# 1 MEMORANDUM

TO: Jim Eddinger, U.S. Environmental Protection Agency, OAQPS

FROM: Amanda Singleton, ERG

DATE: April 2010

SUBJECT: Methodology for Developing Mode l Units for Industrial, Commercial, and Institutional Boilers at Area Sour ces of Hazardous Air Pollutants



# 1.0 Introduction

This memo presents the methodology used to develop a national estimate of existing area source boilers potentially affected by the Nationa l Emission Standards for Hazardous Air Pollutants (NESHAP) for I ndustrial, Commercial, and Institutional Boilers at Area Sources of HAP. The national inventory of area source boilers was based on data from boiler inspector inventories in 13 states. These data were standardized, and model boilers were developed to represent the different fuel types and typical boiler size ranges reported in the boiler inspector inventories. Section 2.0 presents the results of the da ta collected from state boiler inspector datasets. Section 3.0 presents the methodology used to narrow the datasets down to area source boilers and standardize the records according to fuel type and unit size. Section 4.0 documents the assumptions used to extrapol ate units in the boiler inspector database with missing size data. Section 5.0 documents the assumptions and methodology used to projection the 13-state invent ory to a national level.

Appendices: Appendix A: ASME Conversion Table for Boiler Surface Area Appendix B: Distribution of Boilers by SIC Code

# 2 

# 2.0 Boiler Inspector Data Received

From 2004 to 2006 boiler inspector inventor ies were received from thirteen different states. The states providing inventories included: CO, DE, HI, IN, KS, MI, NC, NE, NJ, NY, TX, UT and WI. Each state’s database contained a variety of different information and each state reported the data in a different format. The databases were focused on boiler safety aspects and did not contain air emission da ta. Many boilers at area sources of HAP are below air permitting thresholds and so these boiler inspector inventories were expected to have a bette r coverage of boilers at area sources. The boiler inspector databases include bot h steam boilers, heater units and other inspected combusted sources such as autoclav es. The data reported in each inventory did not distinguish between area and major sources of HAP. The data submitted from each of the 13 states is listed in the docket for this rulemaking. In addition to the lack of a common reporting format between certain state data had additional limitations that needed to be addressed in order to extrapolate these units to a national level. 

# 3.0 Standardizing Boiler Inspector Data

Data from each state inventor y were standardized in orde r to distinguish which units in the inventory were area sources of HAP and identify fuel and size characteristics for model units.



# Identifying and Eliminating Unwanted Unit Types

Since the inspector databases include records on other types of combustion equipment, each dataset was reviewed for any fields that defined the type of unit or primary use of the unit. For example, the NY dataset contains a column to distinguish between a steam unit and a heater unit whil e NE, NC, and WI have a ‘use’ field to designate what the unit is used for (e.g. pr ocess steam, hot water heat, steam heat...). These codes were used to narrow the content of the database down to boilers, based upon the limited information available.



# Identifying and Eliminating Unwanted Fuel Types

The datasets in some states included electric boilers and combustion equipment firing other fuels that are not covered by the area source boiler rule (e.g., pathological waste incinerators, electric fired boilers). Fo r each dataset a LOOKUP table containing a unique list of fuels reported within each stat e was created and the fu els were classified according to whether or not they were of interest for the boiler database.

# 3 

# Identifying Area and Major Source Facilities

The boiler inspector databases do not disti nguish between area and major sources. Table 1a shows the lower bound on unit size for various fuel types that EPA used as a threshold for classifying a unit as a major sour ce. This size threshold is a rule of thumb estimate and some sources may apply for a limit on HAP emissions, and qualify as a synthetic area source, despite whether the bo ilers exceed the sizes listed in Table 1. We reviewed the total boiler size at each facility in order make a determination on the status of each facility.

Table 1a Fuel and Size Cr iteria for Major Sources


# Boiler Fuel Boiler Size (mmBtu/hr) Coal Greater than 50 Wood Greater than 250 Liquid Greater than 1,800

Gas Greater than 8,000

Table 1b shows the SIC codes that are most common to major sources of HAP. Only some of the boiler inspector databases contained information on SIC codes. More details on the approaches used to identify area sour ces according to SIC code and size are in another memorandum. 1 

# A portion of the state inspectors tracked business types using an internal “business code” tracking system while other states’ data did not contain any type of industrial classification. For these states we applied a seri es of key-word queries to identify boilers at potential major sources of HAP according to the industries identified in Table 1b.

Table 1b SIC Codes for Major Sources


# SIC Code SIC Code Description 28 Chemical Manufacturers 21 Textiles 26 Pulp and Paper Products 49 Electricity Generation 32 Steel Mills

# 4 

# Boiler Size Boiler size was reported in several units of measure and they were standardized to units of mmBtu/hr according to the equations listed in Table 2 below.

Table 2 Common Convers ions for Unit Size


# Non-Standard Unit Unit abbreviations Multiplier for Conversion to mmBtu/hr Lbs steam per hour (#, lbs) #, lbs, lbh .001 Heating Surface (ft 2 

# ) SQ Based on ASME Conversion Table in Appendix A. 2 

# 1000 Btus per Hour MBH, MBHI,MBtu 0.001 Btus Btu 0.000001 Million Btus per Hour MMBH, MMBHI, MMBtu 1 Assumed to be Btu None listed but size is greater than 10,000 0.000001

This analysis removes area source un its less than 10,000 Btus (0.01 mmBtu/hr) so that unrealistically small units (likely a result of data entry errors) are not projected in this analysis. Two state boiler in spectors indicated that their databases included a cutoff on the size of boilers included in their inspector datasets on the range of 30,000-40,000 Btus/hr (0.03-0.04 mmBtu/hr). Units less th an 10,000 Btus/hr were set aside and an average boiler size would be extrapolated to fill the reported gaps in boiler size. A table of boiler and heater size ranges lis ted by typical use is provided in Table 3. Standardized units significantly outside of these size ranges were set aside for size extrapolation.

Table 3 Typical Gas-fired Unit Sizes by End Use 3


## Typical Facility Size (mmBtu/hr) 

# Small commercial or residential 0.067 to 3.4 Mid-sized commercial or small Industrial 2.5 to 10 Large Commercial of Large Industrial 10 to 33.5

Table 4 shows the distribution of units in the boiler inspector database based on state and fuel category.

# 5 Table 4 Distribution of Unit Fuel Ty pe for Each of the Thirteen Stat es in the Boiler Inspector Dataset After removing major sources.

State Fuel Category Number of Boilers State Fuel Category Number of Boilers

CO gas 24,151 NE gas -

CO liquidD 60 NE liquidD -

CO solidB 35 NE liquidR -

CO solidC 34 NE solidB - DE gas - NE solidC -

DE liquidD - NJ gas 20,465

DE solidC - NJ liquidD 3,515

HI gas 1,901 NJ liquidR 12

HI liquidD 255 NJ solidB 6

HI solidB 2 NJ solidC 22

HI solidC 3 NY gas 44,809

IN gas 11,966 NY liquidD 27,356

IN liquidD 325 NY liquidR 551

IN liquidR 1 NY solidB 86

IN solidB 23 NY solidC 41

IN solidC 4 TX gas 46,708

KS gas 15,468 TX liquidD 157

KS liquidD 34 TX SolidB 20

KS solidB 5 TX solidC -

KS solidC 3 UT gas 11,477

MI gas 135,250 UT liquidD 63

MI liquidD 1,896 UT SolidC 92

MI liquidR 6 WI gas 33,878

MI solidB 178 WI liquidD 2,263

MI solidC 44 WI solidB 149

NC gas 14,507 WI solidC 77

NC liquidD 4,452

NC solidB 165

NC solidC 44

# 6 Seven size bins were created in order to aggregate units based on similar size characteristics. Table 5 below summarizes the distribution of un it sizes in the boiler inspector database.

Table 5 Units in Boiler Inspector Database Aggregated to Seven Size Bins

Bin Unit Size (mmBtu/hr) Number of Records No size listed or suspect size conversions x 19,022

1 > 0.01 and <0.1 18,341

2 ≥ 0.1 and < 0.5 171,447

3 ≥ 0.5 and < 1.0 79,854

4 ≥ 1.0 and < 5.0 93,660

5 ≥ 5.0 and < 10.0 12,111

6 ≥ 10.0 and < 100 8,033

7 ≥ 100 91



# 4.0 Filling Data Gaps in the Boiler Inspector Databases

After the datasets were standardized to a common set of size units and fuel categories, there were over 40,000 boilers with out a reported size. The distribution of units with known capacity data for each state was identified for each fuel and size group combination based on the seven size bins. Next, the average size of each bin for a given fuel and size bin was assigned to the number of extrapolated units distributed within the bin. It was assumed that the portion of units within each state for which the boiler size was unknown would have the same distributi on of unit size as those units for which capacity was known. Inspector data reported from boilers in CO and NJ was restricted to units less than 10 mmBtu/hr. This was not due to the actual size of boilers in the states of CO and NJ, but instead was a result of how the data re quest was interpreted. In order to correctly account for units larger than 10 mmBtu/hour in these states, the percentage of units from each of the other eleven states that belonged to Bins 6 and 7, respectively, were averaged. This average was applied to estimate additi onal larger boilers in both Colorado and New Jersey that were expected to be in the st ate but were not reported as part of the dataset. This extrapolation assumes that the unknown number of large units in CO and NJ

# 7 is expected to have the same distribution as the number of units la rger than 10 mmBtu/hr in the other 4 states of the bo iler inspector database. A consol idated standardized table of all thirteen states in contained in the boiler inspector inventory database Similar to the approach taken for filling da ta gaps for size, units with an unknown fuel type were assigned to have the same dist ribution of other fuel t ypes within the state. It was assumed that the portion of units with in each state for which the fuel was unknown would have the same distribution of unit size as those units for which fuel was known.


# 5.0 National Estimate of Area Source Boilers

Using the extrapolated dataset from the 13- state inspector invent ory, we needed to estimate a total national number of boilers potentially affected by this regulation. To make this estimate, we projected to total heat input from small boilers in the remaining 37 states using a ratio of state popul ation to the total heat input from all boilers in that state.

Table 6 Ratios of 2000 U.S. State Census Popul ation to Total Heat Input from Boiler in State

Min Max Average Area Source Heat Input (mmBtu/hr) per capita 0.0029 0.0149 0.01046



# Next, the heat input of specific fuels used in boilers were projected according to fuel consumption patterns in each of the ot her 37 states. Fuel consumption patterns are expected to vary according to state. This anal ysis assumes the distribution of fuel use in area source units will follow the overall fuel consumption patterns for the Residential and Commercial sectors of a particular state. Industrial consumption patterns were not considered since most of these sources ar e not located at industrial facilities. A relative statewide comparison of fuel consumption between gas, liquid, and solid (coal and wood) fuels was determined from the EIA state fuel consumption data. The boiler inspector database indicates that 2.2% of the heat input across the 6 states where the size of the unit is known is specified in the ‘other’ fuel category prior to any extrapolations. The number of units in ‘other ’ fuel category in the remaining 37 states and the District of Columbia is expected to follow the same 2.2% distribution. The relative comparison of gas, liquid and solid fu els were adjusted to allow for a standard 2.2% of the state heat input in the ‘other’ fuel category. Table 7 shows the relative comparisons of fuels for each of the 50 states and the District of Columbia.

# 8 Table 7 EIA Distribution of Heat Input for Resi dential and Commercial Sectors by Fuel Category 4

State Pct Coal Pct NG Pct Dist. Pct Residual Pct Wood/Biomass

Alabama 0.4% 86.9% 5.7% 0.0% 7.0%

Alaska 11.9% 53.0% 32.7% 0.0% 2.4%

Arizona 0.0% 83.2% 5.5% 0.0% 11.4%

Arkansas 0.0% 92.2% 4.6% 0.0% 3.2%

California 0.0% 93.1% 2.2% 0.0% 4.7%

Colorado 3.2% 90.9% 1.9% 0.0% 4.0%

Connecticut 0.1% 44.7% 50.9% 0.5% 3.8%

Delaware 0.0% 59.9% 29.6% 5.4% 5.1%

Dist. of Col. 2.2% 82. 8% 12.0% 0.0% 3.0%

Florida 1.7% 72.2% 19.2% 0.1% 6.8% Georgia 0.2% 88.3% 4.9% 0.0% 6.6%

Hawaii 0.0% 75.0% 25.0% 0.0% 0.0%

Idaho 0.7% 82.9% 10. 7% 0.0% 5.7%

Illinois 0.8% 95.6% 1.9% 0.1% 1.7%

Indiana 2.2% 87.7% 5.2% 0.0% 4.9%

Iowa 5.4% 86.8% 4.1% 0.0% 3.6%

Kansas 0.0% 92.1% 4.2% 0.0% 3.6% Kentucky 4.9% 82.4% 7.9% 0.0% 4.8%

Louisiana 0.0% 93.7% 1.9% 0.0% 4.5%

Maine 0.2% 6.3% 82.4% 1.8% 9.4% Maryland 1.0% 72.0% 21.6% 0.1% 5.4%

Massachusetts 0.1% 50. 5% 44.3% 0.9% 4.2% Michigan 0.0% 93.9% 4.3% 0.0% 1.8%

Minnesota 0.0% 88.1% 7.9% 0.6% 3.4% Mississippi 0.0% 89.4% 3.4% 0.5% 6.7%

Missouri 2.2% 87.7% 5.5% 0.1% 4.4%

Montana 0.0% 89.7% 5.5% 0.0% 4.7%

Nebraska 0.1% 93.8% 2.4% 0.1% 3.6%

Nevada 0.0% 89.4% 5.2% 0.0% 5.4%
New Hampshire 0.2% 27. 3% 66.4% 0.9% 5.3% New Jersey 0.0% 80.8% 16.8% 0.5% 1.8%

New Mexico 0.2% 91.5% 3.1% 0.0% 5.3%

New York 0.2% 62.8% 26.1% 3.8% 7.1%

North Carolina 2.3% 64. 6% 23.5% 0.5% 9.0%

North Dakota 6.5% 74. 1% 15.0% 0.7% 3.8%

Ohio 1.0% 92.0% 5.0% 0.0% 2.0%

Oklahoma 0.0% 94.1% 3.4% 0.0% 2.6% Oregon 0.0% 75.8% 14.6% 0.3% 9.3%
Pennsylvania 3.5% 66.7% 26.4% 0.5% 2.9%

Rhode Island 0.0% 51.8% 40.0% 4.4% 3.8%

South Carolina 0.0% 75. 0% 10.3% 1.0% 13.6%

South Dakota 0.4% 81. 8% 13.4% 0.0% 4.5%

Tennessee 2.5% 86.3% 4.4% 0.0% 6.9%

Texas 0.1% 92.5% 4.9% 0.0% 2.5%

Utah 1.2% 90.7% 4. 6% 0.1% 3.4%

# 9 Vermont 0.0% 20.2% 71.5% 2.3% 6.1% Virginia 1.6% 65.0% 22.8% 0.9% 9.7% Washington 0.3% 81.6% 10.0% 0.0% 8.0% West Virginia 1.6% 86.8% 7.2% 0.0% 4.4%

Wisconsin 2.1% 83.5% 11.4% 0.5% 2.4% Wyoming 10.0% 77.5% 8.9% 0.0% 3.6%



# The minimum, maximum, and average heat input for each fuel category was calculated by the following equation:

Heat Input (HI) a,b 

# = (Total HI in State a 

# ) x (% HI From Fuel b 

# ) (Eqn. 1)

Where: a = State or District of Colombia{AK, AZ,...,WY} b = Fuel Category{solid, gas, liquid, other}

The distribution of heat inputs within each fuel category is shown in Table 8.

# 10 Table 8 Distribution of Model Boilers According to Fuel Type and Size from the 13-State Boiler Inspector Database

Fuel Category SizeBin Avg. Boiler Size (mmBtu/hr) Percent of Fuel Category gas 1 0.067291 0.2% gas 2 0.307398 7.5% gas 3 0.721795 9.9% gas 4 2.099534 33.0% gas 5 6.887038 12.9% gas 6 24.14245 33.4% gas 7 137.3751 3.1% liquidD 1 0.057543 0.1% liquidD 2 0.314211 3.7% liquidD 3 0.735697 3.4% liquidD 4 2.467187 18.2% liquidD 5 6.760865 10.4% liquidD 6 25.31204 56.5% liquidD 7 173.4401 7.7% liquidR 1 0.037193 0.0% liquidR 2 0.291135 0.2% liquidR 3 0.73576 0.5% liquidR 4 2.68188 39.2% liquidR 5 5.94997 41.7% liquidR 6 17.56013 13.4% liquidR 7 126 4.9% solidB 1 0.05099 0.0% solidB 2 0.293961 0.4% solidB 3 0.765927 0.9% solidB 4 2.717461 5.6% solidB 5 7.445966 8.5% solidB 6 21.03538 77.0% solidB 7 131 7.6% solidC 1 0.01526 0.0% solidC 2 0.256002 1.1% solidC 3 0.779042 1.8% solidC 4 2.350075 14.3% solidC 5 6.596056 6.6% solidC 6 23.49254 76.3%

# 11 The distribution of heat i nputs to the different size bins within a given fuel category in the remaining 37 states and the Dist rict of Columbia are assumed to have the same size distribution pattern as those in the boiler insp ector database. Based on the distribution of heat inputs in each size bin, the number of units in each size bin was calculated by the following equation:

c b c b a

c b, a, 

# SizeBin and Fuel in Size Avg.Unit SizeBin

, Fuel

, State in Input Heat its NumberofUn 



# Where: a = State or District of Colombia {AK, AZ,...,WY} b = Fuel Category {solid, gas, liquid, other} c = Size Bin {1, 2,..., 7}

Table 9 shows the results of the calculation above; summed over each fuel category. This table represents the nationa l minimum, maximum and average number of units projected within each fuel category.

Table 9 Summation of Heat Inputs and Numb er of Units for Ea ch Fuel Category

Fuel Min Heat Input (mmBtu/hr) Max Heat Input (mmBtu/hr) Avg Heat Input (mmBtu/hr) Min Units Max Units Avg Units

gas 1,484,214 4,105,623 2,632,383 925,221 2,504,762 1,617,067

liquidD 276,952 667,548 448,032 102,146 247,631 165,866

liquidR 5,939 13,036 9,047 1,330 3,166 2,137

solidB 28,593 198,497 103,011 3,307 20,761 10,958

solidC 6,659 39,772 21,163 1,418 6,652 3,710



# 6.0 Assigning SIC Codes to the National Boiler Inventory

Using the business categories, SIC codes, and keyword analysis conducted on the 13-state boiler inspector inventory, large and small boilers were distributed to various industries in order to help identify sector s likely affected by this rulemaking. A summary of the distribution of boilers by SIC code is provided in Appendix B. These SIC distributions were applied to the national inventory in or der to assess national economic impacts of the rule on different affected sectors.

# 12 

# 7.0 References

1. Burlew, C., ERG. Identification of Area S ources in the Industrial, Commercial, and Institutional Boilers and Proce ss Heaters Databases. October 2002.

2. Wisconsin Administrative Code. WI Code 41 Appendix H, Table Hg 400.1, containing excerpts from ASME Sections I, IV, and VIII. Table HG-400.1 Register, February, 20000, No. 530.

3. Alliant Energy. Energy Expertise: En ergy Efficiency HVAC-Boilers. Accessed online: http://www.alliantenergy.com/stellent/g roups/public/documents/pub/bus_exp_eff_01 2392.hcsp

4. U.S. Department of Energy. Energy Info rmation Administration. 2003 State Fuel Consumption Data by Sector, Accessed online at: http://www.eia.doe.gov/emeu/states/sep_sum/html/sum_btu_res.html and http://www.eia.doe.gov/emeu/states/sep_sum/html/sum_btu_com.html

### Appendix A: ASME Conversion Table for Sizes Reported as Heating Surface (ft2)

Boiler Type Boiler Categorized As Firing Method Multiplier for mmBtu/hr
CI ? AUTO
CI ? BURN
CI ? HAND
CAST IRON ? AUTO
CAST IRON ? BURNER
CPFT FT ATMO
CPFT FT AUTO
CPFT FT BURN 0.008
FT FT AUTO 0.008
FT FT BURN 0.005
FT FT HAND 0.005
FTFB FT AUTO 0.008
FTFB FT BURN
FTHR FT AUTO
FTSM FT AUTO 0.005
FTVT FT AUTO
WT WT AUTO 0.01
WT WT BURN 0.006
WT WT HAND
WT WT STOK
FIRE TUBE FT AB
FIRE TUBE FT AUGER
FIRE TUBE FT AUTO 0.008
FIRE TUBE FT BLOWER
FIRE TUBE FT CONVEYOR
FIRE TUBE FT GAS
FIRE TUBE FT HAND 0.005
FIRE TUBE FT HAND FIRED
FIRE TUBE FT HOPPER
FIRE TUBE FT MAN
FIRE TUBE FT MANAUL
FIRE TUBE FT MANUAL 0.005
FIRE TUBE FT MANUEL
FIRE TUBE FT MECH
FIRE TUBE FT NAT GAS
FIRE TUBE FT STOKER 0.007
H RET TUBE AUTO
HOT OIL ? AUTO 0.008
HOT OIL ? STOKER
MINIATURE ? AUTO
MINIATURE ? ELEC
V TUBELESS ? AUTO 0.008
V TUBELESS ? ELEC
V TUBELESS ? FISSION
V TUBELESS ? HAND
V TUBELESS ? NAT GAS
WATER TUBE WT AB
WATER TUBE WT AUTO 0.01
WATER TUBE WT ELEC
WATER TUBE WT GAS 0.01
WATER TUBE WT MANUEL
WATER TUBE WT NAT GAS
WATER TUBE WT PULVERIZER
WATER TUBE WT STOKER 0.008
WT COILED WT AUTO 0.01
WT COILED WT NAT GAS 0.01

Notes:
FT = firetube
WT = watertube
CI = cast iron

If no multiplier is available, the heating surface was not converted to mmBtu/hr.SIC CodeDescription SIC CodeDistillateLiquidsResidualLiquidsWood/Biomass Coal All Fuelspct_DistillateLiquidspct_ResidualLiquidspct_Wood/Biomass pct_Coal pct_All Fuels82 Educational Services 393 4 1 1 9044 41.2% 17.4% 7.7% 33.3% 35.8%65 Real Estate35 3525 3.7% 0.0% 0.0% 0.0% 13.9%80 Health Services 186 2724 19.5% 0.0% 0.0% 0.0% 10.8%86 Membership Organizations 37 1 2193 3.9% 0.0% 7.7% 0.0% 8.7%70 Hotels And Other Lodging Places 56 1 1700 5.9% 0.0% 7.7% 0.0% 6.7%91 to 98 Government-Owned Buildings (State, Local, and Federal) 62 1540 6.5% 0.0% 0.0% 0.0% 6.1%72 Personal Services, Membership-Basis Organization Hotels 26 825 2.7% 0.0% 0.0% 0.0% 3.3%75 Auto Repair, Services, And Parking 13 12 684 1.4% 52.2% 0.0% 0.0% 2.7%79 Amusement & Recreation Services, Video Tape Rental 14 532 1.5% 0.0% 0.0% 0.0% 2.1%20 Food And Kindred Products 57 2 523 6.0% 0.0% 0.0% 66.7% 2.1%58 Eating And Drinking Places 11 460 1.2% 0.0% 0.0% 0.0% 1.8%53 General Merchandise Stores 6 302 0.6% 0.0% 0.0% 0.0% 1.2%60 Depository Institutions 4 264 0.4% 0.0% 0.0% 0.0% 1.0%Unknown Unknown7 158 0.7% 0.0% 0.0% 0.0% 0.6%87 Engineering & Management Services 7 2 97 0.7% 8.7% 0.0% 0.0% 0.4%48 Communication 9 91 0.9% 0.0% 0.0% 0.0% 0.4%55 Automotive Dealers & Service Stations 7 5 91 0.7% 21.7% 0.0% 0.0% 0.4%83 Social Services78 0.0% 0.0% 0.0% 0.0% 0.3%59 Miscellaneous Retail1 59 0.0% 0.0% 7.7% 0.0% 0.2%84 Museums, Botanical, Zoological Gardens 2 51 0.2% 0.0% 0.0% 0.0% 0.2%51 Wholesale Trade--Nondurable Goods 3 36 0.3% 0.0% 0.0% 0.0% 0.1%64 Insurance Agents, Brokers, & Service35 0.0% 0.0% 0.0% 0.0% 0.1%47 Transportation Services30 0.0% 0.0% 0.0% 0.0% 0.1%24 Lumber And Wood Products 1 9 27 0.1% 0.0% 69.2% 0.0% 0.1%54 Food Stores26 0.0% 0.0% 0.0% 0.0% 0.1%02 Agricultural Production--Livestock 3 24 0.3% 0.0% 0.0% 0.0% 0.1%42 Trucking And Warehousing 1 24 0.1% 0.0% 0.0% 0.0% 0.1%73 Business Services 2 21 0.2% 0.0% 0.0% 0.0% 0.1%50 Wholesale Trade--Durable Goods 2 19 0.2% 0.0% 0.0% 0.0% 0.1%40 Railroad Transportation 4 18 0.4% 0.0% 0.0% 0.0% 0.1%52 Building Materials & Garden Supplies12 0.0% 0.0% 0.0% 0.0% 0.0%45 Transportation By Air, Water Transportation Services11 0.0% 0.0% 0.0% 0.0% 0.0%43 U.S. Postal Service9 0.0% 0.0% 0.0% 0.0% 0.0%56 Apparel And Accessory Stores9 0.0% 0.0% 0.0% 0.0% 0.0%57 Furniture And Homefurnishings Stores9 0.0% 0.0% 0.0% 0.0% 0.0%17 Special Trade Contractors 3 8 0.3% 0.0% 0.0% 0.0% 0.0%14 Nonmetallic Minerals, Except Fuels 1 3 0.1% 0.0% 0.0% 0.0% 0.0%23 Apparel And Other Textile Products 1 3 0.1% 0.0% 0.0% 0.0% 0.0%81 Legal Services3 0.0% 0.0% 0.0% 0.0% 0.0%01 Agricultural Production - Crops2 0.0% 0.0% 0.0% 0.0% 0.0%41 Local And Interurban Passenger Transit2 0.0% 0.0% 0.0% 0.0% 0.0%76 Miscellaneous Repair Services, Automotive Services, except Repair2 0.0% 0.0% 0.0% 0.0% 0.0%07 Agricultural Services1 0.0% 0.0% 0.0% 0.0% 0.0%09 Fishing, Hunting, And Trapping1 0.0% 0.0% 0.0% 0.0% 0.0%16 Heavy Construction, Ex. Building1 0.0% 0.0% 0.0% 0.0% 0.0%26 Paper And Allied Products1 0.0% 0.0% 0.0% 0.0% 0.0%44 Water Transportation1 0.0% 0.0% 0.0% 0.0% 0.0%Grand Total 953 23 13 3 25279Number of Boilers > Than 10 mmBtu/hr Percentage in SIC CodeAppendix B-1: Small (<10 mmBtu/hr) Boiler Distribution by Two-Digit SIC CodeSIC CodeDescription SIC CodeDistillateLiquidsResidualLiquidsWood/Biomass Coal All Fuelspct_DistillateLiquidspct_ResidualLiquidspct_Wood/Biomass pct_Coal pct_All FuelsUnknownUknown6 24 3.6% 0.0% 0.0% 0.0% 2.9%02Agricultural Production--Livestock3 17 1.8% 0.0% 0.0% 0.0% 2.0%17Special Trade Contractors2 3 1.2% 0.0% 0.0% 0.0% 0.4%20Food And Kindred Products28 3 163 16.6% 0.0% 14.3% 0.0% 19.4%24Lumber And WoodProducts14 16 0.0% 0.0% 66.7% 0.0% 1.9%45Transportation By Air,Water TransportationServices1 5 0.6% 0.0% 0.0% 0.0% 0.6%48Communication2 0.0% 0.0% 0.0% 0.0% 0.2%50Wholesale Trade--DurableGoods1 1 6 0.6% 0.0% 4.8% 0.0% 0.7%51Wholesale Trade--Nondurable Goods4 3 1 13 2.4% 100.0% 4.8% 0.0% 1.5%53General MerchandiseStores3 15 1.8% 0.0% 0.0% 0.0% 1.8%57Furniture AndHomefurnishings Stores1 0.0% 0.0% 0.0% 0.0% 0.1%59Miscellaneous Retail1 0.0% 0.0% 0.0% 0.0% 0.1%60Depository Institutions4 0.0% 0.0% 0.0% 0.0% 0.5%64Insurance Agents, Brokers,& Service1 4 0.6% 0.0% 0.0% 0.0% 0.5%65Real Estate1 1 23 0.6% 0.0% 0.0% 25.0% 2.7%70Hotels And Other LodgingPlaces3 7 1.8% 0.0% 0.0% 0.0% 0.8%72Personal Services,Membership-BasisOrganization Hotels5 16 3.0% 0.0% 0.0% 0.0% 1.9%73Business Services3 0.0% 0.0% 0.0% 0.0% 0.4%75Auto Repair, Services, AndParking2 0.0% 0.0% 0.0% 0.0% 0.2%79Amusement & RecreationServices, Video TapeRental2 0.0% 0.0% 0.0% 0.0% 0.2%80Health Services68 1 205 40.2% 0.0% 0.0% 25.0% 24.3%82Educational Services25 1 222 14.8% 0.0% 0.0% 25.0% 26.4%86Membership Organizations1 11 0.6% 0.0% 0.0% 0.0% 1.3%87Engineering & ManagementServices1 0.0% 0.0% 0.0% 0.0% 0.1%91 to 98 Government-Owned Building17 2 1 76 10.1% 0.0% 9.5% 25.0% 9.0%Grand Total 169 3 21 4 842Number of Boilers > Than 10 mmBtu/hr Percentage in SIC CodeAppendix B-2: Large (≥10 mmBtu/hr) Boiler Distribution by Two-Digit SICCSICKeywordsOther Criteria20(Like '*food*' Or Like '*brew*' Or Like '*bake*' Or Like '*baki*' Or Like '*beverage*' Or Like '*feed*' Or Like '*meat*' Or Like '*beef*' Or Like '*poultry*' Or Like '*soy*' OrLike '*fleisch*' Or Like '*malt*' Or Like '*bottl*' Or Like '*sugar*' Or Like '*coca*' Or Like '*frito*' Or Like '*cracker*' OrLike '*dair*' Or Like '*milk*' Or Like '*cheese*' OrLike '*distill*' Or Like '*mill *' Or Like '*soup*' Or Like '*corn *' Or Like '*potato*' Or Like '*heinz*' Or Like '*agri*' OrLike '*ingredients*' Or Like '*citrus*' Or Like'*BUSCH*' Or Like '*grain*' Or Like '*brand*' Or Like '*nutrition*' Or Like '*Archer Daniel*' Or Like '*cand*' Or Like '*packing*' Or Like '*kraft*') And Not Like '*legion*'And Not Like '*grocer*' And Not Like '*condo*'21Like '*textile*'24Like '*lumber*' Or Like '*flooring*' Or Like '* wood *' Or Like '*plywood*' Or Like '*hardwood*' Or Like '*mould*' Or Like '*willamette*' Or Like '*timber *' Or Like '*forestproduct*' Or Like '*paperboard*' Or Like '*sawmill*' Or Like '*veneer*' Or Like '*forest prod*' Or Like '*cascade*' Or Like '*weyerhae*' Or Like '*cabinet*'26Like '*paper*' Or Like '*pulp*' Or Like '*mill*'SIC IS NOT "20"28Like '*chemical*' Or Like '*rubber*' Or Like '*phamaceut*'32Like '*steel *' Or Like '*Nucor*' Or Like '*IPSCO*'49Like '*electric*' Or Like '*cogen*' Or Like '*power*'51(Like '*oil*' Or Like '*petroleum*' Or Like '*terminal*' Or Like '*fuel*' Or Like '*commodit*' Or Like '*pipe*' Or Like '*distribut*') And Not Like '*school*'58Like '*diner*' Or Like '* bar *' Or Like '*cafe*' Or Like '*grill*' Or Like '*tavern*' Or Like '*deli*' Or Like '*steakhouse*'Or Like '*restaurant*'60(Like '*bank*' Or Like '* asset *' Or Like '*credit*' Or Like '*solomon smith*') And Not Like '*apts*' And Not Like '*apartment*'65(Like '*apt*' Or Like '*apartm*' Or Like '*hous*' Or Like '*mgmt*' Or Like '*management*' Or Like '*realty*' Or Like '*theater*' Or Like '*pier*' Or Like '*center*' Or Like'*dock*' Or Like '*home*' Or Like '*garden*' Or Like '*courts*' Or Like '*park*' Or Like '*condo*' Or Like '*propert*' Or Like'*bldg*' Or Like '*building*' Or Like '*tower*')And Not Like '* inn *' And Not Like "*' college '*" And Not Like '*courthouse*' And Not Like '*court house*'70Like '*hotel*' Or Like '*motel*' Or Like '*resort*' Or Like '*casino*' Or Like '* inn *' Or Like '*red roof*'72(Like '*funeral*' Or Like '*cremator*' Or Like '*laundr*' Or Like '*dry clean*' Or Like '*cleaner*' Or Like '*linen*' Or Like '*uniform*' Or Like '*garmet*' Or Like '*barber*'Or Like '*salon*' Or Like '*manicure*' Or Like '*cosmetology*' Or Like '*beauty*') And Not Like '*college*'80(Like '*hosp*' Or Like '*psych*' Or Like '*mental*' Or Like '*rehab*' Or Like '*clinic*' Or Like '*surgery*' Or Like '*hygeine*' Or Like '*health*' Or Like '*medical*') AndNot Like '*animal*'82Like '*librar*' Or Like '*seminar*' Or Like '*academ*' Or Like '*school*' Or Like '*educat*' Or Like '*circulat*' Or Like '*univ*' Or Like '*suny*' Or Like '*vocation*' Or Like'*H S*' Or Like '*board of educ*' Or Like '*bd of ed*' Or Like '* elem*'86Like '*YMCA*' Or Like '*church*' Or Like '*temple*' Or Like '*mosque*' Or Like '*convent*' Or Like '*sister*' Or Like '*relig*'Or Like '*shrine*' Or Like '*jew*' Or Like'*methodist*' Or Like '*baptist*' Or Like '*luther*'97(Like '*military*' Or Like '*marine corp*' Or Like '*army*' Or Like '*AFB*' Or Like '*usaf *' Or Like '*navy*' Or Like '*naval*' Or Like '*armory*' Or Like '*defense*' Or Like'*air force*' Or Like '* guard *' Or Like '*ammunition*') And Not Like '*salvation*' And Not Like '*volunteer*' And Not Like '*bank*'87(Like '*engineer*' Or Like '*research*' Or Like '*technolog*' Or Like '* lab*') And Not Like '*school*' And Not Like '*college*' And Not Like '*univ*' And Not Like '*apts*'And Not Like '*animal*'92(Like '*prison*' Or Like '*correction*' Or Like '*justice*' Or Like '*juvenile*' Or Like '*youth center*' Or Like '*penitentiar*' Or Like '*jail*' Or Like '*sheriff*' Or Like '*publicsafety*' Or Like '*police*' Or Like '*fire*' Or Like '*rescue squad*' Or Like '*ambula*') And Not Like '*college*' And Not Like'*not apts*' And Not Like '*apartment*' AndNot Like '*restaurant*' And Not Like '*golf*'Appendix B-3: Keywords for SIC Assignments at Inventories without Industrial Classifications