual Fuel Oil 0.0056 0.0081 0.0086 0.0087 1.0000 1.4395 1.5304 1.5458

Petrochemical Feedstocks 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

Other Petroleum 6/ 0.2574 0.2612 0.2624 0.2707 1.0000 1.0146 1.0192 1.0513

Petroleum and Other Liquids Subtotal 0.3945 0.4209 0.4253 0.4349 1.0000 1.0669 1.0780 1.1024

Natural Gas 0.5031 0.5143 0.5293 0.5557 1.0000 1.0223 1.0522 1.1046

Natural

- Gas

- to

- Liquids Heat and Power 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

Lease and Plant Fuel 7/ 0.0391 0.0350 0.0332 0.1175 1.0000 0.8961 0.8498 3.0056

Natural Gas Subtotal 0.5422 0.5493 0.5626 0.6732 1.0000 1.0132 1.0376 1.2416

Metallurgical Coal 0.0480 0.0616 0.0663 0.0848 1.0000 1.2833 1.3827 1.7685

Other Industrial Coal 0.1336 0.1463 0.1481 0.1520 1.0000 1.0958 1.1089 1.1379

Coal

- to

- Liquids Heat and Power 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

Net Coal Coke Imports 0.0003 0.0008 0.0003 -

0.0013 1.0000 2.6019 0.7870

- 3.9877

Coal Subtotal 0.1819 0.2087 0.2147 0.2355 1.0000 1.1479 1.1805 1.2951

Biofuels Heat and Coproducts 0.0367 0.0504 0.0430 0.0391 1.0000 1.3743 1.1728 1.0672

Renewable Energy 8/ 0.2545 0.2785 0.2908 0.3223 1.0000 1.0944 1.1426 1.2663

Electricity 0.4149 0.4876 0.5133 0.5538 1.0000 1.1753 1.2374 1.3348

Transportation

-

Propane 0.0037 0.0033 0.0033 0.0039 1.0000 0.8931 0.8977 1.0494

Motor Gasoline 2/ 1.1596 1.0895 1.0372 0.8908 1.0000 0.9395 0.8944 0.7681

E85 9/ 0.0012 0.0060 0.0162 0.0365 1.0000 4.8109 13.0160 29.2364

Jet Fuel 10/ 0.1511 0.1547 0.1573 0.1615 1.0000 1.0241 1.0412 1.0689

Distillate Fuel Oil 11/ 0.4904 0.5618 0.5769 0.6203 1.0000 1.1456 1.1765 1.2650

Residual Fuel Oil 0.0090 0.0090 0.0089 0.0087 1.0000 1.0031 0.9920 0.9626

Other Petroleum 12/ 0.0098 0.0100 0.0100 0.0100 1.0000 1.0142 1.0195 1.0229

Petroleum and Other Liquids Subtotal 1.8237 1.8283 1.7937 1.6952 1.0000 1.0025 0.9836 0.9296

Pipeline Fuel Natural Gas 0.0807 0.0730 0.0743 0.0763 1.0000 0.9047 0.9212 0.9464

Compressed / Liquefied Natural Gas 0.0021 0.0036 0.0040 0.0108 1.0000 1.7327 1.8871 5.1353

Liquid Hydrogen 0.0000 0.0000 0.0001 0.0001 0.0000 0.0000 0.0000 0.0000

Electricity 0.0001 0.0004 0.0005 0.0007 1.0000 3.6186 4.7423 7.4845



### Employment

–

Projected employment is the most appropriate growth indicator to use for source categories whose

emissions are calculated using employment. Employment data was obtained from the University of

Tennessee, Data Center, 2014 Econometric Model Forecast for the ten year period from 2013 through 2023.

This data is regional and was chosen because it is representative of Shelby, County Tennessee.

Adjustments were made to this dataset to include the years 2012 and 2027. For 2012, e mployment data

was back filled from a previous forecast. For 2027, however, it was employment data was calculated with

the growth formula stated below,

Emp

n 

### = Emp

o 

### (1 + r) t

Page | 3

### Where:

Emp

n 

### = the new (projected) employment number

Emp

o 

### = the 2012 employme nt number

r = is the growth rate for the period from 2012 to 2023 (see note provided below)

t = is the time associated with the growth period, years

Note: First, the growth rate r must be determined for each employment category. This was d one by

resolving the growth formula for r, as follows,

r = (Emp

n 

### / Emp

o 

### ) 1/t



### - 1

t = 11 years , the time span from 2012 to 2023

Emp

n 

### = the 2023 employment number

Emp

o 

### = the 2012 employment number

The resulting growth rate was then input into the growth formula to determine the employment estimate

for 2027.

For example, the total nonfarm employment estimate for 2027 was determined as follows,

Emp

n 

### = Emp

o 

### (1 + r) t



### Given:

Emp

o 

### = 2,715,000 million, total employed nonfarm workers

r = 0.0127

t = 15 years

Solution:

Emp

n 

### = 2,715,000 (1 + 0.01265) 15



### Emp

n 

### = 3,278,400, total employed nonfarm workers, approximately

After the 2027 employment data is determined for all categories, employment growth factors were

calculated by dividing the future year employment estimate by the base year (2012) employment estimate

the using the equation below , as follows:

Growth Factors (GF) = FY

BY

Where:

BY = base year employment estimate

FY = future year employment estimate

Page | 4

### For example,

Growth Factors (GF) = 0.0224

0.0301

= 0.7440

A summary table of employment data and growth factors is presented below in Table 2.

* Indicates data that was back filled from a previous Economic Forecast

** Indicates data that was projected by SCHD

- PCS



### Population

–

Population projections are appropriate growth indicators for certain source categories

. This is especially

true for source categories that use county specific data when other methodologies are not available or Table 2: Tennessee Nonfarm and Durable Goods Manufacturing Employment by Sector ('000 of jobs), January 2014

Growth Rate

*2012 2017 2020 **2027 2012

thru

2023 *2012 2017 2020 **2027

TO TAL NO NFARM 2715.0 2941.0 3029.9 3278.5 0.01265 1.000 1.083 1.116 1.208

NATURAL RESOURCES, MINING & CONST 109.4 120.7 125.5 135.4 0.01434 1.000 1.103 1.147 1.238

MANUFACTURING 313.5 325.8 321.7 313.3 -0.00004 1.000 1.039 1.026 0.999

DURABLE GOODS 194.1 210.6 210.4 211.4 0.00573 1.000 1.085 1.084 1.089

NONDURABLE GOODS 119.4 115.2 111.4 102.4 -0.01018 1.000 0.965 0.933 0.858

TRADE, TRANSPORTATION, UTILITIES 575.3 613.1 619.6 644.7 0.00762 1.000 1.066 1.077 1.121

WHOLESALE TRADE 120.7 126.1 128.4 130.6 0.00528 1.000 1.045 1.063 1.082

RETAIL TRADE 313.5 332.4 332.1 342.6 0.00593 1.000 1.060 1.059 1.093

TRANSPORTATION & UTILITIES 141.0 154.6 159.1 171.6 0.01318 1.000 1.096 1.128 1.217

INFORMATION 43.0 43.9 45.3 48.7 0.00830 1.000 1.019 1.052 1.132

FINANCIAL ACTIVITIES 137.6 141.9 140.9 141.6 0.00193 1.000 1.032 1.025 1.029

PROFESSIONAL & BUSINESS SERVICES 336.6 400.6 432.5 536.3 0.03154 1.000 1.190 1.285 1.593

EDUCATION & HEALTH SERVICES 394.1 438.8 468.9 543.0 0.02160 1.000 1.113 1.190 1.378

LEISURE & HOSPITALITY 277.2 320.9 327.3 352.4 0.01613 1.000 1.158 1.181 1.271

OTHER SERVICES 104.2 105.9 105.0 103.8 -0.00024 1.000 1.016 1.008 0.996

GOVERNMENT 424.2 429.5 443.3 469.2 0.00676 1.000 1.013 1.045 1.106

FEDERAL, CIVILIAN 50.3 42.3 40.4 35.7 -0.02261 1.000 0.840 0.803 0.710

STATE & LOCAL 373.9 387.2 402.9 434.8 0.01012 1.000 1.036 1.078 1.163

TO TAL DURABLE GO O DS 194.1 210.6 210.4 211.4 0.00573 1.000 1.085 1.084 1.089

WOOD PRODUCTS 11.1 10.9 10.7 10.5 -0.00359 1.000 0.989 0.972 0.947

NONMETALLIC MINERALS 12.5 13.4 13.4 13.5 0.00541 1.000 1.077 1.078 1.084

PRIMARY METALS 9.7 11.3 11.4 11.7 0.01292 1.000 1.163 1.179 1.212

FABRICATED METALS 34.4 34.4 34.1 33.5 -0.00177 1.000 1.001 0.990 0.974

MACHINERY 25.5 27.8 28.5 29.5 0.00997 1.000 1.092 1.121 1.161

COMPUTERS & ELECTRONICS 5.8 5.2 4.8 4.2 -0.02187 1.000 0.898 0.833 0.718

ELECTRICAL EQUIPMENT, APPLIANCES 17.9 19.3 19.4 19.5 0.00583 1.000 1.079 1.084 1.091

TRANSPORTATION EQUIPMENT 53.6 64.1 64.7 67.4 0.01537 1.000 1.196 1.208 1.257

FURNITURE 8.8 8.8 8.2 7.3 -0.01157 1.000 1.003 0.935 0.840

MISCELLANEOUS DURABLES 15.0 15.3 15.0 14.7 -0.00094 1.000 1.025 1.004 0.986

Source: Center for Business and Economic Research, University of Tennessee Growth Factors Forecast Employment Data

Employment Sector

Page | 5

### cannot be applied. P opulation projections for Shelby County, Tennessee for 2017, 2020, and 2027 were

obtained from the Center for Business and Economic Research (CBER), University of Tennessee,

Knoxville. The CBER collects and develops demographic data for the State of Tennessee and then reports

it to the U.S. Census Bureau. 

### Using this population data, population growth factors were calculated

by dividing the future year population estimate by the base year (2012) population estimate the

using the equation below , as follows :

Growth Factors (GF) = FY

BY

Where:

BY = base year population estimate

FY = future year population estimate

For example,

Growth Factors (GF) = 964,804

937,763

= 1.029

A summary table of population data and growth factors is presented below in Table 3.

Table 3: Shelby County, Tennessee Population Data and Growth Factors

Population Data Population Growth Factor

Year Year

2012 2017 2020 2027 2012 2017 2020 2027

937,763 964,804 981,022 1,012,113 1.000 1.029 1.046 1.079

Page | 6

## Point Sources Emission Estimation Methodology :

The base

- year point source emissions inventory presented in this document is based on the 2012

Shelby County, Tennessee Emissions Inventory Questionnaire (EIQ) which is an annual emissions

inventory survey conducted by the Department. Although all of the c riteria pollutants and a large

number of hazardous air pollutants are inventoried in the EIQ, only oxides of nitrogen (NOx),

carbon monoxide (CO), and volatile organic compounds (VOC) are reported here since they are the

precursor pollutants involved in oz one formation.

The EIQ process is as follows, an EIQ containing data submitted the previous year is sent to the

designated facility contact via e

- mail. All facilities receiving the EIQ are required to update the data

and return the information to the De partment in an electronic format accompanied by a hardcopy

printout.

While emissions are reported in the EIQ on an annual basis, facilities are required to account for

summer operations by providing the annual throughput, the seasonal throughput percent age, and the

weekly operations schedule. In addition, it is understood that summer season percentage constitutes

25% of the year. Taking all of these factors into account, typical summer/ozone season day

emissions are determined in tons per day using the following equation,

Summer Season Day Emissions (tons per day) = ((Annual Throughput x SAF)/ (WAF x Weeks per Year))

where

SAF = Seasonal Throughput Percentage/ Percentage of Months Associated with Summer

WAF = Weekly Activity Factor (The Number of Days of operation per Week)



### Typical summer/ozone season day emissions point estimates of NOx, CO, and VOC are calculated

on a ton per day (tpd) basis and presented below in Table PS1

Table PS1 : Point Source Base

- year Summer/Ozone Season Day Emissions of NOx , CO, and VOC

Source

ID Company Name Annual Emissions

(tons/year) Summer Season Day

Emissions (tons/day)

NOx CO VOC NOx CO VOC

00036 ConAgra Foods, Inc. 9.74 13.79 15.65 0.03 0.04 0.05

00038 Archer Daniels Midland Co. Memphis 19.41 16.29 119.14 0.05 0.04 0.33

00045 Cargill Corn Milling 448.59 1112.72 1111.57 1.23 3.06 3.05

00050 Wm Barr 0.00 0.00 12.81 0.00 0.00 0.05

00055 Buckeye Technologies Inc. 79.77 24.88 4.66 0.44 0.16 0.04

00083 UTC

- Climate, Controls, and Security 1.58 1.27 16.27 0.01 0.00 0.09

00094 Johnson Bryce Inc. 1.55 0.96 66.96 0.00 0.00 0.18

00097 DuPont Memphis Plant 844.99 265.55 58.55 2.32 0.73 0.16

00101 Valero Refining Company

- Tennessee, L.L.C. 507.18 279.83 709.31 1.39 0.77 1.95

00128 Jordan Aluminum Extrusion Company, LLC 0.24 0.20 9.65 0.00 0.00 0.04

00150 PMC Biogenix, Inc. 191.99 68.47 10.80 0.58 0.22 0.07

00190 KTG

- USA, Inc. 24.70 20.80 40.12 0.07 0.06 0.11

00205 Fleischmann's Yeast* 3.02 2.53 81.25 0.01 0.01 0.22

00274 PENNAKEM, LLC 18.84 13.65 38.91 0.10 0.08 0.19

00279 Solae, L.L.C. 119.46 167.57 4.60 0.33 0.46 0.01

00290 Sonoco Products Company (Harbor)* 2.64 2.22 171.59 0.01 0.01 0.47

00292 Sonoco Products Company (Ragan St.) 0.00 0.00 5.56 0.00 0.00 0.02

00300 Blues City Brewery, LLC* 10.79 9.07 10.21 0.03 0.02 0.03

00347 Memphis Trumbull Asphalt 9.92 29.86 15.96 0.03 0.08 0.04

00367 Velsicol Chemical Corporation* 0.00 0.00 0.24 0.00 0.00 0.00

00420 The Bryce Company LLC 3.09 0.96 57.77 0.01 0.00 0.16

Page | 7Source

ID Company Name Annual Emissions

(tons/year) Summer Season Day

Emissions (tons/day)

NOx CO VOC NOx CO VOC

00465 St. Jude Children's Research Hospital 10.69 9.99 0.74 0.08 0.05 0.00

00475 Lucite International, Inc. 52.95 198.84 179.33 0.15 0.55 0.49

00528 Allen Fossil Plant (ALF) 1816.17 624.60 135.64 5.85 2.02 0.44

00605 SFI of Tennessee* 0.13 0.11 33.77 0.00 0.00 0.09

00664 FedEx Memphis Air Operations Complex (AOC) 46.90 9.42 17.35 0.67 0.13 0.08

00710 Nucor Steel Memphis, Inc. 97.11 792.34 51.04 0.27 2.18 0.14

00819 Arkema, Inc. 83.12 16.51 194.42 0.21 0.03 0.60

00904 American Yeast Corporation, Tennessee* 1.90 2.40 65.10 0.01 0.01 0.18

Total 4406.46 3684.82 3238.97 13.87 10.70 9.30

* The emissions inventory was developed by the SCHD

- PCS Air Planning Branch using information provided by the source in

a previous emissions inventory in combination with 2012 emissions data provided to SCHD

- PCS Air Billing

**Summer Season Day Emissions = (Annual Emissions) x (SAF) /(days per week) x (weeks per year)

where

- Seasonal Adjustment Factor (SAF) = Summer Throughput/0.25



### Future

- year point emissions estimates for 2017, 2020, and 2027 were projected with growth factors

developed from the United States Department of Energy, 2014 Annual Energy Outlook (AEO)

projections and the University of Tennessee, Data Center, 2014 Econome tric Model Forecast. As a

conservative measure, a value of 1 was substituted for all negative growth factors. Files containing

point source data can be found in Attachment I.

Page | 8

## On

- road Mobile Sources Emission Estimation Methogology :

The on

- road mobile so urce emissions inventory was developed with EPA’s Motor Vehicle

Emissions Simulator model (MOVES2014), using input data provided by the Memphis area

Metropolitan Planning Organization (MPO). The 2012 base

- year on

- road mobile inventory was

developed in acco rdance with the guidance provided in the document titled, “MOVES2014

Technical Guidance: Using MOVES to Prepare Emissions Inventories in State Implementation

Plans and Transportation Conformity, EPA

- 420

- b

- 15

- 007”. The vehicle population and the vehicle

mil es traveled (VMT) for Shelby County during the 2012 base year are summarized below in Table

OR1 and Table OR2,

Table OR1

- Shelby County Tennessee Vehicle Population

Description of Vehicle

Type Source Type ID Shelby County Vehicle

Population

Motorcycle 11 11316

Passenger Car 21 321490

Passenger Truck 31 258958

Light Commercial Truck 32 19875

Intercity Bus 41 646

Transit Bus 42 270

School Bus 43 655

Refuse Truck 51 254

Single Unit Shorthaul Truck 52 9934

Single Unit Longhaul Truck 53 1665

Motor Home 54 2926

Combination Shorthaul Truck 61 4265

Combination Longhaul Truck 62 5355

Total 637610

Table OR2 - 2012 Shelby County Tennessee Daily Vehicle Miles Traveled

Description of Roadway

Type Urban Roadways Rural Roadways County

Total

Interstate 108,040 5,903,386 6,011,426

Freeway 0 1,306,125 1,306,125

Pricinpal Arterial 284,827 5,269,737 5,554,564

Minor Arterial 256,950 5,780,717 6,037,667

Major Collector 16,931 1,517,400 1,534,331

Minor Collector 0 166,538 166,538

Local 164,433 3,384,212 3,548,645

Total 831,181 23,328,115 24,159,296

Page | 9

### Table OR3 summarizes the setting used in the MOVES2014 run specification file.

Table OR3

- 2012 Shelby County, Tennessee On

- road Mobile Run Specification for MOVES2014

MOVES2014 Run Specification Parameter Settings

Scale County, Inventory

Time Span Time aggregation = Hour

Month 7 (July) for summer conditions

All hours of the day selected

Weekdays only

Geographic Bounds Custom Domain

- Shelby County, Tennessee

Vehicles/ Equipment All valid source types, gasoline, diesel, and ethanol

Road Type All road types including off

- network

Pollutants and Processes NOx, CO, and VOC

General Output Units = tons, miles, BTU

Output Emissions By SCC

Advanced Performance None



### Table OR4: summarizes the 2012 onroad emissions estimates that were generated by MOVES2014

for the Shelby County, Tennessee area

Table OR4

- 2012 Shelby County, Tennessee On

- road Mobile Emissions Estimates of NOx, CO, and VOC

Year NOx CO VOC

(tpd) (tpd) (tpd)

2012 61.56 216.10 19 .01



### Future

- year on

- road emissions estimates for 2017, 2020, and 2027 were also generated with

MOVES2014. A complete discussion of the methodologies used to develop the onroad emissions

inventory categories is provided in the document titled

, “ Onroad Sources Em ission Estimation and

Future Year Projection Methodology ” and can be founded in Attachment I of this document. Files

containing on

- road mobile source data are found in Attachments III through VI. Finally, it should be

noted that in 2012 a 7.8 RVP value was used as an input in the fuels database, however, for 2017,

2020, and 2027 a 9.0 RVP value wa s used for E15 and a 10 RVP was used for E10, to account for

the 1psi waiver.

Page | 10

## Non

- road Mobile Sources Emission Estimation Methodology :

Nonroad mobile sources represent a large diverse set of off

- road vehicles and non

- stationary

equipment that typicall y do not operate on roadways designated for transportation purposes. For the

purpose of developing emission estimates, nonroad vehicles and equipment are grouped into four

segments, which are as follows: 1.) non

- road equipment, 2.) airport, 3.) commercial marine vessels,

and 4.) locomotives.

Non

- road Equipment

- The majority of non

- road mobile emissions are produced by the non

- road equipment segment. This

segment includes, but is not limited to: agricultural equipment, construction equipment, lawn and

gard en equipment, and recreational vehicles, such as, boats, jet

- skis, atvs, etc...

Typical summer/ozone season day emissions estimates, in tons per day, were generated with EPA’s

NONROAD2008 model, which is a feature of MOVES2014. The nonroad model estimates

emissions for each specific type of non

- road equipment by multiplying the following input data

estimates:

• Equipment population for base year (or base year population grown to a future year),

distributed by age, power, fuel typ e, and application;

• Average load factor, expressed as average fraction of available power;

• Available power, in horsepower;

• Activity, in hours of use per year; and

• Emission factor with deterioration and/or new standards.

The emissions are then tem porally and geographically allocated using appropriate allocation

factors.

Nonroad model runs were made for a typical summer weekday. Methodology to prepare

inputs for the ozone season day is provided below.

Temperature:

Temperature data were acquired from the National Climatic Data Center (NCDC). Hourly average

temperature data for the month of July were collected for Memphis International (MEM) station and

are displayed below in the table NR E 1.

Table NR E 1

- National Climatic Data for Memphis International (MEM) station



### monthID zoneID hourID temperature relHumidity

7 471570 1 78.3665 75.8095

7 471570 2 77.7349 77.1724

7 471570 3 77.3563 78.1895

7 471570 4 76.7155 79.6989

7 471570 5 76.2387 81.1354

7 471570 6 76.8696 80.8751

7 471570 7 78.9485 76.1752

Page | 11

### monthID zoneID hourID temperature relHumidity

7 471570 8 81.2364 71.2923

7 471570 9 83.6638 66.1606

7 471570 10 85.8604 61.6781

7 471570 11 87.5636 57.5133

7 471570 12 89.059 54.8783

7 471570 13 89.362 53.9532

7 471570 14 89.8982 53.0008

7 471570 15 90.5108 51.5958

7 471570 16 90.2163 51.6398

7 471570 17 89.1768 52.8464

7 471570 18 87.7187 55.3528

7 471570 19 85.1784 60.3389

7 471570 20 83.3466 64.4663

7 471570 21 82.4909 66.2174

7 471570 22 81.1991 69.0095

7 471570 23 80.3092 70.8352

7 471570 24 79.4253 73.0605



### Fuel inputs:

Ozone season Reid Vapor Pressure (RVP) of 7.8 was entered for 2012 and 9.0 for 2017, 2020, and

2027. The fuel supply inputs for 2012, 2017, 2020, and 2027 are listed below in table NRE2. The

fuel supply inputs for 2012, 2017, 2020, and 2027 are listed below in table NR E 2

.

Table NR E 2

- Nonroad2008 Fuel Supply inputs

fuelRegionID fuelYearID monthGroupID fuelFormulationID marketShare marketShareCV

278000000 2012 7 2834 1 0.5

278000000 2012 7 25001 1 0.5

278000000 2012 7 27002 1 0.5

278000000 2017 7 3479 1 0.5

278000000 2017 7 25005 1 0.5

278000000 2017 7 27002 1 0.5

278000000 2017 7 28001 1 0.5

278000000 2020 7 3866 1 0.5

278000000 2020 7 25005 1 0.5

278000000 2020 7 27002 1 0.5

278000000 2020 7 28001 1 0.5

278000000 2027 7 4769 1 0.5

278000000 2027 7 25005 1 0.5

278000000 2027 7 27002 1 0.5

278000000 2027 7 28001 1 0.5



### The fuel formulation inputs for 2012, 2017, 2020, and 2027 are listed below in table NR E 3 :

Page | 12

### Table NR E 3

- Nonroad2008 Fuel formulation inputs

year fuel

FormulationID fuel

typeID RVP sulfur

Level ETOH

Vol MTBE

Vol aromatic

Content olefin

Content benzene

Content e200 e300 T50 T90

2012 10 10 6.9 30 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2012 20 20 0 11 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2012 50 51 7.7 11 85 0.00 0.00 0.00 0.00 49.90 89.50 200.00 300.00

2012 96 10 8.7 338 0 0.00 26.40 11.90 1.64 50.00 83.00 199.82 329.41

2012 97 10 6.6 150 0 11.76 24.00 11.00 0.80 52.00 84.00 195.74 324.86

2012 98 10 6.9 30 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2012 99 10 6.9 90 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2012 2834 12 8.8 30 10 0.00 24.94 8.08 0.63 49.74 81.72 203.57 337.80

2012 25001 20 0 15 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2012 27002 51 7.7 8 74 0.00 0.00 0.00 0.00 49.90 89.50 200.00 300.00

2017 10 10 6.9 30 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2017 20 20 0 11 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2017 30 30 0 7.6 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2017 50 51 7.7 11 85 0.00 0.00 0.00 0.00 49.90 89.50 200.00 300.00

2017 96 10 8.7 338 0 0.00 26.40 11.90 1.64 50.00 83.00 199.82 329.41

2017 97 10 6.6 150 0 11.76 24.00 11.00 0.80 52.00 84.00 195.74 324.86

2017 98 10 6.9 30 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2017 99 10 6.9 90 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2017 3479 12 10 10 10 0.00 23.40 6.67 0.63 51.18 82.83 197.42 330.19

2017 3481 15 9 10 15 0.00 22.06 5.49 0.63 57.27 83.35 184.99 327.82

2017 25005 21 0 15 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2017 27002 51 7.7 8 74 0.00 0.00 0.00 0.00 49.90 89.50 200.00 300.00

2017 28001 30 0 7.6 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2020 10 10 6.9 30 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2020 20 20 0 11 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2020 30 30 0 7.6 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2020 50 51 7.7 11 85 0.00 0.00 0.00 0.00 49.90 89.50 200.00 300.00

2020 96 10 8.7 338 0 0.00 26.40 11.90 1.64 50.00 83.00 199.82 329.41

2020 97 10 6.6 150 0 11.76 24.00 11.00 0.80 52.00 84.00 195.74 324.86

2020 98 10 6.9 30 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2020 99 10 6.9 90 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2020 3866 12 10 10 10 0.00 23.40 6.67 0.63 51.18 82.83 197.42 330.19

2020 3868 15 9 10 15 0.00 22.06 5.49 0.63 57.27 83.35 184.99 327.82

2020 25005 21 0 15 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2020 27002 51 7.7 8 74 0.00 0.00 0.00 0.00 49.90 89.50 200.00 300.00

2020 28001 30 0 7.6 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2027 10 10 6.9 30 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2027 20 20 0 11 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2027 30 30 0 7.6 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2027 50 51 7.7 11 85 0.00 0.00 0.00 0.00 49.90 89.50 200.00 300.00

Page | 13year fuel

FormulationID fuel

typeID RVP sulfur

Level ETOH

Vol MTBE

Vol aromatic

Content olefin

Content benzene

Content e200 e300 T50 T90

2027 96 10 8.7 338 0 0.00 26.40 11.90 1.64 50.00 83.00 199.82 329.41

2027 97 10 6.6 150 0 11.76 24.00 11.00 0.80 52.00 84.00 195.74 324.86

2027 98 10 6.9 30 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2027 99 10 6.9 90 0 0.00 26.10 5.60 1.00 41.09 83.09 218.00 329.00

2027 4769 12 10 10 10 0.00 23.40 6.67 0.63 51.18 82.83 197.42 330.19

2027 4771 15 9 10 15 0.00 22.06 5.49 0.63 57.27 83.35 184.99 327.82

2027 25005 21 0 15 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

2027 27002 51 7.7 8 74 0.00 0.00 0.00 0.00 49.90 89.50 200.00 300.00

2027 28001 30 0 7.6 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00



### Non

- 

### road equipment emissions are displayed in T able NR E 4 below

Table NR E 4

- Shelby County, Tennessee 2012 Non

- road Equipment Summer Season Day Emissions

Category 2012

NOX

(tpd) CO

(tpd) VOC

(tpd)

Nonroad Equipment Total 17.70 298.31 25.81



### Future year projections for 2017, 2020, and 2027 summer/ozone season day emissions estimates, in

tons per day were generated with EPA’s NONROAD2008 model and are summarized in T able

NR E 5 below

Table NR E 5

– Shelby County, Tennessee Future

- Year Nonroad Equipment Projections for 2017, 2020, and 2027

Year Annual Estimates Daily Estimates

Annual

NOx Annual

CO Annual

VOC Daily

NOx

(OSD) Daily

CO

(OSD) Daily

VOC

(OSD)

(tpy) (tpy) (tpy) (tpd) (tpd) (tpd)

2017 12.80 289.84 18.52

2020 10.98 297.65 16.89

2027 9.10 323.31 16.30



### A MS

- Excel workbook, titled “ 2012_2017_2020_and2027_Nonroad Mobile Equipment Emissions

Summary ”

, contains the methodologies and results used to develop the Non

- road Equipment

emissions inventory founded in Attachment I of this document.

Page | 14

### Airport

- Airport emissions are produced by sources, such as, aircraft engines, auxiliary power units, and

ground support equipment. The Department developed this segment of the 2012 emissions

inventory by projecting the nonroad airport emissions estimates generated by EPA for the 2011

National Emission Inventory (2011 NEI). The 2011 NEI estimates were determined with the

Emissions Dispersion Modeling System (EDMS) utilizing Shelby County, Tennessee aircraft

operations data for both airports and heliports as inputs.

Typical summer/ozone season day emissions estimates were determined by dividing the annual

emissions estimates by 365 as follows

Airport Emissions (tons/day) = Airport Emissions (tons)/365 days

The base

- year 2012 Airport summer/ozone season day emissio ns estimates are displayed below in

Table NR A1

Table NR A1

- Shelby County, Tennessee 2012 Airport Summer Season Day Emission Estimates

Category 2012

NOX

(tpd) CO

(tpd) VOC

(tpd)

Airport Total 8.74 12.95 2.12



### Future

- year airport emissions estimates for 2017, 2020, and 2027 were projected with growth

factors developed from the United States Department of Energy, 2014 Annual Energy Outlook

(AEO) projections and the University of Tennessee, Data Center, 2014 Econo metric Model

Forecast. As a conservative measure, a value of 1 was substituted for all negative growth factors.

Future year airport projections for 2017, 2020, and 2027 summer/ozone season day emissions

estimates, in tons per day are summarized in T able NR A2 below

Table NR A2

– Shelby County, Tennessee Future

- Year Airport Projections for 2017, 2020, and 2027

Year Annual Estimates Daily Estimates

Annual

NOx Annual

CO Annual

VOC Daily

NOx

(OSD) Daily

CO

(OSD) Daily

VOC

(OSD)

(tpy) (tpy) (tpy) (tpd) (tpd) (tpd)

2017 9.15 13.26 2.21

2020 9.34 13.48 2.26

2027 9.71 14.01 2.35



### A MS

- Excel workbook, titled “ 2012 Shelby County TN Airport Emissions Estimates and 2017

202 0 2027 Projections of NOx CO and VOC Final ”, contains the methodologies and results used to

develop the airport emissions inventory founded in Attachment I of this document.

Page | 15

### Commercial Marine Vessels

-

The commercial marine vessel (CMV) emission inventory was developed from local activity data

relating to commercial marine vessel traffic operating in the Port of Memphis and on the Mississippi

River. This traffic tends to mainly involved towboats pushing barges up and down the Missis sippi

River along the western edge of Shelby County, Tennessee which is approximately a distance of 40

miles. With Mississippi River currents having an average speed of 3

- 4miles per hour, the downriver

trip tends to require 5

- hours to complete, whereas, th e upriver trip tends to require 8

- hours to

complete.

Emission estimates for commercial marine vessels were generated using activity data obtained from

the Waterborne Commerce of the United States, Calendar Year 2012, which is published by the US

Corp of E ngineers. Technical incites were obtained through discussions with both the US Corp of

Engineers and local companies involved with commercial marine vessels. These discussions

focused on things such as, average towboat horsepower, trip times in hours for b oth upriver and

downriver trips, hoteling times, the number and duration of mid

- stream refueling, etc... With the

aid this information, commercial marine vessel emission estimates were determined for upriver and

downriver trips, as well as, all time in mode operations using the following equations,

CMV Emissions (tons) = (Trips Up River x Power x EF x LF x Time x C) + (Trips Down_River x Power x EF x LF x Time x C)



### Where

Trips = Number of trips up and down the Mississippi River (source: Waterborne Commerc e)

EF = Emissions Factor (g/kw

- hr) [kW = HP x 0.7457]

LF = Load Factor

Time = Activity Factor, hours of use

C = Conversion Factors from grams to tons

Typical summer/ozone season day emissions estimates were determined by taking the result from

above and dividing by 365 as follows

CMV Emissions (tons/day) = CMV Emissions (tons)/365 days



### The base

- year 2012 CMV summer/ozone season day emissions estimates are displayed below in

Table NR CMV1.

Table NR CMV1

- Shelby County, Tennessee 2012 CMV Summer Season Day Emission Estimates

Category 2012

NOX

(tpd) CO

(tpd) VOC

(tpd)

CMV Total 3.71028 0.693561 0.075302



### Future

- year commercial marine emissions estimates for 2017, 2020, and 2027 were projected with

growth factors developed from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model

Forecast. As a conservative measure, a value of 1 was substituted for all negative growth factors.

Future year CMV projections for 2017, 2020, and 2027 summer/ozone season day emissions

estimates, in tons per day are summarized in T able NRCMV2 below

.

Page | 16Table NR CMV2

– Shelby County, Tennessee Future

- Year CMV Projections for 2017, 2020, and 2027

Year Annual Estimates Daily Estimates

Annual

NOx Annual

CO Annual

VOC Daily

NOx

(OSD) Daily

CO

(OSD) Daily

VOC

(OSD)

(tpy) (tpy) (tpy) (tpd) (tpd) (tpd)

2017 1594.449 298.0497 32.36014 4.368354 0.816574 0.088658

2020 1635.731 305.7665 33.19798 4.481455 0.837716 0.090953

2027 1693.978 316.6547 34.27213 4.641037 0.867547 0.093896



### A MS

- Excel workbook, titled “ 2012 Shelby County TN CMV Emissions Estimates and 2017 2020

2027 Projections of NOx CO and VOC Final ”, contains the methodologies and results used to

develop the CMV emissions inventory founded in Attachment I of this document.

Locomotive

- The locomotive emission inventory was developed from local activity data. Five Class I, one

passenger, and one small railroad operate in Shelby County, Tennessee. Therefore, emissions

estimates were determined for line

- haul and switchyard locomotive operations by obtaining activity

data from railroad companies, federal agencies, and other sources. Typically, the railroad survey

request If railroad company officials fail to respond, locomotive emissions estimates were flat

- lined

based on the most recent submittal. Emission estimates for line

- haul and switchyard locomotives

were generated by entering activity data and EPA emissions factors into the following equation,

Locomotive Emissions (tons) = Fuel Consumption x EF x C

Where

EF = Emissions Factor (g/kW

- hr)

C = Conversion Factors from grams to tons

Typical summer/ozone season day emis sions estimates were determined by taking the result from

above and dividing by 365 as follows

Locomotive Emissions (tons/days) = Locomotive Emissions (tons)/365 days

The base

- year 2012 Locomotive summer/ozone season day emissions estimates are displayed below

in Table NR L1.

Table NR L1

- 2012 Shelby County, Tennessee Non

- road Emissions Summary for all categories

Category 2012

NOX

(tpd) CO

(tpd) VOC

(tpd)

Locomotive Totals 5.729 0.909 0.308



### Future

- year locomotive emissions estimates for 2017, 2020, and 2027 were projected with growth

factors developed from the United States Department of Energy, 2014 Annual Energy Outlook

Page | 17

### (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model

Forecast. As a conservative measure, a value of 1 was substituted for all negative growth factors.

Future year CMV projections for 2017, 2020, and 2027 summer/ozone season day emissions

estimates, in tons per day are summarized in Table NRL2 below

Table NR L2

– Shelby County, Tennessee Future

- Year Locomotive Projections for 2017, 2020, and 2027

Year Annual Estimates Daily Estimates

Annual

NOx Annual

CO Annual

VOC Daily

NOx

(OSD) Daily

CO

(OSD) Daily

VOC

(OSD)

(tpy) (tpy) (tpy) (tpd) (tpd) (tpd)

2017 5.731 0.909 0.308

2020 5.732 0.909 0.308

2027 6.499 1.031 0.349



### A MS

- Excel workbook, titled “ 2012 Shelby County, TN NonRoad Locomotive Emissions

Estimates and 2017 2020 and 2027 Projections NOx CO and VOC Final ”, contains the

methodologies and results used to develop the locomotive emissions inventory founded in

Attachment I of this document.

Typical summer/ozone season day emissions estimates of NOx, CO, and VOC are calculated on a

ton per day (tpd) basis and presented below in Table NRL3.

Table NR L 3

- 2012 Shelby County, Tennessee Non

- road Emissions Summary for all categories

Category 201 2

NOX

(tpd) CO

(tpd) VOC

(tpd)

Airport 8.74365 12.94627 2.120111

CMV 3.71028 0.693561 0.075302

Locomotive 5.728738 0.908827 0.307612

Nonroad Equipment 17.74852 296.3848 25.9378

Total 35.93118 310.9335 28.44082

Page | 18

## Nonpoint Source Emissions Estimation Methodoloy :

Industrial Distillate Oil Consumption (SCC: 2102004001)

Source Category Description Overview:

Industrial distillate oil c onsumption refers to distillate oil that is burned/ consumed in an industrial setting. The

general approach used to calculate emissions for this source category is to obtain State of Tennessee industrial

distillate oil consumption estimates from the Energy Informatio n Administration (EIA) 1 and allocate it to the Shelby

County, Tennessee

- level using the methods described below. To calculate the emissions for oxides of nitrogen

(NOx), carbon monoxide (CO), and volatile organic compounds (VOC) for a typical summer day, t he industrial

distillate oil consumption estimate at the Shelby County, Tennessee

- level is multiplied by AP

- 42 emission factors

.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with employment data provides a representative method with

which to apportion industrial distil late oil usage to the county level.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of total statewide industrial distillate oil consumption. This information is obtained from the 2012

State Energy Data System (SEDS), which is a comprehensive EIA database that tracks energy production,

consumption, prices, and expenditure by s tate. According to this reference source, industrial distillate oil

consumption in the state of Tennessee during calendar year 2012, is as follows:

2,008,000 barrels ( bbl. ) (unit conversion: 2,008,000 bbl. x 42 gal = 84,336,000 gal)

1 bbl.

Or

84,336,000 gallons (gal)

2. An estimate of the total industrial employment associated with the North American Industrial Classification

System (NAICS) codes 21 thru 339999 at both the state of Tennessee level and the Shelby County, Tennessee level.

This info rmation is obtained from the 2012 County Business Patterns 2 , a publication of the U.S. Census Bureau and

is presented in the table below.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Tennessee Shelby County, TN

21

---- Mining 3,368 0

22

---- Utilities (Correction

– TVA 164 employees) 3,578 0

23

---- Construction 94,832 14,072

31

---- Manufacturing 218,489 25,030

321/// Wood Product Manufacturing 11,277 642

322/// Paper Manufacturing 10,844 1,101

323/// Printing and Related Support Activities 11,656 1,704

324/// Petroleum and Coal Products Manufacturing 1,051 501

325/// Chemical Manufacturing 27,296 3,131

326/// Plastics and Rubber Products Manufacturing 22,066 525

327/// Nonmetallic Mineral Product Manufacturing 10,696 519

331/// Primary Metal Manufacturing (Correction

– Nucor 405 employees) 9,872 0

332/// Fabricated Metal Product Manufacturing 34,461 3,035

333/// Machinery Manufacturing 22,613 2,289

334/// Computer and Electronic Product Manufacturing 7,294 1,502

335/// Electrical Equipment, Appliance, and Component Manufacturing 12,905 319

336/// Transportation Equipment Manufacturing 44,365 277

337/// Furniture and Related Product Manufacturing 9,533 218

339/// Miscellaneous Manufacturing 12,202 4,682

Totals 568,398 59,547

Source: County Business Patterns

Page | 19The table above incorrectly indicates zero employment for NAICS Code 22

- Utilities and NAICS Code 331///

- Primary Metal Manufacturing. According to local employment information, TVA Allen employs 164 people,

M emphis, Light, Gas, and Water employs 2

, 700 people, Nucor Steel employs 4 05 people. These values will be

add ed to the Shelby County, Tennessee employment total displayed above. Ultimately, this data is used to develop a

ratio of industrial employment (IE ratio ) which is used to allocate industrial distillate oil consumption from the state

level to the county level. Specifically, IE ratio is t he ratio of industrial employees in Shelby County, Tennessee to the

industr ial employees in Tennessee and, a s the table in dicates, it is equal to 6 2,816 /568,398 or 0.1 127

.

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter

1: External Combustion Source (U.S. Environmental Protection Agency, July 1998) 3 , are presented in the table

below

Table : AP

- 42 Distillate Fuel Oil Emissions Factors

Pollutant Emissions Factor (lbs/10 3 gals) Reference

NOx 20 Table 1.3

- 1 boilers<100 million btu/hr, distillate oil fired

CO 5 Table 1.3

- 1 boilers<100 million btu/hr, distillate oil fired

VOC 0.2 Table 1.3

- 3 industrial boilers distillate oil fired

Calculation Methodology:

Emissions from this category are determined in two steps.

1. The industrial distillate oil allocation for Shelby County, Tennessee is determined by multiplying the 2012

industrial distillate oil consumption for the State of Tennessee and the industrial employment ratio developed from

the industrial employment totals associated with the NAICS codes 21 thru 339999, as shown in the following

equation:

S C FC = IE ratio x TN FC

where,

SC FC = Shelby County, Tennessee Industrial Distillate Oil Consumption

IE ratio = Industrial Employment Ratio

TN FC = State of Tennessee Distillate Oil Consumption

Thus, the Shelby County, Tennessee industrial distillate oil consumption is determined as follows:

SC FC = ( 62,816 /568,398) x 84,336,000 gallons

= 9,320,318.115 gallons

2. Point Source Subtraction

In 2012, Point source consumption of residual oil was 5,270,743.61 gallons. Subsequently, subtracting this amount

from the consumption value determined above revises the industrial distillate oil consumption total as follows:

SCFC Rev = (9,320,318.115

– 5,270,743.61 gallons)

= 4,049,574.505 gallons

3 . Emissions estimates are determined by multiplying the Shelby County, Tennessee industrial distillate oil

consumption by AP

- 42 emission factors, and then performing the conversion from pounds to tons. For example, the

emissions estimate for nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = S C FC Rev x EF x (1ton/2000 lbs)

= 4,049,574.505 gals x 20 lbs x 1 ton

10 3 gals 2000 lbs

= 40.496 tons/year

Page | 20Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 40.496 tons/year

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 6days/ week

Substituting this information into the equation gives

= ( 40.496 tons/year) (1)/ (6 days/week) (52 weeks)

= 0. 130 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Industrial Distillate Oil Consumption Emissions Estimates

Pollutant SCFC

(gallons) Emissions Factor

(lbs/10 3 gals) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 4,049,574.51 20 40.496 0.130

CO 4,049,574.51 5 10.124 0.032

VOC 4,049,574.51 0.2 0.405 0.001

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

F uture year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References :

1. State Energy Consumption Estimates 1960

- 2012 (formerly the State Energy Data Report) , United States

Department of Energy, Energy Information Administration, Office of Energy Markets and End Use, Washington,

DC . Internet Address:

Page | 212. County Business Patterns , US Census Bureau

. Internet Address: < http://www.census.gov/econ/cbp/download/12_data >

3

. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

4 Procedures for the Preparation of Emission Inventories for Carbon Monoxide and Precursors of Ozone, Vol. I:

General Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 22Industrial Residual Oil Consumption (SCC 2102005000)

Source Category Description Overview:

Industrial Residual Oil Consumption refers to residual oil that is burned/ consumed in an industrial setting. The

general approach used to calculate emissions for this source category is to obtain State of Tennessee industrial

residual oil consumption esti mates from the Energy Information Administration (EIA) 1 and allocate it to the Shelby

County, Tennessee

- level using the methods described below. To calculate the emissions for oxides of nitrogen

(NOx), carbon monoxide (CO), and volatile organic compounds (VOC) for a typical summer day, the industrial

residual oil consumption estimate at the Shelby County, Tennessee

- level is multiplied by AP

- 42 emission factors.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with employment data provides a representative method with

which to apportion industrial residu al oil usage to the county level.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of total statewide industrial distillate oil consumption. This information is obtained from the 2012

State Energy Data System (SEDS), which is a comprehensive EIA database that tracks energy production,

consumption, prices, and expenditure by state. Accord ing to this reference source, industrial distillate oil

consumption in the state of Tennessee during calendar year 2012, is as follows :

16,000 barrels (bbl) (unit conversion: 16,000 bbl x 42 gal = 672 ,000 gal)

1 bbl

Or

672 ,000 gallons (gal)

2. An estimate of the total industrial employment associated with the North American Industrial Classification

System (NAICS) codes 21 thru 339999 at both the state of Tennessee level and the Shelby County, Tennessee level.

This information is obtained from t he 2012 County Business Patterns2, a publication of the U.S. Census Bureau and

is presented in the table below. Ultimately, this data is used to develop a ratio of industrial employment (IEratio)

which is used to allocate industrial residual oil consumptio n from the state level to the county level.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Tennessee Shelby County, TN

21

---- Mining 3,368 0

22

---- Utilities 3,578 0

23

---- Construction 94,832 14,072

31

---- Manufacturing 218,489 25,030

321/// Wood Product Manufacturing 11,277 642

322/// Paper Manufacturing 10,844 1,101

323/// Printing and Related Support Activities 11,656 1,704

324/// Petroleum and Coal Products Manufacturing 1,051 501

325/// Chemical Manufacturing 27,296 3,131

326/// Plastics and Rubber Products Manufacturing 22,066 525

327/// Nonmetallic Mineral Product Manufacturing 10,696 519

331/// Primary Metal Manufacturing 9,872 0

332/// Fabricated Metal Product Manufacturing 34,461 3,035

333/// Machinery Manufacturing 22,613 2,289

334/// Computer and Electronic Product Manufacturing 7,294 1,502

335/// Electrical Equipment, Appliance, and Component Manufacturing 12,905 319

336/// Transportation Equipment Manufacturing 44,365 277

337/// Furniture and Related Product Manufacturing 9,533 218

339/// Miscellaneous Manufacturing 12,202 4,682

Totals 568,398 59,547

Source: County Business Patterns

Page | 23The table above incorrectly indicates zero employment for NAICS Code 22

- Utilities and NAICS Code 331///

- Primary Metal Manufacturing. According to local employment information, TVA Allen employs 164 people,

Memphis, Light, Gas, and Water employs 2,700 people, Nucor Steel employs 405 people. These values will be

added to the Shelby County, Tennessee employment total displayed above. Ultimately, this data is used to develop a

ratio of industrial employment (IE ratio ) which is used to allocate industrial distillate oil consumption from the state

level to the county level. Specifically, IE ratio is the ratio of industrial employees in Shelby County, Tennessee to the

industrial employees in Tennessee and, as the table indicates, it is equal to 62,816/568,398 or 0.1127.

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter 1:

External Combustion Source (U.S. Environmental Protection Agency, July 1998) 3 , are presented in the table below

Table : AP

- 42 Residual Fuel Oil Emissions Factors

Pollutant Emission s Factor (lbs/10 3 gals) Reference

NOx 55 Table 1.3

- 1 boilers<100 million btu/hr, residual oil fired

CO 5 Table 1.3

- 1 boilers<100 million btu/hr, residual oil fired

VOC 0.2 8 Table 1.3

- 3 industrial boilers residual oil fired

Calculation Methodology:

Emissions from this category are determined in two steps.

1. The industrial residual oil allocation for Shelby County, Tennessee is determined by multiplying the 2012

industrial distillate oil consumption for the State of Tennessee and the industrial e mployment ratio developed from

the industrial employment totals associated with the NAICS codes 21 thru 339999, as shown in the following

equation:

SCFC = IE ratio x TNFC

where,

SCFC = Shelby County, Tennessee Industrial Residual Oil Consumption

IE ratio = Industrial Employment Ratio

TNFC = State of Tennessee Residual Oil Consumption

Thus, the Shelby County, Tennessee industrial residual oil consumption is determined as follows:

SCFC = (62,816/568,398) x 672,000 gallons

= 74,265.48 gallons

2. Point Source Subtraction

In 2012, Point source consumption of residual oil was 449 gallons. Subsequently, subtracting this amount from the

consumption value determined above re vises the industrial residual oil cons umption total as follows:

SCFC Rev = ( 74,265.48

– 449 gallons )

= 73,816.48 gallons

3 Emissions estimates are determined for each pollutant by multiplying the Shelby County, Tennessee industrial

residual oil consumption estimate by AP

- 42 emission factors, and then performing the conversion from pounds to

tons. For example, the emissions estimate for nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = S C FC Rev x EF x (1ton/2000 lbs)

= 73,816.48 gals x 55 lbs x 1 ton

10 3 gals 2000 lbs

= 2.030 tons/year

Page | 24Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 2.030 tons/year

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 6 days/ week

Substituting this information into the equation gives

= ( 2.030 tons/year)(1) / (6 days/week) (52 weeks)

= 0.00651 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Industrial Residual Oil Consumption Emissions Estimates

Pollutant SCFC

(gallons) Emissions Factor

(lbs/10 3 gals) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 73,816.48 55 2.030 0.00651

CO 73,816.48 5 0.185 0.00059

VOC 73,816.48 0.28 0.010 0.00003

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References : 1.State Energy Consumption Estimates 1960

- 2012 (formerly the State Energy Data Report) , United States

Department of Energy, Energy Information Administration, Office of Energy Markets and End Use, Washington,

DC . Internet Address:

2. County Business Patterns , US Census Bureau

Internet Address: < http://www.census.gov/econ/cbp/download/12_data >

Page | 253. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

4 Procedures for the Preparation of Emission Inventories for Carbon Monoxideand Precursors of Ozone, Vol. I:

General Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 26Industrial Natural Gas Consumption (SCC 2102006000)

Source Category Description Overview:

Industrial Natural Gas Consumption refers to natural gas that is burned/ consumed in an industrial setting. The

general approach used to calculate emissions for this source category is to obtain State of Tennessee indu strial

natural gas consumption estimates from the Energy Information Administration (EIA) 1 and allocate it to the Shelby

County, Tennessee

- level using the methods described below. To calculate the emissions for oxides of nitrogen

(NOx), carbon monoxide (CO), and volatile organic compounds (VOC) for a typical summer day, the industrial

natural g as consumption estimate at the Shelby County, Tennessee

- level is multiplied by AP

- 42 emission factors

.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with employment data provides a representative method with

which to apportion industrial natura l gas usage to the county level.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate o f total statewide industrial natural gas consumption. This information is obtained from the.2012

State Energy Data System (SEDS), which is a comprehensive EIA database that tracks energy production,

consumption, prices, and expenditure by state. According to this reference source, industrial natural gas

consumption in the state of Tennessee during calendar year 2012, is as follows:

1 0 6 E9 FT3

Or

106,000 E6 FT3

2. An estimate of the total industrial employment associated with the North American Industrial Classification

System (NAICS) codes 21 thru 339999 at both the state of Tennessee level and the Shelby County, Tennessee level.

This information is obtained from t he 2012 County Business Patterns2, a publication of the U.S. Census Bureau and

is presented in the table below. Ultimately, this data is used to develop a ratio of industrial employment (IEratio)

which is used to allocate industrial natural gas consumption from the state level to the county level.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Tennessee Shelby County, TN

21

---- Mining 3,368 0

22

---- Utilities 3,578 0

23

---- Construction 94,832 14,072

31

---- Manufacturing 218,489 25,030

321/// Wood Product Manufacturing 11,277 642

322/// Paper Manufacturing 10,844 1,101

323/// Printing and Related Support Activities 11,656 1,704

324/// Petroleum and Coal Products Manufacturing 1,051 501

325/// Chemical Manufacturing 27,296 3,131

326/// Plastics and Rubber Products Manufacturing 22,066 525

327/// Nonmetallic Mineral Product Manufacturing 10,696 519

331/// Primary Metal Manufacturing 9,872 0

332/// Fabricated Metal Product Manufacturing 34,461 3,035

333/// Machinery Manufacturing 22,613 2,289

334/// Computer and Electronic Product Manufacturing 7,294 1,502

335/// Electrical Equipment, Appliance, and Component Manufacturing 12,905 319

336/// Transportation Equipment Manufacturing 44,365 277

337/// Furniture and Related Product Manufacturing 9,533 218

339/// Miscellaneous Manufacturing 12,202 4,682

Totals 568,398 59,547

Source: County Business Patterns

Page | 27The table above incorrectly show s zero employment for NAICS Code 22

- Utilities and NAICS Code 331///

- Primary Metal Manufacturing. According to local employment information, TVA Allen employs 164 people,

Memphis, Light, Gas, and Water employs 2,700 people, Nucor Steel employs 405 people. These values wil l be

added to the Shelby County, Tennessee employment total displayed above. Ultimately, this data is used to develop a

ratio of industrial employment (IE ratio ) which is used to allocate industrial distillate oil consumption from the state

level to the county level. Specifically, IE ratio is the ratio of industrial employees in Shelby County, Tennessee to the

industrial employees in Tennessee and, as the table indicates, it is equal to 62,816/568,398 or 0.1127.

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter

1: External Combustion Source (U.S. Environmental Protection Agency, July 1998) 3 , are presented in the table

below

Table : AP

- 42 Natural Gas Emissions Factors

Pollutant Emissions Factor ( lbs/ 10 6 cubic feet ) Reference

NOx 100 Table 1. 4

- 1 boilers<100 million btu/hr, natural gas fired

CO 84 Table 1. 4

- 1 boilers<100 million btu/hr, natural gas fired

VOC 5.5 Table 1. 4

- 2 industrial boilers natural gas fired

Calculation Methodology:

Emissions from this category are determined in two steps.

1. The industrial natural gas allocation for Shelby County, Tennessee is determined by multiplying the 2012

industrial natural gas consumption for the State of Tennessee and the industrial employment ratio developed from

the industrial employment totals associated with the NAICS codes 21 thru 339999, as shown in the following

equation:

SC FC = IE ratio x TN FC

where,

SC FC = Shelby County, Tennessee Industrial Natural Gas Consumption

IE ratio = Industrial Employment Ratio

TNFC = State of Tennessee Natural Gas Consumption

Thus, the Shelby County, Tennessee industrial natural gas consumption is determined as follows:

SCFC = ( 62,816 /568,398) x 106,000 E6 FT3

= 11, 714.50 E6 FT3

2 Point Source Subtraction

– The amount above represents all industrial usage and what is needed is the nonpoint portion of industrial usage. To

obtain this, local employment data is used to determine the Title V percent representation in the industrial

employment figure developed above as follows:

point portion of the industrial sector = 6,009/62,816 = 0.09566

The nonpoint percent representation is then determined as follows:

nonpoint portion of the industrial sector = 1

- 0.09566 = 0.9043 or 90.43 %

Subsequently, multiplying this percentage to the consumption amount determined above revises the industrial

natural gas consumption total as follows:

SCFC Rev = (0.9043) (11,714.50)

= 10,593.42 E6 gallons

Page | 283 . Emissions estimates are determined by multi plying the Shelby County, Tennessee industrial natural gas

consumption estimate by AP

- 42 emission factors, and then performing the conversion from pounds to tons. For

example, the emissions estimate for nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = SCFC x EF x (1ton/2000 lbs)

= 10,593.42 E6 FT3 x 100 lbs x 1 ton

E6 FT3 2000 lbs

= 529.671 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 529.671 tons/year

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 6days/ week

Substituting this information into the equation gives

= ( 529.671 tons/year)(1) / (6 days/week) (52 weeks)

= 1. 698 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Industrial Natural Gas Consumption Emissions Estimates

Pollutant SCFC

(E6 FT3) Emissions Factor

(lbs/E6 FT3) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 10,593.42 100 529.671 1.69766

CO 10,593.42 84 444.924 1.42604

VOC 10,593.42 5.5 29.132 0.09337

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 29References : 1.State Energy Consumption Estimates 1960

- 2012 (formerly the State E nergy Data Report) , United States

Department of Energy, Energy Information Administration, Office of Energy Markets and End Use, Washington,

DC . Internet Address:

3. County Business Patterns , US Census Bureau

. Internet Address: < http://www.census.gov/econ/cbp/download/12_data >

3. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

4 Procedures for the Preparation of Emission Inventories for Carbon Monoxide and Precursors of Ozone, Vol. I:

General Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triang le Park, NC, EPA

- 450/4

- 91

- 016

Page | 30Industrial Liquified Petroleum Gas Consumption (SCC 2102007000)

Source Category Description Overview:

Industrial Liquified Petroleum Gas Consumption refers to liquified petroleum gas that is burned/ consumed in an

industrial setting. The general approach used to calculate emissions for this source category is to obtain State of

Tennessee liquified petroleum gas consumption estimates from the Energy Information Administration (EIA) 1 and

allocate it to the Shelby Co unty, Tennessee

- level using the methods described below. To calculate the emissions for

oxides of nitrogen (NOx), carbon monoxide (CO), and volatile organic compounds (VOC) for a typical summer day,

the liquified petroleum gas consumption estimate at the S helby County, Tennessee

- level is multiplied by AP

- 42

emission factors

.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with employment data provides a representative method with

which to apportion industrial LPG us age to the county level.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of total statewide industrial liquified petroleum gas consumption. This information is obtained from

the.2012 State Energy Data System (SEDS), which is a comprehensive EIA database that tracks energy production,

consumption, prices, and expenditure by state. According to this reference source, industrial liquified petroleum gas

consumption in the state of Tennessee during calendar year 2012, is as follows:

435,000 bbls (unit conversion: 435,000 bbl x 42 gal = 18,270,000 gal)

1 bbl

Or

18,270,000 gal

2. An estimate of the total industrial employment associated with the North American Industrial Classification

System (NAICS) codes 21 thru 339999 at both the state of Tennessee level and the Shelby County, Tennessee level.

This information is obtained from t he 2012 County Business Patterns2, a publication of the U.S. Census Bureau and

is presented in the table below. Ultimately, this data is used to develop a ratio of industrial employment (IEratio)

which is used to allocate industrial liquified petroleum gas consumption from the state level to the county level.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Tennessee Shelby County, TN

21

---- Mining 3,368 0

22

---- Utilities 3,578 0

23

---- Construction 94,832 14,072

31

---- Manufacturing 218,489 25,030

321/// Wood Product Manufacturing 11,277 642

322/// Paper Manufacturing 10,844 1,101

323/// Printing and Related Support Activities 11,656 1,704

324/// Petroleum and Coal Products Manufacturing 1,051 501

325/// Chemical Manufacturing 27,296 3,131

326/// Plastics and Rubber Products Manufacturing 22,066 525

327/// Nonmetallic Mineral Product Manufacturing 10,696 519

331/// Primary Metal Manufacturing 9,872 0

332/// Fabricated Metal Product Manufacturing 34,461 3,035

333/// Machinery Manufacturing 22,613 2,289

334/// Computer and Electronic Product Manufacturing 7,294 1,502

335/// Electrical Equipment, Appliance, and Component Manufacturing 12,905 319

336/// Transportation Equipment Manufacturing 44,365 277

337/// Furniture and Related Product Manufacturing 9,533 218

339/// Miscellaneous Manufacturing 12,202 4,682

Totals 568,398 59,547

Source: County Business Patterns

Page | 31The table above incorrectly indicates zero employment for NAICS Code 22

- Utilities and NAICS Code 331///

- Primary Metal Manufacturing. According to local employment information, TVA Allen employs 164 people,

Memphis, Light, Gas, and Water employs 2,700 people, Nucor Steel employs 405 people. These values will be

added to the Shelby County, Tennessee employment total displayed above. Ultimately, this data is used to develop a

ratio of industrial employment (IE ratio ) which is used to allocate industrial distillate oil consumption from the state

level to the county level. Specifically, IE ratio is the ratio of industrial employees in Shelby County, Tennessee to the

industrial employees in Tennessee and, as the table indicates, it is equal to 62,816/568,398 or 0.1127.

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter 1:

External Combustion Source (U.S. Environmental Protection Agency, July 1998) 3 , are presented in the table below

Table : AP

- 42 Liquified Petroleum Gas Emissions Factors

Pollutant Emissions Factor (lbs/10 3 gal ) Reference

NOx 1 4 Table 1. 5

- 1 boilers, liquified petroleum gas fired

CO 7.95 Table 1. 5

- 1 boilers, liquified petroleum gas fired

VOC 1. 0 5 Table 1. 5

- 1 boilers liquified petroleum gas fired

Calculation Methodology:

Emissions from this category are determined in two steps.

1. The industrial liquified petroleum gas allocation for Shelby County, Tennessee is determined by multiplying the

2012 industrial liquified petroleum gas consumption for the State of Tennessee and the industrial employment ratio

developed from the industrial employment totals associated with the NAICS codes 21 thru 339999, as shown in the

following equation:

SCFC = IE ratio x TNFC

where,

SCFC = Shelby County, Tennessee Industrial Liquified Petroleum Gas Consumption

IE ratio = Industrial Employment Ratio

TNFC = State of Tennessee Liquified Petroleum Gas Consumption

Thus, the Shelby County, Tennessee industrial liquified gas consumpt ion is determined as follows:

SCFC = ( 62816 /568,39 8) x 18,270,000 gal

= 2,019,092.819 gal

2. No Point Source Subtraction

3 . Emissions estimates are determined by multiplying the Shelby County, Tennessee industrial liquified petroleum

gas consumption estimate by AP

- 42 emission factors, and then performing the conversion from pounds to tons. For

example, the emissions estimate for nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = SCFC x EF x (1ton/2000 lbs)

= 2,019,092.819 gal x 1 4 lbs x 1 ton

10 3 gal 2000 lbs

= 14.14 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 14.14 tons/year

SAF = Seasonal Adjustment Factor, 1

Page | 32WAF = Weekly Activity Factor, 6days/ week

Substituting this information into the equation gives

= ( 14.14 tons/year) (1) / (6 days/week) (52 weeks)

= 0.0 4530 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Industrial Liquified Petroleum Gas Consumption Emissions Estimates

Pollutant SCFC

(gal) Emissions Factor

(lbs/10 3 gal) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 2,019,092.819 14 14.134 0.04530

CO 2,019,092.819 7.95 8.026 0.02572

VOC 2,019,092.819 1.05 1.060 0.00340

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References : 1.State Energy Consumption Estimates 1960

- 2012 (formerly the State Energy Data Report) , United States Department of Energy, Energy Information Administration , Office of Energy Markets and End Use, Washington,

DC . Internet Address:

4. County Business Patterns , US Census Bureau

. Internet Address: < http://www.census.gov/econ/cbp/download/12_data >

3. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

4 Procedures for the Preparation of Emission Inventories for Carbon Monoxide and Precursors of Ozone, Vol. I:

General Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 33Commercial/Institutional Distillate Oil Consumption (SCC 2103004000)

Source Category Description Overview:

Commerc ial /Institutional Distillate Oil Consumption refers to distillate oil that is burned/ consumed in a commerc ial

setting. The general approach used to calculate emissions for this source category is to obtain State of Tennessee

commercial distillate oil consumption estimates from the Energy Information Administration (EIA) 1 and allocate it

to the Shelby County, Tennessee

- level using the methods described below. To calculate the emissions for oxides of

nitrogen (NOx), carbon monoxide (CO), and volatile organic compounds (VOC) for a typical summer day, the

commercial distillate oil consumption estimate at the Shelby County, Tennessee

- level is multiplied by AP

- 42

emission factors.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with e mployment data provides a representative method with

which to apportion commercial distillate oil usage to the county level

.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of total statewide commercial distillate oil consumption. This information is obtained from the.2012

State Energy Data System (SEDS), which is a comprehensive EIA database that tracks energy production,

consumption, prices, and expenditure by stat e. According to this reference source, commercial distillate oil

consumption in the state of Tennessee during calendar year 2012, is as follows:

1,015,000 bbl (unit conversion: 1,015,000 bbl x 42 gal = 42,630,000 gal)

1 bbl

Or

42,630,000 gal

2. An estimate of the total industrial employment associated with the North American Industrial Classification

System (NAICS) codes 1153, 2123, 42, 44, 451

- 454, 48, 492, 51

- 56, 61, 62, 71, 72, 81 at both the state of

Tennessee level and the Shelby County, Ten nessee level. This information is obtained from the 2012 County

Business Patterns2, a publication of the U.S. Census Bureau and is presented in the table below. Ultimately, this

data is used to develop a ratio of commercial employment (CEratio) which is us ed to allocate commercial distillate

oil consumption from the state level to the county.

Table: 2012 Commerci al Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Tennessee Shelby County, TN

1153// Support Activities for Forestry 0 0

2123// Water, Sewage and Other Systems 667 0

42

---- Wholesale Trade 112,332 29,272

44

---- Retail Trade 308,272 46,987

451/// Sporting Goods, Hobby, Book, and Music Stores 9,660 1,598

452/// General Merchandise Stores 68,441 8,667

453/// Miscellaneous Store Retailers 14,284 2,468

454/// Nonstore Retailers 14,246 0

48

---- Transportation and Warehousing 129,084 49,419

492/// Couriers and Messengers 0 0

51

---- Information 47,561 5,957

52

---- Finance and Insurance 109,385 17,671

53

---- Real Estate and Rental and Leasing 30,871 6,855

54

---- Professional, Scientific, and Technical Services 99,426 15,037

55

---- Management of Companies and Enterprises 73,345 25,654

56

---- Administrative and Support and Waste Management and Remediation 212,776 46,075

61

---- Educational Services 55,830 10,122

62

---- Health Care and Social Assistance 385,569 67,038

71

---- Arts, Entertainment, and Recreation 31,567 4,989

72

---- Accommodation and Food Services 240,698 36,954

81

---- Other Services (except Public Administration) 107,842 20,247

Totals 2,051,856 395,010

Source: County Business Patterns

Page | 34Specifically, C Eratio is the ratio of commercial employees in Shelby County, Tennessee to the commercial

employees in Tennessee and, as the table indicates, it is equal to 395,010 / 2,051,856 or 0.1 925

.

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter 1:

External Combustion Source (U.S. Environmental Prot ection Agency, July 1998) 3 , are presented in the table below

Table : AP

- 42 Distillate Fuel Oil Emissions Factors

Pollutant Emissions Factor (lbs/10 3 gal ) Reference

NOx 20 Table 1. 3

- 1 boilers<100 million btu/hr, distillate oil fired

CO 5 Table 1. 3

- 1 boilers<100 million btu/hr, distillate oil fired

VOC 0.34 Table 1. 3

- 3 commerc ial boilers distillate oil fired

Calculation Methodology:

Emissions from this category are determined in two steps.

1. The commercial distillate oil allocation for Shelby County, Tennessee is determined by multiplying the 2012

commercial distillate oil consumption for the State of Tennessee and the commercial employment ratio developed

from the commercial employment totals associated with the NAICS cod es 1153, 2123, 42, 44, 451

- 454, 48, 492, 51

-

56, 61, 62, 71, 72, 81 , as shown in the following equation:

SCFC = CE ratio x TNFC

where,

SCFC = Shelby County, Tennessee Commercial Distillate Oil Consumption

C E ratio = Commerc ial Employment Ratio

TNFC = State of Tennessee Distillate Oil Consumption

Thus, the Shelby County, Tennessee commercial distillate oil consump tion is determined as follows:

SCFC = ( 395,010 / 2,051,856 ) x 42,630,000 gal

= 8

, 20 6,85 0

. 9 2 gal

2. No Point Source Subtraction

3 Emissions estimates are determined by multiplying the Shelby County, Tennessee commercial distillate oil

consumption estimate by AP

- 42 emission factors, and then performing the conversion from pounds to tons. For

example, the emissions estimate for nitr ogen dioxide, NOx, is determined as follows:

Emissions of NOx = SCFC x EF x (1ton/2000 lbs)

= 8,206,850.92 gal x 2 0 lbs x 1 ton

10 3 gal 2000 lbs

= 82.069 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 82.069 tons/year

SAF = Seasonal Adjustment Factor, 0.6

WAF = Weekly Activity Factor, 6days/ week

Page | 35Substituting this information into the equation gives

= (82.069 tons/year) (0.6)/ (6 days/week) (52 weeks)

= 0.15782 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Commercial Distillate Oil Consumption Emissions Estimates

Pollutant SCFC

(gal) Emissions Factor

(lbs/10 3 gal) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 8,206,850.90 20 82.069 0.15782

CO 8,206,850.90 5 20.517 0.03946

VOC 8,206,850.90 0.34 1.395 0.00268

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References : 1.State Energy Consumption Estimates 1960

- 2012 (formerly the State Energy Data Report) , United States Department of Energy, Energy Information Administration, Office of Energy Markets and End Use, Washington,

DC . Internet Address:

5. County Business Patterns , US Census Bureau

. Internet Address: <http://www.census.gov/econ/cbp/download/12_data>

3. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

4 Procedures for the Preparation of Emission Inventories for Carbon Monoxideand Precursors of Ozone, Vol. I:

General Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 36Commercial/Institutional Natural Gas Consumption (SCC 2103006000)

Source Category Description Overview:

Commercial Natural Gas Consumption refers to natural gas that is burned/ consumed in a commercial setting. The

general approach used to calculate emissions for this source category is to obtain the commercial and the other

natural gas consumption estimates from the local utility company, Memphis, Light, Gas and Water (MLGW); this

information is provided in an annual publication titled “2012 MLGW Facts and Figures” 1 . Since MLGW is the

main supplier of natural gas in Shelby County, this estimate represents countywide natural gas consumption. To

calculate the emissions for oxides of nitrogen (NOx), carbon monoxide (CO), and volatile organic compounds

(VOC) for a typical summer day, the residential natu ral gas consumption estimate for Shelby County, Tennessee is

multiplied by AP

- 42 emission factors.

Assumptions :

Data provided by the local natural gas supplier is representative of the operations conducted by the local commercial

establishments.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of total countywide commercial and the other natural gas consumption. This information is obtained

from the MLGW publication “Facts and Figures, For Year Ending December 3 1 , 2012”. According to this reference

source, commercial and the other natural gas consumption in the Shelby County, Tennes see during calendar year

2012, is as follows:

Commercial

– 8,910,754 FT3

Other

- 1,670,740 FT3

Total 10,581,494 FT3

2 Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter 1:

External Combustion Source (U.S. Environmental Protection Agency, July 1998) 3 , are presented in the table below

Table : AP

- 42 Natural Gas Emissions Factors

Pollutant Emissions Factor (lbs/E6 FT3) Reference

NOx 100 Table 1. 4

- 1 boilers<100 million btu/hr, natural gas fired

CO 84 Table 1. 4

- 1 boilers<100 million btu/hr, natural gas fired

VOC 5.5 Table 1. 4

- 2 commerc ial boilers natural gas fired

Calculation Methodology:

Emissions estimates of NOx, CO, and VOC are determined by multiplying the Shelby County, Tennessee

residential natural gas consumption estimate, which is represented in the equation below as SCFC, by AP

- 42

emission factors, and then performing the pound to ton unit conversion. For example, the emissions estimate for

nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = SCFC x EF x (1ton/2000 lbs)

= 10,581,494 FT3 x 94 lbs x 1 ton

10 6 FT3 2000 lbs

= 529.05 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 529.05 tons/year

SAF = Seasonal Adjustment Factor, 0.6

Page | 37WAF = Weekly Activity Factor, 6days/ week

Substituting this information into the equation gives

= ( 529.05 tons/year) (0.6)/ (6 days/week) (52 weeks)

= 1.0174 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the r esults are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Commercial Natural Gas Consumption Emissions Estimates

Pollutant SCFC

(E6 FT3) Emissions Factor

(lbs/E6 FT3) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 10,581,494 100 529.050 1.01740

CO 10,581,494 84 444.402 0.85462

VOC 10,581,494 5.5 29.098 0.05596

Finally, there is no point source subtraction.

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References : 1.State Energy Consumption Estimates 1960

- 2012 (formerly the State Energy Data Report) , United States

Department of Energy, Energy Information Administration, Office of Energy Markets and End Use, Washington,

DC . Internet Address:

6. County Business Patterns , US Census Bureau

. Internet Address: < http://www.census.gov/econ/cbp/download/12_data >

3. Compilation of Air Pollutant Emission Factors , AP

- 42 Fifth Edition , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

4 Procedures for the Preparation of Emission Inventories for Carbon Monoxideand Precursors of Ozone, Vol. I:

General Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 38Commercial/Institutional Liquified Petroleum Gas Consumption (SCC 2103004000)

Source Category Description Overview:

Commercial/Institutional Liquified Petroleum Gas Consumption refers to liquified petroleum gas that is burned/

consumed in a commercial setting. The general approach used to calculate emissions for this source category is to

obtain State of Tennessee liquified petroleum gas consumption estimates from the Energy Information

Administration (EIA) 1 and allocate it to the Shelby County, Tennessee

- level using the m ethods described below. To

calculate the emissions for oxides of nitrogen (NOx), carbon monoxide (CO), and volatile organic compounds

(VOC) for a typical summer day, the commercial liquified petroleum gas consumption estimate at the Shelby

County, Tennesse e

- level is multiplied by AP

- 42 emission factors.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with employment data provides a representative method with

which to apportion commercial LPG usage to the county level.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of total statewide commercial liquified petroleum gas consumption. This information is obtained

from the.2012 State Energy Data System (SEDS), which is a comprehensive EIA database that tracks ener gy

production, consumption, prices, and expenditure by state. According to this reference source, commercial liquified

petroleum gas consumption in the state of Tennessee during calendar year 2012, is as follows:

407 ,000 bbl (unit conversion: 407,000 bbl bbl x 42 gal = 17,094,000 gal)

1 bbl

Or

17,094,000 gal

2. An estimate of the total industrial employment associated with the North American Industrial Classification

System (NAICS) codes 1153, 2123, 42, 44, 451

- 454, 48, 492, 51

- 56, 61, 62, 71, 72, 81 at both the state of

Tennessee level and the Shelby County, Tennessee level. This information is obtained from the 2012 County

Business Patterns 2 , a publication of the U.S. Census Bureau and is presented in the table below. Ultimately, this data

is used to d evelop a ratio of commercial employment (CEratio) which is used to allocate commercial liquified

petroleum gas oil consumption from the state level to the county.

Table: 2012 Commercial Employment Data for the State of Tennessee and Shelby, County, Tenne ssee

NAICS NAICS Description Tennessee Shelby County, TN

1153// Support Activities for Forestry 0 0

2123// Water, Sewage and Other Systems 667 0

42

---- Wholesale Trade 112,332 29,272

44

---- Retail Trade 308,272 46,987

451/// Sporting Goods, Hobby, Book, and Music Stores 9,660 1,598

452/// General Merchandise Stores 68,441 8,667

453/// Miscellaneous Store Retailers 14,284 2,468

454/// Non

- store Retailers 14,246 0

48

---- Transportation and Warehousing 129,084 49,419

492/// Couriers and Messengers 0 0

51

---- Information 47,561 5,957

52

---- Finance and Insurance 109,385 17,671

53

---- Real Estate and Rental and Leasing 30,871 6,855

54

---- Professional, Scientific, and Technical Services 99,426 15,037

55

---- Management of Companies and Enterprises 73,345 25,654

56

---- Administrative and Support and Waste Management and 212,776 46,075

61

---- Educational Services 55,830 10,122

62

---- Health Care and Social Assistance 385,569 67,038

71

---- Arts, Entertainment, and Recreation 31,567 4,989

72

---- Accommodation and Food Services 240,698 36,954

81

---- Other Services (except Public Administration) 107,842 20,247

Totals 2,051,856 395,010

Source: County Business Patterns

Page | 39Specifically, CEratio is the ratio of commercial employees in Shelby County, Tennessee to the commercial

employees in Tennessee and, as the table indicates, it is equal to 395,010/2,051,856 or 0.1925.

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter 1:

External Combustion Source (U.S. Environmental Protection Agency, July 1998) 3 , are presented in the table below

Table : AP

- 42 Liquified Petroleum Gas Emissions Factors

Pollutant Emissions Factor (lbs/10 3 gal) Reference

NOx 14 Table 1.5

- 1 boilers, liquified petroleum gas fired

CO 7.95 Table 1.5

- 1 boilers, liquified petroleum gas fired

VOC 1.05 Table 1.5

- 1 boilers liquified petroleum gas fired

Calculation Methodology:

Emissions from this category are determined in two steps.

1. The commercial liquified petroleum gas allocation for Shelby County, Tennessee is determined by multiplying

the 2012 commercial liquified petroleum gas consumption for the State of Tennessee and the commercial

employment ratio developed from the commercial employment totals associated with the NAICS codes 21 thru

339999, as shown in the following equation:

SCFC = CE ratio x TNFC

where,

SCFC = Shelby County, Tennessee Commercial Liquified Petroleum Gas Consumption

CE ratio = Commercial Employment Ratio

TNFC = State of Tennessee Liquified Petroleum Gas Consumption

Thus, the Shelby County, Tennessee commercial liquified petroleum gas consumption is determined as follows:

SCFC = ( 395,010 / 2,051,856 ) x 17,094,000 gal

= 3,290,825.94 gal

2. No Point Source Subtraction

3 . Emissions estimates are determined by multiplying the Shelby County, Tennessee commercial liquified

petroleum gas consumption estimate by AP

- 42 emission factors, and then performing the conversion fro m pounds to

tons. For example, the emissions estimate for nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = SCFC x EF x (1ton/2000 lbs)

= 3,290,825.94 gal x 14 lbs x 1 ton

10 3 gal 2000 lbs

= 23.04 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 23.04 tons/year

SAF = Seasonal Adjustment Factor, 0.6

WAF = Weekly Activity Factor, 6days/ week

Substituting this information into the equation gives

= (23.04 tons/year) (0.6)/ (6 days/week) (52 weeks)

= 0.04430 tons/day

Page | 40Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Commercial L iquified P etroleum G as Consumption Emissions Estimates

Pollutant SCFC

(gal) Emissions Factor

(lbs/10 3 gal) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 3,290,825.94 14 23.04 0.04430

CO 3,290,825.94 7.95 13.08 0.02516

VOC 3,290,825.94 1.05 1.73 0.00332

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References : 1.State Energy Consumption Estimates 1960

- 2012 (formerly the State Energy Data Report) , United States

Department of Energy, Energy Information Administration, Office of Energy Markets and End Use, Washington,

DC . Internet Address:

2 County Business Patterns , US Census Bureau

. Internet Address: < http://www.census.gov/econ/cbp/download/12_data >

3. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

4 Procedures for the Preparation of Emission Inventories for Carbon Monoxideand Precursors of Ozone, Vol. I:

General Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 41Commercial/Institutional Kerosene Consumption (SCC 2103011000)

Source Category Description Overview:

Commercial/Institutional Kerosene Consumption refers to kerosene t hat is burned/ consumed in a commercial

setting. The general approach used to calculate emissions for this source category is to obtain State of Tennessee

commercial kerosene consumption estimates from the Energy Information Administration (EIA) 1 and allocate it to

the Shelby County, Tennessee

- level using the metho ds described below. To calculate the emissions for oxides of

nitrogen (NOx), carbon monoxide (CO), and volatile organic compounds (VOC) for a typical summer day, the

commercial kerosene consumption estimate at the Shelby County, Tennessee

- level is multipli ed by AP

- 42 emission

factors.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with employment data provides a representative met hod with

which to apportion commercial kerosene usage to the county level.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of total statewide commercial kerosene consumption. This information is obtained from the 2012

State Energy Data System (SEDS), which is a comprehensive EIA database that tracks energy production,

consumptio n, prices, and expenditure by state. According to this reference source, commercial kerosene

consumption in the state of Tennessee during calendar year 2012, is as follows:

3, 000 bbl (unit conversion: 3 ,000 bbl x 42 gal = 126 ,000 gal)

1 bbl

Or

126 ,000 gal

2. An estimate of the total industrial employment associated with the North American Industrial Classification

System (NAICS) codes 1153, 2123, 42, 44, 451

- 454, 48, 492, 51

- 56, 61, 62, 71, 72, 81 at both the state of

Tennessee level and the Shelby C ounty, Tennessee level. This information is obtained from the 2012 County

Business Patterns2, a publication of the U.S. Census Bureau and is presented in the table below. Ultimately, this

data is used to develop a ratio of commercial employment (CEratio) w hich is used to allocate commercial kerosene

consumption from the state level to the county.

Table: 2012 Commercial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Tennessee Shelby County, TN

1153// Support Activities for Forestry 0 0

2123// Water, Sewage and Other Systems 667 0

42

---- Wholesale Trade 112,332 29,272

44

---- Retail Trade 308,272 46,987

451/// Sporting Goods, Hobby, Book, and Music Stores 9,660 1,598

452/// General Merchandise Stores 68,441 8,667

453/// Miscellaneous Store Retailers 14,284 2,468

454/// Nonstore Retailers 14,246 0

48

---- Transportation and Warehousing 129,084 49,419

492/// Couriers and Messengers 0 0

51

---- Information 47,561 5,957

52

---- Finance and Insurance 109,385 17,671

53

---- Real Estate and Rental and Leasing 30,871 6,855

54

---- Professional, Scientific, and Technical Services 99,426 15,037

55

---- Management of Companies and Enterprises 73,345 25,654

56

---- Administrative and Support and Waste Management and 212,776 46,075

61

---- Educational Services 55,830 10,122

62

---- Health Care and Social Assistance 385,569 67,038

71

---- Arts, Entertainment, and Recreation 31,567 4,989

72

---- Accommodation and Food Services 240,698 36,954

Page | 42Table: 2012 Commercial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Tennessee Shelby County, TN

81

---- Other Services (except Public Administration) 107,842 20,247

Totals 2,051,856 395,010

Source: County Business Patterns Specifically, CEratio is the ratio of industrial employees in Shelby County, Tennessee to the industrial employees in

Tennessee and, as the table indicates, it is equal to 395,010/2,051,856 or 0.1925.

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter 1:

External Combustion Source (U.S. Environmental Prote ction Agency, July 1998) 3 , are presented in the table below

Table : AP

- 42 Kerosene Fuel Oil Emissions Factors

Pollutant Emissions Factor (lbs/10 3 gal) * Reference

NOx 20 x (135,000/ 140,000) = 19.8 Table 1.3

- 1 boilers<100 million btu/hr, kerosene f ired

CO 5 x (135,000/ 140,000) = 4.8 Table 1.3

- 1 boilers<100 million btu/hr, kerosene fired

VOC 0.34 x (135,000/ 140,000) = 033 Table 1.3

- 3 commercial boilers kerosene fired

*Note: 135,000/140,000 is the ratio of the heat content of kerosene to distillate oil

Calculation Methodology:

Emissions from this category are determined in two steps.

1. The commercial kerosene allocation for Shelby County, Tennessee is determined by multiplying the 2012

commercial kerosene consumption for the State of Tennessee and the commercial employment ratio developed from

the commercial employment totals associated with the NAICS codes 1153, 2123, 42, 44, 451

- 454, 48, 492, 51

- 56,

61, 62, 71, 72, 81, as shown in the following equation:

SC FC = CE ratio x TN FC

where,

SC FC = Shelby County, Tennessee Commercial Kerosene Consumption

CE ratio = Commercial Employment Ratio

TN FC = State of Tennessee Kerosene Consumption

Thus, the Shelby County, Tennessee commercial kerosene consumption is determined as follows:

SC FC = ( 395,010 / 2,051,856 ) x 126,000 gal

= 24,256.70 gal

2 No Point Source Subtraction

3 . Emissions estimates are determined by multiplying the Shelby County, Tennessee commercial kerosene

consumption estimate by AP

- 42 emission factors, and then performing the conversion from pounds to tons. For

example, the emissions estimate for nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = SC FC x EF x (1ton/2000 lbs)

= 24,256. 70 gal x 19.3 lbs x 1 ton

10 3 gal 2000 lbs

= 0.234 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 0. 234 tons/year

SAF = Seasonal Adjustment Factor, 0.6

Page | 43WAF = Weekly Activity Factor, 6days/ week

Substituting this information into the equation gives

= (0. 234 tons/year) (0.6)/ (6 days/week) (52 weeks)

= 0.00107 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Commercial Kerosene Consumption Emissions Estimates

Pollutant SCFC

(gal) Emissions Factor

(lbs/10 3 gal) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 24,256.70 19.3 0.234 0.00045

CO 24,256.70 4.8 0.0582 0.00011

VOC 24,256.70 0.33 0.004 0.00001

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future y ears

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References :

1.State Energy Consumption Estimates 1960

- 2012 (formerly the State Energy Data Report) , United States

Department of Energy, Energy Information Administration, Office of Energy Markets and End Use, Washington,

DC . Internet Address:

2. County Business Patterns

, US Census Bureau

. Internet Address: < http://www.census.gov/econ/cbp/download/12_data >

3. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, R esearch Triangle Park, NC

Page | 444 Procedures for the Preparation of Emission Inventories for Carbon Monoxideand Precursors of Ozone, Vol. I:

General Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 45Resident ial Distillate Oil Consumption 

### ( SCC 2104006000)

Source Category Description Overview:

Residenti al Distillate Oil Consumption refers to distillate oil that is burned/ consumed in a resident ial setting. The

general approach used to calculate emissions for this source category is to obtain State of Tennessee resident ial

distillate oil consumption estimates from the Energy Information Administration (EIA) 1 and allocate it to the

Shelby County, Tennessee

- level using the methods described below. To calculate the emissions for oxides of

nitrogen (NOx), carbon monoxide (CO), and volati le organic compounds (VOC) for a typical summer day, the

residenti al distillate oil consumption estimate at the Shelby County, Tennessee

- level is multiplied by AP

- 42

emission factors.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with housing data provides a representative method with which to

apportion local residential di stillate oil usage to the county level.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of total statewide residential distillate oil consumption. This information is obtained from the.2012

State Energy Data System (SEDS) 1 , which is a comprehensive EIA database that tracks energy production,

consumption, prices, and expenditure by st ate. According to this reference source, residential distillate oil

consumption in the state of Tennessee during calendar year 2012, is as follows:

41,000 bbl (unit conversion: 41, 000 bbl x 42 gal = 1,722 ,000 gal)

1 bbl

Or

1,722 ,000 gal

2. An estimate of the total number of housing units in the State of Tennessee and in Shelby County, Tennessee

using distillate oi l as a heating fuel. This information is provided in the 2012 American Fact Finder 2 , a publication

of the U.S. Census Bureau 2 and is presented in the table below. Ultimately, this data is used to develop a ratio of

residential housing units (RHU ratio ) using distillate oil and is then is used to allocate residential distillate oil

consumption from the state level to the county.

Table: 2012 Number of Households in Tennessee and Shelby, County, Tennessee using Distillate Oil

House Heating Fuel Tennessee Shelby County, TN

Distillate Oil 14,433 317

Source: American Fact Finder, http://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk

Specifically, RHU ratio is the ratio of residential housing units in Shelby County, Tennessee to the residential housing

units in Tennessee and, as the table indicates, it is equal to 317/14,433 or 0.02196.

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter 1:

External Combustion Source (U.S. Environmental Protection Agency, July 1998) 3 , are presented in the table below

Table : AP

- 42 Distillate Fuel Oil Emissions Factors

Pollutant Emissions Factor (lbs/10 3 gal) Reference

NOx 1 8 Table 1.3

- 1 boilers<100 million btu/hr, distillate oil fired

CO 5 Table 1.3

- 1 boilers<100 million btu/hr, distillate oil fired

VOC 0.7 Table 1.3

- 3 resident ial furnace distillate oil fired

Page | 46Calculation Methodology:

Emissions from this category are determined in two steps.

1. The residential distillate oil allocation for Shelby County, Tennessee is determined by multiplying the 2012

residential distillate oil consumption for the State of Tennessee and the Resident ial Housing Units Ratio , as shown

in the following equation:

SC FC = RHU ratio x TN FC

where,

SC FC = Shelby County, Tennessee Residentia l Distillate Oil Consumption

RHU ratio = Residential Housing Units Ratio

TN FC = State of Tennessee Residential Distillate Oil Consumption

Thus, the Shelby County, Tennessee residential distillate oil allocation is determined as follows:

SC FC = 0.0 2196 x 1,722 ,000 gal

= 37,821.24 gal

2. Emissions estimates are determined by multiplying the Shelby County, Tennessee residential distillate oil

consumption estimate by AP

- 42 emission factors, and then performing the conversion from pounds to tons. For

example, the emissions estimate for nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = SC FC x EF x (1to n/2000 lbs)

= 37,821.24 gal x 18 lbs x 1 ton

10 3 gal 2000 lbs

= 0. 340 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 0.340 tons/year

SAF = Seasonal Adjustment Factor, 0.3

WAF = Weekly Activity Factor, 7days/ week

Substituting this information into the equation gives

= (0.340 tons/year)(0.3) / (7 days/week) (52 weeks)

= 0.000281 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Residential Distillate Oil Consumption Emissions Estimates

Pollutant SCFC

(10 3 gal) Emissions Factor

(lbs/10 3 gal) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 37,821.24 18 0.340 0.000281

CO 37,821.24 5 0.095 0.000078

VOC 37,821.24 0.7 0.0130 0.000011

Page | 47Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References : 1.State Energy Consumption Estimates 1960

- 2012 (formerly the State Energy Data Report) , United States Department of

Energy, Energy Information Administration, Office of Energy Markets and End Use, Washington, DC

2 American Fact Finder , US Census Bureau

. Internet Address: < http://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk >

3. Compilation of Air Pollutant Emis sion Factors, AP

- 42 Fifth Edition , United States Environmental Protection Agency, Office

of Air Quality Planning and Standards, Research Triangle Park, NC

4 Procedures for the Preparation of Emission Inventories for Carbon Monoxideand Precursors of Ozone, Vol. I: General

Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air Quality Planning and

Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 48Residential Natural Gas Consumption 

### ( SCC 2104006000)

Source Category Description Overview:

Residential Natural Gas Consumption refers to natural gas that is burned/ consumed in a residential setting. The

general approach used to calculate emissions for this source category is to obtain residential natural gas consumption

estimate s from the local utility company, Memphis, Light, Gas and Water (MLGW) ; this information is provided in

an annual publication titled “ 20 12 MLGW Facts and Figures” 1

. Since MLGW is the main supplier of natural gas in

Shelby County, this estimate represents countywide natural gas consumption. To calculate the emissions for oxides

of nitrogen (NOx), carbon monoxide (CO), and volatile organic compounds (VOC) for a typical summer day, the

residential natural gas consumption estimate for Shelby County, Tennessee is multiplied by AP

- 42 emission fact ors.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with housing data provides a representative method with which to

apportion local residential natural gas usage to the county level.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

2. An estimate of total county wide residential natural gas consumption. This information is obtained from the

MLGW publication “Facts and Figures, For Year Ending December 3

, 2012”

. According to this reference source,

residential natural gas consumption in the Shelby County, Tennessee during calendar year 2012, is as follows:

15,251,028,000 FT3

Or

15,251 E6 FT3

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter 1:

External Combustion Source (U.S. Environmental Protection Agency, July 1998) 2 , are presented in the table below

Table : AP

- 42 Natural Gas Emissions Factors

Pollutant Emissions Factor (lbs/ E6 Ft3 ) Reference

NOx 94 Table 1. 4

- 1 , residential furnace natural gas fired

CO 40 Table 1. 4

- 1 residential furnace natural gas fired

VOC 5.5 Table 1. 4

- 2 residential furnace natural gas fired

Calculation Methodology:

Emissions estimates of NOx, CO, and VOC are determined by multiplying the Shelby County, Tennessee

residential natural gas consumption estimate , which is represented in the equation below as SCFC, by AP

- 42

emission factors, and then performing the pound to ton unit conversion. For example, the emissions estimate for

nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = SC FC x EF x (1ton/2000 lbs)

= 15,251,028,000 FT3 x 94 lbs x 1 ton

10 6 FT3 2000 lbs

= 716.7983 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 716.7983tons/year

SAF = Seasonal Adjustment Factor, 0.3

Page | 49WAF = Weekly Activity Factor, 7days/ week

Substituting this information into the equation gives

= (716.7983tons/year) (0.3) / (7 days/week) (52 weeks)

= 0.5908 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Residential Natural Gas Consumption Emissions Estimates

Pollutant SCFC

(E6 FT3) Emissions Factor

(lbs/E6 FT3) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 15,251 94 716.7983 0.5908

CO 15,251 40 305.0206 0.2514

VOC 15,251 5.5 41.94 0.0346

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

F uture year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future ye ars

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References :

1

. Facts and Figures, For Year Ending December 3, 2012

, Memphis Light, Gas, And Water, Memphis, Tennessee

. Internet Address:http:/www. mlgw.com/ images/content/files/pdf/FactsFigures5

- 2013.pdf

2

. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

3 Procedures for the Preparation of Emission Inventories for Carbon Monoxideand Precursors of Ozone, Vol. I:

General Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 50Residential Liquified Petroleum Gas Consumption (SCC 2104007000)

Source Category Description Overview:

Residential Liquified Petroleum Gas Consumption refers to liquified petroleum gas that is burned/ consumed in a

residential setting. The general approach to calculating emissions for this SCC is to take State of Tennessee

residential liquified pe troleum gas consumption estimates from the Energy Information Administration (EIA) 1 and

allocate it to the Shelby County, Tennessee

- level using the methods described below. To calculate the emissions for

oxides of nitrogen (NOx), carbon monoxide (CO), and volatile organic compounds (VOC) for a typical summer day,

the residential liquified petroleum gas consumption estimate at the Shelby County, Tennessee

- level is multiplied by

AP

- 42 emission factors.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with housing data provides a representative method with which to

apportion local residential liquid petroleum gas usage to the c ounty level.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of total statewide residential liquified petroleum gas consumption. This information is obtained

from the.2012 State Energy Data System (SEDS) 1 , which is a comprehensive EIA database that tracks energy

production, consumption, prices, and expenditure by state. According to this reference source, residential liquified

petroleum gas consumption in the state of Tennessee during calendar year 2012, i s as follows:

1,171,000 bbl (unit conversion: 1,171,000 bbl x 42 gal = 49,182 ,000 gal)

1 bbl

Or

49,182 ,000 gal

2. An estimate of the total number of housing units in the State of Tennessee and in Shelby County, Tennessee

using distillate oil as a heating fuel. This information is provided in the 2012 American Fact Finder2, a publication

of the U.S. Census Bureau2 and is presented in the table below. Ultimately, this data is used to develop a ratio of

residential housing units (RHU ratio ) using liquified petroleum gas and is then used to allocate liquified petroleum gas

consumption from the state level to the county.

Table: 2012 Number of Households in Tennessee and Shelby, County, Tennessee using LPG

House Heating Fuel Tennessee Shelby County, TN

Liquified Petroleum Gas 116,956 2,997

Source: American Fact Finder , http://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk

Specifically, RHU ratio is the ratio of residential housing units in Shelby County, Tennessee to the residential housing

units in Tennessee and, as the table indicates, it is equal to 2,997 / 116,956 or 0.0 2563

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter 1:

External Combustion Source (U.S. Environmental Protection Agency, July 1998) 3 , are presented in the table below

Table : AP

- 42 Liquified Petroleum Gas Emissions Factors

Pollutant Emissions Factor (lbs/10 3 gal) Reference

NOx (15+13)/2 = 1 4 Table 1. 5

- 1 , liquified petroleum gas fired

CO (8.4+7.5)/2 = 7.95 Table 1. 5

- 1, liquified petroleum gas fired

VOC ( (1.1

- 0.2 0 ) + (1.0

- 0.20))/2 = 0.85 Table 1. 5

- 1, liquified petroleum gas fired

Page | 51Calculation Methodology:

Emissions from this category are determined in two steps.

1. The residential liquified petroleum gas allocation for Shelby County, Tennessee is determined by multiplying

the 2012 residential liquified petroleum gas consumption for the State of Tennesse e and the Residential Housing

Units Ratio , as shown in the following equation:

SCFC = RHU ratio x TNFC

where,

SCFC = Shelby County, Tennessee Residential Liquified Petroleum Gas Consumption

RHU ratio = Residential Housing Units Ratio

TNFC = State of Tennessee Residential Liquified Petroleum Gas Consumption

Thus, the Shelby County, Tennessee residential liquified petroleum gas allocation is determined as follows:

SCFC = 0.0256 3 x 49

, 182 ,000 gal

= 1

, 260 ,534.66 gal

2. Emissions estimates are determined by multiplying the Shelby County, Tennessee residential liquified petroleum

gas consumption estimate by AP

- 42 emission factors, and then performing the conversion from pounds to tons. For

example, the emissions estim ate for nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = SCFC x EF x (1ton/2000 lbs)

= 1,260, 289

. 80 gal x 1 4 lbs x 1 ton

10 3 gal 2000 lbs

= 8.822 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 8.822 tons/year

SAF = Seasonal Adjustment Factor, 0.3

WAF = Weekly Activity Factor, 7days/ week

Substituting this information into the equation gives

= (8.822 tons/year ) (0.3) / (7 days/week) (52 weeks)

= 0.0139 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Residential liquified petroleum gas Consumption Emissions Estimates

Pollutant SCFC

(10 3 gal) Emissions Factor

(lbs/10 3 gal) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 1260.289 14 8.8220 0.007271

CO 1260.289 7.95 5.0097 0.004129

VOC 1260.289 0.85 0.5356 0.000441

Page | 52Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References : 1.State Energy Consumption Estimates 1960

- 2012 (formerly the State Energy Data Report) , United States Department of Energy, Energy Information Administration, Office of Energy Markets and End Use, Washington,

DC . :

2. American Fact Finder , US Census Bureau

. Internet Address: < http://www.census.gov/econ/cbp/download/12_data >

3. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

4 Procedures for the Preparation of Emission Inventories for Carbon Monoxideand Precursors of Ozone, Vol. I:

General Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 53Residential Kerosene Consumption (SCC 2104011000)

Source Category Description Overview:

Residential Kerosene Consumption refers to k erosene that is burned/ consumed in a residential setting. The general

approach to calculating emissions for this SCC is to take State of Tennessee residential k erosene consumption

estimates from the Energy Information Administration (EIA) 1 and allocate it to the Shelby County, Tennessee

- level

using the methods described below. To calculate the emissions for oxides of nitrogen (NOx), carbon monoxide

(CO), and volatile organic compo unds (VOC) for a typical summer day, the residential k erosene consumption

estimate at the Shelby County, Tennessee

- level is multiplied by AP

- 42 emission factors.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with housing data provides a representative method with which to

apportion local residential ke rosene usage to the county level.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of total statewide residential k erosene consumption. This information obtained is from the.2012

State Energy Data System (SEDS) 1 , which is a comprehensive EIA database that tracks energy production,

consumption, prices, and expenditure by state. According to this reference source, residential k erosene consumption

in the state of Tennessee during calendar year 2012, is as follows:

17,000 bbl (unit conversion: 17,000 bbl x 42 gal = 714,000 gal )

1 bbl

Or

714,000 gal

2. An estimate of the total number of housing units in the State of Tennessee and in Shelby County, Tennessee

using distillate oil as a heating fuel. This information is provided in the 2012 American Fact Finder2, a publication

of the U.S. Census Bureau2 and is presented in the table below. Ul timately, this data is used to develop a ratio of

residential housing units (RHU ratio ) using kerosene and is then used to allocate kerosene consumption from the state

level to the county.

Table: 2012 Number of Households in Tennessee and Shelby, County, Tennessee using Kerosene

House Heating Fuel Tennessee Shelby County, TN

Kerosene 14,433 317

Source: American Fact Finder , http://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk

Specifically, RHUratio is the ratio of residential housing units in Shelby County, Tennessee to the residential

housing units in Tennessee and, as the table indicates, it is equal to 317 / 14,433 or 0.02 196

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter 1:

External Combustion Source (U.S. Environmental Protection Agency, July 1998) 3 , are presented in the table below

Table : AP

- 42 Kerosene Emissions Factors

Pollutant Emissions Factor (lbs/10 3 gal)* Reference

NOx 20 x (135,000/ 140,000) = 19.8 Table 1.3

- 1 boilers<100 million btu/hr, kerosene fired

CO 5 x (135,000/ 140,000) = 4.8 Table 1.3

- 1 boilers<100 million btu/hr, kerosene fired

VOC 0.34 x (135,000/ 140,000) = 033 Table 1.3

- 3 commercial boilers kerosene fired

*Note: 135,000/140,000 is the ratio of the heat content of kerosene to distillate oil

Page | 54Calculation Methodology:

Emissions from this category are determined in two steps.

1. The residential k erosene allocation for Shelby County, Tennessee is determined by multiplying the 2012

residential k erosene consumption for the State of Tennessee and the Residential Housing Units Ratio, as shown in

the following equation:

SCFC = RHU ratio x TNFC

where,

SCFC = Shelby County, Tennessee Residential Kerosene Consumption

RHU ratio = Residential Housing Units Ratio

TNFC = State of Tennessee Residential Kerosene Consumption

Thus, the Shelby County, Tennessee residential k erosene allocation is determined as fol lows:

SCFC = 0.02563 x 714,000 gal

= 15,681.98 gal

2. Emissions estimates are determined by multiplying the Shelby County, Tennessee residential k erosene

consumption estimate by AP

- 42 emission factors, and then performing the conversion from pounds to tons. For

example, the emissions estimate for nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = SCFC x EF x (1ton/2000 lbs)

= 15,681.98 gal x 1 9.8 lbs x 1 ton

10 3 gal 2000 lbs

= 0. 1553 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 0.1553tons/year

SAF = Seasonal Adjustment Factor, 0.3

WAF = Weekly Act ivity Factor, 7days/ week

Substituting this information into the equation gives

= (0.1553 tons/year) (0.3) / (7 days/week) (52 weeks)

= 0.000128 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Residential Kerosene Consumption Emissions Estimates

Pollutant SCFC

(10 3 gal) Emissions Factor

(lbs/10 3 gal) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 15.68198 19.8 0.1553 0.000128

CO 15.68198 4.8 0.0376 0.000031

VOC 15.68198 0.33 0.0026 0.000002

Page | 55Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Control Factor :

No controls were assumed for this category

References : 1.State Energy Consumption Estimates 1960

- 2012 (formerly the State Energy Data Report) , United States Department of

Energy, Energy Information Administration, Office of Energy Markets and End Use, Washington, DC . Internet Address:

2. American Fact Finder , US Census Bureau

. Internet Address: < http://www.census.gov/econ/cbp/download/12_data >

3. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , United States Environmental Protection Agency, Office

of Air Quality Planning and Standards, Research Triangle Park, NC

4 Procedures for the Preparation of Emission Inventories for Carbon Monoxide and Precursors of Ozone, Vol. I: General

Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air Quality

Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 56Residential Wood Consumption 

### ( SCC 2104004000)

Source Category Description Overview:

Residential Wood Consumption refers to wood that is burned/ consumed in a residential setting. The general

approach to calculating emissions for this SCC is to take State of Tennessee residential wood consumption estimates

from the Energy Information Administration (EIA) 1 and allocate it to the Sh elby County, Tennessee

- level using the

methods described below. To calculate the emissions for oxides of nitrogen (NOx), carbon monoxide (CO), and

volatile organic compounds (VOC) for a typical summer day, the residential wood consumption estimate at the

S helby County, Tennessee

- level is multiplied by AP

- 42 emission factors.

Assumptions :

The Department of Energy, in the preparation of the State Energy Data Report (SEDS), surveys state energy usage

by sector. Using this information in combination with housing data provides a representative method with which to

apportion local residential wo od usage to the county level.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of t otal statewide residential wood consumption. This information is obtained from the.2012 State

Energy Data System (SEDS), which is a comprehensive EIA database that tracks energy production, consumption,

prices, and expenditure by state. According to this reference source, residential wood consumption in the state of

Ten nessee during calendar year 2012, is as follows:

319,000 cords

2. An estimate of the total number of housing units in the State of Tennessee and in Shelby County, Tennessee

using wood as a heating fuel. This information is provided in the 2012 American Fact Finder, a publication of the

U.S. Census Bureau and is presented in the table below. Ultimately, this data is used to develop a ratio of residential

housing units (RHU ratio ) using wood as a primary heating source and is then used to allocate wood consumption

from the state level to the county

Table: 2012 Number of Households in Tennessee and Shelby, County, Tennessee using Wood *

House Heating Fuel Tennessee Shelby County, TN

Wood 50,993 402

Source: American Fact Finder , http://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk

Specifically, RHU ratio is the ratio of residential housing units in Shelby County, Tennessee to the residential housing

units in Tennessee and, as the table indicates, it is equal to 402 / 50,993 or 0.0 07883

3. Emissions Factors for NOx, CO, and VOC, which are obtained from AP

- 42, Fifth Edition, Volume I, Chapter 1:

External Combustion Source (U.S. Environmental Protection Agency, July 1998) 3 , are presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/ ton ) Reference

NOx 18.9 Table 1.5

- 1, wood fired

CO (8.4+7.5)/2 = 7.95 Table 1.5

- 1, wood fired

VOC 2.6 Table 1.5

- 1, wood fired

Page | 57Calculation Methodology:

Emissions from this category are determined in two steps.

1. The residential wood allocation for Shelby County, Tennessee is determined by multiplying the 2012 residential

wood consumption for the State of Tennessee and the Residential Housing Units Ra tio, as shown in the following

equation:

SCFC = RHU ratio x TNFC

where,

SCFC = Shelby County, Tennessee Residential Wood Consumption

RHU ratio = Residential Housing Units Ratio

TNFC = State of Tennessee Residential Wood Consumption

Thus, the Shelby County, Tennessee residential wood allocation is determined as follows:

SCFC = 0.007883 x 319,000 cords

= 2

, 515 cords

2. Emissions estimates are determined for by multiplying the Shelby County, Tennessee residential wood

consumption e stimate by AP

- 42 emission factors, and then performing the conversion from pounds to tons. For

example, the emissions estimate for nitrogen dioxide, NOx, is determined as follows:

Emissions of NOx = SCFC x EF x (1ton/2000 lbs)

= 2,515 cords x 2.9 tons x 2.6 lbs x 1 ton

1cord ton 2000 lbs

= 9.48 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 9.48 tons/year

SAF = Seasonal Adjustment Factor, 0.3

WAF = Weekly Activity Factor, 7days/ week

Substituting this information into the equation gives

= (9.48 tons/year) (0.3) / (7 days/week) (52 weeks)

= 0.007814 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Residential Wood Consumption Emissions Estimates

Pollutant SCFC

(cords) Emissions Factor

(lbs/ton) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 2515 2.6 9.482 0.007814

CO 2515 149 543.366 0.447829

VOC 2515 18.9 68.924 0.056805

Note: 1cord =2,90 tons

Page | 58Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References : 1.State Energy Consumption Estimates 1960

- 2012 (formerly the State Energy Data Report) , United States Department of Energy, Energy Information Administration, Office of Energy Markets and End Use, Washington,

DC . Internet Address:

2. American Fact Finder , US Census Bureau

. Internet Address: <http://www.census.gov/econ/cbp/download/12_data>

3. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

4 Procedures for the Preparation of Emission Inventories for Carbon Monoxide and Precursors of Ozone, Vol. I:

Ge neral Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 59B akeries ( SCC 2302050000 )

Source Category Description Overview:

Baker y emissions

, which are primarily ethanol, result from yeast fermentation during the baking process of bread

and bakery products. Ethanol is emitted through a vent with any combustion product gases.

Assumptions :

Due to the lack of commercial/ retail bakery production data, the per capita method is assumed to be more

representative of the emissions produced by this category in Shelby County, Tennessee.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ter s:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. Emission factor for VOC

- a n emission factor of 0.35 lb s VOC/capita/year (Emission Inventory Improvement

Program ) 1 , was derived, based on a per capita consumption of 70 pounds per person and emissions for the sponge

dough method of 5 pounds VOC per 1,000 pounds baked (because it yields a conservative emissions estimate)



### .

2. 20 1 2 Shelby County, Tennessee . population (Census Bureau) 2

– 93 7

, 763

Calculation Methodology:

Emissions from this category are determined as follows:

The VOC emissions associated with commercial/ retail bakeries operating in Shelby County, Tennessee were

calculated using the per capita emission factor of 0.35 lb s VOC/capita/year and the 2012 Shelby County population

. For example, the emissions estimate for nitrogen dioxide, NOx, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 person s ) (0.35 lb s VOC/ person /year) (1ton/2000 lbs)

= 164. 1085 tons /year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 164. 1085 tons/year

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7days/ week

Substituting this information into the equation gives

= (16 4

. 1085 tons/year) (1) / (7 days/week) (52 weeks)

= 0.45 08 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Page | 60Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1

. Emission Inventory Improvement Program (EIIP), Volume III, Area Source Method Abstracts, Baked Goods at

Commercial/Retail Bakeries, July 1999 , United States Environmental Protection Agency, Office of Air Quality

Planning and Standards, Research Triangle Park, NC

2. American Fact Finder , US Census Bureau

. Internet Ad dress: < http://www.census.gov/econ/cbp/download/12_data >

Page | 61Wineries (red wine) (SCC 2302070005)

Source Category Description Overview:

Winery emissions result from the entrainment of ethanol by carbon dioxide during wine fermentation. Factors

affecting ethanol emissions are handling techniques, temperature, process equipment design, and fermenting

parameters. Other sources of emissions from the wine making process are blending, transferring, racking and

storing of the wine.

Assumptions :

Due to the lack of data regarding wine type, red wine production was assumed to be 50 percent of the 5000 gallon

annual total.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input paramet ers are needed to calculate emissions for this source category.

1. The wine production amounts 1 for each winery operating in Shelby County during calendar year 2012

. Th is

information is displayed in the table below

.

Table : 2012 Shelby County Winery Production Amounts

Winery Wine Type Amount (gallons)

Old Millington Winery red 2500

2. Emissions Factor for VOC, which is provided in AP

- 42, Fifth Edition, Volume I, Chapter 9 : Food and

Agricultural I ndustries (U.S. Environmental Protection Agency, July 1998) 2 , are presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/10 3 gal) Reference

VOC 4.6 Table 9.12.2, Wine and Brandy ( red wine)

Calculation Methodology:

Emissions were determined using 20 1 2 county

- level wine production data. The emission factors for both red and

white wines were obtained from AP

- 42. Emissions were estimated as follow s:

Annual VOC Emissions =  (20 1 2 Total Red Wine Production) (  Red Wine Emission Factor) (pound to ton conversion)

= (2,500 gallons) (4.6 lbs/gallons/year) (1 ton/ 2000 lbs)

= 5.75 tons/yr

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emi ssions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 5.75 tons/year

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7days/ week

Substituting this information into the equation gives

= ( 0.00575 tons/year) (1) / (7 days/week) (52 weeks)

= 0.0000158 tons/day

Page | 6 2Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition

, , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

Page | 63Wineries (white wine) (SCC 2302070005)

Source Category Description Overview:

Winery emissions result from the entrainment of ethanol by carbon dioxide during wine fermentation. Factors

affecting ethanol emissions are handling techniques, temperature, process equipment design, and fermenting

parameters. Other sources of emissions from the wine making process are blending, transfe rring, racking and

storing of the wine.

Assumptions :

Due to the lack of data regarding wine type, white wine production was assumed to be 50 percent of the 5000 gallon

annual total.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. The wine production amounts 1 for each winery operating in Shelby County during calendar year 2012. This

information is displayed in the table below.

Table : 2012 Shelby County Winery Production Amounts

Winery Wine Type Amount (gallons)

Old Millington Winery white 2500

2. Emissions Factor for VOC, which is provided in AP

- 42, Fifth Edition, Volume I, Chapter 9: Food and

Agricultural I ndustries (U.S. Environmental Protection Agency, July 1998) 2 , are presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/10 3 gal) Reference

VOC 1.8 Table 9.12.2, Wine and Brandy (white wine)

Calculation Methodology:

Emissions were determined using 2012 county

- level wine production data. The emission factors for both red and

white wines were obtained from AP

- 42. Emissions were estimated as follows:

Annual VOC Emissions =  (2012 Total Red Wine Pro

= (2,500 gallons) (1.8 lbs/gallons/year) (1 ton/ 2000 lbs)

= 2.25 tons/yr

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 2.25 tons/year

SAF = Seasonal Adjustment Factor, 1

WA F = Weekly Activity Factor, 7days/ week

Substituting this information into the equation gives

= ( 0.00225 tons/year) (1) / (7 days/week) (52 weeks)

= 0.000000618 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Page | 64Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. Compilation of Air Pollutant Emission Factors, AP

- 42 Fifth Edition , , United States Environmental Protection

Agency, Office of Air Quality Planning and Stan dards, Research Triangle Park, NC

Page | 65Breweries (SCC 2302070001)

Source Category Description Overview:

Breweries e missions result from compounds such as ethanol, myrcene, ethyl acetate and higher alcohols resulting

from the brewing process. There are two brewery emission factors, which differ based on facility production size

(i.e., a smaller emission factor is used for facilities with more than 60,000 barrels production, and a larger factor

for facilities producing 60,000 ba rrels or less).

Assumptions :

Brewery amounts are assumed at the lower range of the “Regional microbrewery” definition which is 15,000 to

600,000 barrels per year. This assumption provides a conservative estimate of emissions from this source category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. The beer production amounts 1 for each brewery operating in Shelby County during calendar year 2012. This

information is displayed in the table below.

Table : 2012 Shelby County brewery Production Amounts

Brewery Amount (barrels) Amount (gallons)

Wiseacre Brewing Company 15,000 465,000

Memphis Made Brewing Company 15,000 465,000

High Cotton Brewing Company 15,000 465,000

Ghost River Brewing 15,000 465,000

Total 1,860,000

Note: Microbreweries produce fewer than 15,000 barrels of beer a year. A regional craft brewery is a brewery with an annual beer production

between 15,000 and 6,000,000 barrels A barrel is 31 U.S. gallons.

2. Emissions Factor for VOC, which is provided in AP

- 42, Fifth Edition, Volume I, Chapter 9: Food and

Agricultural Industries (U.S. Environmental Protection Agency, July 1998) 2

, is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/10 3 gal) Reference

VOC 112.457 Table 9.12. 1

, Malt Beverages

Calculation Methodology:

Emissions were determined using 2012 county

- level wine production data. The emission factors for both red and

white wines were obtained from AP

- 42. Emissions were estimated as follows:

Annual VOC Emissions =  (2012 Micro

- Beer Production) (  Micro

- Beer Emission Factor) (pound to ton conversion)

= ( 1,860,000 gallons) ( 112.457 lbs/ 1000 gallons/year) (1 ton/ 2000 lbs)

= 104.585 tons/yr

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 104.585 tons/year

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7days/ week

Page | 66Substituting this information into the equation gives

= (104.585tons/year) (1) / (7 days/week) (52 weeks)

= 0.2873 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United St ates Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year em issions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Control Factor :

No controls were assumed for this category

References:

1. Compilation of Air Pol lutant Emission Factors, AP

- 42 Fifth Edition , , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

Page | 67Architectural Coatings (SCC 2401001000)

Source Category Description Overview:

Architectural Coatings emissions include the application of paint, primer, varnish or lacquer to architectural

surfaces, and the use of solvents as thinners and for cleanup.

Assumptions :

Brewery amounts are assumed at the lower range of the “Regional microbrewery” definition which is 15,000 to

600,000 barrels per year. This assumption provides a conservative estimate of emissions from this source category.

Control Factor :

No controls were assumed for thi s category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC , is presented in the table below

Table : NEI Emissions Factors

Pollutant Emissions Factor (lbs/ yr/per capita ) Reference

VOC 2.34 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with architectural surface coating in Shelby County, Tennessee were calculated

using the per capita emission factor of 2.34 lb s VOC/capita/year and the 2012 Shelby County population

. E missions

estimate for volatile organic comp ounds

, VOC , is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 persons) ( 2.34 lb s VOC/person/year) (1ton/2000 lbs)

= 109 7

. 1827 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 10 97

. 1827 tons

SAF = Seasonal Adjustment Factor, 1.3

WAF = Weekly Activity Factor, 5days/ week

Substituting this information into the equation gives

= (10 97

. 1827 tons/year) (1.3)/ (5 days/week) (52 weeks/ year)

= 5.4 859 tons/day

Page | 68Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: : <http://www.census.gov/econ/cbp/download/12_data>

Page | 69A uto Refinishin g (SCC 2401005000)

Source Category Description Overview:

Auto r efinishing emissions consist of vehicle preparation, primer application, topcoat application and spray

equipment cleaning. These operations result in significant VOC emissions.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Param e ters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) codes 4411, 4412

, and 81112 which are provided in the 2012

County Business Patterns1. This information is presented in the table.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Shelby County, TN

4411 Automobile Dealers 3636

4412 Other Motor Vehicle Dealers 0

81112 Automotive Mechanical and Electrical Repair and Maintenance 762

Totals 4398

Source: County Business Patterns

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI) , is presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee ) Reference

VOC 94.69 2011 NEI

, Auto Refinishing

3. Weekly activity, WAF = 7 days/week

4. Seasonal Adjustment factor, SAF = 1

Calculation Methodology:

The VOC emissions associated with automobile refinishing in Shelby County, Tennessee were calculated using the

per capita emission factor of 94.69 lbs VOC/person/year and the 2012 Shelby County employment data

. E missions

estimate f or volatile organic compounds, VOC

, is determined as follows:

Emissions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= ( 4398 persons) ( 94.69 lbs VOC/person/year) (1ton/2000 lbs)

= 208.2 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 208.2 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity F actor, 5 days/ week

Page | 70Substituting this information into the equation gives

= (208.2 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 1.0411 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: : <http://www.census.gov/econ/cbp/download/12_data>

Page | 71Traffic Marking (SCC 2401008000)

Source Category Description Overview:

Traffic marking emissions are associated with marking of highway center lines, edge stripes, and directional

markings and painting on other paved and non

- paved surfaces, such as markings in parking lots. There are two types

o f traffic marking paints, water

- based and solvent

- based paints. Solvent

- based paint typically contains substantially

higher volatile solvent contents than water

- based paint. VOC emissions result from the evaporation of organic

solvents during and shortly a fter the application of the marking paint. Solvent

- and water

- based paints have about

the same durability; both begin to deteriorate about a year after their application.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Emissions Factor for VOC, which is provided in AP

- 42, Fifth Edition, Volume I, Chapter 4: Evaporation Loss

Sources (U.S. Environmental Protection Agency, July 1998) 2 , is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per capita) Reference

VOC 1.9 Table 4.2.1, Nonindustrial Surface Coating

Calculation Methodology:

The VOC emissions associated with traffic marking in Shelby County, Tennessee were calculated using the per

capita emission factor of 1.9 lbs VOC/capita/year and the 2012 Shelby County population. Emissions estimate for

volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 persons) (1.9 lbs VOC/person/year) (1ton/2000 lbs)

= 89 0

. 8 749 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 89 0

. 8 749 tons

SAF = Seasonal Adjustment Factor, 1.3

WAF = Weekly Activity Factor, 5 days/ w eek

Substituting this information into the equation gives

= (89 0

. 8 749 tons/year) (1.3)/ (5 days/week) (52 weeks/ year)

= 4.4 5 44 tons/day

Page | 72Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: <http://www.census.gov/econ/cbp/download/12_data>

2. Compilation of Air Pollutant Emission Facto rs, AP

- 42 Fifth Edition , , United States Environmental Protection

Agency, Office of Air Quality Planning and Standards, Research Triangle Park, NC

Page | 73Factory Finish e d Wood ( SCC 2401015000)

Source Category Description Overview:

Factory finished wood emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel, varnish,

etc.) to the surface of a wood object for decorative or protective purposes. The coating products, which are solvent

based, emit VOC emissions as the result of so lvent evaporation during the drying or curing process.

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) code 321 which is provided in the 2012 County Business

Patterns1. This information is presented in the table.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Shelby County, TN

321 Factory Finished Wood 642

Totals 642

Source: County Business Patterns

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee ) Reference

VOC 48.07 2011 NEI, Factory Finished Wood

Calculation Methodology:

The VOC emissions associated with factory finished wood in Shelby County, Tennessee were calculated using the

per capita emission factor of 48.07 lbs VOC/person/year and the 2012 Shelby County employment data . Emissions

estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= ( 642 persons) ( 48.07 lbs VOC/person/year) (1ton/2000 lbs)

= 15.43 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 15.43 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

= (15.43 tons/year) (1)/ (5 days/week) (52 weeks/ year)

Page | 74= 0.05935 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Control Factor :

No controls were assumed for this category

References:

1. American Fact Finder , US Census Bureau

. Internet Address: <http://www.census.gov/econ/cbp/download/12_data>

Page | 75Surface Coating Wood Furniture (SCC 2401020000)

Source Category Description Overview:

Wood Furniture emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel, varnish, etc.) to

the surface of a n object of wood furniture for decorative or protective purposes. The coating products, which are

solvent based, emit VOC emissions as the result of solvent evaporation during the drying or curing process.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) code s 3 37110, 337121, 337122, 337127, 337129, 337211,

337212, 337215, and 33911/ which are provided in the 2012 County Business Patterns 1 . This information is

presented in the table below.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Shelby County, TN

337110 Wood Furniture 69

337121 Wood Furniture 0

337122 Wood Furniture 0

337127 Wood Furniture 0

337129 Wood Furniture 0

337211 Wood Furniture 0

337212 Wood Furniture 0

337215 Wood Furniture 0

33911/ Wood Furniture (50% of this NAICS value of 4372) 2186

Totals 2220.5

Source: County Business Patterns

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee) Reference

VOC 524.13 2011 NEI, Wood Furniture

Calculation Methodology:

The VOC emissions associated with wood furniture in Shelby County, Tennessee were calculated using the per

capita emission factor of 244 lbs VOC/person/year and the 2012 Shelby County employment data . Emissions

estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= ( 2220.5 persons) ( 524.13 lbs VOC/person/year) (1ton/2000 lbs)

= 581.91 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

Page | 76Page | 77where

Annual Emissions = 581.91 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

= (581.91 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 2.2381tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodolo gy” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address : <http://www.census.gov/econ/cbp/download/12_data>

Page | 78Surface Coating Metal Furniture (SCC 2401025000)

Source Category Description Overview:

Metal Furniture emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel, varnish, etc.) to

the surface of an object of metal furniture for decorative or protective purposes. The coating products, which are

solvent based, emit VOC emissions as the result of solvent evaporation during the drying or curing process.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) codes 3371 24 , 3371 27 , 337 214 , 337 215 , and 33911/ which are

provided in the 2012 County Business Patterns 1 . This information is presented in the table bel ow.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Shelby County, TN

337124 Metal Furniture 0

337127 Metal Furniture 0

337214 Metal Furniture 0

337215 Metal Furniture 0

33911 / Metal Furniture (50% of this NAICS value of 4372) 2186

Totals 2186

Source: County Business Patterns

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee) Reference

VOC 887.8 2011 NEI, Metal Furniture

Calculation Methodology:

The VOC emissions associated with surface coating metal furniture in Shelby County, Tennessee were calculated

using the per capita emission factor of 887.8 lbs VOC/person/year and the 2012 Shelby County employment data

. Emissions estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= ( 2186 persons) ( 887.8 lbs VOC/person/year) (1ton/2000 lbs)

= 970.37 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 970.37 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Page | 79Substituting this information into the equation gives

= (970.37 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 3.7321 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address : <http://www.census.gov/econ/cbp/download/12_data>

Page | 80Surface Coating Paper, Foil, and Film (SCC 2401030000)

Source Category Description Overview:

Metal Furniture emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel, varnish, etc.) to

the surface of an object of paper, foil, and film for decorative or protective purposes. The coating products, which

are solvent

- based, emit VOC emissions as the result of solvent evaporation during the drying or curing process.

Assumptions :

County population and per capita emissions factor provide a representative method to estima te local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An emission factor of 0.109 lb VOC/capita/year was developed from the 2012 U.S. population of 312,780,968

people and the amount of solvents used for paper, foil , which was 1,691,000 pounds in 2007 based on Report

#2357, Solvents to 2012 produced by The Fre edonia Group, 2008, as follows:

34.1 million pounds / 312780968 people =0.109 lbs/person/year

2. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

Calculation Methodology:

Emissions from this category are determined as follows:

The VOC emissions associated with paper, foil, and film surface coating operati ons in Shelby County, Tennessee

were calculated using the per capita emission factor of 0.109 lb VOC/capita/year developed from the amount of

solvents used for paper, foil and f ilm and the 2012 Shelby County population. For example, the emissions estimate

for nitrogen dioxide, NOx, is determined as follows:

Emissions of VOC = (Shelby County population) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 persons) ( 0.109 lb s V OC/person/year) (1ton/2000 lbs)

= 51. 1081 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 51. 1081 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

= (51. 1081 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 0.19 66 tons/day

Page | 81Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Ene rgy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address : <http://www.census.gov/econ/cbp/download/12_data>

Page | 82Metal Can Coating Manufacturing (SCC 2401040000)

Source Category Description Overview:

Metal Can Coating emissions, result from applying a thin layer of coating (e.g. paint, lacquer, enamel, varnish, etc.)

to the surface of an object such as a metal can f or decorative or protective purposes. The coating products, which are

solvent

- based, emit VOC emissions as the result of solvent evaporation during the drying or curing process.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the industrial employment for metal can coating in Shelby County, Tennessee , not included with

point sources, is provided in in the table.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

Shelby County, TN Metal Can Coating Employment Employees

Southern Containers 5

- 9

Metal Can Coating Tennessee Container 1

- 4

Totals 9.5

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee) Reference

VOC 3035 2011 NEI, Metal Can Coating

Calculation Methodology:

The VOC emissions associated with metal can coating in Shelby County, Tennessee were calculated using the per

capita emission factor of 3035 lbs VOC/person/year and the 2012 Shelby County employment data . Emissions

estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= ( 9.5 persons) ( 3035 lbs VOC/person/year) (1ton/2000 lbs)

= 14.42 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 14.42 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

Page | 83= (14.4 2 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 0.0555 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address : <http://www.census.gov/econ/cbp/download/12_data>

Page | 84Metal Sheet, Strip, and Coil Manufacturing (SCC 2401045000)

Source Category Description Overview:

Metal Sheet, Strip, and Coil emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel,

varnish, etc.) to the surface of an object of metal sheet, strip, and/or coil for decorative or protective purposes. The

coating products, which are solvent

- based, emit VOC emissions as the result of solvent evaporation during the

drying or curing process.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for t his source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) codes 332812, 339911, 339912, and 339914 which are

provided in the 2012 County Bu siness Patterns 1 . This information is presented in the table below.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Shelby County, TN

332812 Metal Sheet, Strip, and Coil 45

339911 Metal Sheet, Strip, and Coil 0

339912 Metal Sheet, Strip, and Coil 0

339914 Metal Sheet, Strip, and Coil 0

Totals 45

Source: County Business Patterns

/

2. Emissions Factor for VOC, as provided in EPA

- 450/4

- 91

- 016 2

Calculation Methodology:

The VOC emissions associated with sheet metal, strip, and coil surface coating in Shelby County, Tennessee were

calculated using the per capita emission factor of 2877 lbs VOC/person/year and the 2012 Shelby County

employment data. Emissions estimate for v olatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= (45 persons) (2877 lbs VOC/person/year) (1ton/2000 lbs)

= 64.73 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 64.73 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

= (64.73 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 0.2490 tons/day

Page | 85Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address : <http://www.census.gov/econ/cbp/download/12_data>

2 Procedures For The Preparation Of Emission Inventories For Carbon Monoxide And Precursors of Ozone,

Volume I: General Guidance For Stationary Sources , United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park NC 277711, EPA

- 450/4

- 91

- 016, Ma y 1991, Table 4.3

- 6,

page 4

- 24

Page | 86Surface Coating Machinery and Equipment 

### ( SCC 2401055000)

Source Category Description Overview:

Machinery and Equipment emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel,

varnish, etc.) to the surface of an object of machinery and/or machinery for decorative or protective purposes. The

coating products, which are solvent based, emit VOC emissions as the result of solvent evaporation during the

drying or curing process.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assu med for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) codes 3331//, 3332//, 3333//, and 33341// which are provided in

the 2012 County Business Patterns 1 . This information is presented in the table below.

Table: 2012 Industrial Employ ment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Shelby County, TN

3331// Machinery and Equipment 0

3332// Machinery and Equipment 85

3333// Machinery and Equipment 217

33341// Machinery and Equipment 0

Totals 302

Source: County Business Patterns

/

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee) Reference

VOC 51.64 2011 NEI, Metal Furniture

3. Emissions Factor for VOC, as provided in EPA

- 450/4

- 91

- 016 2

Calculation Methodology:

The VOC emissions associated with machinery and equipment surface coating in Shelby County, Tennessee were

calculated using the per capita emission factor of 51.64 lbs VOC/ person /year and the 2012 Shelby County

employment data . Emissions estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= (302 persons) (51.64 lbs VOC/person/year) (1ton/2000 lbs)

= 7. 8 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 7.8 tons

Page | 87SAF = Seasonal Adjustment Factor, 1

Page | 88WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

= (7.8 tons/year) (1)/(5 days/week) (52 weeks/ year)

= 0.02999 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address : <http://www.census.gov/econ/cbp/download/12_data>

Page | 89Appliances (SCC 2401060000)

Source Category Description Overview:

Appliance emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel, varnish, etc.) to the

surface of an object such as an appliance for decorative or protective purposes. The coating products, which are

solvent based, emit VOC emissions as the result of solvent evaporation during the drying or curing process.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An emission factor of 0.06 lb s VOC/capita/year was developed from the 2012 U.S. population of 312,780,968

people and the amount of solvents used for appliances , which was 18,600 ,000 pounds in 2007 based on Report

#2357, Solvents to 2012 produced by The Freedonia Group, 2008, as follows :

18.6 million pounds / 312780968 people = 0.06 lbs/person/year

2. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

Calculation Methodology:

Emissions from this category are determined as follows:

The VOC emissions associated with appliance surface coating operations in Shelby County, Tennessee were

calculated using the per capita emission factor of 0.06 lb VOC/capita/year developed from the amount of solvents

used for paper, foil and film and the 2012 Shelby County population. For e xample, the emissions estimate for

nitrogen dioxide, NOx, is determined as follows:

Emissions of VOC = (Shelby County population) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 persons) ( 0.06 lbs VOC/person/year) (1ton/2000 lbs)

= 28.1 329 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 28.1 329 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

= (28.1 329 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 0.108 2 tons/da

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Page | 90Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address : <http://www.census.gov/econ/cbp/download/12_data>

Page | 91Electronic and other Electrical Coatings (SCC 2401065000)

Source Category Description Overview:

Electronic and other Electrical Coatings emissions result from applying a thin layer of coating (e.g. paint, lacquer,

enamel, varnish, etc.) to the surface of an electronic and/or electrical object for decorative or protective purposes.

The coating products, which are solvent based, emit VOC emissions as the result of solvent evaporation during the

drying or curing process.

Assumptions :

Industry employment and per employee emissions factor p rovide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) codes 33 1319

, 331422

, 331491

, 335921, 335929, and

33531/ which are provided in the 2012 County Business Patterns 1 . This information is presented in the table

below.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Shelby County, TN

331319 Electronic and Other Electrical Coating 0

331422 Electronic and Other Electrical Coating 0

331491 Electronic and Other Electrical Coating 0

335921 Electronic and Other Electrical Coating 0

335929 Electronic and Other Electrical Coating 0

33531/ Electronic and Other Electrical Coating 103

Totals 103

Source: County Business Patterns

/

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee) Reference

VOC 31.92 2011 NEI, Electronic and Other Electrical Coating

Calculation Methodology:

The VOC emissions associated with electronic and other electrical coating in Shelby County, Tennessee were

calculated using the per capita emission factor of 31.92 lbs VOC/person/year and the 2012 Shelby County

employment data. Emissions estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= ( 103 persons) ( 31.92 lbs VOC/person/year) (1ton/2000 lbs)

= 1.64 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

Page | 92where

Annual Emissions = 1.64 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

= (1.64 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 0.00632 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the Uni ted States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

F or more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address : < http://www.census.gov/econ/cbp/download/12_data>

Page | 93Motor Vehicles and Parts (SCC 2401070000)

Source Category Description Overview:

Motor Vehicles and Parts emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel, varnish,

etc.) to the surface of an electronic and/or electrical object for decorative or protective purposes. The coating

products, which are solvent

- based, emit VOC emissions as the result of solvent evaporation during the drying or

curing process.

Assumptions :

Indu stry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) codes 3361//, 3362//, and 3363// which are provided in the

2012 County Business Patterns 1 . This information is presented in the table below.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Shelby County, TN

3361// Motor Vehicles and Parts 277

3362// Motor Vehicles and Parts 0

3363// Motor Vehicles and Parts 0

Totals 277

Source: County Business Patterns

/

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee) Reference

VOC 194 2011 NEI, Motor Vehicles and Parts

Calculation Methodology:

The VOC emissions associated with motor vehicles and parts surface coating in Shelby County, Tennessee were

calculated using the per capita emission factor of 194 lbs VOC/person/year and the 2012 Shelby County

employment data. Emissions estimate for volatile organic compounds, VOC, is determined as follows:

Emis sions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= (277 persons) (194 lbs VOC/person/year) (1ton/2000 lbs)

= 26.87 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is de termined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 26.87 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Page | 94Page | 95Substituting this information into the equation gives

= (26.87 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 0.1033 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed wi th data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Int ernet Address : <http://www.census.gov/econ/cbp/download/12_data>

Page | 96Surface Coating Aircraft (SCC 2401070000)

Source Category Description Overview:

Surface Coating Aircraft emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel, varnish,

etc.) to the surface of an aircraft for decorative or protective purposes. The coating products, which are solvent

based, emit VOC emissions as the result of solvent evaporation during the drying or curing process.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) codes 3364// which are provided in the 2012 County Business

Patterns 1 . This information is presented in the table below.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, Count y, Tennessee

NAICS NAICS Description Shelby County, TN

3364// Surface Coating Aircraft 226

Totals 226

Source: County Business Patterns

/

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee) Reference

VOC 12.98 2011 NEI, Surface Coating Aircraft

Calculation Methodology:

The VOC emissions associated with aircraft surface coating in Shelby County, Tennessee were calculated using the

per capita emission factor of 12.98 lbs VOC/person/year and the 2012 Shelby County employment data. Emissions

estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= (266 persons) (12.98 lbs VOC/person/year) (1ton/2000 lbs)

= 1.73 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 1.73 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

Page | 97= (1.73 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 0.00664 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address : < http://www.census.gov/econ/cbp/download/12_data>

Page | 98Marine Surface Coating 

### ( SCC 2401080000)

Source Category Description Overview:

Marine Surface Coating emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel, varnish,

etc.) to the surface of an aircraft for decorative or protective purposes. The coating products, which are solvent

b ased, emit VOC emissions as the result of solvent evaporation during the drying or curing process.

Assumptions :

Industry employment and per employe e emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) codes 336 6 // which are provided in the 2012 County B usiness

Patterns 1 . This information is presented in the table below.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Shelby County, TN

336 6 // Marine Surface Coating 226

Totals 226

Source: County Business Patterns

/

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee) Reference

VOC 225.4 2011 NEI, Marine Surface Coating

3. Weekly activity, WAF = 7 days/week

4. Seasonal Adjustment factor, SAF = 1

Calculation Methodology:

The VOC emissions associated with marine surface coating in Shelby County, Tennessee were calculated using the

per capita emission factor of 225.4 lbs VOC/person/year and the 2012 Shelby County employment data. Emissions

estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= (266 persons) ( 225.4 lbs VOC/person/year) (1ton/2000 lbs)

= 29.98 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 29.98 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Page | 99Substituting this information into the equation gives

= (29.98 tons/year) (1)/ (5 days/wee k) (52 weeks/ year)

= 0.1153 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United State s Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address : < http://www.census.gov/econ/cbp/download/12_data>

Page | 100Locomotive Surface Coating 

### ( SCC 2401085000)

Source Category Description Overview:

Locomotive Surface Coating emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel,

varnish, etc.) to the surface of an aircraft for decorative or protective purposes. The coating products, which are

solvent based, emit VOC emissions as the result of solvent evapor ation during the drying or curing process.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

Amer ican Industrial Classification System (NAICS) codes 3365// which are provided in the 2012 County Business

Patterns 1 . This information is presented in the table below.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, T ennessee

NAICS NAICS Description Shelby County, TN

3365// Locomotive Surface Coating 226

Totals 226

Source: County Business Patterns

/

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee) Reference

VOC 208.3 2011 NEI, Locomotive Surface Coating

Calculation Methodology:

The VOC emissions associated with locomotive surface coating in Shelby County, Tennessee were calculated using

the per capita emission factor of 208.3 lbs VOC/person/year and the 2012 Shelby County employment data.

Emissions estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County employment ) ( Emission Factor) (pound

- to

- ton conversion)

= (266 persons) (208.3 lbs VOC/person/year) (1ton/2000 lbs)

= 27.7 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 27.7 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

= (27.7 tons/year) (1)/ (5 days/week) (52 weeks/ year)

Page | 101= 0.1066 tons/day

Page | 102Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States D epartment of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For mo re information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address : < http://www.census.gov/econ/cbp/download/12_data>

Page | 103Industrial Maintenance Coatings (SCC 2401100000)

Source Category Description Overview:

Industrial Maintenance Coatings emissions result from applying a thin layer of coating (e.g. paint, lacquer,

enamel, varnish, etc.) to the surface of an industrial object for decorative , maintenance and/ or protective

purposes. The coating products, which are solvent

- based, emit VOC emi ssions as the result of solvent

evaporation during the drying or curing process.

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per capita) Reference

VOC 0.603 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with industrial maintenance coatings in Shelby County, Tennessee were calculated

using the per capita emission factor of 0.603 lbs VOC/capita/year and the 2012 Shelby County population.

Emissions estimate for volatile organic c ompounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 persons) (0.603 lbs VOC/person/year) (1ton/2000 lbs)

= 28 2

. 7824 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 28 2

. 7824 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

= (28 2

. 7824 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 1.0 876 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Page | 104Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: <http://www.census.gov/econ/cbp/download/12_data>

Page | 105Miscellaneous Manufacturing 

### ( SCC 2401090000)

Source Category Description Overview:

Miscellaneous manufacturing emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel,

varnish, etc.) to the surface of an object for decorative or protective purposes. The coating products, which are

solvent

- based, emit VOC emissions as the result of solvent evaporation during the drying or curing process.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

e missions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) code 339 which is provided in the 2012 County Business

Patterns 1 . This information is presented in the table.

Table: 201 2 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Shelby County, TN

339 Miscellaneous Manufacturing 4682

Totals 4682

Source: County Business Patterns

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee) Reference

VOC 92.42 2011 NEI, Miscellaneous Manufacturing

Calculation Methodology:

The VOC emissions associated with automobile refinishing in Shelby County, Tennessee were calculated using the

per capita emission factor of 92.42 lbs VOC/capita/year and the 2012 Shelby County population. Emissions estimate

for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= (4682 persons) (92.42 lbs VOC/person/year) (1ton/2000 lbs)

= 216.36 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 216.36 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Page | 106Substituting this information into the equation gives

= (216.36 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 0.8321 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: <http://www.census.gov/econ/cbp/download/12_data>

Page | 107Other Special Purpose Coatings (SCC 2401200000)

Source Category Description Overview:

Other Special Purpose Coatings emissions result from applying a thin layer of coating (e.g. paint, lacquer,

enamel, varnish, etc.) to the surface of an industrial object for decorative, maintenance and/ or protective

purposes. The coating products, which are solvent based, emit VOC emi ssions as the result of solvent

evaporation during the drying or curing process.

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls wer e assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Weekly activity, WAF = 7 days/week

3. Seasonal Adjustment factor, SAF = 1

4. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per capita) Reference

VOC 0. 0064 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with other special purpose coating in Shelby County, Tennessee were calculated

using the per capita emission factor of 0.0064 lbs VOC/capita/year and the 2012 Shelby County population.

Emissions estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 persons) (0.0064 lbs VOC/person/year) (1ton/2000 lbs)

= 3.0 0 08 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 3.0 0 08 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

= (3.0 0 08 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 0.011 5 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Page | 108Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future y ears

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: < http://www.census.gov/econ/cbp/download/12_data >

Page | 109Degreasing (SCC 2415000000)

Source Category Description Overview:

Degreasing emissions result from applying a thin layer of solvents to clean the surface s . The degreasing products,

which are solvent

- based, emit VOC emissions as the result of solvent evaporation during the drying or curing

process.

Assumptions :

Industry employment and per employee emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. An estimate of the total industrial employment in Shelby County, Tennessee as represented by the North

American Industrial Classification System (NAICS) codes 33 1 / / /

, 332///, 333///, 334///, 335///, 336///,337///, 339///,

441///, 483///, 484///, 485///, 488///, 8111//, and 8112// which are provided in th e 2012 County Business Patterns 1

. This information is presented in the table below.

Table: 2012 Industrial Employment Data for the State of Tennessee and Shelby, County, Tennessee

NAICS NAICS Description Shelby County, TN

331/// Degreasing 0

332/// Degreasing 3035

333/// Degreasing 2289

334/// Degreasing 1502

335/// Degreasing 319

336/// Degreasing 277

337/// Degreasing 218

339/// Degreasing 4682

441/// Degreasing 5487

483/// Degreasing 0

484/// Degreasing 11693

485/// Degreasing 0

488/// Degreasing 6115

8111// Degreasing 2157

8112// Degreasing 310

Totals 38084

Source: County Business Patterns

2. Emissions Factor for VOC, as used in the 2011 National Emissions Inventory (NEI), is presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per employee) Reference

VOC 36.96 2011 NEI, Degreasing

Calculation Methodology:

The VOC emissions associated with degreasing in Shelby County, Tennessee were calculated using the per capita emission

factor of 36.96 lbs VOC/person/year and the 2012 Shelby County employment data. Emissions estimate for volatile organic

compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County employment ) (Emission Factor) (pound

- to

- ton conversion)

= ( 38084 persons) ( 36.96 lbs VOC/person/year) (1ton/2000 lbs)

= 566.6 tons/year

Page | 110Page | 111However, because this category has a point source component, point source subtraction is necessary. According to

emission inventory records 6,009 people are em ployed by the point source s submitted in this plan . Due to lack of

information related to degreasing and solvent cleaning emissions activities by these facilities, point source emissions

for this category are estimated using total employment and a per employee emission factor as follows,

Emissions of VOC = (Number of Employees) (Emission Factor) (Conversion Factor)

= (6,009 employees) ( 8.7 lbs/year/ employee) (1ton / 2000lbs)

= 261.39 tons

Subtracting this amount from the VOC emissions estimate determined above yields,

Emissions of VOC = ( 566.6

– 261.39 tons)

= 305.21 tons

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 566.6 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5 days/ week

Substituting this information into the equation gives

= ( 305.21 tons/year) (1)/ (5 days/week) (52 weeks/ year)

= 2.1794 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: http://www.census.gov/econ/cbp/download/12_data

Page | 112Dry c lean er (SCC 2420000000)

Source Category Description Overview:

Drycleaner emissions shown in the table below were submitted to the Shelby County Health Department, Pollution

Control Section (SCHD

- PCS) by each drycleaner in fulfillment of permit conditions which require periodic

reporting of emissions information. Furthermore, it is important to note that a “Responsible Company Official” is

required to sign a statement guaranteeing the accuracy of the emissions informatio n submitted to SCHD

- PCS.

2012 Shelby County, Tennessee Dry Cleaning Emissions

SOURCE# COMPANY NAME “PERC”

(tons) “PETRO”

(tons) Total VOC

Emissions

(tons) 9001 TRISTAR CLEANERS 0.10 0.00 0.10

9006 CARWILE'S CUSTOM CLEANERS 0.00 0.00 0.00

9014 SMART SERVICES, LLC. 1.05 0.00 1.05

9015 MOON'S DRYVE CLEANERS dba 0.50 0.00 0.50

9016 SMART SERVICES, LLC 1.12 0.00 1.12

9017 YOUR CLEANER dba 0.00 0.00 0.00

9019 FASHION CLEANERS dba 0.10 0.00 0.10

9023 YOUNG DRYVE CLEANERS dba 0.70 0.00 0.70

9026 GENERAL CLEANERS 0.40 0.00 0.40

9028 GRAHAMWOOD CLEANERS dba 0.50 0.00 0.50

9029 HAPPY DAY LAUNDRY & CLEANERS, 2.20 0.00 2.20

9033 KRAUS MODEL CLEANERS 0.00 0.00 0.00

9035 CONTINENTAL CLEANERS I dba 1.70 0.00 1.70

9037 RALEIGH 1 HR CLEANERS dba 0.58 0.00 0.58

9039 JUN CORPORATE, INC 0.20 0.00 0.20

9042 MERCURY VALET SERVICE 0.30 0.00 0.30

9043 MT MORIAH CLEANERS dba 0.80 0.00 0.80

9044 MY VALET CLEANERS dba

9050 PERRY'S ONE HOUR CLEANERS

9052 PETER PAN CLEANERS dba 0.20 0.00 0.20

9059 UNION DRYVE CLEANERS, LLC 0.30 0.00 0.30

9060 SHEPPARD'S EXCLUSIVE CLEANERS dba 0.30 0.00 0.30

9073 WHITE SWAN CLEANERS 0.40 0.00 0.40

9078 CONTINENTAL CLEANERS II dba

9083 NUNNERY'S EXCLUSIVE CLEANERS 0.20 0.54 0.74

9086 SEABREEZE ENTERPRISE TNC dba 1.05 0.00 1.05

9089 J & M PRO CLEANERS CORP 0.32 0.00 0.32

9092 ELLIS CLEANERS dba 0.23 0.00 0.23

9093 COUSINS CLEANERS dba 0.40 0.00 0.40

9094 DRY CLEAN SUPER CENTER OF 2.10 0.00 2.10

9096 CRAZY CLEANERS dba 0.58 0.00 0.58

9097 XEDO, INC

9303 FINE CLEANERS 0.00 1.07 1.07

9304 MILLINGTON LAUNDRY CLEANERS 0.00 3.09 3.09

9305 DRAKE CLEANERS 0.00 0.43 0.43

9307 GUY'S CLEANERS 0.00 0.73 0.73

Totals 16.33 5.86 22.19

In addition, t he VOC emissions associated with dry cleaning in Shelby County, Tennessee a re calculated using one

of the equations indicated below

. For d ry cleaning facilities using perchloroethylene , VOC emissions are determine d

as follows :

VOC emissions (tons) = ( Perchloroethylene Usage gallons) ( 0.005 tons/lbs)

And, for dry cleaning facilities using petroleum

, VOC emissions are determined as follows :

VOC emissions (tons) = ( Petroleum Usage gallons) (0.0033 tons/lbs)

As indicated in the table, total VOC emissions from this category result from summing all of the perc hloroethylene

amounts and all of the petroleum amounts then adding these totals together to yield a 2012 Dry cleaning VOC

emissions total of 22.19 tons.

Page | 113The Summer Season Day VOC emissions associated with this category are determined, as follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

Where

Annual Emissions = 22.19 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5days/ week

Substituting this informat ion into the equation gives

= (22.19 tons/year) (1)/ (5 days/week) (52 weeks)

= 0.08535 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 114Graphic Arts (SCC 2425000000)

Source Category Description Overview:

Graphic Arts emissions result from applying a thin layer of coating (e.g. paint, lacquer, enamel, varnish, etc.) to

the surface of an industrial object for decorative purposes. The coating products, which are solvent

- based, emit

VOC emissions as the result of solvent evaporation during the drying or curing process.

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Emissions Factor for VOC, used in the 2 011 NEI as determined by ERTAC, is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per capita) Reference

VOC 4.4 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with graphic arts in Shelby County, Tennessee were calculated using the per capita

emission factor of 0.0064 lbs VOC/capita/year and the 2012 Shelby County population. Emissions estimate for

volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 persons) ( 4 .4 lbs VOC/person/year) (1ton/2000 lbs)

= 206 3

. 0786 tons/year

However, b ecause this category has a point source component, point source subtraction is necessary. According to

e mission inventory records only two point sources were included in the point source emissions inventory submitted

in this plan that engage in graphic art s activities, Johnson Bryce, Inc. and the Bryce Company, LLC; and their

combined VOC emissions are 124,73 tons. Subtracting this amount from the VOC emissions estimate determined

above yields,

Emissions of VOC = (206 7

. 73

– 124.73 tons)

=19 37.3486 tons

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 19 37

. 3486 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= ( 19 37

. 3486 tons/year) (1)/ ( 7 days/week) (52 weeks/ year)

= 5.3 251 tons/day

Page | 115Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future y ears

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: http://www.census.gov/econ/cbp/download/12_data

Page | 116Consumer Personal Care Products ( 2460100000)

Source Category Description Overview:

Consumer Personal Care Products emissions result from the evaporation of the solvent contained in the product

or from the propellant

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presen ted in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per capita) Reference

VOC 1.9 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with consumer personal care products in Shelby County, Tennessee were calculated

using the per capita emission factor of 1.9 lbs VOC/capita/year and the 2012 Shelby County population. Emissions

estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 persons) (1.9 lbs VOC/person/year) (1ton/2000 lbs)

= 89 0

. 8749 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 89 0

. 9749 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (89 0

. 8 749 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 2.4 475 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Page | 11 7Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Interne t Address: http://www.census.gov/econ/cbp/download/12_data

Page | 118Consumer Household Cleaning Products ( 2460200000)

Source Category Description Overview:

Household Cleaning Products; emissions result from the evaporation of the solvent contained in the product or

from the propellant

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No co ntrols were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per capita) Reference

VOC 1.8 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with consumer personal care products in Shelby County, Tennessee were calculated

using the per capita emission factor of 1. 8 lbs VOC/capita/year and the 2012 Shelby County population. Emissions

estimate for volatile organic compou nds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 persons) (1.8 lbs VOC/person/year) (1ton/2000 lbs)

= 84 3

. 9 8 67 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 843.9867 t ons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= ( 843.9867 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 2.3 186 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Page | 119Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: http://www.census.gov/econ/cbp/download/12_data

Page | 120Auto Aftermarket Products ( 2460400000)

Source Category Description Overview:

Auto Aftermarket Products emissions result from the evaporation of the solvent contained in the product or from

the propellant

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per ca pita) Reference

VOC 1.36 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with consumer personal care products in Shelby County, Tennessee were calculated

using the per capita emission factor of 1.36 lbs VOC/capita/year and the 2012 Shelby County population. Emissions

estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= ( 937,763 persons) ( 1.36 lbs VOC/person/year) (1ton/2000 lbs)

= 637.6788 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 63 7

. 6788 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= ( 637.6788 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 1.75 19 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Page | 121Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: http://www.census.gov/econ/cbp/download/12_data

Page | 122Coatings and Related Products ( 2460500000)

Source Category Description Overview:

Coatings and Related Products emissions result from the evaporation of the solvent contained in the product or

from the propellant

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presen ted in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per capita) Reference

VOC 0.95 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with consumer personal care products in Shelby County, Tennessee were calculated

using the per capita emission factor of 0.95 lbs VOC/capita/year and the 2012 Shelby County population. Emissions

estimate for volatile organic com pounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 persons) ( 0.95 lbs VOC/person/year) (1ton/2000 lbs)

= 443.4374 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 44 3

. 4 374 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ wee k

Substituting this information into the equation gives

= ( 443.4374 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 1.22 37 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Page | 123Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: http://www.census.gov/econ/cbp/download/12_data

Page | 124Adhesives and Sealants ( 2460600000)

Source Category Description Overview:

Adhesives and Sealants emissionsresult from the evaporation of the solvent contained in the product or from the

propellant

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per capita) Reference

VOC 0.57 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with consumer personal care products in Shelby County, Tennessee were calculated

using the per capita emission factor of 0.57 lbs VOC/capita/year and the 2012 Shelby County population. Emissions

estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= ( 937,763 persons) ( 0.57 lbs VOC/person/year) (1ton/2000 lbs)

= 267. 2625 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 267.2625 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= ( 267.2625 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.73 42 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Page | 125Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: <http://www.census.gov/econ/cbp/download/12_data>

Page | 126FIFRA Regulated Products

Source Category Description Overview:

FIFRA Regulated Products emissions, 2460800000 , result from the evaporation of the solvent contained in the

product or from the propellant

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per capita) Reference

VOC 1.78 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with consumer personal care products in Shelby County, Tennessee were calculated

using the per capita emission factor of 1.78 lbs VOC/capita/year and the 2012 Shelby County population. Emissions

estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= ( 937,763 persons) (1.78 lbs VOC/person/year) (1ton/2000 lbs)

= 83 4

. 6091 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 834.6091 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= ( 834.6091 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 2.29 29 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Ene rgy

Page | 127Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth met hodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: <http://www.census.gov/econ/cbp/download/12_data>

Page | 128Miscellaneous Products

Source Category Description Overview:

Miscellaneous Products emissions, 2460900000, result from the evaporation of the solvent contained in the product

or from the propellant

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Weekly activity, WAF = 7 days/week

3. Seasonal Adjustment factor, SAF = 1

4. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/yr/per capita) Reference

VOC 0.07 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with consumer personal care products in Shelby County, Tennessee were calculated

using the per capita emission factor of 0.07 lbs VOC/capita/year and the 2012 Shelby County population. Emissions

estimate for volatile organic co mpounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= ( 937,763 persons) ( 0.07 lbs VOC/person/year) (1ton/2000 lbs)

= 32.8217 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 32.8217 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (32.8 217 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.090 2 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Page | 129Outlook (AEO) projections a nd the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, r efer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: <http://www.census.gov/econ/cbp/download/12_data>

Page | 130Pesticide Application (All FIFRA Related Products FIFRA)

Source Category Description Overview:

Pesticide Application emissions, 2461800000, result from the evaporation of the solvent contained in the product or

from the propellant

Assumptions :

County harvested acres and active ingredient per acre emissions factor provide a representative method to estimate

local emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. Harvested acres 1

– 52,770

2. Weekly activity, WAF = 7 days/week

3. Seasonal Adjustment factor, SAF = 1

4. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/ acre ) Reference

VOC 1.59 ERTAC Emissions Factors

Calculation Methodology:

The VOC emissions associated with consumer personal care products in Shelby County, Tennessee were calculated

using the per capita emission factor of 1. 59 lbs VOC/ acre /year and the 2012 Shelby County population. Emissions

estimate for volatile organic compounds, VOC, is determined as follows:

Emissions of VOC = ( Shelby County population ) (Emission Factor) (pound

- to

- ton conversion)

= ( 69,200 acres ) (1. 59 lbs /acres /year) (1ton/2000 lbs)

= 55.014 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 55.014 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (55.014 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.1511 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Page | 131Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor f or projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. Census of Agriculture , US Department of Agriculture

. Internet Address:

< http://www.agcensus.usda.gov/Publications/2012/Full_Report/Volume_1,_Chapter_2_County_Level/Tennessee/>

Page | 132Cutback Asphalt Paving (SCC 2461021000)

Source Category Description Overview:

Cutback asphalt is a type of liquefied road surface that is prepared by blending or "cutting back" asphalt cement with

various kinds of petroleum distillates. VOC emissions occur as the asphalt cures.

Assumptions :

Consumption data and per barrel emissions factor provide a representa tive method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Emulsified Asphalt Usage data for PADD II Midwest, Midwest East

– 25,289 short tons 1

2. 2012 VMT for PADDII Midwest, Midwest East, source FHWA Highway Statistics 1

Table : 2012 PADDII State Asphalt Usage and related VMT

State PADD II Midwest East VMT (million miles)



### Illinois 144,337

Indiana 97,288

Kentucky 79,321

Michigan 122,051

Ohio 123,281

Tennessee 955,23

Total 

### 661,801

3. 2012 Shelby County, Tennessee VMT total for all roadways, source TDOT 2

– 8,818,143,040 miles

4. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presented in the table below

Table : 2011NEI Emissions Factors

Pollutant Emissions Factor (lbs/barrel) Reference

VOC 88 ERTAC Emissions Factors

Calculation Methodology:

The Asphalt Institute tracks asphalt usage data for the United States and Canada. According to this database,

Tennessee cutback asphalt usage data, which is represented in the PADD II Midwest East District, is aggregated

with similar data for the states of Illinois, I ndiana, Kentucky, Michigan, Ohio, and Tennessee. To isolate the

Tennessee portion of this aggregate number, the 2012 PADDII Midwest East Cutback Asphalt Usage total of

293,352 tons is multiplied by the ratio of the annual 2012 Tennessee VMT over the annual 2012 VMT for all of the

states represented in PADD II Midwest East District (which again is Illinois, Indiana, Kentucky, Michigan, Ohio,

and Tennessee). The VMT data used for this analysis is provided in the Federal Highway Administration’s (FHWA)

annual 2012 Highway Statistics report. The Tennessee Cutback Asphalt Usage is calculated as follows:

Tennessee Emulsified Asphalt Usage = ( 25,289 tons/ 661,801 PADD II ADVMT)*(95,523 (TN ADVMT)

= 3,650.16 TN

- tons

Page | 133Using the state usage estimate, the county

- level Cutback Asphalt Usage is determined by multiplying the ratio of

2012 County VMT over annual 2012 Tennessee VMT as follows:

Shelby County Cutback Asphalt Usage = ( 3,650.16 TN

- tons/ 95,523 TN ADVMT) * (8,818 .14 Shelby ADVMT)

= 336.96 Shelby

- tons

Or converting to barrels

= ( 336.96 tons) (2000 lbs/ 1 tons) (1/8.34 lbs/gal) (1/42 gal/barrels)

= 1,923.96 barrels

Finally, using the county cutback asphalt usage estimate, the VOC emissions associated with cutback asphalt usage

in Shelby County, Tennessee is calculated as follows:

Emissions of VOC = (Shelby County Cutback Asphalt) (Emission Factor) (pound

- to

- ton conversion)

= ( 1,923.96 barrels) ( 88 lbs VOC/barrels/year) (1ton/2000 lbs)

= 84.65 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks )

where

Annual Emissions = 84.65 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (84.65 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.2326 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Ene rgy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equa tion illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. The Asphalt Institute, 2012 Asphalt Usage Survey, For the United States and Canada

,

. < http://www.asphaltinstitute.org >

Page | 1343. Tennessee Department of Transportation, Highway Performance Monitoring System : HPMS DVMT Rural and

Urban by County, . < http://www.tn.gov/tdot/topic/hpms>

Page | 135Emulsified Asphalt Paving (SCC 2461022000)

Source Category Description Overview:

Emulsified asphalt is a type of liquefied road surfacing material made from a blend of water with an emulsifier.

VOC emissions occur as the asphalt cures.

.

Assumptions :

Consumption data and per barrel emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Emulsified Asphalt Usage data for PADD II Midwest, Midwest East

– 293,352 short tons 1

2. 2012 VMT for PADDII Midwest, Midwest East , source FHWA Highway Statistics 1

Table : 2012 PADDII State Asphalt Usage and related VMT

State PADD II Midwest East VMT (million miles)

Illinois 144,337

Indiana 97,288

Kentucky 79,321

Michigan 122,051

Ohio 123,281

Tennessee 955,23

Total 661,801

3. 2012 Shelby County, Tennessee VMT total for all roadways , source TDOT 2

– 8,818,143,040 miles

4. Emissions Factor for VOC, used in the 2011 NEI as determined by ERTAC, is presented in the table below

Table : 2011NEI Emissions Factors

Pollutant Emissions Factor (lbs/barrel) Reference

VOC 9.2 ERTAC Emissions Factors

Calculation Methodology:

The Asphalt Institute tracks asphalt usage data for the United States and Canada. According to this database,

Tennessee emulsified asphalt usage data , which is represented in the PADD II Midwest East District

, is aggregated

with similar data for the states of Illinois, Indiana, Kentucky, Michigan, Ohio, and Tennessee

. To isolate t he

Tennessee portion of this aggregate number, the 2012 PADDII Midwest East Emul sified Asphalt Usage total of

293,352 tons is multiplied by the ratio of the annual 2012 Tennessee VMT over the annual 2012 VMT for all of the

states represented in PADD II Midwest East District (which again is Illinois, Indiana, Kentucky, Michigan, Ohio,

and Tennessee)

. The VMT data used for this analysis is provided in the Federal Highway Administration’s (FHWA)

annual 2012 Highway Statistics report

. The Tennessee Emulsified Asphalt Usage is calculated as follows:

Tennessee Emulsified Asphalt Usage = (293,352.00 tons/ 661,801 PADD II ADVMT)*(95,523 (TN ADVMT)

= 42,341.83 TN

- tons

Page | 136Using th e state emulsified asphalt usage estimate, the county

- le vel Emulsified Asphalt Usage is determined by

multiplying the ratio of 2012 C ounty VMT over a nnual 2012 Tennessee VMT as follows:

Shelby County Emulsified Asphalt Usage = (42,341.83 TN

- tons/ 95,523 TN ADVMT) * (8,818.14 Shelby ADVMT)

= 3908.76 Shelby

- tons

Or converting to barrels

= (3908.76 tons) (2000 lbs/ 1 tons) (1/8.34 lbs/gal) (1/42 gal/barrels)

= 22,317.91 barrels

Finally, using the county emulsified asphalt usage estimate, t he VOC emissions associated with emulsified asphalt

usage in Shelby County, Tennessee is calculated as follows:

Emissions of VOC = (Shelby County Emulsified Asphalt) (Emission Factor) (pound

- to

- ton conversion)

= ( 22,317.91 barrels ) ( 9.2 lbs VOC/ barrels /year) (1ton/2000 lbs)

= 102.66 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 102.66 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substitut ing this information into the equation gives

= ( 102.66 tons/year ) 910/(7 days/week) (52 weeks/ year)

= 0.282039522 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

F uture year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 137References:

1. The Asphalt Institute, 2012 Asphalt Usage Survey, For the United States and Canada

, . < http://www.asphaltinstitute.org>

2. Tennessee Department of Transportation, Highway Performance Monitoring System : 2012 HPMS DVMT Rural

and Urban by County

, < http://www.tn.gov/tdot/topic/hpms>

Page | 138Residential Portable Fuel Container (SCC 2501011013)

Source Category Description Overview:

Portable fuel container emissions result from five different events related to gas container use: permeation, diurnal,

transport

- spillage, refueling spillage and refueling vapor displacement emission s.

Assumptions :

The number of households and activity based emissions factor provide a representative method to estimate local

emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. Number of occupied residential housing units in Shelby County during 2012, 350,971

2. Results of residential household survey (note this survey was borrowed from CARB)

Percentage of Households with at Least One Gas Can 46% 54%

Number

- of

- Gas

- Cans per Household 1.8

Percentage of Plastic

- Gas Cans 76%

Percentage of Metal

- Gas Cans 24%

Weighted Average Gas Can Capacity (gal.) 2.34

Percentage of Gas Cans Stored With Fuel 70%

Weighted Average Stored Fuel Volume (% of Total Capacity) 49%

Percentage of Plastic

- Gas Cans Stored Open 23%

Percentage of Plastic

- Gas Cans Stored Closed 53%

Percentage of Metal

- Gas Cans Stored Open 11%

Percentage of Metal

- Gas Cans Stored Closed 13%

Percentage of All Gas Cans Stored Open 34%

Percentage of All Gas Cans Stored Closed 66%

2. Control Efficiency, CE; CE = 46% 5

3. Rule Effectiveness, RE; RE = 80% 6

4. Rule Penetration, RP; RP = 100%

Calculation Methodology:

The following equations are used to calculate the emissions for residential portable fuel containers, as follows:

Residential Gas

- Cans.

The following equation was used to calculate the residential gas

- can population for Shelby County :

Pop R = (N)(A)(CountR)

Where:

Pop R = number of residential gas

- cans,

N = number of occupied housing units in Shelby County, 350,971

A = percentage of households with gas

- cans (46%),

Count R = average number of residential gas

- cans per household (1.8).

Page | 139A sample calculation of the number of residential gas

- cans in Shelby County in 2005 is as follows:

Pop R = ( 350,971 )(0.46)(1.8)

Pop R = 341,143.812 g as

- cans

Permeation emissions are produced after fuel has been stored long enough in a can for fuel to infiltrate and

saturate the can ma

The following equation was used to calculate the uncontrolled permeation emissions from residential gas

- cans:

HC PR = Pop R x S x EF P x B R x Size R x Level x CF

Where:

HC PR = permeation emissions in pounds per day,

Pop R = residential gas

- can population, 341,143.812gas

- cans

EF P = appropriate permeation emission factor with respect to material (plastic 1.57 g/gal

- day; metal 0.06 g/gal

- day),

S = percentage of gas

- cans stored with fuel (70%),

B R = percentage of cans stored in closed condition with respect to material (plastic 53%; metal 13%),

Size R = weighted average capacity of residential gas

- cans (2.34 gallons),

Level = weighted average amount of stored fuel (49%),

CF= conversion factor 908,105 gram per ton

.

A sample calculation estimating the uncontrolled permeation emissions from plastic residential gas

- cans in Shelby

County is as follows:

HC PR(PLASTIC) = 341,143.812 x 0.70 x 1.57 x 0.53 x 2.34 x 0.49 x 1/908,105

HC PR(PLASTIC) = 0.250892068 tons/year

A sample calculation estimating the uncontrolled permeation emissions from metal reside ntial gas

- cans in Shelby

County is as follows:

HC PR(METAL) = 341,143.812 x 0.70 x 0.06 x 0.13 x 2.34 x 0.49 x 1/908,105

HC PR(METAL) = 0.061539564 tons/year

Total uncontrolled permeation emissions from plastic and metal residential gas

- cans in Shelby Cou nty is as follows:

HC PR = 0.250892068 + 0.061539564 tons/year

HC PR = 0.312431631 tons VOC per year

.

The Summer Season Day VOC emissions estimate associated with this category is determined, as follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 0.3124 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (0. 0.3124 tons/year tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0. 0.000858329 tons/day

Page | 140Diurnal emissions result when stored fuel vapors escape to the ambient air through openings while the gas

- can is

subjected to the daily cycle of increasing and decreasing ambient temperat ures. Diurnal emissions vary depending

on a number of factors including the material the gas

- can is made of, and whether the gas can is properly sealed

(i.e. whether or not the vents, breathing holes or nozzle are tightly closed on the gas

- can).

Uncontrol led diurnal emissions from both open and closed residential gas

- cans were calculated as follows:

HC DR = Pop R x S x EF D x B R x Size R x Level x CF

Where:

HC DR = uncontrolled diurnal emissions expressed in pounds per day for residential gas

- cans with respect to storage

condition (open or closed) and material (plastic or metal),

Pop R = statewide residential gas

- can population, 341,143.812gas

- cans

S= percentage of gas

- can population stored with fuel (70%),

EF D = appropriate diurnal emission factor wit h respect to storage condition and material (closed plastic 1.38 g/gal

day; closed metal 0.44 g/gal

- day; or open 21.8 g/day applies for both metal or plastic),

B R = percentage of gas

- can population with respect to storage condition and material (plastic o pen 23%, closed

53%; metal open 11%, closed 13%),

Size R = weighted average capacity of residential gas

- cans (2.34 gal.),

Level = weighted average amount of stored fuel (49%),

CF = conversion factor 908,105 gram per ton

.

A sample calculation estimating uncontrolled diurnal emissions from properly closed plastic residential gas

- cans in

Shelby County is as follows:

HC DR(PLASTIC) = 341,143.812 x 0.7 x 1.38 x 0.53 x 2.34 x 0.49 x 1/908,105

HC DR(PLASTIC) = 0.220529333 tons/year

A sample calculation estimating uncontrolled diurnal emissions from properly closed metal residential gas

- cans in

Shelby County is as follows:

HC DR(METAL) = 341,143.812 x 0.7 x 0.44 x 0.13 x 2.34 x 0.49 x 1/908,105

HC DR(METAL) = 0.017246757 tons/year

A sample calculation estimating uncontrolled diurnal emissions from open plastic residential gas

- cans in

Shelby County is as follows:

HC DR P (OPEN) = 341,143.812 x 0.7 x 21.8 x 0.23 x 2 .34 x 049 x 1/908,105

HC DR P (OPEN) = 1.511804864 tons/year

.

A sample calculation estimating uncontrolled diurnal emissions from open metal residential gas

- cans in Shelby

County is as follows:

HC DRM(OPEN) = 341,143.812 x 0.7 x 21.8 x 0.11 x 2.34 x 049 x 1/908,105

HC DRM(OPEN) = 0.723037109 tons/year.

The t otal uncontrolled diurnal emissions from open and closed residential gas cans in Shelby County is determined

as follows:

HC DR = 0.220529333 + 0.017246757 + 1.511804864 + 0.723037109

HC DR = 2.472618063 tons/year

.

Page | 141The Summer Season Day VOC emissions e stimate associated with this category is determined, as follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 2.473 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (2.473 tons/year tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.00679 tons/day

Transport

- spillage emissions arise when fuel escapes (e.g. spill, etc.) from gas

- cans while in transit.

The uncontrolled emissions from the transport

- spillage of residential gas

- cans were determine using the following

equation:

HC TR = Pop R x S x Refill R x EF T x B R x CF

Where:

HC TR = uncontrolled residential gas

- can transport spillage emissions,

Pop R = statewide residential gas

- can population , 341,143.812

S = percentage of gas

- cans stored with fuel (70%)

Refill R = average number of residential gas

- cans

- pump

- refills per day per

can (0.0174 gas

- can refill/day)

EF T = transport emission factor with respect to storage condition; 23.0

grams per gas

- can refill (g/refill) for a closed gas

- can, and 32.5

B R g/refill for an open gas can)

= percentage of gas

- cans with respect to storage condition (open

34%, and closed 66%),

CF

= conversion factor 908,105 gram per ton

.

A sample calculation estimating uncontrolled transport

- spillage emissions from properly closed residential

gas

- cans in Shelby County is as follows:

HC TR(CLOSED) = 341,143.812 x 0.7 x 0.0174 x 23.0 x 0.66 x 1/908,105

HC TR(CLOSED) = 0.069457715 tons/year

A sample calculation estimating uncontrolled transport

- spillage emissions from open residential gas

- cans in

Shelby County is as follows:

HC TR(OPEN) = 341,143.812 x 0.7 x 0.0174 x 32.5 x 0.34 x 1/908,105

HC TR(OPEN) = 0.050560458 tons/year

.

Total uncontrolled transport

- spillage emissions from plastic and metal residential gas

- cans in Shelby County is as

follows:

HC DR = 0.069457715 + 0.050560458

HC DR = 0.120018173 tons/year

.

Page | 142The Summer Season Day VOC emissions estimate associated with this category is determined, as follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 0.12002 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (0.12002 tons/year tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0. 0.00032972 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1

. Occupied Residential Housing Units 20 12 , US Census Bureau

2

. Total 2011 Employment and business establishments by 6 digit NAICS code and by county , US Census

Bureau

3

. Procedures for the Preparation of Emission Inventories for Carbon Monoxide and Precursors of Ozone,

Vol. I: General Guidance for Stationary Sources, May 1991, United States Environmental Protection Agency, Office

of Air Quality Planning an d Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

Page | 143Commercial Portable Fuel Container (SCC 2501011013)

Source Category Description Overview:

Portable fuel container emissions result from five different events related to gas container use: permeation, diurnal,

transport

- spillage, refueling spillage and refueling vapor displacement emissions.

Assumptions :

The number of commercial businesses using gas cans and activity based emissions factor provide a representative

method to estimate local emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. Number of commercial businesses in 20 1 2 expected to have at least one gas can by county

naics est naicstxt

11

---- 9 Forestry, Fishing, Hunting, and Agriculture Support

23

---- 1125 Construction

31

---- 579 Manufacturing

321/// 28 Wood Product Manufacturing

322/// 14 Paper Manufacturing

323/// 90 Printing and Related Support Activities

324/// 9 Petroleum and Coal Products Manufacturing

325/// 56 Chemical Manufacturing

3251// 13 Basic Chemical Manufacturing

326/// 18 Plastics and Rubber Products Manufacturing

3261// 16 Plastics Product Manufacturing

327/// 29 Nonmetallic Mineral Product Manufacturing

3272// 2 Glass and Glass Product Manufacturing

331/// 8 Primary Metal Manufacturing

3311// 2 Iron and Steel Mills and Ferroalloy Manufacturing

332/// 98 Fabricated Metal Product Manufacturing

3321// 3 Forging and Stamping

3324// 5 Boiler, Tank, and Shipping Container Manufacturing

33242/ 2 Metal Tank (Heavy Gauge) Manufacturing

3325// 1 Hardware Manufacturing

3326// 2 Spring and Wire Product Manufacturing

3327// 23 Machine Shops; Turned Product; and Screw, Nut, and Bolt Manufacturing

33271/ 21 Machine Shops

3328// 7 Coating, Engraving, Heat Treating, and Allied Activities

3329// 14 Other Fabricated Metal Product Manufacturing

33291/ 4 Metal Valve Manufacturing

333/// 36 Machinery Manufacturing

3331// 1 Agriculture, Construction, and Mining Machinery Manufacturing

44

---- 3053 Retail Trade

441/// 307 Motor Vehicle and Parts Dealers

4411// 118 Automobile Dealers

447/// 391 Gasoline Stations

45299/ 155 All Other General Merchandise Stores

484/// 265 Truck Transportation

4841// 194 General Freight Trucking

488/// 223 Support Activities for Transportation

4881// 28 Support Activities for Air Transportation

493/// 110 Warehousing and Storage

53131/ 205 Real Estate Property Managers

5321// 74 Automotive Equipment Rental and Leasing

532291 6 Other Consumer Goods Rental

5323// 12 General Rental Centers

5324// 32 Commercial and Industrial Machinery and Equipment Rental and Leasing

Page | 144naics est naicstxt

54132/ 10 Landscape Architectural Services

54162/ 19 Environmental Consulting Services

54169/ 17 Other Scientific and Technical Consulting Services

56173/ 191 Landscaping Services

71391/ 15 Golf Courses and Country Clubs

71393/ 2 Marinas

7212// 4 RV (Recreational Vehicle) Parks and Recreational Camps

811/// 450 Repair and Maintenance

81293/ 42 Parking Lots and Garages

Total 8138

Thus, the t otal number of commercial businesses that are non

- lawn and garden is 7937 and the total number of

commercial businesses that are lawn and garden is 201.

3. Control Efficiency, CE; CE = 46% 5

4. Rule Effectiveness, RE; RE = 80% 6

5. Rule Penetration, RP; RP = 100%

Calculation Methodology:

The following equations are used to calculate the emissions for residential portable fuel containers, as follows:

The following equation was used to calculate the commercial gas

- can population for Shelby County:

PopC = (NC )( CountC)(A)

Where:

Pop C = statewide commercial gas

- can population,

N C = number of occupied businesses in each county,

Count C = average number of gas

- cans per business (6.9)

A = percentage of businesses with gas

- cans (80%).

A sample calculation of the number of residential g as

- cans in Shelby County in 2005 is as follows:

Pop C = (8138)(6.9)(0.8)

Pop C = 44921.76 gas

- cans

Permeation

- The following equation was used to calculate the uncontrolled permeation emissions from

commercial gas

- cans:

HC PC = Pop C x S x EF P x B C x Size C x Level x CF

Where:

HC PC = uncontrolled permeation Emissions in pounds per day,

Pop C = residential gas

- can population, 44921.76 gas

- cans

EF P = appropriate permeation emission factor with respect to material

(plastic 1.57 g/gal

- day; metal 0.06 g/gal

- day),

S = percentage of gas

- cans stored with fuel (70%),

B C = percentage of cans stored in closed condition with respect to

Size C material (plastic 33%; metal 18%),

= weighted average capacity of residential gas

- cans (3.43 gallons),

Level = weighted average amount of stored fuel (49%),

CF = conversion factor 908,105 gram per ton.

Page | 145A sample calculation estimating the uncontrolled permeation emissions from plastic commercial gas

- cans in

Shelby County is as follows:

HC PC(PLASTIC) = 44921.76 x 0.70 x 1.57 x 0.33 x 3.43 x 0.49 x 1/908,105

HC PC(PLASTIC) = 0.030152445 tons/year

A sample calculation estimating the uncontrolled permeation emissions from metal commercial gas

- cans in Shelby

County is as follows:

HC PC(METAL) = 44921.76 x 0.70 x 0.06 x 0.18 x 3.43 x 0.49 x 0.002205

HC PC(METAL) = 0.00062854 tons/year

Total uncontrolled permeation emissions from plastic and metal residential gas

- cans in Shelby County is as follows:

HC PC = 0.030152445 + 0.00062854

HC PC = 0.030780984 tons/year

.

The Summer Season Day VOC emissions estimate associated with this category is determined, as follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 0.030780984 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (0. 0.030780984 tons/year tons/year) (1)/ (7 days/week) (52 weeks/

year)

= 0. 0.00008456 tons/day

Diurnal

- Uncontrolled diurnal emissions from both open and closed commercial gas

- cans were calculated

as follows 

### :

HC DC = Pop C x S x EF D x B C x Size C x Level x CF

Where:

HC DC = uncontrolled diurnal emissions expressed in pounds per day for

commercial gas

- cans with respect to storage condition (open or

closed) and material (plastic or metal),

Pop C = statewide commercial gas

- can population,

S = percentage of gas

- can population stored with fuel (70%),

EF D = appropriate diurnal emission factor with respect to storage

condition and material (closed plastic 1.38 g/gal

- day; closed metal

0.44 g/gal

- day; or open 21.8 g/day applies for both metal or

plastic),

B C = pe rcentage of gas

- can population with respect to storage condition

and material (plastic open 39%, closed 33%; metal open 10%,

closed 18%),

Size C = weighted average capacity of commercial gas

- cans (3.43 gal.),

Level = weighted average amount of stored fuel (49%),

CF = conversion factor 908,105 gram per ton.

Page | 146A sample calculation estimating uncontrolled diurnal emissions from properly closed plastic commercial gas

- cans in

Shelby County is as follows:

HC DC(PLASTIC) = 44921.76 x 0.7 x 1.38 x 0.33 x 3.43 x 0.49 x 1/908,105

HC DC(PLASTIC) = 0.031322227 tons/year

A sample calculation estimating uncontrolled diurnal emissions from properly closed metal commercial gas

- cans in

Shelby County is as follows:

HC DC(METAL) = 44921.76 x 0.7 x 0.44 x 0.18 x 3.43 x 0.49 x 0.002205

HC DC(METAL) = 0.004609291 tons/year

A sample calculation estimating uncontrolled diurnal emissions from an open plastic commercial gas

- cans in

Shelby County is as follows:

HC DC(OPEN) = 44921.76 x 0.7 x 21.8 x 0.49 x 0.002205

HC DC(OPEN) = 0.494800394 tons/year

A sample calculation estimating uncontrolled diurnal emissions from an open metal commercial gas

- cans in Shelby

County is as follows:

HCDC (OPEN) = 44921.76 x 0.7 x 0

. 44 x 0.49 x 0.002205

HCDC (OPEN) = 0.004609291 tons/year

Total uncontrolled diurnal emissions from open and closed residential gas

- cans in Shelby County is as follows:

HC DC = 0.031322227 + 0.004609291 +0.494800394 + 0.126871896

HC DC = 0.657603808 tons/year

The Summer Season Day VOC emissions estimate associated with this category is determined, as follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 0.657603808 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (0.657603808 tons/year tons/year) (1)/ (7 days/week) (52 weeks/

year)

= 0.001806604 tons/day

Transport

- spillage emissions factors for commercial gas

- cans are expected to be the same as those for residential

gas

- cans: 23.0 g/refill per can for a closed container, and 32.5 g/refill per can for an open container. The refueling

of gas

- cans used for commercial lawn and garden equipment occurs much more frequently than gas

- cans used to

refuel other commercial equipment. In fact the frequency of gas

- cans used for the refueling of commercial lawn and

garden equipment are estimated to occur 0.964 times per day while gas

- can s used for non

- lawn and garden

commercial equipment are estimated to be refilled only 0.12 times per day. 37 For this reason the differences in

refilling activity between commercial lawn and garden equipment, and non

- lawn and garden equipment were

accounted for when estimating transport

- spillage emissions.

Page | 147All businesses associated with NAICS 541320 “Landscape Architectural Services” were assumed to operate

commercial lawn and garden equipment. All other businesses were not. Table 4.6.14

- 1 contains the number of gas

cans per county that were assumed to refuel commercial lawn and garden equipment.

The uncontroll ed emissions from the transport

- spillage of commercial gas

- cans were determine using the

following equation:

HC TC = Pop C x S x Refill C x EF T x B C x CF

Where:

HC TC = uncontrolled commercial gas

- can transport spillage emissions,

expressed in pounds per day

Pop C = gas

- can population used to refuel commercial lawn and garden

equipment or non

- lawn and garden equipment, 7937 gas

- cans

S = percentage of gas

- cans stored with fuel (70%)

Refill C = average number of commercial gas

- cans

- pump

- refills per day

per can (0.964 refill/day for commercial lawn and garden

equipment or 0.12 refill/day for non

- lawn and garden

commercial equipment)

EF T = transport emission factor with respect to storage condition; 23.0

grams per gas

- can refill (g/refill) for a closed gas

- can, and 32.5

B C g/refill for an open gas can)

= percentage of gas

- cans with respect to storage condition (open

49%, and closed 51%),

CF = conversion factor 0.002205 pounds per gram.

A sample calculation estimating uncontrolled transport

- spillage emissions from properly closed gas

- cans used to

refuel commercial lawn and garden equipment in Shelby County is as follows:

HC TC(LawnClosed) = 1109.52 x 0.7 x 0.964 x 23.0 x 0.51 x 1/908105

HC TC(LawnClosed) = 0 .009671017 tons/ day

A sample calculation estimating uncontrolled transport

- spillage emissions from open gas

- cans used to refuel

commercial lawn and garden equipment in Shelby County is as follows:

HC TC(LawnOpen) = 1109.52 x 0.7 x 0.964 x 32.5 x 0.49 x 1 /908105

HC TC(LawnOpen) = 0.001634398 tons/ day

A sample calculation estimating uncontrolled transport

- spillage emissions from properly closed gas

- cans used to

refuel commercial non

- lawn and garden equipment in Shelby County is as follows:

HC TC(Non

- LawnClosed) = 43812.24 x 0.7 x 0.12 x 23.0 x 0.51 x 1/908105

HCTC( Non

- LawnClosed ) = 0.366909014 tons/ day

Page | 148A sample calculation estimating uncontrolled transport

- spillage emissions from an open gas

- cans used to refuel

commercial non

- lawn and gard en equipment in Shelby County is as follows:

HC TC(Non

- LawnOpen) = 43812.24 x 0.7 x 0.12 x 32.5 x 0.49 x 1/908105

HC TC(Non

- LawnOpen) = 0.047020826 tons/ day

Total uncontrolled transport

- spillage emissions from all commercial gas

- cans in Shelby County is as follows:

HC TC = 0.009671017 + 0.001634398 + 0.366909014 + 0.047020826

HC TC = 0.425235255 tons/ day

.

The Summer Season Day VOC emissions estimate associated with this category is determined, as follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 0.425235255 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= ( 0.425235255 tons/year tons/year) (1)/ (7 days/week) (52 weeks/

year)

= 0.001168229 tons/day

The total residential PFC emission estimate s are determined by combining the permeation, diurnal, and transport

estimates , as shown below.

Total PFC Res = (Permeation + Diurnal + Transport Spillage) Residential

= ( 0.000858329 + 0.006792907 + 0.00032972 + 0.00008456 + 0.001806604 + 0.001168229 ) tons/ day

= 0.007980956 tons/day

The total commercial PFC emission estimates are determined by combining the permeation, diurnal, and transport

estimates, as shown below.

Total PFC Com = (Permeation + Diurnal + Transport Spillage) Commercial = (0.030 2 + 0.0006 + 0.0313 + 0.0046 +0.4948+ 0.1269 + 0.0097 + 0.0016 + 0.3669 + 0.0470)

= 0.00305940 tons/day

Finally, total PFC emissions are determined by combining the total emissions estimates from both residential and

commercial as follows:

Total PFC= 0.007980956 + 0.00305940 tons/day = 0.01104035tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Page | 149Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 150Gasoline Marketing

- Stage I Submerged Filling (SCC 2501060051 

### )

Source Category Description Overview:

Gasoline marketing involves the operations typically associated with transporting gasoline from refineries to final

consumption in gasoline

- powered vehicles. Evaporative emissions of VOCs occur at all points in the distributi on

process. The Shelby County Health Department, Pollution Control Section, Field Services Branch permits and

inspects Stage I controls at gasoline stations throughout Shelby County. Stage I controls capture the displacement of

gasoline vapors from the storage tanks during the transfer of gasoline from tank trucks to storage tanks at the service

station.

Assumptions :

Total countywide gasoline throughput and activity based emissions factor provide a representative method to

estimate local emissions for this category.

Control Factor :

97% efficiency

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. 5% gasoline dispensed 1

– 21,739,862.60 gallons

2. Emissions Factor for VOC, which is provided in A P

- 42

, Table 5.2

- 7 ., is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor ( lbs/1000 gal/year ) Reference

VOC 7.3 AP

- 42

, Transportation And Marketing Of Petroleum

Liquids1, Table 5.2

- 7 3

Calculation Methodology:

The VOC emissions associated with Stage I in Shelby County, Tennessee calculated using the emission calculation

methodology provided in AP42, Chapter 5, Petroleum Industry, Section 5.2,Transportation and Marketing of

Petroleum Products and the throughput data acquired from the Field Services database, which maintains gasolin e

throughput data for all permitted gasoline stations in Shelby County. In 2012, the Field Services Branch recorded a

total throughput of 434,797,252 gallons for all permitted gasoline stations. According to Fields Services staff,

approximately 5 % of the s ervice stations that they inspect are s plash filled. Therefore, only 5 % of the gasoline

dispensed (434,797,252 x 0. 05 = 21,739,862.60 gallons) is considered in this calculation. VOC emissions estimate

for this category are determined as follows:

Emissions of VOC = (TGD) (EF) (CF) ((CE)(RP)(RE))

Where,

TGD = total gasoline dispensed per county per 1,000 gallons, 21,739,862.60 gallons

EF = emission factor, 7.3 lbs/1,000 gallons/year

CF = conversion factor, 1ton/2000 lbs

CE = control efficiency, 0.97

RP = ru le penetration, 0.99

RE = rule effectiveness, 0.95

= ( 21,739,862.60 gallons) ( 7.3 lbs/ 1000 gal/year) (1ton/2000 lbs)*(1

– (0.97*0.99*0.95))

= 79.35

– 72.39 tons/year

= 6.960 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Page | 151Annual Emissions = 6.960 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (6.960 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.0191 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 152Gasoline Marketing

- Stage I Splash Filling (SCC 2501060052 

### )

Source Category Description Overview:

Gasoline marketing involves the operations typically associated with transporting gasoline from refineries to final

consumption in gasoline

- powered vehicles. Evaporative emissions of VOCs occur at all points in the distribution

process. The Shelby County Health Department, Pollution Control Section, Field Services Branch pe rmits and

inspects Stage I controls at gasoline stations throughout Shelby County . Stage I controls capture the displacement of

gasoline vapors from the storage tanks during the transfer of gasoline from tank trucks to storage tanks at the service

station.

Assumptions :

Total countywide gasoline throughput and activity based emissions factor provide a representative method to

estimate local emissions for this category.

Control Factor :

97% efficiency

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. 5% of gasoline dispensed

– 21,739,862.60 gallons

2. Emissions Factor for VOC, which is provided in A P

- 42, Table 5.2

- 7., is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor ( lbs/1000 gal/year ) Reference

VOC 11.5 AP

- 42, Transportation And Marketing Of Petroleum

Liquids1, Table 5.2

- 7 3

Calculation Methodology:

The VOC emissions associated with Stage I in Shelby County, Tennessee are calculated using the emission

calculation methodology provided in AP42, Chapter 5, Petroleum Industry, Section 5.2,Transportation and

Marketing of Petroleum Products and the throughput data acquired from the Field Services database, which

maintains gasoline throughput data for all permitted gasoline stations in Shelby County. In 2012, the Field Services

Branch recorded a total throughput of 434,797,252 gallons for all perm itted gasoline stations. According to Fields

Services staff, approximately 5 % of the service stations that they inspect are submerge filled. Therefore, only 5 % of

the gasoline dispensed (434,797,252 x 0. 05 = 21,739,862.60 gallons) is considered in this cal culation. VOC

emissions estimate for this category are determined as follows:

Emissions of VOC = (TGD) (EF) (CF) ((CE)(RP)(RE))

Where,

TGD = total gasoline dispensed per county per 1,000 gallons, 21,739,862.60 gallons

EF = emission factor, 11.5 lbs/1,000 gallons/year

CF = conversion factor, 1ton/2000 lbs

CE = control efficiency, 0.97

RP = rule penetration, 0.99

RE = rule effectiveness, 0.95

= ( 21,739,862.60 gallons) ( 11.5 lbs/ 1000 gal/year) (1ton/2000 lbs)*(1

– (0.97*0.99*0.95))

= 125

– 114.04 tons/year

= 10.97 tons/year

Page | 153Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 10.97 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (10.97 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.0301 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the d ocument titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 154Gasoline Marketing

- Stage I Submerged Balanced Filling (SCC 2501060053 

### )

Source Category Description Overview:

Gasoline marketing involves the operations typically associated with transporting gasoline from refineries to final

consumption in gasoline

- powered vehicles. Evaporative emissions of VOCs occur at all points in the distribution

process. The Shelby County Health Department, Pollution Control Section, Field Se rvices Branch permits and

inspects Stage I controls at gasoline stations throughout Shelby County. Stage I controls capture the displacement of

gasoline vapors from the storage tanks during the transfer of gasoline from tank trucks to storage tanks at the service

station.

Assumptions :

Total countywide gasoline throughput and activity based emissions factor provide a representative method to

estimate local emissions for this category.

Control Factor :

97% efficiency

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. 90% of gasoline dispensed

– 391,317,526.8 gallons

2. Emissions Factor for VOC, which is provided in A P

- 42, Table 5.2

- 7., is presented in the table below \

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/ 1000 gal/year ) Reference

VOC 0.3 AP

- 42, Transportation And Marketing Of Petroleum

Liquids1, Table 5.2

- 7 3

Calculation Methodology:

The VOC emissions associated with Stage I in Shelby County, Tennessee are calculated using the emission

calculation methodology provided in AP42, Chapter 5, Petroleum Industry, Section 5.2,Transportation and

Marketing of Petroleum Products and the throughp ut data acquired from the Field Services database, which

maintains gasoline throughput data for all permitted gasoline stations in Shelby County. In 2012, the Field Services

Branch recorded a total throughput of 434,797,252 gallons for all permitted gasoli ne stations. According to Fields

Services staff, approximately 90% of the service stations that they inspect are balanced submerge filled. Therefore,

only 90% of the gasoline dispensed (434,797,252 x 0.90 = 391,317,526.8 gallons) is considered in this calc ulation.

VOC emissions estimate for this category are determined as follows:

Emissions of VOC = ( TGD ) (EF) ( CF ) ((CE)(RP)(RE))

Where,

TGD = total gasoline dispensed per county per 1,000 gallons, 391,317,526.8 gallons

EF = emission factor, 0.3 lbs/1,000 gallons/year

CF = conversion factor, 1ton/2000 lbs

CE = control efficiency, 0.97

RP = rule penetration, 0.99

RE = rule effectiveness, 0.95

= ( 391,317,526.8 gallons) ( 0.3 lbs/ 1000 gal/year) (1ton/2000 lbs) *(1

– (0.97*0.99*0.95))

= 58.70

– 53.55 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

Page | 155where

Annual Emissions = 10.97 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (5.149 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.0142 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 156Gasoline Distribution Stage I; Bulk Plants (SCC 2501055120)

Bulk Plants emissions shown in the table below were submitted to the Shelby County Health Department, Polluti on

Control Section (SCHD

- PCS) by each crematory in fulfillment of permit conditions which require periodic reporting

of emissions information. Furthermore, it is important to note that a “Responsible Company Official” is required to

signed a statement guar anteeing the accuracy of the emissions information submitted to SCHD

- PCS.

2012 Bulk Gasoline Distribution Plant Emissions

Source # Source Name NOx VOC CO

00084 Nexeo Solutions, LLC / formerly Ashland 0.00 5.67 0.00

00166 Exxon Mobil Oil Corporation (EMOC) 0.05 49.06 0.01

00187 Lion Oil Company

- Memphis Terminal 0.00 11.78 0.00

00376 Petroleum Fuel & Terminal Company 0.00 4.56 0.00

Totals 5.00 71.07 0.01

The Summer Season Day NOx emissions associated with this category are determined, as follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

Where

Annual Emissions = 5.00 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5days/ week

Substituting this information into the equation gives

= (5.00tons/year) (1)/ (5 days/week) (52 weeks)

= 0.01923tons/day

Summer Season Day Emissions Estimates for CO and VOC are determined in a similar manner and the results are

displayed along with NOx in the table below.

Table : 2011 Bulk Gasoline Distributio n Plant Summer Season Day Emissions Estimates

Pollutant Annual

Emissions

(ton)) Seasonal

Adjustment

Factor Weekly

Activity Factor Weeks

per

Year Summer Season

Day Emissions

Estimate

(tons/day)

NOx 5.00 1 5 52 0.01923

CO 71.07 1 5 52 0.27335

VOC 0.01 1 5 52 0.00004

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Page | 157Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 158Gasoline Marketing

- Underground Tank Breathing and Emptying (SCC 2501060201 

### )

Source Category Description Overview:

Gasoline marketing involves the operations typically associated with transporting gasoline from refineries to final

consumption in gasoline

- powered vehicles. Evaporative emissions of VOCs occur at all points in the di stribution

process. The Shelby County Health Department, Pollution Control Section, Field Services Branch permits and

inspects Stage I controls at gasoline stations. Stage I controls capture the displacement of gasoline vapors from the

storage tanks during the transfer of gasoline from tank trucks to storage tanks at the service station.

Assumptions :

Total countywide gasoline throughput and activity based emissions factor provide a representative method to

estimate local emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. total gasoline d ispensed 1

– 434,797,252 gallons

2. Emissions Factor for VOC, which is provided in A P

- 42, Table 5.2

- 7., is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/1000 gal/yr) Reference

VOC 1.00 AP

- 42, Transportation And Marketing Of Petroleum

Liquids1, Table 5.2

- 7 3

Calculation Methodology:

The VOC emissions associated with Underground Tank Breathing and Emptying in Shelby County, Tennessee are

calculated using the emission calculation methodology provided in AP42, Chapter 5, Petroleum Industry, Section

5.2,Transportation and Marketing of Petroleum Products and the throughput data acquired from the Field Services

database, which maintains gasolin e throughput data for all permitted gasoline stations in Shelby County. In 2012,

the Field Services Branch recorded a total throughput of 434,797,252 gallons for all permitted gasoline stations.

VOC emissions estimate for this category are determined as f ollows:

Emissions of VOC = ( Shelby County gasoline gallons delivered ) (Emission Factor) (pound

- to

- ton conversion)

= (434,797,252 gallons) (1.0 lb s /1,000 gallons/year) (1ton/2000 lbs)

= 217.3986 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 217.39 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (217.3986 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.5973tons/day

Page | 159Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

following equation illustrates the methodology employed.

PJEM = (Emissions of NOx) (GF)

Where

PJEM = Projected Future Emissions in tons /day

GF = Growth Factor for projected futur e years

Page | 160Gasoline Marketing

- Stage 2 Gasoline Refueling Uncontrolled Displacement Losses (SCC 2501060103 

### )

Source Category Description Overview:

Gasoline marketing involves the operations typically associated with transporting gasoline from refineries to final

consumption in gasoline

- powered vehicles. Evaporative emissions of VOCs occur at all points in the distribution

process. Stage II controls are not required at gasoline stations throughout Shelby County.

Assumptions :

Total countywide gasoline throughput and activity based emissions factor provide a representative method to

estimate local emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. 2 2

. 3 % of gasoline dispensed

– 96,959,787.2 gallons

2. Emissions Factor for VOC, which is provided in A P

- 42, Table 5.2

- 7., is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/1000 gal/year) Reference

VOC 11 AP

- 42, Transportation And Marketing Of Petroleum

Liquids1, Table 5.2

- 7 3

Calculation Methodology:

The VOC emissions associated with Gasoline Refueling Displacement Losses I in Shelby County, Tennessee are

calculated using the emission calculation methodology provided in AP42, Chapter 5, Petroleum Industry, Section

5.2,Transportation and Marketing of Petroleum Products and the throughpu t data acquired from the Field Services

database, which maintains gasoline throughput data for all permitted gasoline stations in Shelby County. In 2012,

the Field Services Branch recorded a total throughput of 434,797,252 gallons for all permitted gasolin e stations.

Stage II controls are not required in Shelby County. According to Table A

- 1

- Projected Penetration of ORVR in the

National Gasoline Fueled Vehicle Fleet by Year, Guidance on Removing Stage II Gasoline Vapor Control Programs

from State Implemen tation Plans and Assessing Comparable Measures, 28.6 % of the vehicle population is equipped

with Onboard Refueling Vapor Recovery Systems. Thus, per TableA

- 1, for this calculation only 2 2.3 % of the fuel

dispensed (434,797,252 x 0.2 23 = 96,959,787.2 gallo ns) will be considered to be un controlled. VOC emissions

estimate for this category are determined as follows:

Emissions of VOC = ( TGD ) (EF) (CF)

Where,

TGD = total gasoline dispensed per county per 1,000 gallons, 96,959,787.2 gallons

EF = emission factor, 11 lbs/1,000 gallons/year

CF = conversion factor, 1ton/2000 lbs

= ( 96,959,787.2 gallons) ( 11 lbs/ 1000 gal/year) (1ton/2000 lbs)

= 533.28 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

Page | 161where

Annual Emissions = 533.28 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ w eek

Substituting this information into the equation gives

= (533.28 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 1.4651 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 162Gasoline Marketing

- Stage 2 Gasoline Refueling Controlled Displacement Spillage (SCC 2501060102 

### )

Source Category Description Overview:

Gasoline marketing involves the operations typically associated with transporting gasoline from refineries to final

consumption in gasoline

- powered vehicles. Evaporative emissions of VOCs occur at all points in the distribution

process. Stage II controls are not required at gasoline stat ions throughout Shelby County.

Assumptions :

Total countywide gasoline throughput and activity based emissions factor provide a representative method to

estimate local emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. 77.7 % of gasoline dispensed

– 337,837,464.8 gallons

2. Emissions Fa ctor for VOC, which is provided in A P

- 42, Table 5.2

- 7., is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/1000 gal/year) Reference

VOC 1

. 1 AP

- 42, Transportation And Marketing Of Petroleum

Liquids1, Table 5.2

- 7 3

Calculation Methodology:

The VOC emissions associated with Gasoline Refueling Displacement Spillage I in Shelby County, Tennessee are

calculated using the emission calculation methodology provided in AP42, Chapter 5, Petroleum Industry, Section

5 .2,Transportation and Marketing of Petroleum Products and the throughput data acquired from the Field Services

database, which maintains gasoline throughput data for all permitted gasoline stations in Shelby County. In 2012,

the Field Services Branch recor ded a total throughput of 434,797,252 gallons for all permitted gasoline stations.

Stage II controls are not required in Shelby County. According to Table A

- 1

- Projected Penetration of ORVR in the

National Gasoline Fueled Vehicle Fleet by Year, Guidance o n Removing Stage II Gasoline Vapor Control Programs

from State Implementation Plans and Assessing Comparable Measures

, 7 1 .4 % of the vehicle population is equipped

with Onboard Refueling Vapor Recovery Systems. Th us

, per TableA

- 1, for this calculation only 7 7

. 7 % of the

dispensed fuel (434,797,252 x 0. 777 = 3 37

, 837

, 464

. 8 gallons) will be considered to be controlled. VOC emissions

estimate for this category are determined as follows:

Emissions of VOC = ( TGD ) (EF) (CF) * (1

– (0.95))

Where,

TGD = total gasoline dispensed per county per 1,000 gallons, 337,837,464.8 gallons

EF = emission factor, 1

. 1 lbs/1,000 gallons/year

CF = conversion factor, 1ton/2000 lbs

= ( 337,837,464.8 gallons) (1

. 1 lbs/ 1000 gal/year) (1ton/2000 lbs) (1

– (0.95))

= 185.81

– 176.5 2 tons/year

= 9.29 tons/year

Page | 163Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 9.29tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= 9.29 tons/year tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.0255 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

following equation illustrates the methodology employed.

PJEM = (Emissions of NOx) (GF)

Where

PJEM = Projected Future Emissions in tons /day

GF = Growth Factor for projected future years

Page | 164Gasoline Marketing

- Stage 2 Gasoline Refueling Displacement Spillage (SCC 2501060103 

### )

Source Category Description Overview:

Gasoline marketing involves the operation s typically associated with transporting gasoline from refineries to final

consumption in gasoline

- powered vehicles. Evaporative emissions of VOCs occur at all points in the distribution

process. Stage I I controls are not required at gasoline stations throughout Shelby County.

Assumptions :

Total countywide gasoline throughput and activity based emissions factor provide a representative method to

estimate local emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. total gasoline dispensed

– 434,797,252 gallons

2. Emissions Factor for VOC, wh ich is provided in A P

- 42, Table 5.2

- 7., is presented in the table below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/1000 gal/year) Reference

VOC 0.7 AP

- 42, Transportation And Marketing Of Petroleum

Liquids1, Table 5.2

- 7 3

Calculation Methodology:

The VOC emissions associated with Gasoline Refueling Displacement Spillage I in Shelby County, Tennessee are

calculated using the emission calculation methodology provided in AP42, Chapter 5, Petroleum Industry, Section

5.2,Transpo rtation and Marketing of Petroleum Products and the throughput data acquired from the Field Services

database, which maintains gasoline throughput data for all permitted gasoline stations in Shelby County. In 2012,

the Field Services Branch recorded a tota l throughput of 434,797,252 gallons for all permitted gasoline stations.

Stage II controls are not required in Shelby County. VOC emissions estimate for this category are determined as

follows:

Emissions of VOC = ( TGD ) (EF) (CF)

Where,

TGD = total gasoline dispensed per county per 1,000 gallons, 434,797,252 gallons

EF = emission factor, 0.7lbs/1,000 gallons/year

CF = conversion factor, 1ton/2000 lbs

= ( 434,797,252 gallons) (0. 7 lbs/ 1000 gal/year) (1ton/2000 lbs)

= 152.18 tons/y ear

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 152.18 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Page | 165Substituting this information into the equation gives

= 152.18 tons/year tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.4181 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

following equation illustrates the methodology employed.

PJEM = (Emissions of NOx) (GF)

Where

PJEM = Projected Future Emissions in tons /day

GF = Growth Factor for projected f uture years

Page | 166Gasoline Marketing

- Stage I; Tank Trucks in Transit (SCC 2505030120 

### )

Source Category Description Overview:

Gasoline marketing involves the operations typically associated with transporting gasoline from refineries to final

consumption in gasoline

- powered vehicles. Evaporative emissions of VOCs occur at all points in the distribution

process. Tank trucks in transit are a source of displaced of gasoline vapors.

Assumptions :

Total countywide gasoline throughput and activity based emissions factor provide a representative method to

estimate local emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. total gasoline dispensed 1

– 434,797,252 gallons

2. Emissions Factor for VOC, which is provided in A P

- 42, Table 5.2

- 7., is presented in the table below

Table : AP

- 42 Emissions Factor s

Pollutant Emissions Factor (lbs/1000 gal/yr) Reference

VOC 0.06 AP

- 42, Transportation And Marketing Of Petroleum

Liquids1, Table 5.2

- 7 3

Calculation Methodology:

The VOC emissions associated with Tank Trucks in Transit in Shelby County, Tennessee calculated using the

emission calculation methodology provided in AP42, Chapter 5, Petroleum Industry, Section 5.2,Transportation and

Marketing of Petroleum Products and the throughput data acquired from the Field Services database, which

maintains gasolin e throughput data for all permitted gasoline stations in Shelby County. In 2012, the Field Services

Branch recorded a total throughput of 434,797,252 gallons for all permitted gasoline stations. VOC emissions

estimate for this category are determined as f ollows:

Emissions of VOC = ( Shelby County gasoline gallons delivered ) (Emission Factor) (pound

- to

- ton conversion)

= (434,797,252 gallons) ( 0.06 lb s /1,000 gallons/year) (1ton/2000 lbs)

= 13.0439 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 13.0439 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ wee k

Substituting this information into the equation gives

= 13.0439 tons/year tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.0358 tons/day

Page | 167Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

following equation illustrates the methodology employed.

PJEM = (Emissions of NOx) (GF)

Where

PJEM = Projected Future Emissions in tons /day

GF = Growth Factor for projected future years

Page | 168Gasoline Marketing

- Aviation Gasoline Distribution: Stage I (SCC 2501080050 

### )

Source Category Description Overview:

Like vehicle refueling, aircraft refueling results in VOC emissions. Stage I is one processes that causes the

displacement of vapors during the transfer of aviation gasoline from tank trucks to storage tanks and vice versa.

Evaporative emissions of VOCs occur at all points in the distribution process.

Assumptions :

Total countywide gasoline throughput and activity based emissions factor provide a representative method to

estimate local emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. total aviation gasoline dispensed is presented in the table below

Table : Aviation Gas Totals

Airport Aviation Fuel (gallons)

Memphis International 1 80,983

Charles W. Baker 1 73,344

General Dewitt Spain 1 121,488

Total 275,815

1 Source: MEMPHIS INTERNATIONAL AIRPORT ANNUAL ACTIVITY REPORT FOR YEAR ENDED DECEMBER 31, 2012, < http://www.mscaa.com>

2. Emissions Factor for VOC, which is provided in A P

- 42, Table 5.2

- 7., is presented in the table below

Table : EIIP Emissions Factors

Pollutant Emissions Factor (lbs/ gal/yr) Reference

VOC 0.0193 EIIP, Chapter 11

- Gasoline Marketing, Section 3

Calculation Methodology:

The VOC emissions associated with aviation gasoline in Shelby County, Tennessee are calculated using the

emissions equation from the EIIP Tech. Report, Chapter 11

- Gasoline Marketing, Section 3 and the throughput data

acquired from the Memphis International Airport Annual Activity Report For Year Ended December 31, 2012,

whic h indicated that a total throughput of 275,815gallons at airport controlled by the Memphis and Shelby County

Airport Authority. VOC emissions estimate for this category are determined as follows:

Emissions of VOC = ( Shelby County Aviation gasoline gallons ) (Emission Factor) (pound

- to

- ton conversion)

= ( 275,815gallons ) ( 0.0193 lb/gallons/year) (1ton/2000 lbs)

= 2.6616 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 2.6616 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Page | 169Substituting this information into the equation gives

= 2.6616 tons/year tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.0073 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from t he United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 170Gasoline Marketing

- Aviation Gasoline Distribution: Stage II (SCC 2501080050 

### )

Source Category Description Overview:

Like vehicle refueling, aircraft refueling results in VOC emissions. Stage II is one processes that causes the

displacement of vapors during the transfer of aviation gasoline storage tanks to aircraft

.

Assumptions :

Total countywide gasoline throughput and activity based emissions factor provide a representative method to

estimate local emissions for this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. total aviation gasoline dispensed is presented in the table below

Table : Aviation Gas Totals

Airport Aviation Fuel (g allons)

Memphis International 1 80,983

Charles W. Baker 1 73,344

General Dewitt Spain 1 121,488

Total 275,815

1 Source: MEMPHIS INTERNATIONAL AIRPORT ANNUAL ACTIVITY REPORT FOR YEAR ENDED DECEMBER 31, 2012, < http://www.mscaa.com>

2. Emissions Factor for VOC, which is provided in EIIP Tech. Report, Table 11.3

- 1., is presented in the table bel

Emissions Factor for VOC, which is provided in A P

- 42, Table 5.2

- 7., is presented in the table below

Table : EIIP Emissions Factors

Pollutant Emissions Factor (lbs/ gal/yr) Reference

VOC 0.0136 EIIP, Chapter 11

- Gasoline Marketing, Section 3

Calculation Methodology:

The VOC emissions associated with aviation gasoline in Shelby County, Tennessee are calculated using t he

emissions equation from the EIIP Tech. Report, Chapter 11

- Gasoline Marketing, Section 3 and the throughput data

acquired from the Memphis International Airport Annual Activity Report For Year Ended December 31, 2012,

which indicated that a total throughput of 275,815gallons at airport controlle d by the Memphis and Shelby County

Airport Authority. VOC emissions estimate for this category are determined as follows:

Emissions of VOC = ( Shelby County Aviation gasoline gallons ) (Emission Factor) (pound

- to

- ton conversion)

= (275,815gallons) ( 0.0136 lb/ gallons/year) (1ton/2000 lbs)

= 1.8755 tons/year

Furthermore, the Summer Season Day VOC emissions estimate associated with this category is determined, as

follows:

Emissions of VOC = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 1.8755 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Page | 171Substituting this information into the equation gives

= 1.8755 tons/year tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.0052 tons/day

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Ene rgy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 172Land Clearing (2610000500)

Source Category Description Overview:

Land Clearing emissions result from the purposeful burning of debris, such as trees, shrubs, and brush, from the

clearing of land for the construction of new buildings and/or highways. NOx, CO, and VOC emission estimates

from open burning of land clearing debris are a function of the amount of materials and fuel subject to burning.

These emissions were calculated from actual 2012 burn permit data obtained from the Shelby County Health

Department, Pollution Control Section, Field Services Branch.

Activity Data/ Required Input Para meters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. burn permit data

2. Emissions Factors for NOx, CO, and VOC, which are obtained from EIIP , Volume I I , Chapter 16 : Open

Burning, Revised Final, January 2001

, page 16.4

- 11 are presented in the table below

Table : EIIP Open Burning Emissions Factors

Pollutant Emissions Factor (lbs/ton) Reference

NOx 0.5 Table 16.4

- 2 land clearing debris

CO 22 Table 16.4

- 2 land clearing debris

VOC 12 Table 16.4

- 2 land clearing debris

Calculation Methodology:

During calendar year 2012, the Field Services Branch issued 14 burn permits. Burn permits are issued for 30 days

.

W hile this time period is sufficient for some burns, others require time extension to complete the job. Also, note

that

, Sundays, some holidays, and rainy days , where rain totals are greater than or equal to 1inch, are not conducive

to burning and are deducted from the thirty day period. For example, the num ber of burn days in the month of

January are determined, as follows :

#of Burn Days in January

= (# of Permits) (# of Burn days/ permit

- # of Sun days . in the month

- # of Holidays

- # of rainy days)

= (3) (30

– 5

– 2

– 0)

= 69

The table below shows the 2012 Burn Permit data.

2012 Burn Permit Data

Month # of

permits # burns

days/permit # of

Sundays/mo #

holidays #of days in the month

that received rain>=

1.0 inches #burn days

January 3 30 5 2 0.00 69

February 1 30 4 0 2.00 24

March 0 30 4 1 2.00 0

April 1 30 5 0 4.00 21

May 1 30 4 0 2.00 24

June 0 30 4 0 2.00 0

July 2 30 5 1 0.00 48

August 1 30 4 0 0.00 26

September 2 30 5 1 2.00 44

October 1 30 4 1 0.00 25

November 2 30 4 1 2.00 46

December 0 30 5 1 2.00 0

total 14 269

Page | 173A c cording to Section staff, burns normally occur for 10 hours a day and are charge d at 10 tons per hour. Thus,

m ultiplying hours per day by tons per hour by burn days from the table above yields tonnage of wood burned, as

follows:

(269 burns/year) (10 hours/day) (10 tons/hour) = 26,900 tons burned/year

Finally, the e mission estimate for nitrogen dioxide, NOx

, is determined as follows:

Emissions of NOx = ( Load Factor ) (Emission Factor) (pound

- to

- ton conversion)

= ( 26,900 tons burned/year ) ( 0.5 lbs / ton ) (1ton/2000 lbs)

= 6

. 725 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 12.45 tons

SAF = Seasonal Adjustment Factor, 2.9

WAF = Weekly Activity Factor, 6 days/ week

Substituting this information into the equation gives

= (6.725 tons/year tons/year) (2.9)/ (6 days/week) (52 weeks/ year)

= 0.0625 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Land Clearing Emissions Estimates

Pollutant Load Factor

(tons burned) Emissions Factor

(lbs/ ton s) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 26,900 0.5 6.725 0.0625

CO 26,900 22 295.9 2.7504

VOC 26,900 12 161.4 1.5002

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

F uture year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Page | 174Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 175On Site Incineration (SCC 2601020000)

On

- site incineration emissions occur at industrial and commercial facilities alike

. The em issions estimates for this

source category ate intended to capture all of the emissions source s of this type.

Assumptions :

County population and per capita emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

Activity Data/ Required Input Parameters:

The following activity data /input parameters are needed to calculate emissions for this source category.

1. 2012 Shelby County, Tennessee. population (Census Bureau) 1

– 93 7

, 763

2. Emissions Factors for NOx, CO, and VOC, which are obtained from EIIP, Volume II, Chapter 16: Open

Burning, Revised Final, January 2001, page 16.4

- 3 are presented in the table below

Table : EIIP Open Burning Emissions Factors

Pollutant Emissions Factor (lbs/ton) Reference

NOx 6 Table 16.4

- 1

CO 85 Table 16.4

- 1

VOC 8.556 Table 16.4

- 1

3. Waste Generation Factor, 0.023 tons/ person, which was obtained from Procedures For The Preparation Of

Emission Inventories For Carbon Monoxide And Precursors Of Ozone, Volume I: General Guidance For Stationary

Sources , United States Environmental Protection Agency, Office of Air Quality Planning and Standards, Research

Triangle Park, NC 27711, EPA

- 450/4

- 91

- 016, May 1991, Table 4.6

- 1

Calculation Methodology:

On

- site incineration emissions are calculated based on county population. The NOx emissions associated with this

category are determined using the per capita emission factor of 6 lbs NOx / ton waste

, a fuel loading factor of 0.023

tons refuse per person per year, and the 2012 Shelby County population

, as follows:

Emissions of NO x = (2012 county population) (Fuel Loading Factor ) (Emission Factor) (pound

- to

- ton conversion)

= ( 937,763 persons ) (0.23 tons/ person/year) ( 6 lbs /ton waste ) (1ton/2000 lbs)

= 64. 7056 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 64.7056 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= ( 64.7056 tons/year) (1 year/365 days)

= 0.178 8 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displaye d along with

NOx in the table below.

Page | 176Table : 2012 Shelby County, Tennessee On

- Site Incineration Emissions Estimates

Pollutant Shelby

Population

(persons)) Fuel Loading

Factor

(tons/person/year) Emissions

Factor (lbs/ton) Emissions Estimate

(tons/year) Emissions Estimate

(tons/day)

NOx 937,763 0.023 6 64. 7056 5 0.17 78

CO 937,763 0.023 85 91 6

. 6633 2.5 18 0

VOC 937,763 0.023 8.556 92. 270 3 0.25 35

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology e mployed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

References:

1. American Fact Finder , US Census Bureau

. Internet Address: http://www.census.gov/econ/cbp/download/12_data

Page | 177Municipal Solid Waste (MSW) Landfills (SCC 2620030000)

Source Category Description Overview:

MSW Landfills emissions shown in the table below were submitted to the Shelby County Health Department,

Pollution Control Section (SCHD

- PCS) by each landfill facility in fulfillment of permit conditions which require

periodic reporting of emission s information. Furthermore, it is important to note that a “Responsible Company

Official” is required to signed a statement guaranteeing t he accuracy of the emissions information submitted to

SCHD

- PCS.

2012 Shelby County, TN Landfill Emissions

SID# Company Name NOX CO VOC

00395 BFI W aste Systems of North America

, I nc. 10.96 57.68 17.86

00556 S helby County Landfill 0.18 0.58 1.29

00698 BFI Waste Systems of North America, Inc 17.90 95.18 7.68

01042 N orth Memphis Landfill, Inc. 1.34 0.00 0.00

Totals 30.38 153.44 26.83

.

The Summer Season Day NOx emissions associated with this category are determined, as follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

Where

Annual Emissions = 30.38 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7days/ week

Substituting this information into the equation gives

= (30.38 tons/year) (1)/ (7 days/week) (52 weeks/year)

= 0.0835tons/day

Summer Season Day Emissions Estimates for CO and VOC are determined in a similar manner and the results are

displayed along with NOx in the table below.

Table : 2012 MSW Summer Season Day Emissions Estim ates

Pollutant Annual

Emissions

(ton)) Seasonal

Adjustment

Factor Weekly

Activity Factor Weeks

per

Year Summer Season

Day Emissions

Estimate

(tons/day)

NOx 30.38 1 7 52 0.0835

CO 153.44 1 7 52 0.4215

VOC 26.83 1 7 52 0.0737

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Page | 178Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 179Publicly Owned Treatment Works (POTW) (SCC 2630020000)

Source Category Description Overview

Publicly Owned Treatment Works (POTW) emissions shown in the table below were submitted to the Shelby

County Health Department, Pollution Control Section (SCHD

- PCS) by the POTW facilities in fulfillment of permit

conditions which require periodic reporting of emissions information. Furthermore, it is important to note that a

“Responsible Company Official” is required to signed a statement guaranteeing the accuracy of the emissions

information submitted to SCHD

- PCS.

2012 Shelby Cou nty, TN POTW Emissions

Source

ID# Facility Name NOx CO VOC

00701 T. E. Maxson Wastewater Treatment Plant 14.07 76.47 28.92

00702 Maynard C. Stiles Wastewater Treatment Plant 4.75 25.85 9.77

Totals 18.82 102.32 38.69

The Summer Season Day NOx emissions associated with this category are determined, as follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

Where

Annual Emissions = 18.82tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7days/ week

Substituting this information into the equation gives

= (18.82tons/year) (1)/ (7 days/week) (52 weeks)

= 0.0517tons/day

Summer Season Day Emissions Estimates for CO and VOC are determined in a similar manner and the results are

displayed along with NOx in the table below.

Table : 2011 POTW Summer Season Day Emissions Estimates

Pollutant Annual

Emissions

(ton)) Seasonal

Adjustment

Factor Weekly

Activity Factor Weeks

per

Year Summer Season

Day Emissions

Estimate

(tons/day)

NOx 18.82 1 7 52 0.0517

CO 102.32 1 7 52 0.2811

VOC 38.69 1 7 52 0.1063

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Page | 180Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 181Structure Fires (SCC: 2810030000)

Source Category Description Overview:

Structure fires include fires that involve any type of building or edifice. Emissions from structure fires are

determined by the incidence of fires and the amount and the type of material burned. Calculations for estimating

emissions for structure fires use an equation based on emission factors, fuel loading, and activity data.

Assumptions :

County population and activity based emissions factor provide a representative method to estimate local emissions

for this category.

Control Factor :

No controls were assumed for this category

Required Input Parameters:

The following input data is required to calculate emissions for this source category.

1. Fuel loading factor: FL = 1.15 tons burned/fire 1

2. Number of fires per person = 1.54 fires/ 1000 persons 2

3. Emissions Factors for NOx, CO, and VOC, which are obtained from EIIP, Volume II 3

, are presented in the table

below

Table : EIIP Emissions Factors

Pollutant Emissions Factor (lbs/ton) Reference

NOx 1.4 Table 1 8

. 4

- 1

CO 60 Table 18.4

- 1

VOC 11 Table 18.4

- 1

Calculation Methodology:

In 2012, the National Fire Protection Association (NFPA) reported that 480,500 fires had occurred nationally. At

that time the U.S. population total was 312,780,968 people. Using this information the average number of structure

fires was determined, as follows:

Number of Fires Per Person (NPP) Factor = Numbers fires reported by NFPA/U.S. Populations

= 480,500 fires/312,780,968 persons

= 1.54 fires/ 1000 persons

The NOx emissions associated with this category are determined using the 2012 Shelby County population of

93 7

, 763 , the NPP factor of 1.54fires/ 1000 persons, the fuel loading factor of 1.15 tons burned per structure fire, and

the NOx emissions factor of 1.4 lbs NOx/ton, as follows:

Emissions of NOx = (2012 C ounty Pop) ( NPP Factor ) ( Fuel Loading Factor ) (Emission Factor) (pound

- to

- ton conversion)

= (93 7

, 763 persons) (1.54 fires/1000 persons) ( 1.15 tons burned/structure fire ) ( 1.4 lbs /ton waste) (1ton/2000 lbs)

= 1.16 2 5 tons/year

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 1.16 2 5 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Page | 182Substituting this information into the equation gives

= (1.16 2 5 tons/year tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.003 2 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2012 Shelby County, Tennessee Structure Fire Emissions Estimates

Pollutant Shelby County

Population

(persons) Fires per

1000

(persons) Fuel Load

Factor

(tons burned) Emissions

Factor

(lbs/tons) Emissions

Estimate

(tons/year) Emissions

Estimate

(tons/day)

NOx 93 7763 1.54 1.15 1.4 1.16 25 0.0032

CO 93 7763 1.54 1.15 60 49. 8233 0.13 69

VOC 93 7763 1.54 1.15 11 9.1 343 0.025 1

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Control Measures:

The emissions from this source category are regulated by the following rule: None

References:

1. Procedures for the Preparation of Emission Inventories for Carbon Monoxide and Precursors of Ozone, Vol. I:

General Guidance for Stationary Sources , May 1991, United States Environmental Protection Agency, Office of Air

Quality Planning and Standards, Research Triangle Park, NC, EPA

- 450/4

- 91

- 016

2. National Fir e Protection Association, http://www.nfpa.org/research/reports

- and

- statistics/fires

- in

- the

- us/overall

fire

- problem/structure

- fires

3. EIIP, Volume II, Chapter 18: Structure Fires, Revised Final, January 2001, page 18.4

- 5

Page | 183Vehicle Fires (SCC 2810050000)

Source Category Description Overview

Vehicle fire emissions results from the amount of material burned (the fuel loading) in a vehicle fire. Based on an

average vehicle weight of 3700 lbs. and a component weight of 500 lbs., the vehicle fire fuel loading has been

estimated to be approximately 0.25 tons.

Assumptions :

USFA fire data and activity based emissions factor provide a representative method to estimate local emissions for

this category.

Control Factor :

No controls were assumed for this category

R equired Input Parameters:

The following input data is required to calculate emissions for this source category.

1. Fuel loading factor: FL = 0.25 tons burned/fire 1

2. Emissions Factors for NOx, CO, and VOC, which are obtained from EIIP, Volume II 1 , are presented in the table

below

Table : AP

- 42 Emissions Factors

Pollutant Emissions Factor (lbs/ton) Reference

NOx 4 Section 2.5 Open Burning, 1996

CO 125 Section 2.5 Open Burning, 1996

VOC 32 Section 2.5 Open Burning, 1996

Calculation Methodology:

In 2011, the United States Fire Administration (USFA) indicated that there were 219,000 vehicle fires nationwide.

According to the EIIP abstract on Vehicle Fires 1

, vehicle miles traveled may be used to spatially apportion national

fire activity to the state l evel



### . The number of vehicle fires that occurred in Shelby County, Tennessee during this

period is estimated by apportioning the USFA vehicle fire statistic to the county level. To obtain this, the ratio of

Tennessee vehicle miles traveled (VMT) to U.S. VMT is multiplied by the number of nationwide vehicle fires, as

follows:

Number of vehicle fires in Tennessee = (USFA vehicle fire stat) *(TN VMT/ US VMT)

= ( 219,000 vehicle fires) ( 71,167 ,000,000 TN

- VMT / 2,988,021,000,000 US

- VMT)

= 5216.019 vehicle fires in Tennessee

Then the number of statewide vehicle fires was apportioned to the county level based on annual Shelby County

VMT, as follows:

Number of vehicle fires in Shelby County , TN = (USFA vehicle fire stat) *(Shelby, County VMT / TN VMT)

= ( 5216.019 vehicle fires ) (8,818,143,040 Shelby

- VMT / 71,167,000,000 TN

- VMT)

= 646.310 vehicle fires in Shelby County, Tennessee

Us ing this methodology the emission estimate generated from this category is given by the following equation,

EM = (# of Shelby Vehicle Fires) (Fuel Loading) (EF) (1ton / 2000 lbs)

where:

EM = total daily emissions in tons/day

FL = fuel loading factor, 0.25 tons burned/vehicle fire

EF = emission factors, VOC = 32 lbs/ton burned year and NOx = 4 lbs/ton

Page | 184For example, the NOx emissions associated with this category are determined, as follows:

EM = (646.310 vehicle fires) * (0.25 lbs/ vehicle) * (4 lbs/t on) * (1ton / 2000 lbs)

=0.323 tons/year NOx

Furthermore, the Summer Season Day NOx emissions estimate associated with this category is determined, as

follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

where

Annual Emissions = 0.323 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 7 days/ week

Substituting this information into the equation gives

= (0.323 tons/year) (1)/ (7 days/week) (52 weeks/ year)

= 0.000888 tons/day

Emissions estimates for CO and VOC are determined in a similar manner and the results are displayed along with

NOx in the table below.

Table : 2011 Shelby County, Tennessee Structure Fire Emissions Estimates

Pollutant Number of

Shelby

Vehicle Fires Fuel Load

Factor

(tons

burned) Emissions

Factor

(lbs/tons) Emissions

Estimate

(tons/year) Emissions

Estimate

(tons/day)

NOx 646.31 0.25 4 0.323 0.000888

CO 646.31 0.25 125 10.099 0.027743

VOC 646.31 0.25 32 2.585 0.007102

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 185Control Measures:

The emissions from this source category are regulated by the following rule: None

References:

1. EIIP, Volume III, Are Source Category Abstract

– Vehic le Fires, May 15, 2000

Page | 186Human Cremation (SCC 2810060100)

Human Cremation emissions shown in the table below were submitted to the Shelby County Health Department,

Pollution Control Section (SCHD

- PCS) by each crematory in fulfillment of permit conditions which require periodic

reporting of emissions information. Furthermore, it is important to note that a “Responsible Company Official” is

required to signed a statement guaranteeing the accuracy of the emissions information submitted to SCHD

- PCS.

2012 Huma n Cremation Emissions

Source # Source Name NOx VOC CO

00469 Forest Hill Funeral and Memorial Park

- East, LLC 0.00 0.01 0.00

00764 Memorial Park Funeral Home 0.06 0.00 0.05

00787 Memphis Service Center (dba) 0.16 0.16 0.05

00813 Tennessee Cremations, INC 0.03 0.00 0.14

01005 High Point Funeral Chapel (dba) 0.23 0.00 0.74

Totals 0.48 0.17 0.98

The Summer Season Day NOx emissions associated with this category are determined, as follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

Where

Annual Emissions = 0.48 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5days/ week

Substituting this information into the equation gives

= ( 0 .48 tons/year) (1 )/ (5 days/week) (52 weeks)

= 0.00185 tons/day

Summer Season Day Emissions Estimates for CO and VOC are determined in a similar manner and the results are

displayed along with NOx in the table below.

Table : 2011 Human Cremation Summer Season Day Emission s Estimates

Pollutant Annual

Emissions

(ton)) Seasonal

Adjustment

Factor Weekly

Activity Factor Weeks

per

Year Summer Season

Day Emissions

Estimate

(tons/day)

NOx 0.48 1 5 52 0.00185

CO 0.17 1 5 52 0.00065

VOC 0.98 1 5 52 0.00377

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Energy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Page | 187Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following equation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 188Cremation

- Animal (SCC 2810060100)

Animal Cremation emissions shown in the table below were submitted to the Shelby County Health Department,

Pollution Control Section (SCHD

- PCS) by each crematory in fulfillment of permit conditions which require periodic

reporting of emissions information. Furthermore, it is important to note th at a “Responsible Company Official” is

required to signed a statement guaranteeing the accuracy of the emissions information submitted to SCHD

- PCS.

2012 Animal Cremation Emissions

Source # Source Name NOx VOC CO

00820 Dixie Memorial Pet Gardens 0.16 0.00 0.02

00957 Animal Crematory Incinerator 0.54 0.54 0.00

Totals 1.44 0.71 0.02

The Summer Season Day NOx emissions associated with this category are determined, as follows:

Emissions of NOx = (Annual Emissions) (SAF) / (WAF) (52 Weeks)

Where

Annual Emissions = 1.44 tons

SAF = Seasonal Adjustment Factor, 1

WAF = Weekly Activity Factor, 5days/ week

Substituting this information into the equation gives

= ( 1.44 tons/year) (1)/ (5 days/week) (52 weeks)

= 0.00554 tons/day

Summer Season Day Emissi ons Estimates for CO and VOC are determined in a similar manner and the results are

displayed along with NOx in the table below.

Table : 2011 Animal Cremation Summer Season Day Emissions Estimates

Pollutant Annual

Emissions

(ton)) Seasonal

Adjustment

Factor Weekly

Activity Factor Weeks

per

Year Summer Season

Day Emissions

Estimate

(tons/day)

NOx 1.44 1 5 52 0.00554

CO 0.71 1 5 52 0.0027 31

VOC 0.02 1 5 52 0.000077

Growth /Future Year Projections:

Future year emissions are projected by applying growth factors to the Summer Season Day Emissions estimates. The

growth factors were developed with data obtained from the United States Department of Energy, 2014 Annual Ene rgy

Outlook (AEO) projections and the University of Tennessee, Data Center, 2014 Econometric Model Forecast using the

following equation

Growth Factors = FY/BY

Page | 189Where

FY = Future Year

BY = Base Year

Future year emissions were then estimated following eq uation illustrates the methodology employed.

PJEM = (BYEM) (GF)

Where

PJEM = Projected Future Emissions in tons /day

BYEM = Base Year Emissions in tons / day

GF = Growth Factor for projected future years

For more information concerning the growth methodology employed here, refer to the document titled “Growth

Projection Methodology” which is located in Attachment II.

Page | 190