VI

- 1 Appendix VI

2025 Project ion Emissions Inventor y

1.0 Projection Emissions Inventor y Introduction

In order to determine future inventory trends it is necessary to first grow the base inventory to the year of interest and then account for the reductions ach ieved from any control measures,

F ederal or State, which were applicable prior to or in that year. The starting inventory for the projections is the 2007 emission inventories for emissions in tons per year for fine particulate matter (PM 2.5 ), oxides of ni trogen (NO

x ), and sulfur dioxide (SO 2 ). The projected emission inventories are “grown” from the 2007 actual emission inventory and then “controlled”.

In order to project future year emissions, it is necessary to determine appropriate growth factors

and t he applicable control efficienc ies . The projected emission inventories for 2007 were calculated by first estimating growth in each source category, in each of the inventory sectors (point, area, nonroad, onroad). As appropriate, the 2007 actual emission inventories were used as the base for applying factors to account for inventory growth. The United States Environmental Protection Agency (USEPA) preferred approach for projecting emissions growth incorporates locality

- specific estimates 1 such as popula t ion, employment, historical averaging or other category specific activity such as fuel consumption, product output, vehicle miles traveled, equipment populations.

Annual growth rates were evaluated for each of the emission categories, in each of the four emission sectors (point, area, nonroad, onroad). In three of the emission sectors (point, area, MAR( nonroad marine, air and rail ) ) growth factors were calculated for a specific range of years and used in spreadsheets or databases to calculate future year emissions. Nonroad equipment growth was projected u tilizing the USEPA National NONROAD Emissions Model and other

F ederal and state specific data. Onroad growth was projected using travel demand models.

Once the emission inventories are grown, the next s tep is to determine which control measures within each of the various emission sectors would be in place during or prior to that year, and

includes the emission reduction benefits from those control measures at that time. The combined effect of growth and controls represents the inventory projection. Post

- 2007 control measure benefits (including benefits from pre

- 2007 and post

- 2007 rules) were applied to each emission sector as appropriate.

The 2025 projection emissions inventory was prepared with the s upport of the Mid

- Atlantic Regional Air Management Association (MARAMA) and its contractors, AMEC Environment and Infrastructure and SRA International, Inc. A copy of the Technical Support Document 2
prepared by AMEC and SRA for MARAMA is included as At ta chment 1 to this appendix.

1 Economic Growth Analysis System Version 4.0 Reference Manual, E.H. Pechan & Associates, Inc., January 26,

2001.

2 AMEC and SRA for MARAMA. Technical Support Document for the Development of the 20 25 Emission Inventory

for PM Nonattainment Counties in the MANE

- VU Region Version 3.3 , Rev.1 . AMEC Environment and Infrastructure and SRA International, Inc for Mid

- Atlanti c Regional Air Management Association (MARAMA), January 23, 2012.VI

- 2 2.0 Point Sources

2.1 Growth

Estimated growth factors were applied to the base inventory at the source classification codes (SCC) and equipment unit level. SCCs are the USEPA’s primary identifying emission element

codes. Fo r point sources they are made up of 8

- digits which contain 4 levels of the description. The first level uses the first digit and provides the most general information on the category of the emissions. There are five major categories, which split the majo r industries into groups. The categories are external combustion boilers, internal combustion sources, manufacturing processes, petroleum and solvent evaporation, and waste disposal. The second level of description is associated with the first 3

- digits o f the code and subdivides them into the above mentioned industry groups. The third level of description includes the first six digits and identifies a specific industry or emission source category. The fourth level of description is

associated with the f ull eight

- digit code. The last 2 digits specify the particular emitting process.

Growth was estimated in the point source sector by using actual estimated data submitted to the NJDEP through the Emission Statement Program

, the USDOE’s Annual Energy Outlo ok Projections, and employment projections from the New Jersey Department of Labor. Specifically, the EGU sector growth was based on the AEO2011, and the non

- EGU growth was based on New Jersey Department of Labor’s employment projections and actual estimat ed data submitted to the NJDEP through the Emission Statement Program

. Estimated negative growth predictio ns based on this data was assumed to be no growth in order to be conservative and to account for the NJDEP’s offset emission credit banking program. Existing facility shutdowns or anticipated facility shutdowns were also left in the inventory to account for NJDEP ’s offset emission credit banking program

.

The growth factors are shown in the point source emission inventory by unit in Appendix V,

Attachm ent 4.

2.2 Controls

New Jersey and the USEPA have implemented control measures that reduce point source emissions of air pollutants. In developing the 2 025 projection inventory , control efficiency

factors for post

- 2007 rules were applied to the 2025 g rown, uncontrolled emissions inventory in

order to estimate the projected 2025 emissions inventory. The equation that was used to project emissions in a future year, y, incorporating growth and the application of new control measures between year x and ye ar y is:

E y = E x * GFx

- y * [1

- (CE * RE * RP)x

- y]

where: Ey = Controlled emissions in year y Ex = Controlled emissions in year x

GFx

- y = Growth factor used to grow emissions from year x to

year y CE = C ontrol efficiency factor for a c ontrol measure implemented between years X and Y

RE = Rule Effectiveness Factor

RP = Rule Penetration Factor

CF=Control Factor = [1

- (CE * RE * RP)x

- y]VI

- 3 The control factors (CF) applied to the 2025 inventory are shown in the point source emissio n inventory in Appendix V, Attachment 4. The 2007 emission inventory was used as a base for the projection inventory

. The existing control measures which reduce point source emissions

for PM 2.5 , NO

x , and SO 2 in the projection inventory from 2007 to 2025 are shown in Table 1.

Table 1

Point Source Control Measures

Federal or

State Control Measure New Jersey

Administrative Code Pollutants

New Jersey EGUs

- PSE&G Consent Decrees (Hudson and Mercer) NA PM, SO 2 , NO

x New Jersey EGUs

- Coal

- fired Boilers NJAC 7:27

- 4.2, 10.2,

19.4 PM, SO 2 , NO

x New Jersey EGUs

- Oil and Gas Fired NJAC 7:27

- 4.2, 10.2,

19.4 NO

x

New Jersey EGUs

- High Electric Demand Day (HEDD) Program NJAC 7:27

- 19.29 SO 2 , NO

x

Federal ICI Boiler MACT NA PM, NO

x Federal RICE MACT NA PM, NO

x Fe deral Refinery Consent Decrees (Sunoco, Valero, and ConocoPhillips) NA PM, SO 2 , NO

x

New Jersey ICI Boiler Ru le 2006 NJAC 7:27

- 16.8, 19.7 NO

x New Jersey ICI Boiler Rule 2009 NJAC 7:27

- 19.7 NO

x New Jersey Asphalt Production Plants Rule NJAC 7:27

- 19.9 NO

x New Jersey Glass Manufacturing NJAC 7:27

- 19.10 NO

x New Jersey Low Sulfur Distillate and Residual Fuel Strategies NJAC 7:27

- 27.9 SO 2

New Jersey Municipal Waste Combustors (Incinerators) NJAC 7:27

- 19.13 PM, NO

x

New Jersey Sewage and Sludge Incinerators NJAC 7:27

- 19.28 NO

x New Jersey Case by Case NO

x Emission Limit Determinations (FSELs/AELs) NJAC 7:27

- 19.13 NO

x

The control measures are discussed below.

EGUs

– PSE&G Administrative Consent Order

Public Service Electric & Gas’ (PSEG) Consent Decree app lies to Hudson unit 2, Mercer units 1 and 2, and Kearny units 7 and 8. Per the Consent Decree, Kearny units 7 and 8 were shut down in 2007, and therefore, no additional post

- 2007 emissions reduction was included in the projection inventory.

The Consent D ecree required Mercer units 1 and 2 to install selective catalytic reduction (SCR) by 2007 to control NO

x , therefore, no additional post

- 2007 NO

x reduction was included in the projection inventory. Hudson unit 2 was required to install SCR by 2010. After the installation of the SCRs, the three units can emit NO

x at no greater than 0.100 lb/mmBtu, based on a 30

- day rolling average emission rate.VI

- 4 The Consent Decree required Hudson unit 2 and Mercer units 1 and 2 to install flue gas desulfurization system ( FGD) to control SO 2 by 2010. After the installation of the FGDs, the

three units can emit SO 2 at no greater than 0.150 lb/mmBtu, based on a 30

- day rolling average

emission rate.

The resulting emissions reduction from the Consent Decree is 2,015 tons NO

x , 15,681 tons of

SO 2 , and 1,786 tons of direct PM. No rule effectiveness is required for this because these

reductions are not based on any rules

.

EGUs

- Coal

- fired Boilers

T he State amended its rules governing coal

- fired boilers at N.J.A.C. 7:27

- 4.2 add ressing PM emissions, N.J.A.C. 7:27

- 10.2 addressing SO 2 emissions from sol id fuel, and N.J.A.C. 7:27

- 19.4 addressing NO

x emissions , which were adopted on March 20, 2009. At the time of the rule proposal , there were ten coal

- fired boilers serving EGUs, wit h the Logan unit and the Carney unit 1 and 2 already in complian ce. Since then, the Hudson unit 2 and Mercer unit 1 and 2 have installed controls for PM, NO

x , and SO 2 , per the ACO (see above Administrative Consent

Order ); the Vineland unit 10 has stopped burning coal per its ACO; and, the Deepwater unit has switch to natural gas. The State is finalizing the ACO with BL England to have their two units meet the limits by the applicable date of 2015; BL England’s options are to install control devices, switc h fuel, or shut down.

There is no additional reduction for this rule in the two PM nonattainment areas because the only coal

- fired units in these areas are already controlled under the above Administrative

Consent Order. Additional reductions would com e from coal

- fired units located outside of the

two PM nonattainment areas.

EGUs

- Oil and Gas Fired Boilers

Along with amended limits for coal

- fired boilers for EGUs in the March 20, 2009 rule

amendments , the amendments at N.J.A.C. 7:27

- 19.4 address NO

x emissions for oil and gas

fired boilers. The se amendments are estimated to achieve emission reduction s of 352 tons of

NO

x and 176 tons of SO 2

. A rule effectiveness of 100% was applied because these units have

CEMS.

High Electric Demand Day (HEDD)

As pa rt of the March 20, 2009 rule amendments , the State adopted new rule s at N.J.A.C. 7:27

- 19.29 to address the NO

x emissions from High Electric Demand Day (HEDD) units. This rule focuses on units that are electric generating units capable of generating 15 MW or more and are operated less than or equal to an average of 50 percent of the time during the previous three

ozone seasons. The State tightened the emission standards for HEDD units because these units emit significant quantities of NO

x on high electric demand days, whi ch are typically high temperature and high ozone days during the summer. At the time of the proposal , the HEDD units in New Jersey consist ed of eight boilers and approximately 160 stationary combustion

turbines.

The HEDD rule has two p hases, a short term strategy and a long term strategy. The short term strategy at N.J.A. C. 7:27

- 19.29 achieves NO

x emission reductions from some HEDD units starting in 2009, which achieve 19.8 tpd of NO

x emission reductions on high electric demand days. This allows all companies with affected electric generating units time to develop andVI

- 5 implement the long term strategy at N.J.A.C. 7:27

- 19.30 to achieve the more stringent emission performance standards at the amended N.J.A.C. 7:27

- 19.4 and 19.5 by 2015.

Because the HEDD rule is for high electric demand days when high ozone is most likely to

occur , the emissions reduction s during those days is quite significant (tons/hour or tons/day)

. But it is more difficult to quantify reductions on an annual basis , as the amount of high electric demand days in a year is not known and spread out over 365 days appears less significant, and therefore, is not quantified in this inventory.

USEPA Maximum Available Control Technology (MACT) Standards

As discussed in the “Technical Supporting Document for the Development of the 2025 Emission Inventory for PM Nonattainment Counties in the MANE

- VU Region Version 3.3”, prepared by AMEC Environmental & Infrastructure, dated January 23, 2012, it discussed how post

- 2007

MACT st andards were applied on a general scale to all sources with certain SCCs. Every source with a SCC determined to be affected by a post

- 2007 MACT standard was assigned an incremental percent reduction for the entire applicable MACT standard. Exhibit 3.3 in Section

3.3.3.1 of the TSD lists the SCCs the RICE MACT impacts and the expected emissions reduction for each SCC. Also in 3.3.3.1 of the TSD is the reduction expected from the ICI Boiler MACT. For all the reductions from MACT sources, a rule effectiven ess of 80% was applied in

the calculation files.

Refinery Enforcement Action s

The USEPA’s national Petroleum Refinery Initiative was an integrated enforcement and compliance strategy to addresses air emissions from the nation’s petroleum refineries. Th e four refineries located in New Jersey are Valero Refining, Conoco Phillips, Citgo, and Sunoco Coastal Eagle Point. The major refinery sources that were affected by the judicial settlement are FCCUs, flare gas recovery, and equipment leaks. The Fluid Ca talytic Cracking Units (FCCUs) or cracking units was to reduce NO

x emissions by 60%. Flare gas recovery was to

have a 53% reduction in both VOC and NO

x emissions. Lastly, leak detection and repair was to

have a 50% control on VOC emissions. These reduct ions are based on Table A

- 1 through A

- 8 in the “Assessment of Control Technology Options For Petroleum Refineries in the Mid

- Atlantic Region” report from January 2007 prepared by MACTEC for MARAMA. A r ule effectiveness of

100% was applied to th ese control s because these reductions are specifically written into

enforcement actions for these individual facilities.

Since the release of the Petroleum Refinery Initiative, Citgo no longer is a petroleum refinery and Sunoco Coastal Eagle Point has ceased all ref inery operations.

NO

x Reasonably Available Control Technology (RACT) Rule 2006 ( Industrial/Commercial/Institutional (ICI) Boilers Rule 2006)

Rule amendments to N.J.A.C. 7:27

- 19 were adopted in November 2005 , affecting large natural gas fired boilers > 1 00 million British thermal units/hour (mmBtu/hr) by reducing their NO

x emission limit from < 0.20 to < 0.10 lb/mmBtu. Annual tune

- ups are required for all boilers greater than 5 mmBtu/hr phased

- in starting in 2007 and ending in 2010. Oil

- fired combustion

t urbines are subject to lower NO

x emission limits. Combined or regenerative cycle will have their emission limit reduced from 0.35 lb/MMBtu to 0.26 lb/mmBtu. Simple cycle turbines will be reduced from 0.4 lb/mmBtu to 0.3 lb/mmBtu. Reciprocating engines b urning natural gas and diesel also had their emission limits tightened. The new limits implemented in this rule were effective in 2007 and are therefore reflected in the 2007 base inventory. The annual tune

- upsVI

- 6 for boilers phased in after 2007 were refle cted in the 2025 projection inventory as shown in

Table 2 below.

Table 2

Point Source Emissions Reductions from the NO

x RACT Rule (2006)

Boiler Size (mmBtu/hr) Fuel Type Reduction Reduction w/RE

≥ 5 and < 2 0 All 25% 20%

Industrial/Commercial/Institutional (ICI) Boilers Rule 2009

Rule amendments to N.J.A.C. 7:27

- 19 were adopted in March 2009. These amendments set

new NO

x emissions limits for boilers greater than 25 MMBtu/hr

. Table 3 below list s the NO

x emissions reduction from this rule that is applied to the projection inventory based on boiler size.

Table 3

Point Source Emissions Reductions from the ICI Boiler Rule

Boiler Size (mmBtu/hr) Fuel Type Reduction Reduction w/RE

≥ 25 and < 50 Al l 50% 40%

≥ 50 and < 100 Natural Gas 50% 40% Duel Fuel

#2 Fuel Oil 33% 27% Other liquid fuels

≥ 100 #2 Fuel Oil 50% 40%

Asphalt Production Plants

Rule amendments to N.J.A.C. 7:27

- 19 .9 were adopted in March 2009 for Asphalt Production

Plant s . The amendments impacted 70 asphalt production dryers at 51 asphalt pavement production plants in New Jersey. The rule required BMP and the new limit was 75 ppmvd (~0.025 lbs/ton) for natural gas, 100 ppmvd (~0.04 lbs/ton) for No. 2 fuel oil, and 125 p pmvd (~0.05 lbs/ton) for No. 4 or heavier fuel oils/on

- specification used oil. The reduction would be phased in over a 3

- year period, from 20 10 to 20 12

. These amendments were estimated to
reduce NO

x by 35% from these sources . A rule effectiveness of 80% was applied to the estimated control efficiency, resulting in an estimated reduction of 28%.

Glass Manufacturing

Rule amendments to N.J.A.C. 7:27

- 19 .10 were adopted in March 2009 to lower NO

x emissions from glass manufacturing furnaces. There were seve n plants in New Jersey, with a total of 25 furnaces that produce container glass, pressed glass, blown glass, and fiberglass. Nine of these furnaces are electric. Five furnaces use oxy

- firing, which burn nearly pure oxygen, reducing most of the nitrogen that is present in ambient air. These 14 furnaces already comply with the proposed NO

x limits. Two of the remaining 11 furnaces are temporarily inactive. The rule require d the remaining nine furnaces to implement additional emission control measures to comply with the proposed emission limit. These amendments were estimated to reduce NO

x byVI

- 7 50 % from these sources . A rule effectiveness of 80% was applied to the estimated control efficiency, resulting in an estimated reduction of 40 %.

Low Sulfur Distill ate and Residual Fuel Oil Rule

In 2010, the State adopted amendments to its Sulfur in Fuels rule, N.J.A.C. 7:27

- 9, which will

reduc e the sulfur content in #2 fuel oil to 15 ppm, #4 fuel oil to 2,500 ppm, and #6 fuel oil to 5,000 ppm by 2016

. The % reduct ion (or CE) from the rule was calculated based on the difference between the existing New Jersey limits and the future effective limits in the rule. A rule effectiveness of 80% and a rule penetration of 100% was applied. The resulting %

reductions and con trol factors for SO 2 emission reductions expected by 2016 are summarized in

Table 4.

Table 4

Sulfur in Fuels Rule Control Factors for SO 2

County #2 Fuel Oil/Kerosene #4 Fuel Oil

%

Reduction

without

RE %

Reduction

with RE Control

Factor

with

RE %

Redu ction

without

RE %

Reduction

with RE Control

Factor

with RE

Bergen Middlesex 99% 79% 0.21 17% 13% 0.87
Burlington Monmouth

Camden Morris

Essex Passaic

Gloucester Somerset

Mercer Union

Hudson 99% 79% 0.21 38% 30% 0.7

Municipal Waste Combustors (Incinerators)

Rule amendments to N.J.A.C. 7:27

- 19 .12 were adopted in March 2009 to address the NO

x emissions from municipal solid waste (MSW) incinerators, with maximum allowable NO

x emi ssion concentration of 150 parts million by volume. There are 13 MSW incinerators at five resource recovery facilities in Essex, Union, Camden, Gloucester and Warren counties. The four facilities in Essex, Union, Warren and Gloucester counties, with 10 M SW incinerators, have SNCR installed, which will enable these facilities to meet the 150 ppmvd limit. Camden County Resource Recovery facility’s three MSW incinerators do not have SNCR, and therefore, would need to install control device system on each in cinerator to reduce the NO

x emissions to meet

the limit. These amendments were estimated to reduce NO

x by 37 % from these sources . A rule effectiveness of 80% was applied to the estimated control efficiency, resulting in an

estimated reduction of 29.6 %.

Sewage and Sludge Incinerators

Rule amendments to N.J.A.C. 7:27

- 19 .28 were adopted in March 2009 to establish maximum

allowable NO

x emission rates for sewage sludge incinerators. The State ’s RACT maximum

allowable NO

x emission rates for sewage sludge inc inerators at N.J.A.C. 7:27

- 19.28 will not provide additional emissions reduction at these incinerators, as they all are currently complying

with the new maximum allowable emission rates.VI

- 8 Case by Case NO

x Emission Limit Determinations (FSELs/AELs)

Rule am endments to N.J.A.C. 7:27

- 19 .13 were adopted in March 2009 which require each facility with an alternative maximum allowable NO

x emission rate approved before May 1, 2005 to submit a new request for an alternative maximum allowable emission rate 60 days af ter the operative date of these amendments. The State expects the amendments to impact approximately 25 facilities. The amount of emissions reductions that the amendments to the alternative and facility

- specific maximum allowable emission rate rules will achieve depends on the alternative maximum allowable emission rate or facility

- specific maximum allowable emission rate that a facility applies for, and that the State approves. Because the emissions reduction will depend on each facility that request AEL s, the reduction is not quantifiable at this

time.

2.3 Point Source Emission Inventory

Table 5 summarizes the 2025 projected point source emission inventory by county for PM 2.5 , NO

x and SO 2

. Appendix V

, Attachments 2

, 3 and 4

, contain the detailed point source emission

inventories. These attachments are only available electronically.

Table 5 2025 Point Source Emission Inventory by County and Pollutant

County PM 2.5 * Tons per Year NO

x Tons per Year SO 2 Tons per Year
New Jersey Portion of Northern N J

- NY

- CT NAA

Bergen 229 969 47

Essex 272 2,705 213

Hudson 293 1,863 662

Mercer 1,047 2,090 1,895

Middlesex 512 2,218 270

Monmouth 34 187 35

Morris 35 182 34

Passaic 6 88 10

Somerset 80 254 34

Union 735 2,898 700

Total 3,243 13,454 3,900

New Jer sey Portion of Southern NJ

- P hila. NAA Burlington 183 535 148

Camden 174 709 77

Gloucester 501 3,189 1,130

Total 859 4,432 1,355

* These totals include adjusted emissions from fugitive dust categories.VI

- 9 3.0 Area Sources

3.1 Growth

Growth factors w ere calculated for area sources utilizing state population projections, USDOE fuel consumption projections, employment projections from the New Jersey Department of Labor, and state specific indicators such as vehicle miles traveled.

A summary table which shows the growth factors and growth rate (in percent per year) for each SCC category and the indicators for those growth factors is inclu ded as Table 1 in Attachment 2 of this appendix

.

Population

Projected population is the most appropriate growth ind icator to use for certain source categories whose emissions are calculated using population such as architectural coatings, consumer products and graphic arts.

For transportation planning purposes, New Jersey is divided into three Metropolitan Planning Organizations (MPOs). The three MPOs are the North Jersey Transportation Planning Authority (NJTPA), the South Jersey Transportation Planning Organization (SJTPO) and the Delaware Valley Regional Planning Commission (DVRPC). The MPOs use demographic data in their projection work. The NJDEP used the population projections developed by each of the three MPOs in the State to grow the appropriate categories of the emission inventory.

Population projection data was obtained from the NJTPA, SJTPO, and the DVR PC. The data was combined and straight line interpolation was used to calculate population for the projection years. Statewide growth factors were then calculated using the following equations:

2007

- 2025 Growth Factor = 2025 Statewide Population / 2007 S tatewide Population

2007

- 2025 Growth Rate (percent per year) = {[(2007

- 2025 Growth Factor)^1/y]

– 1} * 100 percent

Where: y = the # of years being analyzed (ex: y = 2025

- 2007 = 18)

A summary table of the population data is included as Table 2, i n Attach ment 2

.

Fuel Consumption

Projected fuel consumption data was obtained from the USDOE Energy Information Administration (EIA), Annual Energy Outlook Report. The growth factors were calculated in the same manner as the population growth factors, using the same equations, but substituting projected fuel consumption for projected population. A summary table of the fuel consumption

data is includ ed as Table 3, in Attachment 2

.

Employment

Projected employment is the most appropriate growth indicator to use for certain source categories whose emissions are calculated using employment such as autobody refinishing andVI

- 10 dry cleaning. It is also the best growth indicator for other categories in which their emissions are calculated using state specific data but st ate specific data projections are not available, such as construction activities, mining and quarrying and agricultural tilling.

Projected employment data was obtained from the New Jersey Department of Labor website. The growth factors were calculated i n the same manner as the population growth factors, using the same equations, but substituting projected employment for projected population. A summary table of the employment data is includ ed as Table 4, in Attachment 2

.

Vehicle Miles Traveled

Projecti ons of vehicle miles traveled (VMT) for 2007 to 2025 were used as the growth factor for projecting emissions from re

- entrained road dust from travel on paved roads. The VMT data was derived from the MOVES modeling discussed in Appendix V

. A summary table of the VMT

data is includ ed as Table 5, in Attachment 2

.

Residential Wood Combustion

Growth and control of the residential wood combustion is incorporated into one factor, per the

USEPA 2005

- based V4 Modeling Platform 3 . The factors account for the USEP A rule that sets new source performance standard (NSPS) for woodstoves. The fact ors are based on estimated

turnover of the old stoves to the new stoves. The estimated combined growth and control rates

are as follows:

• Fireplaces increase 1%/yr

• Old w oodstoves (non

- USEPA certified) decrease 2%/yr • New woodstoves (USEPA certified) increase 2%/yr

Table 6 shows the estimated growth factors by SCC and year.

Table 6

Residential Wood Combustion Growth/Control Factors

SCC SCC Description Assumptions Grow th and

Control Factors

2007

- 2025

2104008000 Total: Woodstoves and Fireplaces 2104008000 total: 1

- 0.01056*(Year

2007) 0.8099

2104008100 Fireplaces: General 2104008100 fireplaces up 1%/yr: 1 + 0.01*(Year

- 2007) 1.180

2104008210 Fireplaces: Insert; non

USEPA certified 2104008210 old inserts down 2%/yr: 1

- 0.02*(Year

- 2007) 0.640

2104008220 Fireplaces: Insert; USEPA certified; non

- catalytic 2104008220 new inserts up 2%/yr: 1 + 0.02*(Year

- 2007) 1.360

2104008230 Fireplaces: Insert; USEPA

c ertified; catalytic 2104008230 new inserts up 2%/yr (same as 2104008220) 1.360

2104008310 Woodstove: freestanding;

non

- EPA certified 2104008310 old woodstoves down 2%/yr (same as 2104008210) 0.640

3 U.S. Environmental Protection Agency. 2020 Emissions Data from EPA’s 2005

- based V4 Modeling Platform; Projection and Control Factors . Provided to MARAMA by Rich Mason on April 15, 2010.VI

- 11 2104008320 Non

- catalytic Woodstoves:

free standing; EPA certified 2104008320 new woodstoves up 2%/yr (same as 2104008220) 1.360

2104008330 Catalytic Woodstoves: freestanding; EPA certified 2104008330 new woodstoves up 2%/yr (same as 2104008220) 1.360

2104008400 Woodstoves: pellet

- fired, general; EPA certified 2104008400 new woodstoves up 2%/yr (same as 2104008220) 1.360

2104008510 Wood;Furnace:Indoor,

cordwood

- fired; non

- EPA

certified 2104008510 old wood furnaces down 2%/yr (same as 2104008210) 0.640

2104008610 Wood;Hydronic heate r: outdoor 2104008610 hydronic heaters up 1%/yr(same as 2104008100) 1.180

2104008700 Outdoor woodburning device, NEC 2104008700 outdoor woodburning devices up 1%/yr (same as 2104008100) 1.180

2104009000 Firelog /Total: All Combustor Types 2104008700 fire logs up 1%/yr (same as 2104008100) 1.180

No Growth

No growth was projected for wildfires, managed burning, motor vehicle fires

, structural fires

, incineration, open burning, agricultural field burning, cigarette smoking and unpaved roads.

3.2 Control s

Overview

New Jersey and the USEPA have developed and will develop rules that require control measures to reduce area source emissions of air pollutants. In developing the 2007 emissions inventory, control efficiency factors for the NJDEP pre

- 2007 rule s were applied to the 2007 uncontrolled emissions inventory in order to calculate the 2007 “actual” or controlled emissions inventory. In a similar fashion, control efficiency factors (CEs) reflecting post

- 2007 rules, relative to existing rules, were appl ied to the grown emissions inventories, and emission reduction benefits were calculated. The CEs were applied to the grown inventory, to determine emission reduction benefits from the New Jersey rules, relative to the existing rules. These benefits grow in future years in direct relation to the growth factor for the respective emission categories. The equation that was used to project emissions in a future year, y, incorporating growth and the application of new control measures between year x and year y is:

E y = E x * GFx

- y * [1

- (CE * RE * RP)x

- y]

where: Ey = Controlled emissions in year y Ex = Controlled emissions in year x

GFx

- y = Growth factor used to grow emissions from year x to

year y CE = C ontrol efficiency factor for a contr ol measure implemented between years X and Y

RE = Rule Effectiveness Factor

RP = Rule Penetration Factor

CF=Control Factor = [1

- (CE * RE * RP)x

- y]

The control factors (CF) applied to the 2025 inventory are shown in the area source emission

inv entory in Appendix V, Attachment 6. The 2007 emission inventory was used as a base forVI

- 12 the projection inventory . The existing control measures which reduce area source emissions for

PM 2.5 , NO

x , and SO 2 in the projection inventory from 2007 to 2025 are s hown in Table 7

.

Table 7

Area Source PM 2.5 , NO

x and SO 2 Control Measures

Control Measures Sector Pollutant Area Source Category

Federal Residential Woodstove

New Source Performance Standards (NSPS) Area PM 2.5 , NO

x , SO 2 Residential Wood Combustion categ ories, see

Table 6

N ew Jersey ICI Boiler Rule 2006 ( Tune

- up Requirement s) Point

and Area NO

x Industrial Natural Gas Combustion,

Commercial/Institutional Natural Gas Combustion, Industrial Distillate Oil Combustion,

Commercial/Institutional Distillate Oil Combustion, Industrial Residual Oil Combustion, Commercial Institutional Residual Oil Combustion, Industrial LPG Combustion, Commercial/Institutional LPG Combustion,

Federal Maximum Achievable Control Technology for Reciprocating Internal

Combustion En gines (RICE MACT) Point

and Area PM 2.5 , NO

x Industrial Natural Gas Combustion,

Commercial/Institutional Natural Gas Combustion, Industrial Distillate Oil Combustion,

Commercial/Institutional Distillate Oil

Combustion

New Jersey Low Sulfur Fuel Oil

Rule P oint

and Area SO 2 Industrial Distillate Oil Combustion,

Commercial/Institutional Distillate Oil Combustion, Residential Distillate Oil Combustion, Industrial Residual Oil Combustion, Commercial Institutional Residual Oil Combustion,

Industrial LPG Combu stion,

Commercial/Institutional LPG Combustion

A discussion of the control measure control factors is included below.

Control Factors

Residential Woodstove NSPS

Growth and control of the residential wood combustion is incorporated into one factor, per the

USEPA 2005

- based V4 Modeling Platform 4 . The factors account for the USEPA rule that sets new source performance standard (NSPS) for woodstoves. The fact ors are based on estimated

turnover of the old stoves to the new stoves. See detailed discussion under Residential Wood

Combustion discussion above under Growth.

4 U.S. Environmental Protection Agency. 2020 Emissions Data from EPA’s 2005

- based V4 Modeling Platform; Projection and Control Factors . Provided to MARAMA by Rich Mason on April 15, 2010.VI

- 13 Federal RICE MACT

As discussed in the “Technical Supporting Document for the Development of the 2025 Emission Inventory for PM Nonattainment Counties in the MANE

- VU Region Version 3.3” , prepared by AMEC Environmental & Infrastructure, dated January 23, 2012, it discussed how post

- 2007 MACT standards were applied on a general scale to all sources with certain SCCs. Every source with a SCC determined to be affected by a post

- 2007 MACT st andard was assigned an incremental percent reduction for the entire applicable MACT standard. Exhibit 2

- 15 of the TSD

Shows the 

### USEPA Estimated Percent Reductions for the RICE MACT Standard for each

SCC.

Based on EPA estimates

, t here are two different c ontrol factors that were used for the RICE

MACT control in the area source inventory , one for PM 2.5 and one for NO

x . The PM 2.5 control

factor is 0.9243. The NO

x control factor is 0.9203. Th is results in a n 8 % reduction (CE) in NO

x from RICE MACT for ind ustrial, commercial and institutional natural gas combustion and an 8 % reduction (CE) of PM 2.5 for industrial, commercial and institutional distillate oil combustion. A rule effectiveness (RE) of 100% was assumed since the rule is a F ederal measure.

N e w Jersey ICI Boiler Rule 2006 Tune

- Up Requirement s

Rule amendments to N.J.A.C. 7:27

- 19 were adopted in November 2005

, requiring a nnual tune

ups for all boilers greater than 5 mmBtu/hr phased

- in starting in 2007 and ending in 2010.

The estimated control f actor for New Jersey’s ICI boiler tune

- up requirement for area sources is

0.94. This was calculated from an estimated 25% reduction (CE) in NO

x emissions from ICI

boiler tune

- ups, a rule effectiveness (RE) of 80%, and rule penetration (RP) of 30%. The RP of

30% assumes that approximately 30% of the emissions in the fuel combustion categories that the rule applies are coming from ICI boilers. Th is results in an overall estimated emission

reduction of 6%.

Combined Federal RICE MACT and N ew J ersey ICI Boi ler Rule 2006 Tune

- Up Requirement s

There are two categories (industrial and commercial natural gas combustion) where both the

Federal RICE MACT and N ew Jersey ICI Boiler Tune

- Up requirement were applied. In these instances, New Jersey applied only the 7. 97% NO

x reduction (control factor of 0.9203 ) from the Federal RICE MACT rule (the higher reduction of the two rules), rather than combining the benefits of both rules, to be conservative.

Low Sulfur Fuel Oil Rule
In 2010, the State adopted amendments to i ts Sulfur in Fuels rule, N.J.A.C. 7:27

- 9, which will reduce the sulfur content in #2 fuel oil to 15 ppm, #4 fuel oil to 2,500 ppm, and #6 fuel oil to 5,000 ppm by 2016. The % reduction (or CE) from the rule was calculated based on the

difference between t he existing New Jersey limits and the future effective limits in the rule. A rule effectiveness of 80% and a rule penetration of 100% was applied. The resulting %

reductions and control factors for SO 2 emission reductions expected by 2016 are summarized i n Table 4 above under the point source discussion.VI

- 14 3.3 Area Source Emission Inventory

Table 8 summarizes the 2025 projected area source emission inventory by county for PM 2.5 , NO

x and SO 2

. Appendix V , Attachment 6 contain s the detailed area source emission

inventories. These attachments are only available electronically.

Table 8 2025 Area Source Emission Inventory by County and Pollutant

County PM 2.5 * Tons per Year NO

x Tons per Year SO 2 Tons per Year
New Jersey Portion of Northern NJ

- NY

- CT NAA

Bergen 622 2,519 165

Essex 544 2,070 168

Hudson 436 1,523 92

Mercer 297 1,129 76

Middlesex 911 2,198 130

Monmouth 890 1,656 121

Morris 700 1,516 159

Passaic 349 1,137 92

Somerset 486 944 55

Union 382 1,367 97

Total 5,616 16,059 1,157

New Jersey Portion of Southern NJ

- Phila. NAA Burlington 1,563 1,368 105

Camden 409 1,353 93

Gloucester 679 706 62

Total 2,651 3,427 260

* These totals include adjusted emissions from fugitive dust categories.

Overall Emissions Summary

The statewide overall growth rate (with growth and controls) for area sources from 2007 to 2025 is approximately

- 0.05 percent per year for PM 2.5 , - 0.03 percent per year for NO

x and

- 7.80 percent per year for SO 2 . The statewide average growth rates from 2007 to 2025 va ry within the individual SCC categories and pollutants from approximately negative 10.47 percent per year for commercial/institutional distillate oil combustion for SO 2 to 1.74 percent per year for residential woodstoves for all three pollutants.

PM 2.5 E missions Summary

Overall, negative growth is projected in categories such as industrial residual oil, LPG, and distillate oil combustion; commercial/institutional distillate oil and kerosene combustion; residential wood burning of non

- USEPA certified devi ces, residential distillate oil and LPG

combustion.

Overall, no growth is projected in categories such as industrial kerosene combustion; commercial/institutional coal, residual oil, LPG, and kerosene combustion; residential coal andVI

- 15 kerosene combustion; incineration, open burning, agricultural field burning, forest wildfires, cigarette smoke, prescribed burning, structure and motor vehicle fires.

Overall, positive growth from zero to one percent is projected in categories such as residential natural gas combustion, agricultural tilling, construction, commercial/institutional cooking, mining & quarrying, residential wood combustion of fireplaces, firelogs, and outdoor hydronic heaters.

Overall, one to two percent growth is projected for categories such a s commercial/institutional natural gas combustion, paved roads, residential wood combustion of USEPA

– certified woodstoves, fireplace inserts, and pellet

- fired woodstoves.

NO

x Emissions Summary

Ove rall, negative growth is projected in categories such as industrial residual oil and LPG combustion; commercial/institutional distillate, residual oil and LPG combustion; residential

wood combustion of non

- USEPA certified devices, residential distillate and LPG combustion.

Overall, no growth is projected in cat egories such as industrial kerosene combustion, commercial/institutional coal and kerosene combustion, residential coal and kerosene combustion, incineration, open burning, forest wildfires, cigarette smoke, structure and motor

vehicle fires.

Overall, pos itive growth from zero to one percent is projected in categories such as residential natural gas combustion, commercial/institutional natural gas combustion, residential wood combustion of fireplaces, firelogs, and outdoor hydronic heaters.

Overall, one t o two percent growth is projected for categories such as residential wood

combustion of USEPA

– certified woodstoves, fireplace inserts, and pellet

- fired woodstoves.

SO 2 Emissions Summary

O verall, negative growth is projected in categories such as commerc ial/institutional distillate oil and kerosene combustion; residential distillate oil and LPG combustion; industrial distillate oil, kerosene, residual oil, and LPG combustion; and residential wood combustion of non

- USEPA

certified devices.

Overall, no gro wth is projected in categories such as commercial/institutional residual oil combustion; residential coal and kerosene combustion; incineration, and open burning.

Overall, positive growth from zero to one percent is projected in categories such as reside ntial natural gas combustion and residential wood combustion of fireplaces and outdoor hydronic

heaters.

Overall, one to two percent growth is projected for categories such as commercial/institutional natural gas combustion and residential wood combustion of USEPA

– certified woodstoves, fireplace inserts, and pellet

- fired woodstoves.VI

- 16 4.0 Onroad Sources

New Jersey’s 2025 projection emissions inventory for onroad sources is discussed in Appendix

V II

.

5.0 N onroad Sources

Non

- road Mobile Sources incl ude internal combustion engines used to propel marine vessels, airplanes, and locomotives, or to operate equipment such as forklifts, lawn and garden equipment, portable generators, etc. For activities other than marine vessels, airplanes, and

locomotives , the inventory was developed using the most current version of USEPA’s NONROAD model NONROAD2008a (July 2009 version). Since the NONROAD model does not include emissions from marine vessels, airplanes, and locomotives, these emissions were

estimated usin g the latest USEPA guidance or by groups such as the Eastern Regional Technical Advisory Committee (ERTAC) and Starcrest.

5.1 NONROAD Model

The USEPA’s NONROAD model estimates emissions from equipment such as recreational
marine vessels, recreational land

- based vehicles, farm and construction machinery, lawn and garden equipment, aircraft ground support equipment (GSE) and rail maintenance equipment. This equipment is powered by diesel, gasoline, compressed natural gas or liquefied petroleum gas engines.

New Jersey ran the non

- road model for each county included in the PM 2.5 NAA by inputting its own specific fuel parameters and climatological data. New Jersey utilized 2010 year specific meteorology data from the National Oceanic and Atmospheric Administ ration Climatological Data and fuel oil property revisions based on a New Jersey review of a USEPA gasoline formulation survey data (Reid vapor pressure, sulfur content, oxygenate fractions and ethanol volume and content) and diesel fuel sulfur content inc luded in the USEPA “Suggested Nationwide Average Fuel Properties”.

5.1.1 NONROAD Model Inputs

The normal maximum and minimum and average ambient temperatures were compiled from those reported at Newark Airport in 2010 for application to Northe rn New Jersey Counties

located in the PM 2.5 NAA (Bergen, Essex, Hudson, Middlesex, Monmouth, Morris, Passaic, Somerset and Union) and from those reported at Philadelphia Airport in 2010 for application to Southern New Jersey Counties located in the PM 2.5 N AA (Burlington, Camden, Gloucester and Mercer) as specified in table below. Similarly, New Jersey compiled seasonal USEPA Reformulated Fuel Gasoline (RFG) formulations survey data into annual averages for application to the Northern and Southern New Jer sey counties referenced above as specified in

Exhibit 5.1.1 below.VI

- 17 Exhibit 5.1.1 Temperatures and Fuel Oil Specification Inputs Used in 2025 USEPA NONROAD Model

Runs
Gasoline Specifications Used for 2007 in the

MOBILE Model Northern RFG

– ANNUA L * Southern RFG

– Winter *

Fuel Reid Vapor Pressure (psi) 9.859 9.842 Fuel Oxygen Content (% by weight) 0.00394 0.00387

Ethanol Volume 9.895 9.869

Ethanol Market Share 1.0000 1.0000

Diesel Sulfur % 0.0011 0.0011

Marine Diesel Sulfur% 0.0055 0.0055

CNG/LPG Sulfur% 0.0030 0.0030 Minimum Temperature 46.7 47.4 Maximum Temperature 62.3 63.2 Average Ambient Temperature 54.5 55.3 Stage II Control 0 0

5.1.2 Update of NONROAD Allocation Files for Population and Housing

Several NONROAD categories use housing unit or population data to allocate the emissions to the county level from State calculations. MARAMA s tates identified some discrepancies in the housing and population data contained in the NONROAD model and requested that the Contractor update the allocation files for those categories. As a consequence, the Contractor obtained 1 and 2 unit housing information and updated 2007 population estimates. Data were

obtained from the sources listed in Exhibit 5.1.2.

Exhibit 5.1.2 Data Sources for Pop ulation and Housing Data

Source Type Data Source

2007 Population Data

Source http://www.census.gov/popest/counties/CO

- EST2 008

- 01.html

Total Housing Data Source http://www.census.gov/popest/housing/HU

- EST2007

- CO.html

1 yr

– 1 and 2 Unit Housing

Data 2007 American Community Survey 1

- Year Estimates

3 yr

– 1 and 2 Unit Housing

Data B25024. UNITS IN STRUCTURE

- Universe: HOUSING

UNITS Data Set: 2005

- 2007 American Community Survey

3

- Year Estimates, Survey: American Community Survey

Three sources for the housing unit data were required to evaluate all cou nties within the MARAMA region. Census data are frequently withheld when the data reporting can lead to disclosure of confidential business information or due to incomplete survey response. For the 1 and 2 unit housing data, the predominant source was th e 1 year

- 1 and 2 unit housing data. If that was unavailable due to either confidentiality issues or lack of survey response, then the 3 year data was used by determining an average value for the three year period. Finally if no data

were available for t he 3 year 1 and 2 unit housing information, total housing unit data wereVI

- 18 utilized. The revised housing unit data affected the allocation of residential lawn and garden equipment.

NJ provided revised human population data for 2002, 2005, 2010, 2015 and 2020. This human population data is the same as those used by the Metropolitan Planning Organizations in their

travel demand models to calculate on

- road sector emissions. Because of the way NONROAD handles missing data, if data for 2025 are not found, the most current data (in this case 2020) are used to assist in determining a 2025 value.

5.1.3 Recreational Marine Vessel Population Revision

Total New Jersey default populations for each of the three major recreational marine vessel categories containe d in the NONROAD model (outboard, inboard/sterndrive and personal watercraft) were updated. The National Marine Manufacturers Association (NMMA) provided updated populations for the outboard and personal watercraft vessel engine categories for the year 200 7. Because the population files used by the NONROAD model (and thus NMIM) were configured with population values for various horsepower categories, the contractor determined the fraction of the total for each marine vessel type in each horsepower category from the NONROAD default population files. These fractions were then used to allocate the total S tate population obtained from NMMA to the various horsepower categories. The only exception to this was the addition of data for sailboats. The sailboat pop ulations were split among the

outboard and inboard/sterndrive watercraft vessels.

Updated recreational marine population data was also estimated for the years 2017 and 2020s. EPA had recommended that rather than use the default growth algorithm built into the nonroad model for those states that had their 2007 base year data updated for this category, separate population estimates for each projection year should be prepared and included in the population files. The contractor then used the national gro wth factors supplied in the default NMIM/NONROAD model to estimate populations for each year. Each horsepower/population category in the 2007 population file was grown to either 2017 or 2020 using the ratio between the 2005 and 2015 national growth factor s (to represent growth between 2007 and 2017) and between the 2005 and 2025 national growth factors (to represent growth between 2007 and 2020). Those ratios were used to grow the 2007 population to 2017 and 2020 respectively. For the 2025 projection ye ar emission inventory, New Jersey did not follow this practice but allowed the default growth algorithm built into the model to grow the population to the 2025 projection year based on the updated 2007, 2017 and 2020 recreational marine populations

now in place.

5.1.4 Airport Ground Support Equipment Removal

New Jersey provided revised equipment population values for Airport Ground Support Equipment. As discussed in Section 5.4.4 of this document, emissions from airport ground support equipment is also included in USEPA’s aircraft inventory prepared using the Federal Aviation Administration’s Emissions and Dispersion Modeling System (EDMS). Correspondence with USEPA indicated that USEPA considers the emissions calculated by

EDMS to be better than those calculated by NONROAD. For this reason, all emissions calculated by NMIM/NONROAD for airport ground support equipment were removed from the inventory to avoid double counting.VI

- 19 5.1.5 NONROAD Model Growth and Control Information

In estimating future y ear emissions, the NONROAD model includes growth and scrappage rates for equipment in addition to a variety of control programs. It is not possible to separate out the future year emissions due to “growth only” or “control only” in a single run. That is, the model run provides a single future year estimate that is a “growth and control” scenario.

The growth data used in the NONROAD model is documented in a USEPA report. 5 The GROWTH packet of the NONROAD model cross

- references each SCC to a growth indica tor code. The indicator code is an arbitrary code that identifies an actual predicted value such as human population or employ ment that is used to estimate the future year equipment population. The GROWTH packet also defines the scrappage curves used to estimate the future year model year distribution.

The NONROAD model also accounts for all USEPA emission standards for Nonroad equipment. There are multiple standards that vary by equipment type, rated power, model year, and pollutant. Exhibit 5.1.5 is a summary of the emission control programs accounted for in the NONROAD model. A complete summary of the nonroad equipment emission standards can be found on USEPA’s nonroad emission standards reference guide website.

Exhibit 5.1.5 Control Programs Inclu ded in the USEPA’s NONROAD Model

Regulation Description

Control of Air Pollution; Determination of Significance for

Nonroad Sources and Emission

Standards for New Nonroad Compression Ignition Engines At or

Above 37 Kilowatts

59 FR 31036
June 17, 1994 Thi s rule establishes Tier 1 exhaust emission standards for HC, NO

x , CO, and PM for nonroad compression

- ignition (CI) engines ≥37kW (≥50hp). Marine engines are not included in this rule. The start dates and pollutants affected vary by hp category as follows :
50

- 100 hp: Tier 1,1998; NO

x only

100

- 175 hp: Tier 1, 1997; NO

x only

175

- 750 hp: Tier 1, 1996; HC, CO, NO

x , PM >750 hp: Tier 1, 2000; HC, CO, NO

x , PM

Emissions for New Nonroad Spark

Ignition Engines At or Below 19
Kilowatts; Final Rule

60 FR 34581 July 3 , 1995 This rule establishes Phase 1 exhaust emission standards for HC, N NO

x Ox, and CO for nonroad spark

- ignition engines ≤19kW (≤25hp). This rule includes both handheld (HH) and non

- hand

- held (NHH) engines. The Phase 1

standards become effective in 1997 for :

Class I NHH engines (<225cc), Class II NHH engines (≥225cc), Class III HH engines (<20cc), and Class IV HH engines (≥20cc and <50cc).

The Phase 1 standards become effective in 1998 for: Class V HH engines (≥50cc)

Final Rule for New Gasoline Spark

Ignition Marine Engines; Exemptions for New Nonroad Compress ion

Ignition Engines at or Above 37 Kilowatts and New Nonroad Spark

Ignition Engines at or Below 19

Kilowatts This rule establishes exhaust emission standards for HC+

NO

x for personal watercraft and outboard (PWC/OB)

marine SI e ngines. The standards are phased in from

1998

- 2006.

5 U.S. Environmental Protection Agency. Nonroad Engine Growth Estimates. EPA

- 420/P

- 04

- 08.VI

- 20 Regulation Description

61 FR 52088 October 4, 1996

Control of Emissions of Air Pollution From Nonroad Diesel Engines

63 FR 56967 October 23, 1998 This final rule sets Tier 1 standards for engines under 50 hp, phasing in from 1999 to 2000. It also phases in more stringent Tier 2 standards for all engine sizes from 2001 to 2006, and yet more stringent Tier 3 standards for engines rated over 50 hp from 2006 to 2008. The Tier 2 standards apply to NMHC+ NO

x , CO, and PM, whereas the Tier 3 standards apply to NMHC+ NO

x and CO. The start dates by hp category and tier are as follows:

hp<25: Tier 1,2000; Tier 2, 2005; no Tier 3

25

- 50 hp: Tier 1, 1999; Tier 2, 2004; no Tier 3

50

- 100 hp: Tier 2, 2004; Tier 3, 2008

100

- 175 hp: Tier 2, 2003; Tier 3, 2007

17 5

- 300 hp: Tier 2, 2003; Tier 3, 2006

300

- 600 hp: Tier 2, 2001, Tier 3, 2006

600

- 750 hp: Tier 2, 2002; Tier 3, 2006 >750 hp: Tier 2, 2006, no Tier 3

This rule does not apply to marine diesel engines above 50 hp.

Phase 2: Emission Standards for

New No nroad Nonhandheld Spark Ignition Engines At or Below 19

Kilowatts

64 FR 15207
March 30, 1999 This rule establishes Phase 2 exhaust emission standards

for HC+ NO

x for nonroad nonhandheld (NHH) spark

ignit ion engines ≤19kW (≤25hp). The Phase 2 standards for Class I NHH engines (<225cc) become effective on August 1, 2007 (or August 1, 2003 for any engine initially produced on or after that date). The Phase 2 standards for Class II NHH engines (≥225cc) are phased in from 2001

- 2005.

Phase 2: Emission Standards for New Nonroad Spark

- Ignition Handheld Engines At or Below 19

Kilowatts and Minor Amendments to Emission Requirements Applicable to Small Spark

- Ignition Engines and Marine Spark

- Ignition Engines; Fina l

Rule

65 FR 24268 April 25, 2000 This rule establishes Phase 2 exhaust emission standards

for HC+ NO

x for nonroad handheld (HH) spark

- ignition engines ≤19kW (≤25hp). The Phase 2 standards are phased in from 2002

- 2005 for Class III and Class IV engines and are phased in from 2004

- 2007 for Class V engines.

Control of Emissions From Nonroad Large Spark

- Ign ition Engines and Recreational Engines (Marine and

Land

- Based); Final Rule

67 FR 68241
November 8, 2002 This rule establishes exhaust and evaporative standards for several nonroad categories:

1) Two tiers of emission standards are established for large

s park

- ignition engines over 19 kW. Tier 1 includes exhaust

standards for HC+ NO

x and CO and is phased in from

2004

- 2006. Tier 2 becomes effective in 2007 and includes

exhaust standards for HC+ NO

x and CO, as along with evaporative controls affecting fuel line permeation, diurnal emissions and running loss emissions.

2) Exhaust and evaporative emission standards are established for recreational vehicles, which include snowmobiles, off

- highway motorcycles, and all

- terrain vehicles (ATVs). For snowmobiles, HC and CO exhaustVI

- 21 Regulation Description

standards are phased

- in from 2006

- 2012. For off

- highway motorcycles, HC+ NO

x and CO exhaust emission standards are phased in from 2006

- 2007. For ATVs,

HC+NO

x and CO exhaust emission standards are phased

in from 2006

- 2007. Evaporative emission standards for fuel tank and hose permeation apply to all recreational vehicles beginning in 2008.

3) Exhaust emission standards for HC+ NO

x , CO, and PM for recreational marine diesel engines over 50 hp begin in

2006

- 2009, depending on the engine d isplacement. These are “Tier 2” equivalent standards.

Control of Emissions of Air Pollution From Nonroad Diesel Engines and Fuel; Final Rule (Clean Air Nonroad

Diesel Rule

– Tier 4)

69 FR 38958
June 29, 2004 This final rule sets Tier 4 exhaust standards for CI engines covering all hp categories (except marine and locomotives), and also regulates nonroad diesel fuel sulfur

content.

1) The Tier 4 start dates and pollutants affected vary by hp

and tier as follows:

hp<25: 2008, PM only

25

- 50 hp: Tier 4 t ransitional, 2008, PM only; Tier 4 final, 2013, NMHC+ NO

x and PM

50

- 75 hp: Tier 4 transitional, 2008; PM only; Tier 4 final, 2013, NMHC+ NO

x and PM

75

- 175 hp: Tier 4 transitional, 2012, HC, NO

x , and PM; Tier 4 final, 2014, HC, NO

x ,PM

175

- 750 hp:Tier 4 transitional, 2011, HC, NO

x , and PM; Tier 4 final, 2014, HC, NO

x ,PM >750 hp: Tier 4 transitional, 2011, HC, NO

x , and PM; Tier 4 final, 2015, HC, NO

x ,P M

2) This rule will reduce nonroad diesel fuel sulfur levels in two steps. First, starting in 2007, fuel sulfur levels in

nonroad diesel fuel will be limited to a maximum of 500 ppm, the same as for current highway diesel fuel. Second, starting in 2010, f uel sulfur levels in most nonroad diesel fuel will be reduced to 15 ppm.

Control of Emissions From Nonroad Spark

- Ignition Engines and Equipment; Final Rule (Bond Rule)

73 FR 59034 October 8, 2008 This rule establishes exhaust and evaporative standards

for small SI engines and marine SI engines:

1) Phase 3 HC+ NO

x exhaust emission standards are established for Class I NHH engines starting in 2012 and for Class II NHH engines starting in 2011. There are no new exhaust emission standards for handheld engines

. New evaporative standards are adopted for both handheld and nonhandheld equipment. The new evaporative standards control fuel tank permeation, fuel hose permeation, and diffusion losses. The evaporative standards begin in 2012 for Class I NHH engines and 2011 for Class II NHH engines. For handheld engines, the evaporative standards are phased

- in from 2012

- 2016.

2) More stringent HC+ NO

x and CO standards are established for marine SI PWC/OB engines beginning in 2010. In addition, new exhaust HC+ NO

x a nd CO standards are established for sterndrive and inboard (SD/I) marine SI engines also beginning in 2010. HighVI

- 22 Regulation Description

performance SD/I engines are subject to separate HC+

NO

x and CO exhaust standards that are phased

- in from

2010

- 2011. New evaporative standard s were also adopted for all marine SI engines that control fuel hose permeation, diurnal emissions, and fuel tank permeation emissions. The hose permeation, diurnal, and tank permeation standards take effect in 2009, 2010, and 2011, respectively.

5.1.6 NONROAD Model Run Operation

The NONROAD model run operation comprises the inputting of the climatic and fuel specification data and New Jersey specific files into the model template panels, the running of the model, and the selection of the model run out put format included in reporting utility panels. The settings for each template and reporting utility panel in the NONROAD model are detailed

below.

NONROAD MODEL TEMPLATE SETTINGS

• OPTIONS: A short descriptive term for the run is entered for each State specific run and also all the temperature and fuel oil parameters included in Exhibit 5.1.1 above.

• GEOGRAPHY: The “county” option was selected for each State specific run. All counties within the New Jersey were selected for the run.

• PERIOD: Includes the episode, growth and technology panels. On the episode panel, the year 2025 was selected in the drop down box and added to the year selections area. This automatically directs the model to grow emissions and apply all phased

- in nonroad

control measures to the end of this episode year unless the user specifies that a different year be used as the technology year to end all control measure phase

- ins. This is an important feature of the nonroad model because nonroad control measures usually phase

- in over a c ertain number of years. This is unlike point and area sector control measures which are generally effective on a particular date. Thus to determine uncontrolled emissions after the baseline (2007) for the last year of the maintenance period (2025), the ye ar 2025 for growth remains the same but now the year 2007 will be selected in the drop down box for the technology panel. Additionally, selections were made to specify emissions for a total annual period.

• SOURCES: All sources were selected. Thus all fuel s and all vehicle types were selected for each State run. Aircraft ground support equipment was included in the run specifications but those records were removed during post

- processing steps.

• REGION: The “county” option was selected for the S tate of New Je rsey. Thus all counties within the New Jersey were selected for the 13 runs to be conducted for each county included within the New Jersey portions of the New York North New Jersey

- Long Island and Connecticut and the Philadelphia

- Wilmington Pennsylvania

- Ne w Jersey

Delaware PM2.5 Nonattainment Areas.

• ADVANCED OPTIONS: GEOGRAPHIC ALLOCATION: The NONROAD model default file for housing “NJ_HOUSE.ALO” was replaced with the updated New Jersey housing file created by AMEC “34000hou.ALO” discussed in Section 5.1.2 above. Additionally, the NONROAD model default file for population “NJ_POP.ALO” was replaced with the updated New Jersey population file “34000cen.ALO”. These files can be found in the

2025 Non

- Road Model Inputs directory included in Attachment 3.VI

- 23 • ADVANC ED OPTIONS: EQUIP. POPULATION: The NONROAD model default nonroad equipment population, “NJ.POP”, was replaced with the updated New Jersey nonroad equipment population “34000.pop”. This file can be found in the 2025 Non

- Road Model Inputs directory included in Attachment 3.

• MODEL: Select RUN with template options to run model.

REPORTING UTILITY SETTINGS

• REPORTS: Select the Emissions Totals by SCC.

• SELECT RUN TO USE: Select the desired run imported from the output file of the

NONROAD MODEL

• REPORT ONE STA TE/COUNTY: Select desired county in New Jersey.

• POLLUTANTS TO REPORT: Select all pollutants.

• SELECT THE HC: Select VOC.

• SELECT THE PM SIZE: Select PM 2.5

.

Specifics on the controlled and uncontrolled runs conducted with these template and reporting

utilit y settings, other assumptions and references for data can be found in the 2025 Non

- Road Model Output files included in Attachment 3.

5.1.7 NON

- ROAD Model Equipment Emission Inventory

Table 9 summarizes the 2025 non

- road model source emission inventor y by county for PM 2.5 , NO

x and SO 2

. Appendix V , Attachment 7 contain s the detailed non road source emission

inventories. Th is attachment is only available electronically.

Table 9

2025 NON

- ROAD Model Equipment Emission Inventory by County , Nona ttainment Ar ea (NAA) and Pollutant

County PM 2.5 * Tons per Year NO

x Tons per Year SO 2 Tons per Year
New Jersey Portion of Northern NJ

- NY

- CT NAA

Bergen 214 1,761 10

Essex 84 877 4

Hudson 55 771 3

Mercer 78 647 3

Middlesex 163 1,410 7

Monmouth 146 1,328 7

M orris 138 986 6

Passaic 70 660 4

Somerset 108 666 4

Union 89 693 4

Total 1,144 9,798 51 New Jersey Portion of Southern NJ

- Phila. NAA Burlington 93 772 4

Camden 69 593 3

Gloucester 61 468 2

Total 223 1,833 9VI

- 24 5.1.8 Non

- road Model Control Measu re Benefit Calculations

Control measure e mission benefits by nonattainment area were calculated by difference between the last year of the maintenance period emissions without control technologies applied after the base year (2007) and the last year of th e maintenance period emissions (2025) with control technologies applied throughout this entire period (2007 to 2025). Emission benefits accrue from rules establishing lower emission standards for nonroad spark and compression ignition engines and nonroad diesel engines. Emis son benefits are summarized in T able 10 by county for PM 2.5 , NO

x and SO 2 . Appendix V, Attachment 7 contains the detailed non

- road

source emission benefits. This attachment is only available electronically.

Table 10

2025 NON

- RO AD Mod el Equipment Emission Benefits by County , Nona ttainment Area (NAA) and Pollutant

County PM 2.5 * Tons per Year NO

x Tons per Year SO 2 Tons per Year
New Jersey Portion of Northern NJ

- NY

- CT NAA

Bergen 171 1,897 249

Essex 110 1,096 157

Hudson 111 1,023 158

Mercer 97 937 138

Middlesex 174 1,773 251

Monmouth 139 1,446 217

Morris 100 1,072 142

Passaic 72 722 101

Somerset 73 794 105

Union 69 750 98

Total 1,116 11,509 1,616 New Jersey Portion of Southern NJ

- P hila. NAA Burlington 93 889 127

Camden 67 682 93

Gloucester 52 516 73

Total 212 2,087 294

5. 2 Commercial Marine Vessel s (CMV)

For the purpose of emission calculations, CMV engines are divided into three categories based on displacement (swept volume) per cylinder. Category 1 and Catego ry 2 marine diesel engines typically range in size from about 500 to 8,000 kW (700 to 11,000 hp). These engines are used to provide propulsion power on many kinds of vessels including towboats, assist tugs, pushboats, supply vessels, fishing vessels, and other commercial vessels in and around ports. They are also used as stand

- alone generators for auxiliary electrical power on vessels. Category 3 marine diesel engines typically range in size from 2,500 to 70,000 kW (3,000 to 100,000 hp). These are very l arge marine diesel engines used for propulsion power on ocean

going vessels such as container ships, oil tankers, bulk carriers and cruise ships.

The majority of marine vessels are powered by diesel engines that are either fueled with

distillate or residu al fuel oil blends. For the purpose of emission inventories, USEPA hasVI

- 25 assumed that Category 3 vessels primarily use residual blends while Category 1 and 2 vessels typically use distillate fuels.

CMV emission inventories for Category 1, 2 and 3 vessels were available from USEPA 2008 National Emission Inventory (NEI). 6 This NEI database included residual and diesel fueled CMV emissions for both the port and underway operation modes of Cruise (C), Maneuver (M), Reduced Speed Zone (Z) and Hotelling (H) tha t can be configured into CMV Category 1, 2 and 3 vessels emission inventories. This database was matched to GIS ArcInfo shape files for use in plotting emissions.

New Jersey indicated that they had developed CMV emission inventories that they preferred over those provided by USEPA for certain counties. However, these emissions were only available in NIF area source file format (county/SCC summary level) and not spatially allocated. Thus for consistency, NJDEP mapped the shape files to determine exactly what constituted the port and underway areas in both South and North New Jersey. New Jersey visually determined that the USEPA shape files for the port mainly constituted the docking facilities themselves while those for the underway region constituted al most all the waterborne area outside or adjacent to the docking facilities. On this basis and following guidance included in a September 28, 2011 email from Laurel Driver of the USEPA, New Jersey classified all residual fueled (Category 3) vessels not ot herwise docked as conducting either a C or Z mode of underway operation and all residual fueled (Category 3) docked vessels as conducting an H mode of port operation. For all diesel fueled (Category 2) vessels, New Jersey classified them as mainly

conduct ing either a C mode of underway operation, and in a few instances where EPA made this determination, as conducting a M mode of port operation. Exhibit 5.3 below provides a summary of these determinations as well as the Source Category Code (SCC) designati on of each CMV operation included in the 2007 emission inventory:

Exhibit 5. 2 CMV SCC, Description, Mode and Vessel Category

SCC Description Emission Mode Vessel Category

2280002100 Diesel Port M Category 1 & 2

2280002200 Diesel Underway C Category 1 & 2

2280003100 Residual Port H or M Category 3

2280003200 Residual Port C or Z Category 3

A description of how CMV emissions were determined for specific New Jersey counties follows below. This description is presented in two parts analogous with the different methodologies applied for those Northern New Jersey counties associated with the New York North New Jersey (NYNNJ) Harbor system and for those Southern New Jersey counties associated with the New Jersey Delaware River Basin. Only one county, Pa ssaic County, was not associated with either the harbor system or the river basin. Therefore, New Jersey relied upon the USEPA

2008 NEI to determine CMV emissions for this county.

6 U.S. Environmental Protection Agency. Documentation for the Commercial Marine Vessel Component of the National Emissions Inventory Methodology, Eastern Research Group report # 0245.02.302.001, USEPA Contract

number EP

- D

- 07

- 09 7. March 30, 2010.VI

- 26 5. 2 .1 New Jersey Portion of the NYNNJ Harbor System

The most signif icant New Jersey CMV operations occur in the NJ portion of the NYNNJ Harbor
system . This encompasses the North Jersey counties of Bergen, Hudson, Essex, Union, Middlesex and Monmouth. CMV emissions for this harbor system were mainly developed from

the in formation included in the CMV Emissions Inventory Report prepared by Starcrest Consulting Croup, LLC. 7 This inventory was prepared as a part of the New York Harbor Deepening Project. This report relied on actual operational data, to the extent such infor mation was available, and then used local activity parameters to extend emission estimates to those portions not directly inventoried. Actual operational data was obtained from extensive interviews with vessel operators, crew, pilots, and the United State s Coast Guard’s vessel traffic system that tracks oceangoing commercial marine vessels from points of origin and destination. From these emission estimates were prepared based on estimated horsepower demand. The original inventory was conducted for the y ear 2000 and did not consider USEPA Tier 1 or MARPOL control measures for CMV. Therefore, NJDEP needed to grow the emissions to 2007 and then apply USEPA Tier 1/MARPOL control factors to the grown emissions.

New York New Jersey Port Authority (NYNJPA) Trade Statistics were used to grow the Northern NJ Starcrest emissions from 2000 to 2007. These trade statistics provide the total bulk and general cargo tonnage and the number of motor vehicles and twenty foot equivalent containers (TEUs) delivered to o r from Northern Jersey ports from 2000 to 2007. New Jersey divided the amount of cargo, TEUs and cars delivered in 2007 over those delivered in 2000 to obtain growth factors to be applied to each type of category 3 vessel emissions associated with their d elivery to and from the port. This is a direct correspondence because the Starcrest report includes separate emissions for each major type of category 3 vessel that operates in the port. For example, the growth in containers delivered to and from the port in 2000 to 2007 relates directly to the growth in containerships and hence the growth in their emissions during this period. Similarly, the growth in bulk and general cargo and cars respectively relates to the growth in category 3 bulk carriers, RoRo ves sels and car carriers emissions. In concern for category 3 tankers, the growth rate was based on the increase in petroleum products delivered to New Jersey from 2000 and 2007 as determined by the Energy Information Administration (EIA), United States Depa rtment of Energy.

The Starcrest report also specifically relates emissions from harborcraft such as assist tug boats to the specific type of OGV that they assist in their harbor maneuvering and docking so that the same OGV growth factors may be applied t o them. In concern for towboats

, which represent the other major contributor of harborcraft emissions that operates in the New York and North New Jersey harbor, New Jersey assumed that their growth would relate to the increase in bulk and general cargo fr om 2000 to 2007. This is because towboats pull or push barges that transport bulk and general cargo.

5. 2 .2 New Jersey Portion of the Delaware River Basin

In concern for the Southern New Jersey counties a ssociated with CMV operations in the

Delawa re River Basin, New Jersey relied on the above referenced USEPA NEI and the state of Pennsylvania. New Jersey used the USEPA NEI to develop all of its category 3 CMV underway and port emissions and the category 1 and 2 CMV port emissions for Mercer, Burli ngton, Camden and Gloucester counties. New Jersey used the Pennsylvania category 1 and 2

7 Starcrest Consulting Group, LLC, 2003, “The New York, Northern New Jersey, Long Island Nonattainment Area Commercial Marine Vessel Emissions Inventory”VI

- 27 underway inventory to develop its own inventory for category 1 and 2 harborcraft underway

emissions for these same counties.

New Jersey assumed that CMV emissions generated in the New Jersey counties on the eastern bank of the Delaware River Basin except for individual port operations are equivalent to those generated in corresponding Pennsylvania counties located on the western bank. A similar allocation process h ad been agreed to by New Jersey and Pennsylvania as part of the 1990 emission inventory submittal. New Jersey did not use the Pennsylvania inventory for category 3 CMV emissions because Pennsylvania had also relied on the USEPA 2008 NEI to determine

emiss ions for this category in the Delaware River Basin.

New Jersey obtained 2008 data from Pennsylvania and the USEPA NEI data was for 2008. No changes were made to the 2008 data for 2007 (i.e., the 2007 emissions were assumed to be equal to 2008). Also, Ne w Jersey has no significant lightering operations.

5. 2 .3 CMV Growth Factors

New Jersey grew its entire 2007 CMV inventory from 2007 to 2025 based on methodologies developed by the USEPA. The methodologies used to develop the 2025 emission projectio n (for both a baseline and controlled scenario) are documented in three regulatory impact assessments (RIA). The USEPA’s May 2008 RIA (EPA2008a) was used to develop the 2025 projection year inventory for category 1 and 2 vessels (diesel). While the USEPA’ s December 2009 RIA (EPA2009a) and April 2009 proposal (EPA2009b) was used to develop the 2025 projection year inventory for category 3 vessels (residual). 8

, 9

5.2.4 CMV Diesel Growth Factors

For Category 1 and 2 diesel vessels, EPA2008a used projecti on data for domestic shipping from the EIA 2006. The annual growth rate is 0.9 percent. This growth rate applies to approximately 78 percent of all Category 1 and 2 diesel vessels. This percentage considers all the diesel vessels except for assist tugs. In concern for assist tugboats, New Jersey assumed that the assist tug growth rate would be equivalent with the growth rate of the category 3 residual fueled vessels that they assist in maneuvering and docking procedures. Thus the annualized growth facto r of 4.5 percent used for category 3 residual fueled vessels (See Section

5. 2 .5 below) was considered in the final determination of an overall annualized growth factor of 1.684 percent used for CMV diesel port emissions (SCC 22

- 80

- 002

- 100) and CMV diesel

u nderway emissions (SCC 22

- 80

- 002

- 200).

5. 2 .5 CMV Diesel Control Factors

Once the growth rate was applied, then a control factor for each pollutant was calculated by dividing the emission factor for the future year (2025) controlled emissions by the bas eline (2007) controlled emission factor included in the controlled cmv diesel inventory developed for the EIA 2008. In developing their emission projections, USEPA considered the following

scenarios that accounted for both the 2004 Nonroad diesel rule and the 2008 diesel marine

vessel rule:

1. The impact of existing tier 1 and 2 engine regulations that took effect in 2007,

8 Regulatory Impact Analysis:Control of Emissions of Air Pollution from Category 3 Marine Diesel Engines. EPA420

- R

- 09

- 019.

9 Proposal to Designate an Emissions Control Area for Nitrogen Oxides, Sulfur Oxides, and Particulate Matter.

EPA420

- R

- 09

- 007.VI

- 28 2. T he 2004 Clean Air Nonroad Diesel Rule that will decrease the allowable levels
of sulfur in fuel beginning in 2007, and

3. F leet turnov er,

4. The reductions from USEPA’s 2008 rule Final Locomotive

- Marine rule for Tier 3
and 4 engines,

5. The 2008 final rule that includes the first

- ever national emission standards for
existing marine diesel engines, applying to engines larger than 600kW when they
are remanufactured. The rule also sets Tier 3 emissions standards for newly

built engines that are phasing in from 2009. Finally, the rule establishes Tier 4

standards;

6. For newly

- built commercial marine diesel engines above 600kW, phasing in

be ginning in 2014.

Exhibit 5. 2

. 5 shows the control factors to be applied from 2007 to 2025 for the two CMV diesel fueled classifications and pollutants. These control factors are applied directly to the grown

emissions. Thus the NO

x control factor of 0.4 15 would control NO

x emissions by 58.5 percent.

Exhibit 5. 2

. 5

CMV Diesel Cont rol Factors by SCC and Pollutant

SCC NO

x PM 2.5 SO 2

22

- 80

- 002

- 100, 200 0.415 0.428 0.080

5. 2 .6 CMV Residual Oil Growth Factors

For Category 3 residual oil vessels, data fro m EPA2009a was used to develop an annualized growth factor of 4.5 percent for the region. These growth factors were used for CMV residual oil port emissions (SCC 22

- 80

- 003

- 100) and CMV residual oil underway emissions (SCC 22

- 80

- 003

- 200).

5. 2 .7 CMV Residu al Oil Control Factors

On December 22, 2009, USEPA announced final emission standards under the Clean Air Act for new marine diesel engines with per

- cylinder displacement at or above 30 liters (called Category 3 marine diesel engines) installed on U.S.

- fla gged vessels. The final engine standards are equivalent to those adopted in the amendments to Annex VI to the International Convention for the Prevention of Pollution from Ships (a treaty called "MARPOL"). The emission standards apply in two stages: nea r

- term standards for newly

- built engines will apply beginning in 2011, and long

- term standards requiring an 80 percent reduction in NO

x will begin in 2016. USEPA also adopted changes to the diesel fuel program to allow for the production

and sale of diese l fuel with no more than 1,000 ppm sulfur for use in Category 3 marine vessels. The regulations generally forbid production and sale of fuels with more than 1,000 ppm sulfur for use in most U.S. waters, unless operators achieve equivalent emission reducti ons in other

ways.

On March 26, 2010, the International Maritime Organization (IMO) officially designated waters off North American coasts as an emissions control area (ECA) in which stringent international emission standards will apply to ships. In pra ctice, implementation of the ECA means that ships entering the designated area would need to use compliant fuel for the duration of their voyage that is within that area, including time in port and voyages whose routes pass through the areaVI

- 29 without calling on a port. The North American ECA includes waters adjacent the Atlantic extending up to 200 nautical miles from east coast of the US. The quality of fuel that complies with the ECA standard will change over time. From the effective date in 2012 until 20 15, fuel used by vessels operating in designated areas cannot exceed 1.0 percent sulfur (10,000 ppm). Beginning in 2015, fuel used by vessels operating in these areas cannot exceed 0.1 percent sulfur (1000 ppm). Beginning in 2016, NO

x after treatment req uirements become applicable.

To calculate a control factor that accounted for reductions included in the USEPA controlled inventory, it was necessary to first calculate a “growth only” scenario applying USEPA’s 4.5 percent annual growth rate to the 2007 b ase emissions. Once the growth rate was applied, then a control factor for each pollutant was calculated by dividing the future year controlled emissions by the future year “growth only” emissions.

Exhibit 5. 2 .7 shows the control factors to apply to th e residual CMV emissions grown from 2007

to 2025. These control factors are applied directly to the grown emissions. Thus the NO

x control factor of 0.446 would control NO

x emissions by 55.4 percent.

Exhibit 5. 2 .7 CMV Residual Oil Control Factors by SCC and Pollutant

SCC NOx PM 2.5 SO 2

SCC

- 80

- 003

- 100, 200 0.412 0.135 0.036

5. 2 .8 Commercial Marine Vessel Emission Inventory

Table 13 summarizes the 2025 CMV source emission inventory by county for PM 2.5 , NO

x and

SO 2

. Appendix V , Attachment 7 contains th e detailed nonroad source emission inventories. This attachment is only available electronically.

Table 13

20 25 Commercial Marine Vessel Emission Inventory by County and Pollutant

County PM 2.5 * Tons per Year NO

x Tons per Year SO 2 Tons per Year

New Jersey Portion of Northern NJ

- NY

- CT NAA

Bergen 6 147 5

Essex 4 274 27

Hudson 49 1,877 109

Mercer 0 0 0

Middlesex 10 301 16

Monmouth 18 723 56

Morris 0 0 0

Passaic 0 4 0

Somerset 0 0 0

Union 49 1,911 133

Total 135 5,237 347 New Jersey Portion o f Southern NJ

- Phila. NAA Burlington 0 11 3

Camden 20 732 45

Gloucester 14 510 63

Total 35 1,253 111VI

- 30 Specifics on the equations used for the calculation of these emissions, other assumptions and

references for data can be found in CMV file included in Attachment 3.

5. 2 .9 CMV Control Measure Benefit Calculations

Control measure e mission benefits by nonattainment area were calculated by difference between the last year of the maintenance period emissions (2025) without control technologies applied after the base year (2007) and the last year of the maintenance period emissions (2025) with control technologies applied throughout this entire period (2007 to 2025). Emission benefits accrue from exisitng tier 1 to 2 engine standards that take effect in 2008 and the long term effects of the May 2008 Final Locomotive

- Marine rule for Tier 3 and 4 engines and the December 2009 rule on the new Tier standards for new category 3 diesel engines and the implementation of ECA. Emisson benefits are summarized in tables 14 by county for PM 2.5 , NO

x and SO 2 . Appendix V, Attachment 7 contains the detailed CMV emission benefits. This attachment is only available electronically.

Table 14 2025 CMV Emission Benefits by County , Nona ttainment Area (NAA) and Pollutant

County PM 2.5 Tons per Year NO

x Tons per Year SO 2 Tons per Year
New Jersey Portion of Northern NJ

- NY

- CT NAA

Bergen 8 207 55

Essex 19 391 712

Hudson 147 2,661 2,447

Mercer 0 0 0

Middlesex 19 426 335

Monmouth 109 1,031 1,493

Morris 0 0 0

Passaic 0 5 1

Somerset 0 0 0

Union 120 2,710 3,122

Total 421 7,431 8,165 New Jersey Portion of Southern NJ

- Phila. NAA Burlington 1 15 85

Camden 107 1,042 1,186

Gloucester 73 726 1,691

Total 180 1,783 2,962

5. 3 Aircraft

Aircraft emissions in the 2025 i nventory are available on either a county

- by

- county or airport

- by

airport basis for six types of aircraft operations:

• Air carrier operations represent landings and take

- offs (LTOs) of commercial aircraft with seating capacity of more than 60 seats (SCC 22

- 75

- 020

- 000);

• Commuter/air taxi operations are one category. Commuter operations include LTOs by aircraft with 60 or fewer seats that transport regional passengers on scheduled commercial flights. Air taxi operations include LTOs by aircraft with 60 or f ewer seatsVI

- 31 conducted on non

- scheduled or for

- hire flights (SCC 22

- 75

- 060

- 011 (Piston) or 012 (Turbine);

• General aviation represents all civil aviation LTOs not classified as commercial (SCC 22

- 75

- 050

- 011 (Piston) or 012 (Turbine):

• Military operations repr esent LTOs by military aircraft (SCC 22

- 75

- 001

- 000);

• Ground Support Equipment (GSE) typically includes aircraft refueling and baggage handling vehicles and equipment, aircraft towing vehicles, and passenger buses (SCC

22

- 65

- 008

- 005 (4

- Stroke Gasoline), 22

- 67

- 008

- 005 (LPG), 22

- 68

- 008

- 005 (CNG), 22

- 70

- 008

- 005 (Diesel); and

• Auxiliary power units (APUs) provide power to start the main engines and run the heating, cooling, and ventilation systems prior to starting the main engines. (SCC 22

- 75

- 070

- 000).

5. 3 .1 Emission Dispersion Modeling of New Jersey Airports

New Jersey aircraft emissions were calculated based on the number of landing and take

- off (LTO) cycles generated at each airport. Nine Airports which are Newark Liberty International,
Teterboro, Atlantic City, Morris Municipal, Essex County, Mercer County, Naval Lakehurst Base, Monmouth Executive and Millville Municipal supplied New Jersey with LTO counts for each specific aircraft type (i.e., Boeing 707, Airbus 300) that operated at their airpor t in 2007. These LTO counts were applied to the Emissions and Dispersion Modeling System (EDMS), the Federal Aviation Agency (FAA) aircraft emissions modeling tool, to determine their emissions.

5. 3 .2 McGuire Air Force Base (McGuire)

McGuire Air Forc e Base (McGuire) supplied LTO and Touch and Go information for that facility for general conformity for the year 2005. This information was used for the year 2007 because there has not been any significant change to it. Information on time

- in

- mode, num ber of engines and emission factors for military aircraft was obtained from Air Emission Inventory

Guidance for Mobile Sources at Air Force Installations , January 2002 and used to determine LTOs emissions at this facility.

5. 3 .3 Federal Aviation Agency (FAA) Airports

For all other remaining airports, total LTO numbers for the aircraft categories of commercial, military, air taxi and general aviation airports were obtained from the FAA. An average aircraft emission factor developed from the most common aircraft types for a given category was applied to the total aircraft category counts.

5. 3 .4 Aircraft Ground Support Equipment (GSE)

NJ provided GSE/Auxiliary Power Unit (APU) emissions for each of the seven major airports

that submitted LTO fleet mix counts. The EDMS model determined these emissions by applying default GSE/APU equipment to those aircraft types that are known to use these units. Those emissions had GSE emissions as a single value without an indication of the fuel type of the equipm ent. In this case, the fuel type ratios used in the USEPA NEI were used to divide GSE emissions by their SCC designated fuel type. Those ratios are included in Exhibit 5. 3 .4 below:VI

- 32 Exhibit 5.4.4 : GSE Fractional Apportionment

SCC SCC Level Two Fr action

2265008005 Off

- highway Vehicle Gasoline, 4

- Stroke 0.1686

2267008005 LPG 0.0165

2268008005 CNG 0.0131

2270008005 Off

- highway Vehicle Diesel 0.8017

In concern for those smaller airports whose emissions were not determined by the EDMS, they

were considered to not generate any GSE/APU emissions because generally only small Air Taxi, General Aviation and Military aircraft operate from these airports. Many of these aircraft

do not use GSE/APU.

5. 3 .5 Airport Growth Factors

Aircraft operations were projected to future years by applying activity growth using data on itinerant (ITN) operations at every airport in New Jersey as reported in the Federal Aviation Administration’s (FAA) Terminal Area Forecast (TAF) System for 2009

- 2030. 10 The ITN operations are defined as aircraft take

- offs or landings. This information is available for approximately 3300 individual airports. Actual LTOs are reported f or 2007 and projected LTOs are provided for all years up to 2030.

The data was aggregated and applied at t he county level for the four operation types: commercial, general, air taxi and military. A growth factor was computed for each operation type by dividing future

- year ITN by 2007

- year ITN. Inventory SCCs were assigned factors based on the operation type, as shown in Exhibit 5. 3 .5.1.

Exhibit 5. 3 .5.1 : Crosswalk between SCC and FAA Operations Type

SCC SCC Description FAA Operation Type Used for

Growth Factor

2265008005 Airport Ground Support Equipment, 4

- Stroke Gas Total Itinerant Operations

2267008005 A irport Ground Support Equipment, LPG Total Itinerant Operations

2268008005 Airport Ground Support Equipment, CNG Total Itinerant Operations

2270008000 Airport Ground Support Equipment, Diesel Total Itinerant Operations

2270008005 Airport Ground Support Equipment, Diesel Total Itinerant Operations

2275001000 Aircraft /Military Aircraft /Total Itinerant Military Operations

2275020000 Aircraft /Commercial Aircraft /Total: All Types Itinerant Air Carrier Operations

2275050000 Aircraft /General Aviation /T otal Itinerant General Aviation Operations

2275050011 Aircraft /General Aviation /Piston Itinerant General Aviation Operations

2275050012 Aircraft /General Aviation /Turbine Itinerant General Aviation Operations

2275060000 Aircraft /Air Taxi /Total Itin erant Air Taxi Operations

2275060011 Aircraft /Air Taxi /Piston Itinerant Air Taxi Operations

10 Federal Aviation Administration, Terminal Area Forecast 2009

- 2030 Database FileVI

- 33 SCC SCC Description FAA Operation Type Used for

Growth Factor

2275060012 Aircraft /Air Taxi /Turbine Itinerant Air Taxi Operations

2275070000 Aircraft /Aircraft Auxiliary Power Units /Total Total Itinerant Operations

Ex hibit 5. 3 .5.2 summarizes the region

- wide growth factors by FAA operation type. The growth factor for individual airports/counties may deviate substantially from these region

- wide growth

factors.

Exhibit 5. 3 .5.2 : Region

- wide Growth Factors from 2007 b y FAA Operations Type

5. 3 .6 Aircraft Control Factors

The NO

x aircraft engine emissions standards adopted by USEPA in November 2005 were

reviewed. 11 The standards are equivalent to the NO

x emission standards (adopted in 1999 for implementation beginn ing in 2004) of the United Nations International Civil Aviation Organization (ICAO), and will bring the US aircraft standards into alignment with the international standards. The standards apply to new aircraft engines used on commercial

aircraft includin g small regional jets, single

- aisle and twin

- aisle aircraft, and 747s and larger aircraft. The standards also apply to general aviation and military aircraft, which sometimes use commercial engines. For example, small regional jet engines are used in execu tive general aviation aircraft, and larger commercial aircraft engines may be used in military transport

aircraft.

Nearly all previously certified or in

- production engine models currently meet or perform better than the standards USEPA adopted in the No vember 2005 rule. In addition, manufacturers have already been developing improved technology in response to the ICAO standards. According to USEPA’s recent analysis for the proposed transport rule, this rule is expected to

reduce NO

x emissions by approx imately 2 percent in 2015 and 3 percent in 2020. 12 Because of the relatively small amount of NO

x reductions, our aircraft emission projections do not account for this control program.

11 U.S. Environmental Protection Agency. Control of Air Pollution from Aircraft and Aircraft Engines, Emission Standards and Test Procedures:Final Rule. November 17, 2005.

12 U.S. Environmental Protection Agency. Transport Rule Emission Inventories Notice of Data A vailability (NODA). Docket ID No. EPA

- HQ

- QAR

- 2009

- 0491. October 27, 2010.VI

- 34 USEPA has also issued an Advance Notice of Proposed Rulemaking (ANPR) o n lead emissions from piston

- engine aircraft using leaded aviation gasoline. 13 However, this rule has not yet been adopted and co

- benefits for c riteria air pollutants are likely to be small. Therefore, the

effects of this rule were not included in the fut ure

- year emissions projections.

5. 3 .7 Aircraft Emission Inventory

Table 15 summarizes the 2025 aircraft source emission inventory by county for PM 2.5 , NO

x and

SO 2

. Appendix V , Attachment 7 contains the detailed nonroad source emission inventories.

This attachment is only available electronically.

Table 15 2025 Aircraft Emission Inventory by County and Pollutant

County PM 2.5 * Tons per Year NO

x Tons per Year SO 2 Tons per Year
New Jersey Portion of Northern NJ

- NY

- CT NAA

Bergen 9 192 32

Essex 76 4 ,099 435

Hudson 0 0 0

Mercer 1 21 4

Middlesex 0 3 1

Monmouth 1 8 2

Morris 3 70 14

Passaic 0 2 0

Somerset 0 10 2

Union 0 5 1

Total 90 4,410 491 New Jersey Portion of Southern NJ

- P hila. NAA Burlington 52 540 20

Camden 0 1 0

Gloucester 0 5 1

To tal 52 546 21

Specifics on the equations used for the calculation of these emissions, other assumptions and

references for data can be found in the Aircraft file included in Attachment 3

.

5.3.8 Aircraft Control Measure Benefit Calculations

Aircraft emission benefits were considered to be zero because of the relatively small amount of

NO

x emission reductions that occur in 2025 as explained in Section 5. 3 .6 above.

5. 4 Railroad Diesel Locomotives

Railroad diesel locomotive engines are classified into the fol lowing categories:

13 U.S> Environmental Protection Agency. Advance Notice of Proposed Rulemaking on Lead Emissions

from Piston

- Engine Aircraft Using Leaded Aviation gasoline. April 2010.VI

- 35 • Class I line haul locomotives are operated by large freight railroad companies and are

used to power freight train operations over long distances (SCC 22

- 85

- 002

- 006);

• Class II/III line haul locomotives are operated by smaller freight ra ilroad companies and

are used to power freight train operations over long distances (SCC 22

- 85

- 002

- 007);

• Inter

- city passenger train locomotives are operated primarily by Amtrak to provide inter

city passenger transport (SCC 22

- 85

- 002

- 008);

• Independent comm uter rail systems operate locomotives provide passenger transport

within a metropolitan area (SCC 22

- 85

- 002

- 009); and

• Yard/switch locomotives are used in freight yards to assemble and disassemble trains,

for short hauls of trains that are made up of only a few cars (SCC 22

- 85

- 002

- 010).

5. 4 .1 Class II/III Line Haul, Yard, Commuter and Passenger Diesel Locomotives

USEPA has developed fuel usage based emission factors for each of the above referenced locomotive engine categories. New Jersey developed its em ission inventory for these categories by applying these emission factors to specific 2007 fuel usage data received from Class II/III line haul and independent commuter rail systems and yard/switch freight and commuter rail yards. An estimation of fuel con sumption based on gross tons miles (tons of freight and number of cars multiplied by the miles traveled) and a fuel consumption index (gross ton miles per gallon of fuel) was prepared for those railroads that did not submit statewide fuel

data.

In conce rn for passenger locomotive emissions (AMTRAK), there were no emissions. This is because AMTRAK only used electric powered locomotives on the Northeast corridor line in New Jersey. These electric engines do not generate any emissions.

5. 4 .2 Class I Line Haul Diesel Locomotives

In concern for the Class 1 line haul locomotives, New Jersey elected to use the ERTAC 2008 inventory that was made available to the MARAMA states. The ERTAC rail inventory included both the State and the County level Class 1 line haul emissions in NIF format. This inventory was developed from national locomotive fuel consumption data and additional confidential information provided by the two major Class 1 line

- haul railroads that operate in New Jersey (Norfolk Southern and C SX). All 2008 emissions were assumed to equal 2007 emissions.

5. 4 .3 Railroad Diesel Locomotives Hydrocarbon Emissions

Both Class I and Class II/III emissions were reported as hydrocarbons (HC). These emissions were converted to VOC emissions by mult iplying the HC emissions by a factor of 1.053. 14

5. 4 .4 Railroad Diesel Locomotives Growth Factors

In March 2008, USEPA finalized a three part diesel locomotive rule that will dramatically reduce emissions from diesel locomotives of all types

-- line

- ha ul, switch, and passenger rail. As part of this work, USEPA performed a Regulatory Impact Analysis (RIA) in May 2008 (EPA2008a), to

14 U.S. Environ mental Protection Agency. Emission Factors for Locomotives; EPA

- 420F09025, 2009.VI

- 36 document the projection methodologies it utilized to develop the baseline (pre

- control) and

controlled diesel locomotive em issions included in the national emissions inventory for calendar years 2002 through 2040. 15 These projection methodologies used 2006 Annual Energy Outlook energy use projection data from the U.S. Department of Energy, Energy Information Administration (EI A2006). 16 This data showed that freight rail energy use will grow 1.6 percent annually. New Jersey used this growth rate for al l diesel locomotive operations.

5. 4 .5 Railroad Diesel Locomotives Control Factors

To calculate control factors that accounted for reductions included in the USEPA controlled
inventory, it was necessary to first calculate a “growth only” scenario applying USEPA’s 1.6
percent annual growth rate to the 2007 baseline emissions without application of any diesel

locomotive controls. Th e controlled inventory developed also used the EIA2206 1.6 percent
annual growth in fuel use in addition to the consideration of the following control measures:

1. The impact of existing regulations for Tier 0, 1, and 2 locomotive engines that

take effect in 2008,

2. The 2004 Clean Air Nonroad Diesel Rule that will decrease allowable levels of sulfur in locomotives fuel beginning in 2007,

3. Fleet turnover.

4. Reductions from USEPA’s 2008 Final Locomotive

- Marine rule for Tier 3 and 4 engines. This rule lowered dies el sulfur content and tightened emission standards for existing and new locomotives.

5. Voluntary retrofits under the National Clean Diesel Campaign are not included in these projections.

Once the growth rate was applied, then a control factor for each pollut ant was calculated by dividing the future year controlled emissions by the future year “growth only” emissions. Exhibit

5. 4 .5 shows the control factors to be applied from 2007 to 2025 for the four locomotive classifications and pollutants. These growth factors are applied directly to the grown

emissions. Thus the NO

x control factor of 0.412 would control emissions by 58.8 percent.

Exhibit 5. 4 .5 Railroad Diesel Locomotive Control Factors by Pollutant, and SCC

SCC NO

x PM 2.5 SO 2

SCC 22

- 85

- 002

- 006 Line Haul Class 1 Operations 0.412 0.252 0.003

SCC 22

- 85

- 002

- 007 Line Haul Class II / III Operations 0.852 0.688 0.003

SCC 22

- 85

- 002

- 009 Commuter Rail 0.241 0.180 0.003

SCC 22

- 85

- 002

- 010 Yard / Switch 0.634 0.534 0.003

15 U.S. Environmental Protection Agency. Regulatory Impact Analysis: Control or Emissions of Air Pollution from Locomotive Engines and Marine Compression Engines Less than 30 Liters Per Cylinder. EPA420

- R

- 08

- 001a. May

2008.

16 U.S. Department of Energy, Energy Information Administration, Table A

- 7, Annual Energy Outlook with Projections to 2030 document, DOE/EIA

- 0383. February 2006.VI

- 37 5. 4 .6 Railroad Diesel Locomotive Emission Inventory

Table 11 summarizes the 2025 diesel railroad source emission inventory by county for PM 2.5 , NO

x and SO 2 . Appendix V , Attachment 7 contains the detailed nonroad source emission

inventories. This attachment is only available electronic ally.

Table 11

Railroad Diesel Locomotive Emission s by County , Nonattainment Area (NAA) and Pollutant

County PM 2.5 Tons per Year NO

x Tons per Year SO 2 Tons per Year
New Jersey Portion of Northern NJ

- NY

- CT NAA

Bergen 8 438 0

Essex 6 316 0

Hudson 6 331 0

Mercer 1 61 0

Middlesex 7 355 0

Monmouth 3 165 0

Morris 2 136 0

Passaic 2 103 0

Somerset 3 176 0

Union 3 186 0

Total 41 2,267 0 New Jersey Portion of Southern NJ

- Phila. NAA Burlington 0 16 0

Camden 4 214 0

Gloucester 1 55 0

Total 5 28 4 0

Specifics on the equations used for the calculation of these emissions, other assumptions and

references for data can be found in the Railroad file included in Attachment 3.

5. 4 .7 : Railroad Diesel Locomotives Control Measure Benefit Calculations

Control measure b enefits by nonattainment area were calculated by difference between the last year of the maintenance period emissions without control technologies applied after the base year (2007) and the last year of the maintenance period emissions (20 25) with control technologies applied throughout this entire period (2007 to 2025). Emission benefits accrue from exisitng tier 0 to 2 engine standards that take effect in 2008 and the long term effects of the May 2008 Final Locomotive

- Marine rule for Ti er 3 and 4 engines. Emisson benefits are

summarized by county for PM 2.5 , NO

x and SO 2 . Appendix V, Attachment 7 contains the detailed

Railroad emission benefits. This attachment is only available electronically.VI

- 38 Table 12

2025 Railroad Emission Ben efits by County

, Non Attainment Area (NAA) and Pollutant

County PM 2.5 Tons per Year NO

x Tons per Year SO 2 Tons per Year
New Jersey Portion of Northern NJ

- NY

- CT NAA

Bergen 28 1,019 11

Essex 9 285 7

Hudson 16 542 8

Mercer 4 112 2

Middlesex 12 362 8

Monmouth 13 517 5

Morris 7 291 3

Passaic 7 277 3

Somerset 12 367 5

Union 12 418 5

Total 118 4,190 56 New Jersey Portion of Southern NJ

- Phila. NAA Burlington 0 4 0

Camden 6 204 4

Gloucester 1 13 1

Total 6 221 5

5.5 Total Non

- road Emissio n Inventory

Table 16 summarizes NONROAD model equipment, CMV, Aircraft and Locomotive sources 2025 annual emission inventory by county for PM 2.5 , NO

x and SO 2 . Appendix V , Attachment 7

contains the detailed nonroad source emission inventories. This attac hment is only available electronically.VI

- 39 Table 16

Total 2025 Non

- road Source Emission Inventory by County and Pollutant

County PM 2.5 Tons per Year NO

x Tons per Year SO 2 Tons per Year
New Jersey Portion of Northern NJ

- NY

- CT NAA

Bergen 236 2,538 46

Essex 170 5,566 466

Hudson 110 2,979 112

Mercer 80 729 7

Middlesex 179 2,068 24

Monmouth 167 2,223 64

Morris 143 1,192 20

Passaic 72 768 4

Somerset 112 853 6

Union 141 2,795 138

Total 1

, 410 21,711 887 New Jersey Portion of Southern NJ

- Phila. NAA Burlington 145 1,338 27

Camden 93 1,539 48

Gloucester 77 1,037 66

Total 315 3,915 141

5.6 Total Non

- road Control Measure Benefit Calculations

Control Measure e mission benefits by nonattainment area were calculated by difference

between the last year of the maintenance period emissions (2025) without control technologies applied after the base year (2007) and the last year of the maintenance period emissions (2025) with control technologies applied throughout this entire period (2007 to 2025). Ta ble summarizes NONROAD model equipment, CMV, Aircraft and Locomotive sources 2025 annual emission benefits by county for PM 2.5 , NO

x and SO 2 . Appendix V , Attachment 7 contains the

detailed nonroad source emission inventories. This attachment is only avail able electronically.VI

- 40 Table 17

Total 2025 Non

- road Source Control Measure Benefits

by County, Nona ttainment Area (NAA) and Pollutant

County PM 2.5 Tons per Year NO

x Tons per Year SO 2 Tons per Year
New Jersey Portion of Northern NJ

- NY

- CT NAA

Bergen 206 3,12 3 315

Essex 13 8 1,741 87 6

Hudson 274 4,22 6 2,61 4

Mercer 10 1 1,04 9 139

Middlesex 20 4 2,561 59 4

Monmouth 26 1 2,99 4 1,71 5

Morris 107 1,36 4 145

Passaic 79 1,00 4 10 4
Somerset 84 1,161 1 10

Union 201 3,877 3,22 5

Total 1,655 23,129 9,836

New Jer sey Portion of Southern NJ

- Phila. NAA Burlington 9 4 90 8 213
Camden 179 1,927 1,28 4
Gloucester 125 1,255 1,76 5

Total 398 4,090 3,261