# V e rs io n 4 .1 

# D EV ELO PM EN T 

# R EPORT

M ay 20 06

Pr ep ar ed f o r:

U.S. En v iron men tal Prot ect ion A ge nc y Offi ce of A ir

Quali ty Planni ng and Standar ds Re searc h Trian gle Pa rk, N C 2771 1

P r e p a r e d b y:

E.H. Pech an & A

sso ciate s, In c. 5528 -B H emp ste ad W ay Sp ring field , VA

22 151

Pech an Rep or

t No . 06. 05.002/ 9011.00 2PECHAN Ma y 2006

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## ii AC K NO WLE DG M EN TS

Although unde r deve lopment for many y ear s, AirControlNET Ver sion 4.1 was completed f or the I nnovative Strateg ies and Ec onomics Group (I SEG) under EPA contrac t number 68-D- 00-283 by E. H. Pe c ha

n & As so c ia te s, I nc . L a rr y Sor re ls w a s th e EPA pr oje c t ma na g e r. Spe c ia l th a nk s to I SEG staff f

or providing revie w and c omments as well as to F rank D ivita, J im W ilson, Brian Eisemann, and T ejas Shah of E .H. Pecha n & A ssociates, I nc. for

their ef forts in the deve lopment of thi s to ol a

nd thi s u se r m a nu a l.PECHAN Ma y 2006

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## iii 

# CONTENTS
P age

A C R O N Y M S A

N D A B B R E V I A T I O N S

........................................... v

C H A P T E R

I

. I N T R O D U C T I O N

................................................. 1 A

. D E V E L O P M E N T H I S T O R Y

........................................... 1 B

. O V E R V I E W O F A i r C o n t r o l N E T

........................................ 3 C

. H O W T H I S R E P O R T I S O R G A N I Z E D

.................................. 4

CHAPTER I I .AirControlNET DATA BA SE DEVEL OPMENT

. . . . . . . . . . . . . . . . . . . . . . . . . . 5 A. I NPU T D AT AB ASE S: E MI SSI ON S I NV EN TO RY

. . . . . . . . . . . . . . . . . . . . . . . . 5 B. I NPUT DATAB ASES: C ONTROL MEASURE FI L ES

. . . . . . . . . . . . . . . . . . . . . . 7 C. OVERVI EW OF MEAS_AL L FI L E DEVEL OPMENT

. . . . . . . . . . . . . . . . . . . . . . 8 D

. N E W D A T A B A S E D E S I GN R E A S O N I N G

.............................. 11 E. OVERVI EW OF CONVERTI NG MEAS_AL L I

NTO AirControlNET I

NPUT F I L E S

............................................................ 11 F

. C A L C U L A T I O N E X A M P L E

......................................... 16

CHAPTER I I I . AirControlNET CONTROL MEASURE CONTENT SUMMARI ES

. . . . . . . 23

C H A P T E R

I V

. R E F E R E N C E S

................................................. 43

A P P E N D I X A : D A T A S T R U C T U R E T A B L E S

.................................. A-1

APPENDI X B : CONTROL MEASURE SUMMARY L I ST BY POL L UTANT

. . . . . . . . . . B- 1

APPENDI X C: ONROAD MOB I L E CONTROL MEASURES

. . . . . . . . . . . . . . . . . . . . . . . C-1

APPENDI X D: NONROA D MOB I L E CONTROL MEASURES

. . . . . . . . . . . . . . . . . . . . . D-1

APPENDI X E: EXPORTED MEASURES COL UMN DESCRI PTI ONS

. . . . . . . . . . . . . . . . E-1

APPENDI X F: EX TERNAL TOOL S USED TO CREATE AI RCONTROL NET MAPPI

NG A N D G R A P H I

N G C A P A B I L I T I E S

............................................. F- 1



# TABLES AND F I GURES

Table I -1 Number of Control Measure s in AirControlNET by Sector a nd Pollut ant

. . . . 1 Table I I -1 Filenames and De scription of the AirControlNET I nput Data F iles

. . . . . . . . 13 Table I I -2 Cost Equations I nputs for Eac h Ex ample Control Measur es

. . . . . . . . . . . . . 20 Table I I -3 1999 Nationwide Emissions by Pollut ant and Sec tor

. . . . . . . . . . . . . . . . . . . 21 Table I I I -1 Control Measure s Currently in AirControlNET

. . . . . . . . . . . . . . . . . . . . . . . 24 Fig ure I I -1a Modules for De velopment of Non- EGU Point, EGU, and Ar ea Sourc e F iles

. 9 F i g u r e I I

- 1 b F i n a l M e r g e o f S o u r c e F i l e s

...................................... 10 Fig ure I I -2 Over

view of Core AirControlNET Da tabase Deve lopment

. . . . . . . . . . . . . . 12PECHAN Ma y 2006

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## iv Fig ure I I -3 Data Re lationships of the Tables listed in Table I I -1

. . . . . . . . . . . . . . . . . . . 14 F ig ur e I I -4 Exa mpl e I nc re me nta l Ca lc ulatio n f or L e a st C os t Mo du le

. . . . . . . . . . . . . . . 18PECHAN Ma y 2006

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## v 

# ACR ONY M S AN D A BB RE VI AT I ONS

AB S acr

y lonitrile-butadiene sty

rene AF air-to- fuel AI M arc hitectura l and industrial maintenanc e BA AQMD Ba

y Are a Air Q uality

Manag ement District BA R C T b es t av ai l ab l e r et ro fi t co n t ro l t ec h n o l o gy CAA Clean Air Ac t CARB California Air Re source s Boa rd CENSARA Central States Air Resour ce A g encie s CO car

bon monox ide EFI G Emission Factor a nd I nventory

Group EG U e le c tr ic ity g e ne ratin g un its EPA U.S. Environmental Protection Ag ency ERC AM -V OC Em iss ion Re du c tio n a

nd Cos t A na ly sis Mo de l f

or Vo la til e Or g a nic Compounds ESP elec trostatic pre cipitator ETS/CEM Emission Tracking Sy stem / Conti nuous Emissions Monitoring FB C fluidiz ed bed c ombustion FGD flue g as desulfur ization FGR flue g as re burning FHWA Fe dera l Highw ay Administration FI P Fe dera l I mplementation Plan FI PS Fe dera l I nformation Proce ssing Standar d HA Ps ha zar do us a ir po llu ta nts Hg merc ury I /M inspection and maintena nce I C internal c ombustion I CI industrial, commerc ial, and instituti onal I R ignition re tard I SEG I nnovative Strateg ies and Ec onomics Group L -E low-emission L ADCO L ake Mic higa n Air Dire ctors Consortium L EA low

e xce ss a ir

x 

## L NB low-NO burner L PG liquefied pe troleum g as M AC T m ax i m u m ac h i ev ab l e c o n t ro l t ec h n o l o gy MARAMA Mid-Atlantic Reg ional Air Mana g ement Associa tion MSAs metropolitan statistical are as MW me g a wa tts NAAQS National Ambient Air Q uality Standards NAI CS North Amer ican I ndustry Classification Sy stem NEI National Emission I nventoryPECHAN Ma y 2006

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## vi 

# A C R O N Y M S AN D A B B R E V I A T I O N S ( c ont i nue d)

NESCAUM Northea st St ates for Coordinated Air U se Mana g ement NET National Emission Trends NGR natura l ga s rebur ning

3 

## NH a mmo nia

x 

## NO ox ides of nitrog en NSCR non-selec tive cata ly tic reduc tion NSPS New Sourc e Perf ormanc e Standar ds O& M opera ting a nd maintenanc e OAQPS Offic e of A ir Quality Planning a

nd Standards OT oxy g e n tr im OTC Ozone Transpor t Comm ission Pechan E.H. Pecha n & A ssociates, I nc. PM particula te matter

10 

## PM pa

rt ic ulate ma tte r w itha n a e ro dy na mic dia me te r o f 1 0 mi c ro ns or

le ss

2.5 

## PM pa

rt ic ulate ma tte r w itha n a e ro dy na mic dia me te r o f 2 .5 mic ro ns or

le ss R AC T re as o n ab l y av ai l ab l e c o n t ro l t ec h n o l o gy REMSAD Reg ulatory Modeling Sy stem for Ae rosols and De position SAMI Southern Appala chian Mountains I nitiative SCAQMD South C oast Air Qua lity Manag ement District SCC Source Classifica tion Code SCR selec tive cata ly tic reduc tion SESARM Southeastern States Air Re source Manag ers, I nc. SNCR selec tive non-ca taly tic reduc tion

2 

## SO sulfur diox ide tpy tons per y ear

x 

## UL NB ultra-low NO burner VOCs volatile org anic c ompounds WEST AR Wes te rn Sta te s A ir

Re so ur c e s Co un c il WI water

injection WRAP Wes te rn Re g ion a l A ir

Pa rt ne rs hipPECHAN Ma y 2006

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### 1 

# CHA P TE R I I NT ROD UCT I ON

AirControlNET is a contr ol strateg y and costing analy sis tool developed by E.H. Pecha

n & As so c ia te s, I nc . ( Pe c ha

n) fo r t he U. S. E nv ir on me nta l Pr ote c tio n A g e nc y (E PA) to b e us e d in conducting reg ulatory

impact ana ly ses of a ir pollution reg ulations and policies. AirControlNET is a re la tio na l data

ba se sy ste m in

wh ic h c on tr ol t e c hn olo g ie s a re lin ke d to so ur c e s w ith in emissions inventories. I t contains a da tabase of control mea sures a nd cost information for

x 2 

## r e d u c in g th e e mi s s io n s o f

c r it e r ia p o ll u ta n ts ( e

. g

. , o xid e s o f

n it r o g e n [N O ], s u lf

u r d io xid e [S O ], volatile org anic c ompounds [ VOCs], particulate matter with an ae rody

namic diamete r of 10

10 

## mic ro ns or

le ss [PM ], pa

rt ic ulate ma tte r w itha n a e ro dy na mic dia me te r o f 2 .5 mic ro ns or

le ss

2.5 3 

## [PM ], a mmo nia

[NH ]) a s w e ll a s c a rb on mon oxide (C O) a nd

me rc ur y (H g ) f ro m po int (u til ity and non-utility ), ar ea, nonr oad, and onr oad mobile source s as provided in EPA' s National Em iss ion I nv e nto ry

(N EI ). As su c h, Ai rC on tr olN ET is l ink e d to a nd de pe nd e nt u

po n E PA

e mis sio n in ve nto ri e s a s a

so ur c e of e mis sio ns da ta . T he c on tr ol m e a su re da ta fi le s in AirControlNET include the control ef ficienc y to calcula te emission reduc tions for that source and cost da ta (a

nnual and c apital) ne eded to c alculate the total annualized costs of a pply ing the control mea sure.

Table I -1 summarizes the number of control mea sures within AirControlNET for eac h sector a

nd
po llu ta nt.

Table I-1. Nu mber of Con trol Measure s in A irControlNET by Sector and Pollutant

M ajo r P o l l u tan t U ti l i ty NonU t i l i t y A r ea O nr oad N on r oad T ota l

3 NH 0 0 3 0 0 3

x N O 26 411 15 15 8 475 PM 24 152 13 13 0 202

2 SO 6 34 1 0 0 41 VO C 0 8 65 5 12 90 Hg 5 0 0 0 0 5



# A. DEVELO PMENT HI STO RY

Pechan f irst developed c ontrol measure databa ses for E PA that focused on individual pollutants. I n the late 1980s, Pec han deve loped the Emission Reduction and Cost Analy sis Model for Volatile Org anic Compounds (ERCAM-VOC) to provide control mea sures for VOCs. A

x x 

## companion model wa s develope d in 1994 (ERCAM-NO ) to provide similar informa tion for NO

c on tr ol m e a su re s. Th e se mod e ls w e re c a pa ble of pr oje c tin g 19 90 e mis sio ns a nd c os ts f or a ll

x 

## s ec t o rs o f V OC an d

NO em i t t er s b as ed u

p o n d at ab as es o f u n i q u e gr o wt h an d co n t ro l s t ra t egy applications. They

wer e used tog ether

in a wide r ang e of a

naly ses including examining the national cost and e mission reductions associated w ith the Title I Gene ral Prea mble, assessing the impact of c ontrol measure s bey ond Clean Air Ac t (CAA) re quirements in support of ozone and particula te matter ( PM) National Ambient Air Qua lity Standards (N AAQS) re visions, andPECHAN Ma y 2006

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### 2 

## analy ses of the pr og ress of individual non-a ttainment are as towar ds meeting rea sonable fur ther
pr og re ss r e qu ir e me nts

.

I n the late 1990s, EPA aske d Pechan to use ERCAM-like equations and me thodologies to de velop databa ses of e mission s ource s and potential control mea sures to support the de velopment and

2.5 

## implementation of the PM and 8-hour Ozone NAAQS, Section 812 Prospec tive Analy sis of the CAA, and other

policies. These databa ses wer e used to a ssist EP A in analy zing the ef

fec ts of differ ent standar ds and/or contr ol strateg ies. This evalua tion force d a movement a way from
separ ate sing le pollutant database s to a single databa se conta ining multiple pollutants, with t he

a sso c ia te d c on tr ol m e a su re s, c os ts, a nd e ff e c tiv e ne ss.

By 2001 – afte r seve ral re visions and updates – the da tabase beca me known as AirControlNET–the c ontrol measure databa se for the National Emission Trends ( NET) inventory . Howeve r, at that time, AirControlNET c onsisted of more than a dozen prog rams. A signific ant ef

fort wa s undertake n to modify these prog rams into a re lational databa se sy stem. Re vis ion s w e re ne c e ssa

ry be c a us e : 1) the pr og ra

ms w e re no t us e r fr ie nd

ly wh e n it c a me to updating or adding new c ontrol measure s, 2) the prog ram log ic was diff icult to follow since

ma ny of the c os t e qu a tio ns we re ha rd -w ir e d in to t

he so ur c e c od e , 3 ) i t w a s v e ry dif fi c ult to calc ulate costs and r eductions for any new e mission i nventories, a nd 4) too many

steps wer e

nece ssary to proce ss new data

. Today , AirControlNET has e volved into a more use r fr iendly platform and of

fer s new func tions for a naly zing diffe rent ty

pes of c ost scenar ios. An interfa ce w as deve loped that provides incre ased f

unctionality . Pechan a lso made important prog ram de sign c hang es to improve upon the databa se input, opera tions, flex ibilit y , and output g ener ation. These inc lude, but are not l i m i t ed
, t o t h e f

o l l o wi n g:

1. Facilitate addition or r evision of control measure information . This was ac hieved by adding all control mea sure infor mation to data tables used by the prog ram. The previous ver sion had numerous numer ic equa tions for specif ic control mea sure

scena rios hard- wired into the c ode. The se multiple equations wer e re place d with a single equation that uses va riables r elated to the c ontrol measure databa ses and emissions inventory . Wit h this format, control mea sures c an be a dded or r evised wi tho ut p ro g ra

m c ha ng e s. Re vis ion s a

re a c c omp lis he d b y

c ha ng inginp ut d a ta

fi le s.

2. Add flexibility in using dif ferent em issions i nput files . Previous versions of the AirControlNET prog rams could only apply control mea sures to the 1996 NET inventory . Revised prog rams now ha ve the a bility to use diffe rent ba se emission inp ut f ile s in or de r t o a

pp ly c on tr ol m e a su re s to oth e r y e a rs a nd /or inv e nto ri e s. Th is is an important advanc ement to the sy stem, since it is anticipated that c omprehe nsive

c on tr ol m e a su re da ta

ba se s w ill ne e d to be de ve lop e d f or fu tur e y e a r i nv e nto ri e s.

3. Cod

ifi e d a nd au tom ate d th e de v e lop me nt o f th e Ai rCo ntr olN

ET i np ut d

ata ba se . T his
g rea tly reduc es the time nee ded to proc ess new data or e mission esti mates. Ne w

ve rs ion s o f t

he Ai rC on tr olN ET da ta

ba se c a n n ow be pr e pa

re d in a mor e tim e ly fashion.PECHAN Ma y 2006

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## 4. Gene rate multiple output fi les to mee t specific user ne eds . AirControlNET ca n g ener ate f iles to meet the individual needs of users ra ng ing f rom cost inputs for

e c on omi c imp a c t mo de lin g or e mis sio n r e du c tio ns fo r a ir qu a lit y mod e lin g , to

su mma ry fi le s w ithmor e g e ne ra l c ha ra c te ri zat ion

of se le c te d c on tr ol m e a su re s.

These improve ments are expected to make this tool better a ble to meet the ne eds of policy analy sts and others in conduc ting c ontrol strateg y and costing analy sis of environmental

re g ulatio ns or

po lic ie s.



# B. OVE RV IEW OF Air Cont rolNET

The c ore of

AirControlNET is a re lational databa se sy stem develope d in Visual FoxP ro ver sion 7.0 in which control mea sures a re linked to e mission s ource s provided in EPA emissions inv e nto ri e s. Th e sy ste m c on ta ins a da ta ba se of c on tr ol m e a su re a

pp lic a bil ity , e ff ic ie nc y , a nd c os t

x 2 10 2.5 

## inf or ma tio n f or re du c ingthe e mis sio ns of c ri te ri a po llu ta nts (e .g ., NO , SO , V OC , PM , PM

3, 

## with org anic c arbon a

nd elementa l car

bon components) a s well as NH CO, and Hg from point (u til ity a nd no n- uti lit y

), a re a/no nr oa d, a nd

on ro a d mo bil e so ur c e s. Th e c on tr ol m e a su re da ta fi le in AirControlNET includes not only the control e fficie ncy

and ca lculated e mission reductions as applied for

a par ticular sourc e, but also estimates the a nnual and c apital costs for a pplication of the control mea sure to that spec ific sourc e.

Ai rC on tr olN ET re lie s o n th e c on tr ol e ff ic ie nc y , th ro ug hp ut, fu e l us e , a nd e mis sio n f

a c tor da ta provided in the EPA NEI format to per form cost-r elated a naly sis. The control mea sure information was obta ined by examining the tec hnical and c ost data fr om EPA reports and othe r literature source s. As indicated in Ta ble I -1, AirControlNET c urre ntly contains informa tion on

sever al hundre d differ ent control mea sure/sourc e combinations. The c ontrol data is ac cesse d throug h a Cost POD, which is linked to sources by Source Classifica tion Code (SCC ), as descr ibed in Appendix A of the AirControlNET Doc umentation Report (Pec han, 2006).

AirControlNET wa s develope d as a V isual FoxP ro Applica tion. The user, how ever , does not

n ee d Vi s u al Fo x P ro t o ru n t h i s t o o l
, as al l s u p p o rt i n g d at a f

i l es ar e t ra n s fe rr ed t o t h e u s er 's computer dur ing installation. The minimum sy stem require ments for installation and oper ation of AirControlNET include : 1) Windows 98, W indows 2000, or Windows XP; 2) CPU Speed = 233 MHZ ,; 3) RAM = 64 MB ; 4) Har d Drive F ree Space = 650 MB; and 5) Display - Mode VGA/Colors = 256/Resolution = 800 x 600. A CD-ROM drive is re quired to install the softwar e from an installation CD-ROM. The minimum require ments stated above include those re quired for the ve rsion 4.1 tool and the 1999 control mea sure da taset distributed with the tool. They do not include additional har d drive fr ee spa ce tha t would be nee ded if a dditional control measure datase ts were loaded into the tool. Ty pical national da tasets re quire be tween 200- 300 MB of

a dd iti on a l ha

rd dr ive sp a c e pe r d a ta se t.

I n addition to Visual FoxP ro, the AirControlNET a pplication uses two supplementar y softwar e products to cr eate the mapping and g raphing capa biliti es within the tool. The first is Gra phics Se rv e r ( ww w. g ra

ph ic sse rv e r. c om) wh ic h is us e d to a uto ma te the c re a tio n o f c us tom iza ble plo ts within the least cost module. The se cond is Scalable Vec tor Gra phic (SVG)PECHAN Ma y 2006

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## (w ww .a do be .c om/ sv g /ma in. htm l) is u se d to pr ov ide the ma pp ingc a pa bil iti e s w ith in AirControlNET.



# C. HOW THIS RE POR T IS OR GAN IZ ED

Th e re ma ind e r o f t

his re po rt c on ta ins the fo llo wi ng tw o c ha pte rs a nd fo ur a pp e nd ic e s:

Chapter I I . AirControlNET Da tabase Deve lopment: This chapter de tails the development of the re lational databa se that ser ves as the c ore of

this tool , i.e., merg ed data base ma tching

o f a p p r o p r i a t e c o n t r o l m e a s u r e s t o e m i s s i o n s o u r c e s w i t h i n a n E P A i n v e n t o r y.

Cha pte r I I I . A ir Con tr olN ET Con tr ol M e a su re Con te nt S umm a ri e s: T his c ha pte r p ro vid e s a listi ng of the c ontrol measure s curr ently in AirControlNET.

Appendix A. Database Structures for control mea sure da ta sets: This appendix provides
ta ble s w iththe da ta

ba se str uc tur e s o f t

he se ke y da ta ba se s.

Ap pe nd ix B . Co ntr ol M e a su re Sum ma ry L ist B y Pol lut a nt: Th is a

pp e nd ix pr ov ide s a listi ng of control mea sures sorte d by pollutant that includes details such as other aff ecte d
po llu ta nts , c on tr ol e ff

ic ie nc y , a nd c os t- e ff e c tiv e ne ss.

Ap pe nd ix C. O nr oa d M ob ile Con tr ol M e a su re De ve lop me nt: Th is a pp e nd ix doc ume nts the onroa d mobile source c ontrol measure s in AirControlNET.

Appendix D. Non-road Control Mea sure De velopment: This appendix documents the nonroad mobile sourc e contr ol measure s in AirControlNET.

Appendix E. Database Structures for the control mea sure e x ports with column descriptions Th is a pp e nd ix pr ov ide s ta

ble s w iththe da ta

ba se str uc tur e s o f t

he se ke y da ta ba se s.

Appendix F. Ex terna l Software T ools: This appendix descr ibes the 3 party softwar e rd 

## products used w ithin the AirControlNET application to cre ate the A irControlNET mapping

a nd g ra ph ingc a pa bil iti e s.PECHAN Ma y 2006

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### 5 

# C H A P T E R II Ai r Co n t r o l NE T D AT AB AS E D EV EL OP M EN T

This chapter

provides informa tion on the development of the control mea sure da tabase s that

serve as the c ore of

AirControlNET. I t includes information on the da tabase inputs (emission inv e nto ri e s and

c on tr ol m e a su re s) , f

ile de ve lop me nt p ro c e du re s, a nd da ta c on ve rs ion

ro uti ne s.



# A. INPUT DATABASE S: EMI SSI ONS I NVENTORY

Ai rC on tr olN ET pr ov ide s c on tr ol m e a su re da ta a pp lie d to se ve ra l E PA e mis sio n d a ta ba se s. Th is

se c tio n p ro vid e s a n o ve rv ie w o f t he se e mis sio ns inv e nto ri e s.

EPA’ s Off

ice of Air Qua lity

Planning a

nd Standards (O AQPS) prepa res a national databa se of

a ir e mis sio ns inf

or ma tio n c a lle d th e NE I wi th i np ut f ro m nu me ro us Sta te a nd

loc a l a ir a g e nc ie s, Tribes, a nd industry . The NEI

contains informa tion on pollut ant emissions from stationary and mob ile so ur c e s f

or c ri te ri a a ir po llu ta nts a nd

the ir pr e c ur so rs , a s w e ll a s h a zar do us a ir po llu ta nts (H APs ). Th e NE I inc lud e s a nnua l e mis sio n e sti ma te s f or a ll s ou rc e s o f a ir

po llu ta nts a c ro ss a ll 50 States and the District of Columbia. Emission estimates for individual point sources (fa cilities), as we ll as county -leve l estimates for a rea , nonroad, a

nd onroad mobile a

nd other

source s are included.

The main foc us of AirControlNET is cr iteria a ir pollutants for which EPA ha s set ambient he a lth -b a se d s ta nd a rd s ( htt p:/ /w ww .e pa .g ov /a ir

/ur ba na ir /6p oll .h tml ). F ou r o f t

he six c ri te ri a

x 2 

## po llu ta nts a re inc lud e d in the NE I da ta

ba se . T he se a

re CO , N O , SO , a

nd pr ima ry pa rt ic ulate

10 2.5 3 

## matter (PM and PM ). I n addition, the NEI includes emissions of VOCs and NH . Ozone,

x 

## which is one of the six criter ia air pollutants, is cre ated by a che mical re action betwe en NO and VOC in the prese nce of

heat a nd sunlight.

Three g ener al classific ations of air pollution source s are contained in the N EI . These a re point

so ur c e s, a re a

so ur c e s, a nd

mob ile so ur c e s.

• Poi nt s ou rc e s a re sta tio na ry so ur c e s o f e mis sio ns , s uc h a s a n e le c tr ic po we r p la nt, that can be identified by

name a nd location. A po int source emits a threshold amount (or more ) of a t least one c riteria pollutant, and must be inve ntoried and r eporte d by the States. Applicability

limit s for States re porting a fa cility as a point sourc e at the time the NEI

databa ses wer e pre pare d wer e for any point source with ac tual emissions gre ater

than or e qual to any

one of the following levels: 100 tons per y ear

x 1 0 

## (tpy ) for sulfur oxi des, NO , VOC, and PM ; 1,000 tpy for CO; and 5 tpy

for lea d (F R, 2002). Many

States also inventory

and re port data to EPA for stationary

source s that emit amounts below the thresholds for eac h pollutant. Poi nt sources a re of ten broken up into two ca teg ories, Elec tricity Gene rating Units (EGU) or utilit ies and Non-Elec tricity

Gene rating Units (non-EGU) . For EGUs, emissions data a

re ba sed

on EPA ' s E mis sio n T ra c kin g Sy ste m / Co nti nu ou s E mis sio ns Mo nit or ingDa ta (ETS/CEM). For non- EGUs, emissions data a re ba sed on re ported State da ta or older inventorie s in instances whe re no r ece nt State data wa s submitt ed.PECHAN Ma y 2006

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## • Are a sourc es ar e small point sources, suc h as g as stations or dry clea ners, or distributed stationary

source s, such as wildfire s or ag ricultural tilling. The se sourc es do not individually

produce sufficie nt emissions t o qualify as a point sourc e. F or example, a sing le dry

clea ner w ithin a county

will ty pically not qualify

as a point

source , but collectively

the emissions from all of the dr y clea ning f acilities in a county may be sig nificant, a

nd there fore are included in ag g reg ate a t the county level within the emissions i nventory . For these sourc es, emissions data ar e most often ba se d o n r e po rt e d St a te da ta a nd su pp le me nte d b y

EPA e sti ma te s f

or so me so ur c e s, and older inventories whe re no State is ava ilable.

• Mo bil e so ur c e s a re a ny ve hic le or

e qu ipm e nt w itha

g a so lin e or

die se l e ng ine . T he se inc lud e bo th o nr oa d v e hic le s ( c a rs a nd tr uc ks ) a nd no nr oa d ( tr a c tor s, la wn

mow e rs , a ir pla ne s, a nd sh ips ) v e hic le s a

nd e qu ipm e nt. Mo bil e so ur c e e mis sio ns a re us ua lly estimated at the c ounty

level. F or onroa d mobile sources, e missions data a re ba sed on the Fe dera l Highw ay

Administration's (F HWA) estimate of ve hicle miles trave led

a nd e mis sio n f

a c tor s f ro m E PA' s MO B I L E M od e l ( EPA , 2 00 2a ). F or no n- ro a d mn mobile sources, e missions data a re ba sed on EPA' s NONROAD Mode l (EPA, 2003).

Please re fer

to htt p:/ /w ww .e pa .g ov /tt n/c hie f/

ne t/i nd e x.htm l for ba ckg round and a dditional inf or ma tio n o n n a tio na l e mis sio ns inv e nto ri e s in c lud ingc ur re nt a nd fu tur e NE I da ta . A lso no te that many of the qua lity

assura nce c hecks done on the emissions inventories are completed by the Emission Factor a

nd I nventory

Group (E FI G) within EPA’s OAQPS. EFI G staff chec k to ensure that identifiers, such a s Fe dera l I nformation Proce ssing Standar d (F I PS) and SCC , are corr ect a nd that in ve nto ry

da ta a re wi thi n a c c e pta

ble ra ng e s.

AirControlNET 4.1 off

ers f lexi bility of loading the base line and user modified emissions data for

e mis sio n r e du c tio n a

nd c os t e va luatio n o f c on tr ol s tr a te g ie s. Th e se da ta se ts h a ve to b e in specific define d input format to be loade d into AirControlNET.

As c ur re ntl y c on fi g ur e d, Ai rC on tr olN ET c a n n ot a c c e pt e mis sio ns inv e nto ry fi le s d ir e c tly

a nd it is n ot c ur re ntl y po ssi ble fo r s ome on e to c on fi g ur e a n e mis sio ns inv e nto ry fo r d ir e c t us e in Ai rC on tr olN ET . H ow e ve r, if a n A ir Con tr olN ET us e r i s a ble to p ro vid e the ir

e mis sio ns da ta

to EPA in the corr ect f

lat file for mat, it is relatively

easy for EPA to run the pr e-pr ocessing softwar e to cre ate a

new c ontrol measure datase t which ca n be subseque ntly

imported into the Tool. As de sc ri be d b e low , th e re qu ir e d f or ma t by Ai rC on tr olN ET ' s p re -p ro c e ssi ng pr og ra ms i s a fl a t f ile fo rm a t.

EPA ' s O ff

ic e of Ai r Q ua lit y

Plann inga nd

Sta nd a rd s p re pa

re s a na tio na l data

ba se of a ir emissions information called the N ational Emissions I nventory (NEI ) with input from numerous State and loca l air ag encie s, Tribes, and industry . The NEI databa se is in a def

ined forma t called NEI For mat version 3 (i.e . NI F3) . The de tail of this format is provided at htt p:/ /w ww .e pa .g ov /tt n/c hie f/

nif /ni f3 .h tml . T he da ta

fi le s f ou nd a t th is l ink

pr ov ide the fi e ld naming convention and data expectations of AirControlNET.

As th e req ui red f

orm at o f Ai rC on tr ol NET 's pre -pr oces si ng pro gram i s l oo sel y bas ed o n t he N I F3 format, the f

irst step to perfor

ming this proce ss is to convert the fr om the EPA' s NI F3 e missionsPECHAN Ma y 2006

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### 7 

## da ta fo rm a t in to a

fl a t f ile fo rm a t us e d b y

the Ai rC on tr olN ET pr e -p ro c e sso r. Th e c on ve rs ion to the flat file c an be done using da tabase query commands. The r equire d data struc tures will be
pr ov ide d b y

EPA up on

re qu e st.

As curr ently

config ured, c ontrol measure datase t for Onr oad sourc es ar e cr eate d offline using EPA' s Mobile 6.2 emissions m odel. Onroa d control mea sure da taset ar e ava ilable for the entire country for 1996, 1999, 2001, 2007, 2010, a nd 2015.



# B. INP UT DA TAB AS ES: CON TRO L ME AS UR E F ILES

AirControlNET includes c ontrol measure and applica bility information that ar e org anized and linked by Cost P OD. A Cost POD is a g roup of sourc e ty pes, as de fined by

SCC s, which have simil ar e mission charac teristics, control tec hniques, and c ontrol costs. A Cost P OD may have

on e or se ve ra l c on tr ol s tr a te g ie s ( wh ic h c on sis t of c on tr ol o pti on s, e ff

ic ie nc y , a nd c os t information). All of the e mission reduction and control c ost calcula tions are pe rfor med at the Cost P OD leve l as the Cost POD is the data key used to link the control applica bility information throug h the POD/SCC Crosswalk. The sour ce a pplicability

calc ulations are pe rfor

med in a pre

proce ssing pr og ram that is external to AirControlNET and the details of these calc ulations are

no t in c lud e d th e re . T he c on tr ol m e a su re da ta se ts u se d w iththe Ai rC on tr olN ET too l ha ve thi s applicability

built in t o them, by

desig n. The sourc e applica bility information (i.e., c onnection betwee n Cost P OD and SCC) for e ach c ontrol measure is defined in the doc umentation of ea ch control mea sure. The details ca n be found in Pec han, 2006.

I nf or ma tio n f or e a c h c on tr ol m e a su re ha s b e e n c a re fu lly c oll e c te d a

nd re po rt e d to the EPA thr ou g h s e pa

rate re po rt s f

or va ri ou s se c tor s ( i.e
., a re a/no nr oa d, uti lit y a nd no n- uti lit y

po int
, o n r o a d m o b i l e )

. Im p o r t a n t a s p e c t s o f e a c h c o n t r o l m e a s u r e , s u c h a s a p p l i c a t i o n , f

u n c t i o n a l i t y, cost and c ontrol eff

iciencie s were repor

ted at the time of a

naly sis. I n addition to the various
repor ts, all the control measur e informa tion is out lined in a 2005 re port ca lled the AirControlNET Volume I I I : AirControlNET, Ver sion 4.1, Control Measure Doc umentation Report (Pec han, 2006). Ma ny of the c osts for the contr ols were derive d using infor mation from the EPA Control Cost Manual (E PA, 2002b).

AirControlNET ca lculates c osts by three differ ent methods: using a dollar per

ton of pollutant

e mis sio n r e du c e d, us inga n e qu a tio n, or bo th. Mo st o f t

he c on tr ol c os t in fo rm a tio n w ith in t his
too l ha s b e e n d e ve lop e d a s c os t pe r t on inp uts . T his c a n b e a ttr ibu te d to the da ta re qu ir e me nts for e stimation based on equations and the fac t that para meters use d in other costing methods may not be re adily

available or broa dly

repr esenta tive acr oss sources w ithin the inventory . The costing equations used in AirControlNET r equire either pla nt capa city

or stack f low to determine annual, c apital and/or O &M c osts. Capital costs are c onverte d to annual costs, in dollars per ton, using the capital r ecove ry fac tor. The c apital re cover y fac tor incorpor ates the inter est rate and equipment life (in y ear s) of the c ontrol equipment. Control measure costs identified as " both"
use equa tions unless plant capac ity or stack f low data is incomplete in the EPA e mission inventories. I n that case , a def ault dollar per

ton of pollutant reduce d value is applied. D etailed documentation for

all costing methods is provided in AirControlNET Volume I I I : Control Measur es Doc umentation (Pecha n, 2006) along with descriptions of contr ol measure s and

e mis sio n r e du c tio ns

.PECHAN Ma y 2006

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### 8 

## AirControlNET 4.1 allows user s to modify some para

meters of control mea sures to per form

se ns iti vit y a na ly sis . T o p re ve nt a

mbi g uo us re su lts , q

ua lit y a ssu ra nc e of mod if ie d p a ra me te rs is done by allowing user to modify

para meters only

within certa in rang es. Err or messag es ar e

re po rt e d to us e rs a nd

c on tr ol m e a su re s w ithe rr or s c a nn ot b e sa ve d b y the us e r. Se ns iti vit

y analy sis results can be seen on- the-fly , as we ll as, permane nt emissions datafile with modified controls ca

n be made with AirControlNET 4.1.

AirControlNET 4.1 also allows user s to add mobile controls throug h that Mobile Measure s Tool. This tool does not allow users to add duplicate controls to AirControlNET and a llows creation of

ne w d a ta se ts w ithne w M ob ile c on tr ols . T he se da ta se t c a n b e us e d b y

Con tr ol S c e na

ri o M od ule (CSM), L east Cost Module (L CM) and re porting module.



# C. OVERVI EW O F MEAS_ ALL FI LE DEVEL OPMENT

Fig ure I I -1 provides a

n overvie w of the two- step automated pr ocess that c rea tes the control

measure data f

ile require d by

AirControlNET. Eac h of the modules re quires two inputs: 1) an emissions inventory , 2) control mea sure infor mation, and applica

bility information as de scribed above.

The fir st step, as shown in Fig ure I I -1a, involves the ma in prog ram “ make_mea s_all.prg ” that

ru ns thr e e se pa

rate mod ule fo r e a c h o f t

he thr e e ma

jor se c tor s: n on -u til ity

po int so ur c e s, uti lit y

source s, and ar ea sour ces. Ea ch of the three modules uses a fla t file forma t of the NEI inventory as the star ting point for the proce ss. The three modules contain the c oding ne cessa ry to link the control mea sure da ta as de scribed a bove (i.e ., control mea sure, c ontrol eff iciency , costs, and
ap p l i ca b i l i t y

) i n t o t h e E P A e m i s s i o n i n v en t o ri es

. T h e C o s t P OD d at a f i el d s er v es as t h e l i n k age betwee n the emissions inventory and the c ontrol measure information. As noted a bove, this link is perfor med external to AirControlNET. Control measure reduc tions and costs are estimated wi thi n e a c h mo du le us ingc on tr ol e ff ic ie nc y , c a

pit a l c os t, o pe ra

tin g a nd ma int a nc e c os ts. Ple a se

no te that th e on -r oa d mo bil e a nd no nr oa d s ou rc e s a

re pr oc e sse d in de pe nd e ntl y a s d e ta ile d in A p p e n d i x C a n d

D
, r e s p e c t i v e l y.

I n the sec ond step of the MEAS_AL L file deve lopment proce ss, as shown in Fig ure I I -1b, the output files from ea ch of the three module are merg ed with ea ch other and the two mobile sourc e data f iles thereby

cre ating the control mea sure da ta file na med meas_a ll.dbf. A detailed descr iption of the structure a nd contents of mea s_all.dbf is provided in Appendix A.

As part of this development proce ss, Pechan c onducts sever al quality assura nce/qua lity

control chec ks for e ach of

the major sec tor pollutant modules used to develop the AirControlNET da ta ba se . M os t of

the se c he c ks de te rm ine wh e the r t he e mis sio ns inv e nto ry

da ta a re in a c c e pta

ble
rang es. Examples of fields that ar e che cked f or valid ra

ng es include c ontrol eff

iciencie s of

curr ent controls, stac k flow ra tes, and c apac ities. Rule effe ctiveness, r ule pene tration and c ontrol eff iciency are chec ked to ensure that they are in perc entag e for

mat (e.g ., 95 instead of 0.95)

. Rule eff ectivene ss is set to a defa ult value of 100 pe rce nt for value s listed as 0 perc ent. B oiler desig n capa city

and stac kflow ar e che cked to e nsure the pr oper units (meg awa tts [ MW] and

c ub ic fe e t pe r m inu te , r e sp e c tiv e ly ). Th e po llu ta

nt m od ule s a lso c he c k f

or un re a so na

ble c on tr olPECHAN Ma y 2006

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## Fi gu re I I- 1a. Mo du les for D ev elo pm ent o f No n- EGU Po in t, EGU , an d A rea Sou rce Fi lesPECHAN Ma y 2006

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## Fi gu re I I- 1b. F in al M erg e o f Sou rce Fi lesPECHAN Ma y 2006

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### 11 

## eff iciency values a nd rese t them to appropriate values. The maxi mum control eff iciencie s are 95

x 2 

## perc ent for N O , 99 perc ent for V OC, 99.99 perc ent for SO , 99.5 perc ent for PM and se condar y

or g a nic a e ro so l c on tr ol e ff ic ie nc y va lue s mu st b e e qu a l to VO C c on tr ol e ff ic ie nc ie s.



# D. NEW DATABAS E DESI GN REASONI NG

The pre vious relea se of Air ControlNET contains more tha n 1.5 GB of data . I n 2004 Pechan w as tasked with adding three y ear s to AirControlNET which would have doubled the size of the

curr ent data se t. Redesig ning the databa se structure signific antly cut the size of the files a

nd

a l l o w s f o r i m p r o v e d

A i r C o n t r o l N E T f

u n c t i o n a l i t y.

When AirControlNET was f irst desig ned, the da ta set wa s small compare d to the prese nt. Be cause of this, a databa se desig n that require d one fla t file to be implemented wa s selecte d which sac rifice d disk space f or the fa stest return of

results. As time prog resse d, more da ta was

a dd e d to the ini tia l data

se t.

Pechan the ref

ore implemente d a new

desig n that reduc es the size of re peate d information but
reta ins a familiar struc ture so that fr equently used data is quickly

acc essed. I mplementing the new da tabase desig n require d application wide c hang es to the code , but drastically improved the
space consumption of the AirControlNET files a s well as eliminate c urre nt ambiguities in the code.



# E. OVE RV IEW OF CO NV ERT ING M EAS _ALL INTO AirC ontrolNE T INP UT FILE S

With the a dv e nt o f t

he ne w d a ta

ba se de sig n, Ai rC on tr olN ET inp ut f ile s a re g ro up e d in to d a ta

se ts that repr esent a

base or modified emission y ear . Eac h data se t consists of 14 table files and two index fil es which c an be joined tog ether to produce identical output as pre vious versions of AirControlNET.

Fig ure I I -2 provides the proce ss by which the mea s_all_<y ear > data base ( e.g ., me a s_ a ll_ 19 96 .d

bf ) i s c on ve rt e d in to a

n A ir Con tr olN ET da ta

se t. A s sh ow n, thi s p ro c e ss involves two separ ate pr og rams (i.e ., acn_Ca lculateI ncre mentalData .prg and

a c n_ Cr e a te DSF ro mMe a sa ll. pr g ) t ha t se rv e to r e fo rm a t data a nd a dd inf or ma tio n in or de r t o develop the data set files for AirControlNET. Table I I -1 lists the file names of the Ai rC on tr olN ET inp ut d a ta ta ble s. F ig ur e I I -3 sh ow s th e da ta re la tio ns hip s o f t

he ta ble s li ste d in Table I I -1. The pr imary

data ke y s are labeled a s PK in Fig ure I I -3.

T h e p ro gra m ac n

_ C al cu l at eInc re m en t al Da t a. p rg:

• ta ke s th e un mod if

ie d me a s_ a ll_ < y e a r> .d

bf a s a n in pu t.PECHAN Ma y 2006

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## Figure II-2. Ov erv iew of Core A irControlNET Database Dev elopme ntPECHAN Ma y 2006

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## Tab le I I- 1. Fi len ames and D escri pt io n of t he A irC on tr ol NE T In pu t Dat a F iles

FI LE NA M E De s c r i pt i on t acn_Key s_<da t a set nam e>. D BF M ai n key t abl e. L i nks t o al l dat a set t abl es. t acn_Key s_<da t a set nam e>. C D X Key i ndex f i l e. t acn_Em i ssi ons_< dat a set nam e>. D BF Em i ssi on a nd co st t abl e. t acn_Em i ssi ons_< dat a set nam e>. C D X Em i ssi on a nd co st i ndex f i l e. t acn_Ef f ect i v eness_< dat a set nam e>. D BF C ont r ol Ef f i ci ency and R ul e Ef f ect i v eness t abl e. t acn_Key s_I gnor ePol l ut ant _<da t a set nam e>. D BF I ndi cat es whi ch key s shou l d be i gnor ed. t acn_Key s_M axt Pol l ut ant _<da t a set nam e>. D BF I ndi cat es whi ch key s ar e M axt r ows. ta c n

_ K e ys

_ R e m s a d T o ta ls

_ < d a ta s e t n a m e > .D B F R E M S A D T o ta ls f o r e a c h k e y. tla c n

_ g e o g r a p h ic

_ < d a ta s e t n a m e > .D B F G e o g r a p h ic lo o k u p ta b le . C o n ta in s S ta te , c o u n ty, and m sa i nf or m at i on. t l acn_m eas_< dat a set nam e>. D BF M easur e l ookup t abl e. t l acn_SC C Sect or _<da t a set nam e>. D BF SC C and Sect or l ookup t abl e. t l acn_si c2_<d at a set nam e>. D BF Si c2 l ookup t abl e. t l acn_si c4nai cs3_<d at a set nam e>. D BF Si c4 an d Nai cs3 l ookup t abl e. t l acn_pl ant _<da t a set nam e>. D BF Pl ant l ookup t abl e. t l acn_po i nt _<da t a set nam e>. D BF Poi nt l ookup t abl e. t l acn_st ack_<dat a set nam e>. D BF St ack l ookup t abl e. t l acn_seg m ent _<da t a set nam e>. D BF Segm ent l ookup t abl e.PECHAN Ma y 2006

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### 14 

## Figure II-3. Data Rel ationships of the Tables listed in Table II -1PECHAN Ma y 2006

T he RE MS A D s e ct o r

ke y an d ke y ar e r e qui r e d f

o r th e de v e l o pm e nt o f

a C o ntr o l F ac to r

F il e w hic h s e r v e s as th e r e qui r e d i nput

to th e 1

R E M SAD- ST a i r q u a li t y mo d el. Th e R E M SAD s ec t or k ey i n d i c a t es ei t h er a n Area ( A) or Po i n t (P) sou rc e. Th e R E M SAD k ey i s a c h a ra c t er i d en t i fi er c on t a i n i n g FI PS St a t e, FI PS C ou n t y, 5 c h a ra c t ers of P la n t I D (f or p oi n t sou rc es)
, a n d SC C

. Plea se ref er t o t h e AirC on t rolN E T Us er M a n u a l for

mo re d et a i ls on t h e d evelop men t of i n p u t sc ri p t s f or u se i n R E M SAD- ST.

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### 15 

## • a dd s f

ou r f ie lds fo r e a c h p oll uta

nt:

• incre mental pollutant

• perc ent re duction pollutant

• delete pollutant fla g

• m ax i m u m p o l l u t an t fl ag.

(NOT E: The v alues of

these a dd itio nal f

ields are a lso determ ined w ithi n th is program . T he delete poll utan t f lag ind icates

w het her or not t he cont rols m ak e se nse in te rm s of c ost -e f f ec tiv ene ss c rit er ia

(i .e ., i t f la g s cont rol/ sour ce re cor ds if

the y c ost m ore tha n othe r c ontrol s w

hic h g iv e hig her

e m is si ons re duct ions .)



## • c a lc ulate s th e ma ximumc on tr ol v a lue s, pe rc e nt e mis sio ns re du c tio ns , in c re me nta l c os ts

a nd e mis sio ns re du c tio ns

.

Th e pr og ra

m a c n_ Cr e a te DSF ro mMe a sa ll. pr g :

• takes the modified ve rsion of mea s_all_<y ear > data base tha t results from the fir st step as

a n in pu t.

• re mov e s r e c or ds wi th t ota l e mis sio ns of le ss t ha n 0 .1 ton s ( ov e r a ll t he po llu ta nts )

• ref ormats ce rtain fields

• op tim ize s th e fl a t f

ile by sp lit tin g it i nto the 16 da ta se t f ile s.

• the pollutant value fie lds are c hang ed to contain thre e cha rac ters instead of

one (e .g ., NOX instead of N)

• the following data f ields are added:

• me a su re na me

• measure descr iption

• so ur c e na me

• North Amer ican I ndustry Classification Sy stem (NAI CS) code

• NAI CS description

• reg ional flag fields

• Reg ulatory

Modeling Sy stem for Ae rosols and De position (REMS AD) se ctor ke y

• R E M S A D k e y. 1



## T h e r egi o n al fl ag f

i el d s i n cl u d e t h e f

o l l o wi n g:

MSA - This field lists t he Metropolitan Statistical Are as (MSAs). The MSA field includes metropolitan and c onsolidated are as. F urther inf ormation on MSA definitions can be obtained fr om the U.S. Census Bure au we bsite at htt p:/ /w ww .c e ns us .g ov /po pu la tio n/w ww /e sti ma te s/m e tr oa re a .h tml

.PECHAN Ma y 2006

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### 16 

## WRAP - Western Reg ional Air Partner ship ( http:// www.wr apair .org )

WEST AR

- We ste rn

Sta te s A ir Re so ur c e s Co un c il ( http:// www.we star.org )

LADCO - L a ke Mic hig a n A ir Di re c tor s Co ns or

tiu m ( h t t p : / / ww w. l ad co

. o rg) NESCAUM - Northe ast States for Coordinate d Air Use Ma nag ement ( http:// www.ne scaum.org )

MARA MA - Mid-Atlantic Reg ional Air Mana g ement Associa tion ( h t t p : / / ww w. m ar am a. o rg)

OTC - Ozone Tra

nsport Commi ssion ( http:// www.otca ir.org )

CENSARA - C e ntr a l Sta te s A ir Re so ur c e Ag e nc ie s ( http:// www.c ensar a.org )

SES ARM - Southeaster

n States Air Resourc e Mana g ers, I nc. ( htt p:/ /w ww .me tr o4 -s e sa rm .o rg /se sa rm .a sp )

SAM I - Southern Appa lachian Mounta ins I nitiative ( htt p:/ /w ww .tv a .g ov /sa

mi/ )

NERC - N or

th A me ri c a n E le c tr ic Re lia bil ity Counc il ( http:// www.ne rc.c om )



# F. CA LCU LAT ION E XA MP LE

The c ore of

AirControlNET is a re lational databa se sy stem develope d in Visual FoxP ro ver sion 7.0 in which control mea sures a re linked to e mission s ource s provided in EPA emissions inventories. The sy stem also contains a da tabase of control mea sure a pplicability , eff

iciency , and

x 2 

## c os t in fo rm a tio n f

or re du c ingthe e mis sio ns of c ri te ri a po llu ta nts (e .g ., NO , SO , V OC , PM , PM

3 

## with org anic c arbon a

nd elementa l car

bon components) a s well as NH , CO, and Hg from point (u til ity a nd no n- uti lit y

), a re a/no nr oa d, a nd

on ro a d mo bil e so ur c e s.

The c ontrol measure information was obta ined by examining the tec hnical and c ost data fr om EPA repor

ts and other litera ture sourc es. I n addition to the various re ports, all the control

m e a s u r e i n f

o r m a t i o n i s o u t l i n e d

i n a 2 0 0 5 r e p o r t c a l l e d

t h e A i r C o n t r o l N E T V o l u m e III : AirControlNET, Ve rsion 4.1, Control Measure Documenta tion Report (Pecha n, 2006). Many

of the costs for the controls wer e der ived using information from the E PA Control C ost Manual (EPA, 2002b).

These c ontrols are assig ned to spec ific sourc es (i.e., pla nt/point/ seg ment) using SCC as the ke y

. I n A ir Con tr olN ET , c on tr ol m e a su re a pp lic a bil ity inf or ma tio n a re or g a nize d a

nd lin ke d b y Cos t POD. A Cost POD is a gr oup of sourc e ty pes, as de fined by

SCC s, which have simil ar e mission char acte ristics, control technique s, and control c osts. A Cost P OD may have one or seve ral control strate g ies (which c onsist of control options, efficie ncy , and cost infor mation). All of the

e mis sio n r e du c tio n a

nd c on tr ol c os t c a lc ulatio ns a re pe rf or me d a t th e Cos t PO D l e ve l. T he Cos t POD is used to link the control applicability information throug h the POD/SCC Crosswalk.PECHAN Ma y 2006

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### 17 

## The c ontrol measure data f ile in AirControlNET includes not only the control e fficie ncy

and calc ulated emission reduc tions as applied for a particula r sourc e, but also estimates the a nnual and ca pital costs for application of the control mea sure to that spec ific sourc e.

Ai rC on tr olN ET re lie s o n th e c on tr ol e ff ic ie nc y , th ro ug hp ut, fu e l us e , a nd e mis sio n f

a c tor da ta provided in the EPA NEI format to per form cost-r elated a naly sis. The control data

is acc essed throug h a Cost POD, which is linked to sources by SCC , as desc ribed in Appe ndix A of the AirControlNET Doc umentation Report (Pec han, 2006).

I n th e le a st- c os t mo du le , w he n mu lti ple c on tr ols a re a pp lie d to the sa me so ur c e (i .e ., pla nt/ po int /
seg ment), incre mental ca lculations are perf ormed a s descr ibed below.

The fir st step for lea st cost calcula tion is t o sort all applicable controls in incre asing order of $/t on nu mbe r. Th e y

a re so rt e d o n a

n in c re me nta l c os t $ p e r i nc re me nta l r e du c tio n b a sis

.

C o n s i d e r f o l l o w i n g f

i l t e r i n g c r i t e r i a

f o r l e a s t c o s t m o d

u l e q u e r y:

I nventory y ear : 1999 Cost Year: 1999

x 

## Pollut ant: NO % Reduction: 100 State: North Caroline ( 37) County : Chatham Co. (37037) Se c tor : Al l ut ili ty & no nu til ity

po int s

Con sid e r f

oll ow ingbo ile r a s a n e xamp le :

Plant: CP&LCAPE FEAR PL ANT Plantid: 0063 Pointi d: 6

Annual emissions from the boiler a re 3086.3 tons

Ap pli c a ble c on tr ols fo r t

he bo ile r a

re a s f oll ow s:

1. Combusti on Optimiz ation (CE = 20%) (I n Fig ure I I -4, Recor d No: 2) 2. L NC1 (CE = 33.1%) (I n Fig ure I I -4, Recor d No: 3) 3. L NC3 (CE = 53.1%) (I n Fig ure I I -4, Recor d No: 4) 4. SCR (CE = 90%) (I n Fig ure I I -4, Recor d No: 9)

I nc re me nta l r e du c tio n f

or Com bu sti on Op tim iza tio n ( CE = 20 %) is c a lc ulate d a s f oll ow s: I ncre mental re duction for Combustion Optimi zation = 3086.3 x 0.2 = 617.3 tons Total Reduction = 617.3 tons

I nc re me nta l r e du c tio n f

or L NC 1 ( CE = 33 .1 %) is c a lc ulate d a s f oll ow s: I nc re me nta l r e du c tio n f

or L NC 1 = 30 86 .3 x 0.3 31 - 6 17 .3 = 40 4. 3 to nsPECHAN Ma y 2006

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### 18 

## Total reduc tion = 1021.6 tons

I nc re me nta l r e du c tio n f

or L NC 3 ( CE - 53 .1 %) is c a lc ulate d a s f oll ow s: I ncre mental re duction from L NC3 = 3086.3 x 0.531 - 1021.6 = 617.3 tons Total reduc tion = 1638.9 tons

I nc re me nta l r e du c tio n f

or SCR ( CE - 90 %) is c a lc ulate d a s f oll ow s: I ncre mental re duction from SCR = 3086.3 x 0.9 - 1638.9 = 1138.8 tons Total reduc tion = 2777.7 tons

Fi gu re I I- 4. Examp le I ncr emen ta l C alcu lat io n fo r L east C ost M od ul e

So i f S CR c on tr ol i s r e qu ir e d to re a c h to ta rg e t r e du c tio n, the inc re me nta l r e du c tio n ( 11 38 .8 ton s) from SCR is added to c umulative reduc tion and total reduc tion for SCR i s 2777.7 tons and

se le c te d c on tr ol w ill be SCR.

The most stringe nt control applied to a sour ce is the a ctual contr ol for the sourc e. The output

re su lts of L e a st C os t Mo du le g ive ma ximuma pp lic a ble c on tr ols fo r a

so ur c e re qu ir e d to re a c h to specifie d reduc tion targ et on least c ost basis. I n the L east Cost Module databa se g rid, maxi mum controls for the source are highlig hted.PECHAN Ma y 2006

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### 19 

## I n th e le a st c os t mo du le , c os t c a lc ulatio n is do ne in s imi la r w a y a s r e du c tio n. As the c on tr ol g e ts selec ted by

the L east Cost Module, its incremental c ost is added to the cumulative c ost and total

cu m u l at i v e c o s t t o ca l cu l at e t h e c o s t o f c o n t ro l s t o ac h i ev e t h e d es i re d re d u ct i o n s

. An av er age cost per ton is the ratio of total cost and total reduc tion.

I n the above example, cost of Combustion Opti miz ation control mea sure wa s calc ulated using cost information of $50 / ton of pollutant reduc ed. Cost of L NC1, L NC3 and SCR control

me a su re s w a s c a lc ulate d u sin g c os t e qu a tio ns a s d e sc ri be d in Pe c ha n, 20 06 . T he se c os t

e qu a tio ns a nd

inp ut v a ri a

ble s a re lis te d b e low . T a

ble I I -2 pr ov ide s th e inp ut p a ra me te rs us e d in the cost equa tions. These ca n be found f

or ea ch contr ol measure can a lso be found in At-AGlance tables for

the Source Categ ory : Utilit y Boiler - Coal/Tang ential in Pechan’ s 2006 repor t called the AirControlNET Volume I I I : AirControlNET Control Measure Documenta tion Report (see Pechan, 2006)

.

Cos t E qu a tio ns I np uts :

Na me plate Ca

pa c ity : ne tdc in M W Total Capital Cost: TC C in $ per KW Sc a lin g F a c tor

Nu me rator : sf

n in MW Scaling Fa ctor Exponential: sfe Scaling Fa ctor (SF ) = ( sfn / netdc) ^sfe

Ca pit a l Co st:

Ca pit a l Co st ( CC) (F or

ne tdc < Th re sh old

Ca pa c ity in M W) = TCC * n e tdc * 1 00 0 * SF Capital Cost (CC ) (F or netdc > Thre shold Capacity in MW ) = TCC * netdc * 1000

Oper ating & Ma intenance (O& M):

Fixed O&M: omf in $ per KW per y ear Var iable O& M: omv in $ m ills per KW-hr Capac ity Fa ctor: ca

pfac

O& M = (omf * ne tdc * 1000) + ( omv * netdc * 1000 * c apfa c * 8760 / 1000)

Equipment L ife: Equiplife in y ear s interest ra te: I in %

Ca p it a l R e c o v e r

y F a c to r : C RF = [i * ( 1 + i) ^ E q u ip li f e ] / [( ( 1 + i) ^ E q u ip li f

e ) - 1 ]

To tal Co st = (C RF * CC ) + O&MPECHAN Ma y 2006

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### 20 

## Tab le I I- 2 C ost

Eq uat io ns In pu ts f or Each Exam pl e C on tr ol M easu res

P a r a m e t e r LN C1 LN C3 S CR

om f ( $ pe r KW per y ear ) 0. 14 0. 22 0. 66

o m v (m i l l s p e r K W -h r) 0 0 .0 2 0 .6

sf n 300 300 243

sf e 0. 359 0. 359 0. 270
capf ac 0. 85 0. 85 0. 65
Equi pm ent Li f e ( y ear s) 15 15 20

T C C 9. 1 14. 5 100

T hr eshol d Capaci t y 500 500 600



## For Combustion Optimiz ation: Total Annualized Cost = Tons Reduced * Cost per ton = 617.3 tons * $50 / ton = $30,863

Ne tdc of the e xamp le bo ile r = 18 2. 29 8 M W I ntere st Rate = 7%

For SCR: Total Capital Cost = $ 100 /KW Scaling Fa ctor: SF = (243 / 182.298 ) ^0.27 = 1.081

Ca p it a l C o s t ( f

o r n e td c < 6 0 0 M W ) CC = TC C * net dc * 10 00 * S F = 100 * 182.298 * 1000 * 1.081 = $19,700,828

Op e ratin g & Ma int e na

nc e (O & M) Cos t: O& M Cost = (omf * netdc * 1000) + (omv * ne tdc * 1000 * ca pfac * 8760 / 1000) = (0.66 * 182.298 * 1000) + (0.6 * 182.298 * 1000 * 0.65 * 8760 / 1000) = $ 743,119

Ca pit a l Re c ov e ry

F a c tor : CRF = [i * (1 + i)^Equiplife] / [ ((1 + i)^Equiplife) - 1] = [0.07 * (1 + 0.07)^20] / [ ((1 + 0.07)^20) - 1] = 0.094393

To ta l A nnua l Co st: = (C RF * CC ) + O&M = (0.09439 * 19,700,828) + 743,119 = $2,602,738PECHAN Ma y 2006

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### 21 

## Simi larly for L NC1 & L NC3:

L NC1: Scaling Fa ctor: SF = (300 / 182.298 ) ^0.359 = 1.1958 Capital Cost: CC = 9.1 * 182.298 * 1000 * 1.1958 = $1,983,760 O& M Cost: O& M = 0.14 * 182.298 * 1000 + ( 0 * 182.298 * 1000 * 0.85 * 8760 / 1000)

= $25,522 Capital Recover

y Fa ctor: CRF = [0.07 * (1 + 0.07) ^15] / [((1 + 0.07)^15) - 1] = 0.10979 Total Annual Cost: TC = $1,983,760 * 0.10979 + $25,522 = $ 243,319

L NC3: Scaling Fa ctor: SF = (300 / 182.298 ) ^0.359 = 1.1958 Capital Cost: CC = 14.5 * 182.298 * 1000 * 1.1958 = $3,160,883 O& M Cost: O& M = 0.22 * 182.298 * 1000 + ( 0.02 * 182.298 * 1000 * 0.85 * 8760 / 1000)

= $67,253 Capital Recover

y Fa ctor: CRF = [0.07 * (1 + 0.07) ^15] / [((1 + 0.07)^15) - 1] = 0.10979 Total Annual Cost: TC = $3,160,883 * 0.10979 + $67,253 = $ 414,307

The c ontrol measure data f ile in AirControlNET includes not only the control e fficie ncy

and calc ulated emission reduc tions as applied for a particula r sourc e, but also estimates the a nnual and ca pital costs for application of the control mea sure to that spec ific sourc e.

Ai rC on tr olN ET re lie s o n th e c on tr ol e ff ic ie nc y , th ro ug hp ut, fu e l us e , a nd e mis sio n f

a c tor da ta provided in the EPA NEI format to per form cost-r elated a naly sis. As indicated in Table I I I -1, AirControlNET cur

rently contains informa

tion on severa l hundred diff ere nt control

measure /source c ombinations. The control data is acc essed a s descr ibed in Appendix A of the AirControlNET Doc umentation Report (Pec han, 2006).

Tot al C ont r oll abl e Tons :

I n L east Cost Module, total controllable tons ar e def ined as the sum of e missions from sourc es (i.e., plant/point/seg ment) that have been c ontrolled within AirControlNET and sele cted f or the specifie d query

criter ia.

For 1999 emissions inventory , nationwide total controllable tons for ea ch pollutant by sector a re listed in Table I I -3.

Table II -3. 199 9 Nationw ide Emis sions by Pollutant and Sector

A r e a O nr oa d Po i nt

Po l l ut a nt U nco ntr ol l ed

Em i s s i ons C on t r ol l ed

Em i s s i ons U nco ntr ol l ed

Em i s s i ons C on t r ol l ed

Em i s s i ons U nco ntr ol l ed

Em i s s i ons C on t r ol l ed

Em i s s i ons VO C 10, 812, 750 5, 459, 791 5, 564, 026 5, 564, 026 2, 061, 167 99, 820

x N O 7, 767, 324 4, 425, 712 8, 470, 270 8, 470, 270 9, 037, 572 6, 579, 473 SO 2 2, 226, 341 192, 671 322, 189 322, 189 16, 297, 280 1, 668, 378 PM 5, 869, 957 4, 557, 568 188, 328 188, 328 673, 288 310, 873 N H 3 4, 507, 679 3, 518, 580 265, 533 265, 533 195, 345 0PECHAN Ma y 2006

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### 22 

## C o n s i d e r f o l l o w i n g f

i l t e r i n g c r i t e r i a

a s a n e x a m p l e f

o r L e a s t C o s t M o d

u l e q u e r y:

State: North Carolina ( 37) County : Chatham Co. (37037)

x 

## Pollut ant: NO Cos t pe r t on : Al l Targ et Reductions: 100% Se c tor : Al l Po int so ur c e s ( i.e
., EG Us a nd

NE GU s) Cost Year: 1999 I nventory y ear : 1999

F o l l o w i n g c o n t r o l s u m m a r y r e s u l t s a r e o b t a i n e d

f o r t h e q u e r y.

To ta l Co ntr oll a

ble To ns = 5, 42 0 to ns Tons Reduce d = 4,870 tons

Whe n Pe rc e nta g e Re du c tio n ta rg e t is de fi ne d to sa

y 50 pe rc e nt, ta rg e t r e du c tio n is c a lc ulate d to 50 perc ent of total ava ilable re ductions (i.e., 4,870 tons). So reduc tion targ et in absolute tons would be 2,436 tons. Due to the discr ete na ture of c ontrol reduc tions, tons reduced w ould be equal to or g rea ter than 2,436 tons. Ac tual reduc tions achieve d for 50 pe rce nt targ et re duction

a re 2, 84 7 to ns

. The most stringe nt control applied to a sour ce is the a ctual contr ol for the sourc e. The output

re su lts of L e a st C os t Mo du le g ive ma ximuma pp lic a ble c on tr ols fo r a

so ur c e re qu ir e d to re a c h to specifie d reduc tion targ et on least c ost basis. Most st ring ent controls for the source s selecte d by least cost quer

y are highlig hted in the databa se g rid. Only maxi mum control applied to the

source (i.e., plant/point/seg ment) is exported to the output file.PECHAN Ma y 2006

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### 23 

# C H A P T E R II I Ai r Co n t r o l NET CONTROL M EAS URE CONTENT S UM M ARI ES

Sin c e 19 97 , in fo rm a tio n f or e a c h c on tr ol m e a su re ha s b e e n c oll e c te d a nd re po rt e d to EPA throug h separ ate r eports. I mportant aspec ts of eac h control mea sure, suc h as applica tion, fu nc tio na lit y , c os t a nd

c on tr ol e ff

ic ie nc ie s w e re re po rt e d a t th e tim e of a na ly sis . I n a dd iti on

to the var ious reports, deta iled control mea sure infor mation is provided in a 2006 re port ca lled the AirControlNET Volume I I I : AirControlNET Control Measure Documenta tion Report (Pecha n, 2006).

A l ist of the c on tr ol m e a su re s, by

ma jor po llu ta nt a

nd so ur c e c a te g or

y , c ur re ntl y in AirControlNET is provided in Table I I I -1. F urther de tails of the control mea sures a re pr ovided in A pp e nd ix B , in c lud ingoth e r a ff e c te d p oll uta

nts , c on tr ol e ff

ic ie nc y a nd c os t e ff e c tiv e ne ss.PECHAN Ma y 2006

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### 24 

## Tab le I II- 1. Co nt ro l M easu res Cu rre nt ly in A irC on tr ol NE T

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t AR EA VO C O T C Co nsumer P rod ucts Ru le AR EA VO C O T C M ER R ule AR EA VO C O T C Sol v ent Cle aning R ule Adh esiv es - In dustr ial VO C SC AQ M D Ru le 1 168 Ag ri c ul tu ra l Bu rn i ng NOX Se as on al Ba n ( Ozo ne Se as on Dai l y) Agr icult ura l B urn ing PM Bal e S tack/ Pr opane B urn ing O C, E C, P M 25 Agr icult ura l T illing PM Soi l C onser v atio n P lans O C, E C, P M 25, PM 10 Airc raft Surfa ce Coa ting VOC M ACT Ammon ia - N atur al G as - Fir ed R efor mers - S mall Sou rces NOX LNB

Ammon ia - N atur al G as - Fir ed R efor mers - S mall Sou rces NOX LNB + FGR

Ammon ia - N atur al G as - Fir ed R efor mers - S mall Sou rces N O X O T + WI

Ammon ia - N atur al G as - Fir ed R efor mers - S mall Sou rces NOX SCR NH3

Ammon ia - N atur al G as - Fir ed R efor mers - S mall Sou rces NOX SNCR NH3

Ammon ia P rod ucts; Fe edsto ck D esulf uriz atio n - S mall Sou rces NOX LNB + FGR

Ar chite ctur al C oati ngs VO C AI M C oati ng F eder al R ule Ar chite ctur al C oati ngs VO C O T C AI M C oati ng R ule Ar chite ctur al C oati ngs VO C Sou th Co ast Pha se I Ar chite ctur al C oati ngs VO C Sou th Co ast Pha se I I Ar chite ctur al C oati ngs VO C Sou th Co ast Pha se I II Asph alt M anuf

actur e PM CE M U pgr ade and Incr eased M onit orin g F req uency of Asph alt M anuf

actur e PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 Asph alt M anuf

actur e PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 Asph alt M anuf

actur e PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Asph alt M anu fac ture PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Asph alt M anuf

actur e PM Pap er/ No nw ov en F ilte rs - C art ridg e C ollect or T y pe O C, E C, P M 25 Asph alti c C onc; Ro tar

y D ry er; C onvP lant - Smal l Sou rces NOX LNB

Aut omobil e R efin ishing VO C CA RB B AR CT Limit s

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 25 Autom obi le Refi nis hin g VOC FIP Rule (VOC conte nt & T E) Aut omobil e R efin ishing VO C Fede ral Ru le Bake ry P rod ucts VO C Incin era tion >1 00,0 00 l bs br ead Bee f C att le F eedlo ts PM W ater ing O C, E C, P M 25 Bit uminou s/S ubbit uminou s C oal (In dustr ial Boi lers) SO 2 ID IS Bitum ino us/ Subb itum ino us Coa l (Indu stri al Boi lers ) SO2 SDA Bitum ino us/ Subb itum ino us Coa l (Indu stri al Boi lers ) SO2 W et FGD Bitum ino us/ Subb itum ino us Coa l SO2 FGD By-Produc t Coke M anu fac turin g; Oven Underfiri ng NOX SNCR NH3 By -P rod uct Co ke M anuf actur ing SO 2 Vacu um C arb onat e P lus S ulfu r R ecov ery P lant Ca ttl e F eedlo ts NH 3 Ch emical Add itiv es t o W aste Ce ment Kiln s NO X Bio solid Inje ction Ceme nt M anu fac turin g - Dry NOX LNB Ce ment M anuf

actur ing - D ry NO X M id-K iln Fir ing Ceme nt M anu fac turin g - Dry NOX SCR NH3 Ceme nt M anu fac turin g - Dry NOX SNCR - NH3 Based NH3 Ceme nt M anu fac turin g - Dry NOX SNCR - Urea Bas ed NH3 Ceme nt M anu fac turin g - W et - Large Source s NOX SCR NH3 Ceme nt M anu fac turin g - W et - Smal l Sourc es NOX SCR NH3 Ceme nt M anu fac turin g - W et NOX LNB Ce ment M anuf

actur ing - W et NO X M id-K iln Fir ing Ceram ic Clay M anu fac turin g; Drying - Smal l Sourc es NOX LNB Ch emical M anuf

actur e PM CE M U pgr ade and Incr eased M onit orin g F req uency of Chem ic al M anu fac ture PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Ch emical M anuf

actur e PM W et ES P - W ire Pla te T y pe O C, E C, P M 25 Co al C leani ng- T hrml Dr y er; Flu idiz ed B ed - S mall Sou rces NOX LNB

Co al-f ired P lant s w ith Pr oduct ion Ca pacit ies>1 00M W NO X Co mbusti on O ptimiz atio n Co mbusti on T urb ines - Je t F uel - S mall S our ces NO X SC R + W ater In jecti on Co mbusti on T urb ines - Je t F uel - S mall S our ces NO X W ater In jecti on Comb ust ion T urbi nes - Natural Gas - Larg e Sourc es NOX LNB Comb ust ion T urbi nes - Natural Gas - Smal l Sourc es NOX LNB Comb ust ion T urbi nes - Natural Gas - Smal l Sourc es NOX SCR + LNB NH3

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 26 Comb ust ion T urbi nes - Natural Gas - Smal l Sourc es NOX SCR + S team Injec tion NH3 Co mbusti on T urb ines - N atur al G as - S mall S our ces NO X SC R + W ater In jecti on Co mbusti on T urb ines - N atur al G as - S mall S our ces NO X St eam I nject ion Co mbusti on T urb ines - N atur al G as - S mall S our ces NO X W ater In jecti on Co mbusti on T urb ines - O il - S mall S our ces NO X SC R + W ater In jecti on Co mbusti on T urb ines - O il - S mall S our ces NO X W ater In jecti on Co mmercia l A dhesiv es VO C CA RB Lon g-T erm Limits Co mmercia l A dhesiv es VO C CA RB M id-T erm Limits Co mmercia l A dhesiv es VO C Fede ral Co nsumer S olv ents Ru le Co mmercia l I nstit utio nal Boi lers - C oal PM CE M U pgr ade and Incr eased M onit orin g F req uency of Co mmercia l I nstit utio nal Boi lers - C oal PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 Co mmercia l I nstit utio nal Boi lers - C oal PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 Co mmercia l I nstit utio nal Boi lers - C oal PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Comm erci al Ins titu tion al Boi lers - Coal PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Comm erci al Ins titu tion al Boi lers - Natural Gas PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Co mmercia l I nstit utio nal Boi lers - O il PM CE M U pgr ade and Incr eased M onit orin g F req uency of Co mmercia l I nstit utio nal Boi lers - O il PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 Comm erci al Ins titu tion al Boi lers - O il PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Co mmercia l I nstit utio nal Boi lers - S olid W aste PM CE M U pgr ade and Incr eased M onit orin g F req uency of Comm erci al Ins titu tion al Boi lers - Solid W ast e PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Co mmercia l I nstit utio nal Boi lers - W ood/ Bar k PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 Co mmercia l I nstit utio nal Boi lers - W ood/ Bar k PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 Co mmercia l I nstit utio nal Boi lers - W ood/ Bar k PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Co mmercia l I nstit utio nal Boi lers - W ood PM CE M U pgr ade and Incr eased M onit orin g F req uency of Comm erci al Ins titu tion al Boi lers - W ood PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Co mmercia l/I nstit utio nal - N atur al G as NO X W ater H eate r + LN B Spa ce H eate rs Co mmercia l/I nstit utio nal - N atur al G as NO X W ater H eate r R eplace ment Comm erci al/I nst itut ion al Inc ine rators NOX SNCR NH3 Co nstr uctio n A ctiv itie s PM Du st C ontr ol P lan O C, E C, P M 25 Co nsumer

S olv ents VO C CA RB Lon g-T erm Limits Co nsumer

S olv ents VO C CA RB M id-T erm Limits Co nsumer

S olv ents VO C Fede ral Co nsumer S olv ents Ru le

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 27 Co nv C oati ng o f P rod ; A cid C leani ng B ath - S mall Sou rces NOX LNB

Conveyorized Charb roil ers PM Catal ytic Ox idi zer VOC, O C, EC Conveyorized Charb roil ers PM ESP for Comm erci al Cook ing OC, EC Cu tback Asph alt VO C Sw itch to Emul sifie d A sphalt s Dies el Lo com otives NOX SCR Ele ctri c G ener atio n - C oke PM CE M U pgr ade and Incr eased M onit orin g F req uency of Elec tric Generati on - Coke PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Ele ctri c G ener atio n - B agasse PM CE M U pgr ade and Incr eased M onit orin g F req uency of Elec tric Generati on - Bagas se PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Ele ctri c G ener atio n - C oal PM CE M U pgr ade and Incr eased M onit orin g F req uency of Elec tric Generati on - Coal PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Ele ctri c G ener atio n - C oal PM Indi go A gglome rat or O C, E C, P M 10 Ele ctri c G ener atio n - C oal PM O ne p late E SP upg rad e O C, E C, P M 10 Ele ctri c G ener atio n - C oal PM T w o pl ate ES P upgr ade O C, E C, P M 10 Ele ctri c G ener atio n - LP G PM CE M U pgr ade and Incr eased M onit orin g F req uency of Elec tric Generati on - LPG PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Ele ctri c G ener atio n - Liq uid W aste PM CE M U pgr ade and Incr eased M onit orin g F req uency of Elec tric Generati on - Liq uid W ast e PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Ele ctri c G ener atio n - N atur al G as PM CE M U pgr ade and Incr eased M onit orin g F req uency of Elec tric Generati on - Natura l Gas PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Ele ctri c G ener atio n - O il PM CE M U pgr ade and Incr eased M onit orin g F req uency of Elec tric Generati on - Oil PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Ele ctri c G ener atio n - S olid W aste PM CE M U pgr ade and Incr eased M onit orin g F req uency of Elec tric Generati on - Soli d W ast e PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Ele ctri c G ener atio n - W ood PM CE M U pgr ade and Incr eased M onit orin g F req uency of Elec tric Generati on - W ood PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Elec tric al/El ect roni c Coati ng VOC M ACT Ele ctri cal/E lectr onic Co atin g VO C SC AQ M D Ru le Fabri c Print ing , Coatin g and Dy ein g VOC Perma nen t T otal Enclo sure (PT E) Fabr icate d M etal P rod ucts - A bra siv e B lasti ng PM Pap er/ No nw ov en F ilte rs - C art ridg e C ollect or T y pe O C, E C, P M 25 Fabr icate d M etal P rod ucts - W eldin g PM Pap er/ No nw ov en F ilte rs - C art ridg e C ollect or T y pe O C, E C, P M 25 Fer rou s M etal s P roce ssing - C oke PM CE M U pgr ade and Incr eased M onit orin g F req uency of

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 28 Fer rou s M etal s P roce ssing - C oke PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 Fer rou s M etal s P roce ssing - C oke PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Ferrou s M etal s Proc ess ing - Coke PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Fer rou s M etal s P roce ssing - C oke PM Ven tur i S crub ber O C, E C, P M 25 Fer rou s M etal s P roce ssing - F err oallo y P rod uctio n PM CE M U pgr ade and Incr eased M onit orin g F req uency of Fer rou s M etal s P roce ssing - F err oallo y P rod uctio n PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 Fer rou s M etal s P roce ssing - F err oallo y P rod uctio n PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 Fer rou s M etal s P roce ssing - F err oallo y P rod uctio n PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Ferrou s M etal s Proc ess ing - Ferroall oy Produc tion PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Fer rou s M etal s P roce ssing - G ray Ir on F oundr ies PM CE M U pgr ade and Incr eased M onit orin g F req uency of Fer rou s M etal s P roce ssing - G ray Ir on F oundr ies PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 Fer rou s M etal s P roce ssing - G ray Ir on F oundr ies PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Fer rou s M etal s P roce ssing - G ray Ir on F oundr ies PM Impin gement -P late S crub ber O C, E C, P M 25 Ferrou s M etal s Proc ess ing - G ray Iron Foun drie s PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Fer rou s M etal s P roce ssing - G ray Ir on F oundr ies PM Ven tur i S crub ber O C, E C, P M 25 Fer rou s M etal s P roce ssing - I ron & S teel P rod uctio n PM CE M U pgr ade and Incr eased M onit orin g F req uency of Ferrou s M etal s Proc ess ing - Iron & Steel Produ cti on PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Fer rou s M etal s P roce ssing - I ron and S teel P rod uctio n PM Ca ptur e H ood Ven ted to a B aghou se O C, E C, P M 10 Fer rou s M etal s P roce ssing - I ron and S teel P rod uctio n PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 Fer rou s M etal s P roce ssing - I ron and S teel P rod uctio n PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 Fer rou s M etal s P roce ssing - I ron and S teel P rod uctio n PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 Fer rou s M etal s P roce ssing - I ron and S teel P rod uctio n PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Fer rou s M etal s P roce ssing - I ron and S teel P rod uctio n PM Seco ndar y C aptu re and Co ntr ol S y stem O C, E C, P M 10 Fer rou s M etal s P roce ssing - I ron and S teel P rod uctio n PM Sin ter C ooler O C, E C, P M 10 Fer rou s M etal s P roce ssing - I ron and S teel P rod uctio n PM Ven tur i S crub ber O C, E C, P M 25 Fer rou s M etal s P roce ssing - I ron and S teel P rod uctio n PM W et ES P - W ire Pla te T y pe O C, E C, P M 25 Fer rou s M etal s P roce ssing - O ther PM CE M U pgr ade and Incr eased M onit orin g F req uency of Ferrou s M etal s Proc ess ing - O ther PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Fer rou s M etal s P roce ssing - S teel Fo undr ies PM CE M U pgr ade and Incr eased M onit orin g F req uency of Fer rou s M etal s P roce ssing - S teel Fo undr ies PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 Fer rou s M etal s P roce ssing - S teel Fo undr ies PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 Fer rou s M etal s P roce ssing - S teel Fo undr ies PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Ferrou s M etal s Proc ess ing - Steel Foun drie s PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 29 Fer rou s M etal s P roce ssing - S teel Fo undr ies PM Ven tur i S crub ber O C, E C, P M 25 Fi be rg l as s M an uf ac tu re ; Texti l e- Type ; Re c up er at i ve Fur naces NOX LNB

Flexograph ic Printin g VOC Perma nen t T otal Enclo sure (PT E) Flui d Catal ytic Crack ing Units - Sma ll Sou rces NOX LNB + FGR Fuel Fired Equ ipm ent - Proc ess Heaters NOX LNB + FGR Fuel Fired Equ ipm ent; Furnac es; Natural Gas NOX LNB G lass M anuf

actur ing - C onta iner s NO X Cu llet P reh eat G lass M anuf

actur ing - C onta iner s NO X Ele ctri c B oost Glass M anu fac turin g - Contai ners NOX LNB G lass M anuf

actur ing - C onta iner s NO X O X Y -Fi ring Glass M anu fac turin g - Contai ners NOX SCR NH3 Glass M anu fac turin g - Contai ners NOX SNCR NH3 Glass M anu fac turin g - Flat - Larg e Sourc es NOX SCR NH3 Glass M anu fac turin g - Flat - Larg e Sourc es NOX SNCR NH3 Glass M anu fac turin g - Flat - Smal l Sourc es NOX SCR NH3 Glass M anu fac turin g - Flat - Smal l Sourc es NOX SNCR NH3 G lass M anuf

actur ing - F lat NO X Ele ctri c B oost Glass M anu fac turin g - Flat NOX LNB G lass M anuf

actur ing - F lat NO X O X Y -Fi ring G lass M anuf

actur ing - P resse d NO X Cu llet P reh eat G lass M anuf

actur ing - P resse d NO X Ele ctri c B oost Glass M anu fac turin g - Press ed NOX LNB G lass M anuf

actur ing - P resse d NO X O X Y -Fi ring Glass M anu fac turin g - Press ed NOX SCR NH3 Glass M anu fac turin g - Press ed NOX SNCR NH3 G rain M illing PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 G rain M illing PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 G rain M illing PM Pap er/ No nw ov en F ilte rs - C art ridg e C ollect or T y pe O C, E C, P M 25 G rap hic A rts VO C Use of Low or N o V O C M ater ials Highway Vehi cl es - Gaso lin e Engi ne NOX Transpo rtati on Cont rol Pac kag e CO, N OX Highway Vehi cl es - Gaso lin e Engi ne PM HDDV R etrof it Progra m CO, N OX Highway Vehi cl es - Gaso lin e Engi ne VOC Fede ral Refo rmu late d Gasol ine CO, N OX

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 30 Hig hw ay V ehicle s - He av y D uty D iesel Eng ines NO X CO , S O 2, VO C, P M 25, PM 10 Hig hw ay V ehicle s - He av y D uty D iesel Eng ines PM CO , S O 2, VO C, P M 25 Hig hw ay V ehicle s - He av y D uty and D iesel- Fuel ed Veh icles NO X CO , S O 2, VO C, P M 25, PM 10

Highway Vehi cl es - Lig ht Duty Gasoli ne Engi nes NOX Enha nce d I/M CO, VO C Hig hw ay V ehicle s - Light

D uty G asolin e E ngine s VO C Basi c I& M CO , N H3 , S O 2, NO X , P M 25, PM 10 Hig hw ay V ehicle s - Light

D uty and G asolin e-F ueled Veh icles NO X CO , S O 2, VO C, P M 25, PM 10

Ho g O per atio ns NH 3 Ch emical Add itiv es t o W aste IC Engin es - Gas - Smal l Sourc es NOX SCR IC E ngine s - G as, Die sel, LPG - Smal l S our ces NO X IR IC Engin es - Gas, Die sel , LPG - Smal l Sourc es NOX SCR IC E ngine s - G as NO X L-E (L ow S peed) IC I B oiler s - Co al/C y clone - L arg e S our ces NO X Co al R ebur n IC I B oiler s - Co al/C y clone - S mall S our ces NO X Co al R ebur n ICI Boile rs - Coal/Cycl one - Small Sou rces NOX NGR ICI Boile rs - Coal/Cycl one - Small Sou rces NOX SCR ICI Boile rs - Coal/Cycl one - Small Sou rces NOX SNCR NH3 ICI Boile rs - Coal/F BC - Larg e Sourc es NOX SNCR - Urea Bas ed NH3 ICI Boile rs - Coal/F BC - Smal l Sourc es NOX SNCR - Urea Bas ed NH3 ICI Boile rs - Coal/St oke r - Smal l Sourc es NOX SNCR NH3 ICI Boile rs - Coal/W all - Large Sourc es NOX LNB ICI Boile rs - Coal/W all - Large Sourc es NOX SCR NH3 ICI Boile rs - Coal/W all - Large Sourc es NOX SNCR NH3 ICI Boile rs - Coal/W all - Small Sou rces NOX LNB ICI Boile rs - Coal/W all - Small Sou rces NOX SCR ICI Boile rs - Coal/W all - Small Sou rces NOX SNCR NH3 ICI Boile rs - Coke - Sma ll Sou rces NOX LNB ICI Boile rs - Coke - Sma ll Sou rces NOX SCR NH3 ICI Boile rs - Coke - Sma ll Sou rces NOX SNCR NH3 ICI Boile rs - Disti lla te Oil - Large Source s NOX SNCR NH3 ICI Boile rs - Disti lla te Oil - Smal l Sourc es NOX LNB ICI Boile rs - Disti lla te Oil - Smal l Sourc es NOX LNB + FGR

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 31 ICI Boile rs - Disti lla te Oil - Smal l Sourc es NOX SCR NH3 ICI Boile rs - Disti lla te Oil - Smal l Sourc es NOX SNCR NH3 ICI Boile rs - LPG - Smal l Sourc es NOX LNB ICI Boile rs - LPG - Smal l Sourc es NOX LNB + FGR ICI Boile rs - LPG - Smal l Sourc es NOX SCR NH3 ICI Boile rs - LPG - Smal l Sourc es NOX SNCR NH3 ICI Boile rs - Liqu id W ast e - Small Source s NOX LNB ICI Boile rs - Liqu id W ast e - Small Source s NOX LNB + FGR ICI Boile rs - Liqu id W ast e - Small Source s NOX SNCR NH3 ICI Boile rs - Liqu id W ast e NOX SCR NH3 ICI Boile rs - M SW /Stok er - Small Source s NOX SNCR - Urea NH3 ICI Boile rs - Natural Gas - Large Sou rces NOX SNCR NH3 ICI Boile rs - Natural Gas - Small Source s NOX LNB ICI Boile rs - Natural Gas - Small Source s NOX LNB + FGR I C I B o i l e r s - N a t u r a l G a s - S m a l l S o u r c e s N O X O T + WI ICI Boile rs - Natural Gas - Small Source s NOX SCR NH3 ICI Boile rs - Natural Gas - Small Source s NOX SNCR NH3 ICI Boile rs - Proce ss Gas - Small Source s NOX LNB ICI Boile rs - Proce ss Gas - Small Source s NOX LNB + FGR I C I B o i l e r s - P r o c e s s G a s - S m a l l S o u r c e s N O X O T + WI ICI Boile rs - Proce ss Gas - Small Source s NOX SCR NH3 ICI Boile rs - Resi dua l Oil - Large Source s NOX SNCR NH3 ICI Boile rs - Resi dua l Oil - Small Source s NOX LNB ICI Boile rs - Resi dua l Oil - Small Source s NOX LNB + FGR ICI Boile rs - Resi dua l Oil - Small Source s NOX SCR NH3 ICI Boile rs - Resi dua l Oil - Small Source s NOX SNCR NH3 ICI Boile rs - W ood /Bark /Stok er - Large Sourc es NOX SNCR - Urea Bas ed NH3 ICI Boile rs - W ood /Bark /Stok er - Small Source s NOX SNCR - Urea NH3 In-Proc ; Proce ss Gas; Coke Ov en/Bl ast Ov ens NOX LNB + FGR In- Pr ocess F uel Use - Bit uminou s C oal - S mall Sou rces NOX SNCR NH3

In-Proc ess Fuel Use ; Natural Gas - Small Source s NOX LNB In-Proc ess Fuel Use ; Resid ual Oil - Small Sou rces NOX LNB

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 32 In-Proc ess ; Bitum ino us Coa l; Ceme nt Kiln s NOX SNCR - Urea Bas ed NH3 In-Proc ess ; Bitum ino us Coa l; Lim e Kiln s NOX SNCR - Urea Bas ed NH3 In-Proc ess ; Proce ss Gas; Coke Ov en Gas NOX LNB In-pro ces s Fue l Use - Bitum ino us Coa l SO2 FGD Indu stri al B oiler s - Co al PM CE M U pgr ade and Incr eased M onit orin g F req uency of Indu stri al B oiler s - Co al PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 Indu stri al B oiler s - Co al PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 Indu stri al B oiler s - Co al PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Indu stri al Boi lers - Coal PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Indu stri al B oiler s - Co al PM Ven tur i S crub ber O C, E C, P M 25 Indu stri al B oiler s - Co ke PM CE M U pgr ade and Incr eased M onit orin g F req uency of Indu stri al Boi lers - Coke PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Indu stri al B oiler s - Liqui d W aste PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 Indu stri al B oiler s - O il PM CE M U pgr ade and Incr eased M onit orin g F req uency of Indu stri al B oiler s - O il PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 Indu stri al Boi lers - O il PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Indu stri al B oiler s - O il PM Ven tur i S crub ber O C, E C, P M 25 Indu stri al B oiler s - Sol id W aste PM CE M U pgr ade and Incr eased M onit orin g F req uency of Indu stri al Boi lers - Solid W ast e PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Indu stri al B oiler s - W ood PM CE M U pgr ade and Incr eased M onit orin g F req uency of Indu stri al B oiler s - W ood PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 Indu stri al B oiler s - W ood PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 Indu stri al B oiler s - W ood PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Indu stri al Boi lers - W ood PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC Indu stri al B oiler s - W ood PM Ven tur i S crub ber O C, E C, P M 25 Indu stri al Coal Combu sti on NOX RACT to 25 tpy (LNB) Indu stri al Coal Combu sti on NOX RACT to 50 tpy (LNB) Indu stri al Inc ine rators NOX SNCR NH3 Indu stri al M aint enance C oati ng VO C AI M C oati ng F eder al R ule Indu stri al M aint enance C oati ng VO C Sou th Co ast Pha se I Indu stri al M aint enance C oati ng VO C Sou th Co ast Pha se I I Indu stri al M aint enance C oati ng VO C Sou th Co ast Pha se I II Indu stri al Natu ral Gas Com bus tion NOX RACT to 25 tpy (LNB)

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 33 Indu stri al Natu ral Gas Com bus tion NOX RACT to 50 tpy (LNB) Indu stri al Oil Com bus tion NOX RACT to 25 tpy (LNB) Indu stri al Oil Com bus tion NOX RACT to 50 tpy (LNB) Inorg ani c Chem ic al M anu fac ture Opera tion s SO2 FGD Int ern al C ombust ion Eng ines - G as - Lar ge S our ces NO X AF + IR Int ern al C ombust ion Eng ines - G as - Lar ge S our ces NO X AF R AT IO Int ern al C ombust ion Eng ines - G as - Lar ge S our ces NO X IR Int ern al C ombust ion Eng ines - G as - S mall S our ces NO X AF + IR Int ern al C ombust ion Eng ines - G as - S mall S our ces NO X AF R AT IO Int ern al C ombust ion Eng ines - G as - S mall S our ces NO X IR Int ern al C ombust ion Eng ines - G as NO X L-E (M edium Spe ed) Int ern al C ombust ion Eng ines - O il - S mall S our ces NO X IR Inte rnal Combu sti on Engi nes - O il - Smal l Sourc es NOX SCR NH3 Iron & Steel M ill s - Annea lin g - Small Source s NOX LNB + SCR NH3 Iron & Steel M ill s - Annea lin g - Small Source s NOX SCR NH3 Iron & Steel M ill s - Annea lin g NOX LNB NH3 Iron & Steel M ill s - Annea lin g NOX LNB + FGR Iron & Steel M ill s - Annea lin g NOX LNB + SNCR NH3 Iron & Steel M ill s - Annea lin g NOX SNCR NH3 Iron & Steel M ill s - Galvanizing NOX LNB Iron & Steel M ill s - Galvanizing NOX LNB + FGR Iron & Steel M ill s - Rehea ting NOX LEA Iron & Steel M ill s - Rehea ting NOX LNB Iron & Steel M ill s - Rehea ting NOX LNB + FGR Iron Prod uct ion ; Blas t Furna ces ; Blas t Heatin g Stoves NOX LNB + FGR Ligni te (In dustr ial Boi ler) SO 2 ID IS Lig nite (Indus trial Boile r) SO2 SDA Lig nite (Indus trial Boile r) SO2 W et FGD Lig nite (Indus trial Boile rs) SO2 FGD Lim e Kiln s NOX LNB Lime Kiln s NO X M id-K iln Fir ing M achine ry , E quipme nt, and R ailr oad Co atin g VO C SC AQ M D Limits M arin e S urf

ace C oati ng ( Shi pbuil ding) VO C Add -O n C ontr ols

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 34 M arin e Surfac e Coati ng (Shi pbu ild ing ) VOC M ACT M edi cal W ast e Inc ine rators NOX SNCR NH3 M etal Can Surfac e Coati ng Operat ion s VOC Perma nen t T otal Enclo sure (PT E) M etal C oil & Ca n C oati ng VO C BA AQ M D Ru le 1 1 A mended M etal C oil & Ca n C oati ng VO C Incin era tion M etal Coil & Can Coatin g VOC M ACT M etal Furnit ure Surfa ce Coa ting Operatio ns VOC Perma nen t T otal Enclo sure (PT E) M etal Furnit ure, App lia nce s, Parts VOC M ACT M etal Fu rnit ure , A pplia nces, Par ts VO C SC AQ M D Limits M iner al P rod ucts - C ement M anuf actur e PM CE M U pgr ade and Incr eased M onit orin g F req uency of M iner al P rod ucts - C ement M anuf actur e PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 M iner al P rod ucts - C ement M anuf actur e PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 M iner al P rod ucts - C ement M anuf actur e PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 M iner al P rod ucts - C ement M anuf actur e PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 M ine ral Prod uct s - Cemen t M anu fac ture PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC M iner al P rod ucts - C ement M anuf actur e PM Pap er/ No nw ov en F ilte rs - C art ridg e C ollect or T y pe O C, E C, P M 25 M iner al P rod ucts - C oal Cle aning PM CE M U pgr ade and Incr eased M onit orin g F req uency of M iner al P rod ucts - C oal Cle aning PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 M iner al P rod ucts - C oal Cle aning PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 M iner al P rod ucts - C oal Cle aning PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 M ine ral Prod uct s - Coal Clea nin g PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC M iner al P rod ucts - C oal Cle aning PM Pap er/ No nw ov en F ilte rs - C art ridg e C ollect or T y pe O C, E C, P M 25 M iner al P rod ucts - C oal Cle aning PM Ven tur i S crub ber O C, E C, P M 25 M iner al P rod ucts - O ther PM CE M U pgr ade and Incr eased M onit orin g F req uency of M iner al P rod ucts - O ther PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 M iner al P rod ucts - O ther PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 M iner al P rod ucts - O ther PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 M iner al P rod ucts - O ther PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 M ine ral Prod uct s - Other PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC M iner al P rod ucts - O ther PM Pap er/ No nw ov en F ilte rs - C art ridg e C ollect or T y pe O C, E C, P M 25 M iner al P rod ucts - O ther PM W et ES P - W ire Pla te T y pe O C, E C, P M 25 M iner al P rod ucts - S tone Q uar ry ing & Pr ocessing PM CE M U pgr ade and Incr eased M onit orin g F req uency of M ine ral Prod uct s - Stone Quarrying & Proces si ng PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 35 M iner al P rod ucts - S tone Q uar ry ing and Pr ocessing PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 M iner al P rod ucts - S tone Q uar ry ing and Pr ocessing PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 M iner al P rod ucts - S tone Q uar ry ing and Pr ocessing PM Fabr ic Fi lter (P ulse Jet T y pe) O C, E C, P M 25 M iner al P rod ucts - S tone Q uar ry ing and Pr ocessing PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 M iner al P rod ucts - S tone Q uar ry ing and Pr ocessing PM Pap er/ No nw ov en F ilte rs - C art ridg e C ollect or T y pe O C, E C, P M 25 M iner al P rod ucts - S tone Q uar ry ing and Pr ocessing PM Ven tur i S crub ber O C, E C, P M 25 M iner al P rod ucts - S tone Q uar ry ing and Pr ocessing PM W et ES P - W ire Pla te T y pe O C, E C, P M 25 M ine ral Prod uct s Ind ust ry SO2 FGD M is cel lan eou s M etal Produc ts Coat ing s VOC M ACT M otor V ehicle C oati ng VO C Incin era tion M otor Veh ic le Coat ing VOC M ACT M uni ci pal Solid W ast e Lan dfil l VOC Gas Coll ect ion (SCAQ M D/BAAQM D) M uni ci pal W ast e Comb ust ors NOX SNCR NH3 M unicip al W aste Incin era tion PM Dr y E SP -W ire Pla te T y pe EC , P M 25 Na tur al G as P rod uctio n; Co mpre ssors - S mall Sou rces NOX SCR NH3

Nit ric Acid M anuf

actur ing - S mall S our ces NO X Ex tend ed A bsor ptio n Nitric Acid M anu fac turin g - Small Source s NOX NSCR NH3 Nitric Acid M anu fac turin g - Small Source s NOX SCR NH3 No n-F err ous M etal s P roce ssing - A luminu m PM CE M U pgr ade and Incr eased M onit orin g F req uency of No n-F err ous M etal s P roce ssing - A luminu m PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 No n-F err ous M etal s P roce ssing - A luminu m PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 No n-F err ous M etal s P roce ssing - A luminu m PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Non-Fe rrous M etal s Proc ess ing - Alumin um PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC No n-F err ous M etal s P roce ssing - A luminu m PM W et ES P - W ire Pla te T y pe O C, E C, P M 25 No n-F err ous M etal s P roce ssing - C opper PM CE M U pgr ade and Incr eased M onit orin g F req uency of No n-F err ous M etal s P roce ssing - C opper PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 No n-F err ous M etal s P roce ssing - C opper PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 No n-F err ous M etal s P roce ssing - C opper PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Non-Fe rrous M etal s Proc ess ing - Copper PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC No n-F err ous M etal s P roce ssing - C opper PM W et ES P - W ire Pla te T y pe O C, E C, P M 25 No n-F err ous M etal s P roce ssing - L ead PM CE M U pgr ade and Incr eased M onit orin g F req uency of No n-F err ous M etal s P roce ssing - L ead PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 36 No n-F err ous M etal s P roce ssing - L ead PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 No n-F err ous M etal s P roce ssing - L ead PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Non-Fe rrous M etal s Proc ess ing - Lead PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC No n-F err ous M etal s P roce ssing - L ead PM W et ES P - W ire Pla te T y pe O C, E C, P M 25 No n-F err ous M etal s P roce ssing - O ther PM CE M U pgr ade and Incr eased M onit orin g F req uency of No n-F err ous M etal s P roce ssing - O ther PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 No n-F err ous M etal s P roce ssing - O ther PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 No n-F err ous M etal s P roce ssing - O ther PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Non-Fe rrous M etal s Proc ess ing - O ther PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC No n-F err ous M etal s P roce ssing - O ther PM W et ES P - W ire Pla te T y pe O C, E C, P M 25 No n-F err ous M etal s P roce ssing - Z inc PM CE M U pgr ade and Incr eased M onit orin g F req uency of No n-F err ous M etal s P roce ssing - Z inc PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 No n-F err ous M etal s P roce ssing - Z inc PM Fabr ic Fi lter (M ech. Sha ker T y pe) O C, E C, P M 25 No n-F err ous M etal s P roce ssing - Z inc PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) O C, E C, P M 25 Non-Fe rrous M etal s Proc ess ing - Zinc PM Inc reas ed M oni torin g Frequ enc y (IM F) of PM Control OC, EC No n-F err ous M etal s P roce ssing - Z inc PM W et ES P - W ire Pla te T y pe O C, E C, P M 25 No nro ad D iesel Eng ines PM He av y D uty R etr ofit P rog ram O C, E C, P M 25 No nro ad G asolin e E ngine s VO C Fede ral Re for mulat ed G asolin e O ff- Hig hw ay

D iesel Veh icles NO X C- I E ngine S tand ard s CO , V O C, P M 25, PM 10 O ff- Hig hw ay

G asolin e V ehicle s NO X Lar ge S -I Eng ine St andar ds CO , V O C, P M 25, PM 10 O ff- Hig hw ay

V ehicle s: All T err ain Veh icles (A T Vs) VO C Re crea tion al G asolin e A T V St andar ds CO , N O X , P M 25, PM 10 O ff- Hig hw ay

V ehicle s: M otor cy cles VO C O ff- Hig hw ay M otor cy cle S tand ard s CO , N O X , P M 25, PM 10 O ff- Hig hw ay

V ehicle s: Sno w mobile s VO C Re crea tion al G asolin e S now mobile S tand ard s CO , N O X , P M 25, PM 10 O il a nd N atur al G as P rod uctio n - Fu giti v e E missions VO C SC AQ M D Pr oposed R ule 1148. 1 O il a nd N atur al G as P rod uctio n VO C Equ ipment and M aint enance Op en Bu rn i ng NOX Ep i s od i c Ba n ( Da i l y Onl y) O pen T op D egr easing VO C Air tigh t D egr easing S y stem Open Top Degreas ing VOC M ACT O pen T op D egr easing VO C SC AQ M D 1122 (V O C conte nt limit) Pap er Sur

face Co atin g VO C Incin era tion Pape r and oth er W eb Coat ing Operatio ns VOC Perma nen t T otal Enclo sure (PT E) Pav ed R oads PM Vacu um S w eepin g O C, E C, P M 25 Pest icide App licat ion VO C Re for mulat ion - F IP R ule

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 37 Petrol eum Indus try SO2 FGD Plas tic s Prod-Sp eci fic ; (ABS) - Small Source s NOX LNB + FGR Por tabl e G asolin e C onta iner s VO C O T C Por tabl e G as C onta iner

R ule Pou ltr y O per atio ns NH 3 Ch emical Add itiv es t o W aste Pr escrib ed B urn ing PM Incr ease Fuel M oistu re O C, E C, P M 25 Pr imary Lea d S melte rs - S inte ring SO 2 Du al A bsor ptio n Prim ary M etal s Ind ust ry SO2 FGD Pr imary Zin c S melte rs - S inte ring SO 2 Du al A bsor ptio n Proce ss Heaters (Oil and Gas Prod uct ion ) SO2 FGD Proce ss Heaters - Distil late Oil - Small Sou rces NOX LNB NH3 Proce ss Heaters - Distil late Oil - Small Sou rces NOX LNB + FGR Proce ss Heaters - Distil late Oil - Small Sou rces NOX LNB + SCR NH3 Proce ss Heaters - Distil late Oil - Small Sou rces NOX LNB + SNCR NH3 Proce ss Heaters - Distil late Oil - Small Sou rces NOX SCR NH3 Proce ss Heaters - Distil late Oil - Small Sou rces NOX SNCR NH3 Proce ss Heaters - Distil late Oil - Small Sou rces NOX ULNB Proce ss Heaters - LPG - Small Source s NOX LNB NH3 Proce ss Heaters - LPG - Small Source s NOX LNB + FGR Proce ss Heaters - LPG - Small Source s NOX LNB + SCR NH3 Proce ss Heaters - LPG - Small Source s NOX LNB + SNCR NH3 Proce ss Heaters - LPG - Small Source s NOX SCR NH3 Proce ss Heaters - LPG - Small Source s NOX SNCR NH3 Proce ss Heaters - LPG - Small Source s NOX ULNB Proce ss Heaters - Natural Gas - Smal l Sourc es NOX LNB NH3 Proce ss Heaters - Natural Gas - Smal l Sourc es NOX LNB + FGR Proce ss Heaters - Natural Gas - Smal l Sourc es NOX LNB + SCR NH3 Proce ss Heaters - Natural Gas - Smal l Sourc es NOX LNB + SNCR NH3 Proce ss Heaters - Natural Gas - Smal l Sourc es NOX SCR NH3 Proce ss Heaters - Natural Gas - Smal l Sourc es NOX SNCR NH3 Proce ss Heaters - Natural Gas - Smal l Sourc es NOX ULNB Proce ss Heaters - O ther Fu el - Smal l Sourc es NOX LNB NH3 Proce ss Heaters - O ther Fu el - Smal l Sourc es NOX LNB + FGR Proce ss Heaters - O ther Fu el - Smal l Sourc es NOX LNB + SCR NH3

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 38 Proce ss Heaters - O ther Fu el - Smal l Sourc es NOX LNB + SNCR NH3 Proce ss Heaters - O ther Fu el - Smal l Sourc es NOX SCR NH3 Proce ss Heaters - O ther Fu el - Smal l Sourc es NOX SNCR NH3 Proce ss Heaters - O ther Fu el - Smal l Sourc es NOX ULNB Proce ss Heaters - Proces s Gas - Smal l Sourc es NOX LNB NH3 Proce ss Heaters - Proces s Gas - Smal l Sourc es NOX LNB + FGR Proce ss Heaters - Proces s Gas - Smal l Sourc es NOX LNB + SCR NH3 Proce ss Heaters - Proces s Gas - Smal l Sourc es NOX LNB + SNCR NH3 Proce ss Heaters - Proces s Gas - Smal l Sourc es NOX SCR NH3 Proce ss Heaters - Proces s Gas - Smal l Sourc es NOX SNCR NH3 Proce ss Heaters - Proces s Gas - Smal l Sourc es NOX ULNB Proce ss Heaters - Residu al Oil - Smal l Sourc es NOX LNB NH3 Proce ss Heaters - Residu al Oil - Smal l Sourc es NOX LNB + FGR Proce ss Heaters - Residu al Oil - Smal l Sourc es NOX LNB + SCR NH3 Proce ss Heaters - Residu al Oil - Smal l Sourc es NOX LNB + SNCR NH3 Proce ss Heaters - Residu al Oil - Smal l Sourc es NOX SCR NH3 Proce ss Heaters - Residu al Oil - Smal l Sourc es NOX SNCR NH3 Proce ss Heaters - Residu al Oil - Smal l Sourc es NOX ULNB Pr oduct and P ackagin g R otog rav ure and S cree n Pr inti ng VOC Perma nen t T otal Enclo sure (PT E)

Publ ic atio n Rotog ravure Print ing VOC Perma nen t T otal Enclo sure (PT E) Pulp and Pape r Indus try (Sulfate Pulpi ng) SO2 FGD Resi den tial Home Heat ing PM Sw itc h to Low Sutfu r Fuel SO2, NOX Re sident ial Na tur al G as NO X W ater H eate r + LN B Spa ce H eate rs Re sident ial Na tur al G as NO X W ater H eate r R eplace ment Re sident ial W ood Co mbusti on PM Edu catio n an d A dv isory P rog ram O C, E C, P M 25 Re sident ial W ood St ov es PM NS PS compl iant W ood St ov es Resi dua l Oil (Comm erci al/I nst itut ion al Boi lers ) SO2 FGD Resi dua l Oil (Comm erci al/I nst itut ion al Boi lers ) SO2 W et FGD Resi dua l Oil (Indu stri al Boi lers SO2 FGD Rich -B urn S tat ionar

y R ecipr ocati ng I nter nal Comb ust ion Engin es (RICE) NOX NSCR CO, VO C

Rich -B urn S tat ionar

y R ecipr ocati ng I nter nal Co mbusti on E ngine s NOX NSCR

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 39 Rubbe r and Pla sti cs M anu fac turin g VOC SCAQM D - Low VOC Sand /Gravel; Dryer - Smal l Sourc es NOX LNB + FGR Seco nda ry A lum inu m Produ cti on; Sm elti ng Furn ace s NOX LNB Seco nda ry M etal Produc tion SO2 FGD Soli d W ast e Disp osa l; Governme nt; Other NOX SNCR NH3 Spac e Heate rs - Disti lla te Oil - Smal l Sourc es NOX LNB Spac e Heate rs - Disti lla te Oil - Smal l Sourc es NOX LNB + FGR Spac e Heate rs - Disti lla te Oil - Smal l Sourc es NOX SCR NH3 Spac e Heate rs - Disti lla te Oil - Smal l Sourc es NOX SNCR NH3 Spac e Heate rs - Natural Gas - Small Source s NOX LNB Spac e Heate rs - Natural Gas - Small Source s NOX LNB + FGR S p a c e H e a t e r s - N a t u r a l G a s - S m a l l S o u r c e s N O X O T + WI Spac e Heate rs - Natural Gas - Small Source s NOX SCR NH3 Spac e Heate rs - Natural Gas - Small Source s NOX SNCR NH3 St ag e I I Se rvi c e S ta ti on s - Un de rg ro un d Ta nk s VOC Lo w Pr es s ur e/ Va c uu m Rel i ef Va l ve St ag e I I Se rvi c e S ta ti on s VOC Lo w Pr es s ur e/ Va c uu m Rel i ef Va l ve St arch M anuf

actur ing; C ombine d O per atio n - S mall Sou rces NOX LNB + FGR

Steam Generati ng Unit -Coal/ Oil SO2 FGD Steel Found ries ; Heat Treating NOX LNB Steel Produc tion ; Soak ing Pits NOX LNB + FGR Sulfa te Pulp ing - Recovery Furnac es - Sma ll Sou rces NOX LNB Sulfa te Pulp ing - Recovery Furnac es - Sma ll Sou rces NOX LNB + FGR S u l f a t e P u l p i n g - R e c o v e r y F u r n a c e s - S m a l l S o u r c e s N O X O T + WI Sulfa te Pulp ing - Recovery Furnac es - Sma ll Sou rces NOX SCR NH3 Sulfa te Pulp ing - Recovery Furnac es - Sma ll Sou rces NOX SNCR NH3 Sul fur R ecov ery

P lant s - Ele menta l S ulfu r SO 2 Amin e S crub bing Sulfu r Recovery Plants - Elemen tal Sul fur SO2 Ami ne Scru bbi ng + FGD Sulfu ric Acid Pla nts - Contact Absorb ers SO2 FGD Sul fur ic A cid P lant s - Co ntact A bsor ber s SO 2 Incr . A bsor ptio n E ff. to N SP S Lev el ( 99.7 %) Sulfu ric Acid Pla nts - Contact Absorb ers SO2 Inc r. Abso rptio n Eff. to NSPS Level (99.7 %) + FGD Sur face Co at O per ; C oati ng O v en H tr; N at G as - S mall Sou rces NOX LNB NH3

T raf fic M arkin gs VO C AI M C oati ng F eder al R ule

## Table II I-1 (continued)

PECHAN Ma y 2006

Source Cate gory Majo r Po llu tan t Co ntr ol Measu re O the r Po llu tan t

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### 40 T raf fic M arkin gs VO C Sou th Co ast Pha se I T raf fic M arkin gs VO C Sou th Co ast Pha se I I T raf fic M arkin gs VO C Sou th Co ast Pha se I II Un pav ed R oads PM Ch emical St abili z atio n EC , P M 25 Un pav ed R oads PM Ho t A sphalt P av ing O C, E C, P M 25 Utili ty Boiler - Coal/ Tangenti al NOX NGR Utili ty Boiler - Coal/ Tangenti al NOX SCR Hg, NH3 Utili ty Boiler - Coal/ Tangenti al NOX SNCR NH3 Utili ty Boiler - Coal/ Tangenti al NOX LNC1 Utili ty Boiler - Coal/ Tangenti al NOX LNC2 Utili ty Boiler - Coal/ Tangenti al NOX LNC3 Utili ty Boiler - Coal/ W all NOX NGR Utili ty Boiler - Coal/ W all NOX SCR NH3 Utili ty Boiler - Coal/ W all NOX SNCR NH3 Utili ty Boiler - Coal/ W all NOX LNB Utili ty Boiler - Coal/ W all NOX LNBO Utili ty Boiler - Cyclone NOX NGR Utili ty Boiler - Cyclone NOX SCR NH3 Utili ty Boiler - Cyclone NOX SNCR NH3 Utili ty Boiler - Oil-Gas/ Tangenti al NOX NGR Utili ty Boiler - Oil-Gas/ Tangenti al NOX SCR NH3 Utili ty Boiler - Oil-Gas/ Tangenti al NOX SNCR NH3 Utili ty Boiler - Oil-Gas/ W all NOX NGR Utili ty Boiler - Oil-Gas/ W all NOX SCR NH3 Utili ty Boiler - Oil-Gas/ W all NOX SNCR NH3 Ut ility B oiler s - Co al-F ired SO 2 Co al W ashing Hg , P M 25, PM 10 Ut ility B oiler s - Co al-F ired SO 2 Fuel S w itchi ng PM 25, PM 10 Utili ty Boilers - Coal-Fire d SO2 Repowering Hg, NOX Ut ility B oiler s - Co al PM Dr y E SP -W ire Pla te T y pe Hg , O C, E C, P M 25 Ut ility B oiler s - Co al PM Fabr ic Fi lter Hg , O C, E C, P M 25 Ut ility B oiler s - Co al PM Fabr ic Fi lter (M ech. Sha ker T y pe) Hg , O C, E C, P M 25 Ut ility B oiler s - Co al PM Fabr ic Fi lter (P ulse Jet T y pe) Hg , O C, E C, P M 25 Ut ility B oiler s - Co al PM Fabr ic Fi lter (R ev erse -A ir Cle aned T y pe) Hg , O C, E C, P M 25

## Table II I-1 (continued)

PECHAN Ma y 2006

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### 41 Ut ility B oiler s - G as/O il PM Fabr ic Fi lter Hg , O C, E C, P M 25 Utili ty Boilers - High Sulfu r Conten t SO2 FGD W et Scru bbe r Hg Utili ty Boilers - M edi um Sul fur Conte nt SO2 FGD W et Scru bbe r Hg Utili ty Boilers - Very

High Sulf ur Conte nt SO2 FGD W et Scru bbe r Hg W ood Fur nitu re Sur

face Co atin g VO C Add -O n C ontr ols W ood Furnit ure Surfa ce Coa ting VOC M ACT W oo d F ur ni tu re Su rf ac e Co at i ng VOC Ne w CTG W ood Pr oduct S urf

ace C oati ng VO C Incin era tion W ood Produc t Surfac e Coati ng VOC M ACT W ood Pr oduct S urf

ace C oati ng VO C SC AQ M D Ru le 1 104 W ood Pul p & P aper PM Dr y E SP -W ire Pla te T y pe O C, E C, P M 25 W ood Pul p & P aper PM W et ES P - W ire Pla te T y pe O C, E C, P M 25PECHAN Ma y 2006

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### 43 

# C H A P T E R IV REF ERENCES

EPA, 2002a: U.S. Environmental Protection Ag ency , “Use r’s Guide to MOBI L E6.1 and MOBI L E6.2: Mobile Source Emission Fac tor Model,” EPA-420- R-02-028, Off ice of Transpor tation and Air Qua lity , Ann Arbor , MI , October 2002.

EPA, 2002b: U.S. Environmental Protection Ag ency , Offic e of A ir Quality Planning a

nd Standards, " EPA Air Polluti on Control Cost Manual," 6th ed., EPA/452/B-02- 001, Resear ch Tria

ng le Park, NC, January

2002.

EPA, 2003: U.S. Environmental Protection Ag ency , NONROAD 2002b Model [C omputer Software ], Ann Arbor, MI , April 23, 2003.

67 F R 39 60 2, 20 02 : Fede ral Register , “Consolidated Emissions R eporting ,” Vol. 67, No. 111, J une 10, 2002.

Pechan, 2006: E.H . Pechan & Associates, Inc., " AirControlNET, Ve rsion 4.1 Control Measure Documenta tion Report," Dr aft Repor t, prepa red f or U.S. Environmental Protec tion Ag ency , Resear ch Tria

ng le Park, NC, Pecha

n Report No. 06.05.003/9011.002, May 2006.

Pechan a nd ENVI RON, 2001: E.H. Pecha n & A ssociates, I nc. and E NVI RON I nterna tional Cor po ratio n, " De ve lop me nt o f a REM SAD -B a se d M od e lin g To ol f or Us e in P a rt ic ulate Reg ulatory

I mpact Ana ly ses," prepa

red f or U.S. Environmental Protec tion Age ncy , Offic e of Air Qua lity

Planning a

nd Standards, Resea

rch Tr iang le Park, NC, September 2001.

Pechan a nd ENVI RON, 2002: E.H. Pecha n & A ssociates, I nc. and E NVI RON I nterna tional Cor po ratio n, " Up da te s to REM SAD -S T: A M od e lin g To ol f or Us e in P a rt ic ulate Reg ulatory

I mpact Ana ly ses," prepa

red f or U.S. Environmental Protec tion Age ncy , Offic e of Air Qua lity

Planning a

nd Standards, Resea

rch Tr iang le Park, NC, September 2002.PECHAN Ma y 2006

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# AP P ENDI X A: DATA S TRUCTURE TABLESPECHAN Ma y 2006

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## [This page intentional ly left blank.]PECHAN Ma y 2006

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### A -1 

## Table A -1. Data Structure of meas_ all_ <y ear >.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
M EA SR EC U ni que M easur e Num ber C 7
SE C T O R Sect or C 5
PO LLU T AN T Pol l ut ant C 1
M EA S M easur e Code C 6
F IP S S T F IP S S ta te C 2
F IP S C N T Y F IP S C o u n ty C 3
PLAN T I D Pl ant I D C 15
PO I N T I D Poi nt I D C 15
ST AC KI D St ack I D C 12
O R IS ID O R IS ID C 6
B L R ID B o i l e r ID C 6
SE G M EN T Segm ent C 2
SC C Sour ce Cl assi f i cat i on Code C 10
PLAN T Pl ant N am e C 40
SI C St andar d I ndust r i al C l assi f i cat i on C 4
IN C V O C V O C R e d u c e d b y M e a s u r e ( tp y) N 8 3

x IN C N O X N O R e d u c e d b y M e a s u r e ( tp y) N 8 3

2 IN C S O 2 S O R e d u c e d b y M e a s u r e ( tp y) N 8 3

10 IN C P M 1 0 P M R e d u c e d b y M e a s u r e ( tp y) N 8 3

2.5 IN C P M 2 5 P M R e d u c e d b y M e a s u r e ( tp y) N 8 3

3 IN C N H 3 N H R e d u c e d b y M e a s u r e ( tp y) N 8 3
IN C C O C O R e d u c e d b y M e a s u r e ( tp y) N 8 3
IN C O C O C R e d u c e d b y M e a s u r e ( tp y) N 8 3
IN C E C E C R e d u c e d b y M e a s u r e ( tp y) N 8 3
IN C H G H G R e d u c e d b y M e a s u r e ( tp y) N 8 3
T C O ST T ot al C ost ( 1997$ ) N 12
C PT O N C ost per T on Reduced ( 1997$ ) N 10
C AP C O ST C api t al C ost ( 1997$ ) N 12
O M C O ST O &M C ost ( 1997$ ) N 12
VO C _C E C ur r ent VO C C ont r ol Ef f i ci ency N 7 2
VO C _R E C ur r ent VO C R ul e Ef f ect i v eness N 3
VO C _R P C ur r ent VO C R ul e Penet r at i on N 3
VO C _AN N C ur r ent VO C Annual Em i ssi ons ( t py ) N 13 4 V_M EA S_C E M easur e VO C C ont r ol Ef f i ci ency N 7 2 V_M EA S_R E M easur e VO C R ul e Ef f ect i v eness N 3 V_M EA S_R P M easur e VO C R ul e Penet r at i on N 3

x N O X _C E C ur r ent N O C ont r ol Ef f i ci ency N 7 2

x N O X _R E C ur r ent N O R ul e Ef f ect i v eness N 3

x N O X _R P C ur r ent N O R ul e Penet r at i on N 3

x N O X _AN N C ur r ent N O Annual Em i ssi ons ( t py ) N 13 4

x N _M EA S_C E M easur e NO C ont r ol Ef f i ci ency N 7 2

x N _M EA S_R E M easur e NO R ul e Ef f ect i v eness N 3

## Table A -1 (continued)

PECHAN Ma y 2006

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### A -2 x N _M EA S_R P M easur e NO R ul e Penet r at i on N 3

10 PM 10_CE C ur r ent PM C ont r ol Ef f i ci ency N 7 2

2.5 PM 25_CE C ur r ent PM C ont r ol Ef f i ci ency N 7 2

10 PM 10_RE C ur r ent PM R ul e Ef f ect i v eness N 3

2.5 PM 25_RE C ur r ent PM R ul e Ef f ect i v eness N 3

10 PM 10_RP C ur r ent PM Rul e Penet r at i on N 3

2.5 PM 25_RP C ur r ent PM R ul e Penet r at i on N 3

10 PM 10_AN N C ur r ent PM Annual Em i ssi ons ( t py ) N 13 4

2.5 PM 25_AN N C ur r ent PM Annual Em i ssi ons ( t py ) N 13 4

10 P1_M EA S_C E M easur e PM C ont r ol Ef f i ci ency N 7 2

2.5 P2_M EA S_C E M easur e PM C ont r ol Ef f i ci ency N 7 2

10 P1_M EA S_R E M easur e PM R ul e Ef f ect i v eness N 3

2.5 P2_M EA S_R E M easur e PM R ul e Ef f ect i v eness N 3

10 P1_M EA S_R P M easur e PM R ul e Penet r at i on N 3

2.5 P2_M EA S_R P M easur e PM R ul e Penet r at i on N 3

2 SO 2_C E C ur r ent SO C ont r ol Ef f i ci ency N 7 2

2 SO 2_R E C ur r ent SO R ul e Ef f ect i v eness N 3

2 SO 2_R P C ur r ent SO R ul e Penet r at i on N 3

2 SO 2_AN N C ur r ent SO Annual Em i ssi ons ( t py ) N 13 4

2 S_M EA S_C E M easur e SO C ont r ol Ef f i ci ency N 7 2

2 S_M EA S_R E M easur e SO R ul e Ef f ect i v eness N 3

2 S_M EA S_R P M easur e SO R ul e Penet r at i on N 3

3 N H 3_C E C ur r ent N H C ont r ol Ef f i ci ency N 7 2

3 N H 3_R E C ur r ent N H R ul e Ef f ect i v eness N 3

3 N H 3_R P C ur r ent N H R ul e Penet r at i on N 3

3 N H 3_AN N C ur r ent N H Annual Em i ssi ons ( t py ) N 13 4

3 A_M EA S_C E M easur e NH C ont r ol Ef f i ci ency N 7 2

3 A_M EA S_R E M easur e NH R ul e Ef f ect i v eness N 3

3 A_M EA S_R P M easur e NH R ul e Penet r at i on N 3
C O _C E C ur r ent C O C ont r ol Ef f i ci ency N 7 2
C O _R E C ur r ent C O R ul e Ef f ect i v eness N 3
C O _R P C ur r ent C O R ul e Penet r at i on N 3
C O _AN N C ur r ent C O Annual Em i ssi ons ( t py ) N 13 4
C _M EA S_C E M easur e CO C ont r ol Ef f i ci ency N 7 2
C _M EA S_R E M easur e CO R ul e Ef f ect i v eness N 3
C _M EA S_R P M easur e CO R ul e Penet r at i on N 3
O C _C E C ur r ent O C C ont r ol Ef f i ci ency N 7 2
O C _R E C ur r ent O C R ul e Ef f ect i v eness N 3
O C _R P C ur r ent O C R ul e Penet r at i on N 3
O _M EA S_C E M easur e O C C ont r ol Ef f i ci ency N 7 2
O _M EA S_R E M easur e O C R ul e Ef f ect i v eness N 3
O _M EA S_R P M easur e O C R ul e Penet r at i on N 3

## Table A -1 (continued)

PECHAN Ma y 2006

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### A -3 EC _C E C ur r ent EC C ont r ol Ef f i ci ency N 7 2
EC _R E C ur r ent EC R ul e Ef f ect i v eness N 3
EC _R P C ur r ent EC R ul e Penet r at i on N 3 E_M EA S_C E M easur e EC C ont r ol Ef f i ci ency N 7 2 E_M EA S_R E M easur e EC R ul e Ef f ect i v eness N 3 E_M EA S_R P M easur e EC R ul e Penet r at i on N 3
H G _C E C ur r ent H g Cont r ol Ef f i ci ency N 7 2
H G _R E C ur r ent H g Rul e Ef f ect i v eness N 3
H G _R P C ur r ent H g Rul e Penet r at i on N 3
H _M EA S_C E M easur e Hg C ont r ol Ef f i ci ency N 7 2
H _M EA S_R E M easur e Hg R ul e Ef f ect i v eness N 3
H _M EA S_R P M easur e Hg R ul e Penet r at i on N 3
C O ST YEAR D ol l ar Y ear t hat C ost s ar e exp r essed i n C 4
EX PE R Exper i m ent al Fl ag ( Y= Yes, bl ank = N o) C 1PECHAN Ma y 2006

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### A -4 

## Table A -2. Data Structure of tacn_ke y s_<data s et name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
KE YI D U sed t o j oi n wi t h al l t abl es N 6 0
M EA SI D U ni que M easur e Num ber N 3 0
G E O ID S e le c t F ie ld N 4 0
SC C SE C T I D Pol l ut ant N 5 0
PLAN T I D C ont r ol N 5 0
PO I N T I D Sour ce N 4 0

x S I CNA I CS I D E m i s s i o n Re d u c t i o n NO N 5 0
S TA C K I D E m i s s i o n R e d u c t i o n V OC N 3 0

2 SEG M ENT I D Em i ss i on Red uc t i on SO N 3 0PECHAN Ma y 2006

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### A -5 

## Table A -3. Data Structure of tacn_emi ssi ons_<data se t name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
K E Y ID U s e d to jo in w ith K e y ta b le N 6 0
T O T ALC O ST U ni que M easur e Num ber N 10 0
O M C O ST Sel ect Fi el d N 10 0
C AP C O ST Pol l ut ant N 10 0
C O ST PE R T O N C ont r ol N 10 0
I N C R E_C O ST Sour ce N 10 0

x I NCNOX E m i s s i o n Re d u c t i o n NO N 7 3
I N C V OC E m i s s i o n R e d u c t i o n V OC N 7 3

2 I N C SO 2 Em i ss i on Red uc t i on SO N 7 3

10 I N C PM 10 Em i ss i on Red uc t i on PM N 7 3

2.5 I N C PM 25 Em i ss i on Red uc t i on PM N 7 3

3 I NCNH3 E m i s s i o n Re d u c t i o n NH N 7 3
I N C OC E m i s s i o n R e d u c t i o n OC N 7 3
I N C EC Em i ss i on Red uc t i on EC N 7 3
I NCCO E m i s s i o n Re d u c t i o n CO N 8 2
I NCHG E m i s s i o n Re d u c t i o n Hg N 7 5

x N O X

_ A N N C u r r e n t N O A n n u a l E m is s io n s ( tp y) N 7 3
V O C

_ A N N C u r r e n t V O C A n n u a l E m is s io n s ( tp y) N 7 3

2 S O 2

_ A N N C u r r e n t S O A n n u a l E m is s io n s ( tp y) N 7 3

10 P M 1 0

_ A N N C u r r e n t P M A n n u a l E m is s io n s ( tp y) N 7 3

2.5 P M 2 5

_ A N N C u r r e n t P M A n n u a l E m is s io n s ( tp y) N 7 3

3 N H 3

_ A N N C u r r e n t N H A n n u a l E m is s io n s ( tp y) N 7 3
O C

_ A N N C u r r e n t O C A n n u a l E m is s io n s ( tp y) N 7 3
E C

_ A N N C u r r e n t E C A n n u a l E m is s io n s ( tp y) N 7 3
C O

_ A N N C u r r e n t C O A n n u a l E m is s io n s ( tp y) N 8 2
H G

_ A N N C u r r e n t H g A n n u a l E m is s io n s ( tp y) N 7 5

x I NCRE

_ NOX I n c r e m e n t a l Co n t r o l Re d u c t i o n s : N O N 7 3
I N C R E_VO C I nc r em en t al Con t r ol Red uc t i on s: VO C N 7 3

2 I N C R E_SO 2 I nc r em en t al Con t r ol Red uc t i on s: SO N 7 3

10 I N C R E_PM10 I nc r em en t al Con t r ol Red uc t i on s: PM N 7 3

2.5 I N C R E_PM25 I nc r em en t al Con t r ol Red uc t i on s: PM N 7 3

3 I NCRE

_ NH3 I n c r e m e n t a l Co n t r o l Re d u c t i o n s : N H N 7 3
IN C R E

_ O C In c re m e n ta l C o n tro l R e d u c ti o n s : O C N 7 3
I N C R E_EC I nc r em en t al Con t r ol Red uc t i on s: EC N 7 3
I NCRE

_ CO I n c r e m e n t a l Co n t r o l Re d u c t i o n s CO N 8 2
I NCRE

_ HG I n c r e m e n t a l Co n t r o l Re d u c t i o n s : Hg N 7 5PECHAN Ma y 2006

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### A -6 

## Table A -4. Data Structure of t acn_ key s_m axtpollutant_<data se t name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
KE YI D U sed t o j oi n wi t h al l t abl es N 6
M A X T P O L L P o l l u ta n t n a m e u s e d i n c o n ju n c ti o n w i th k e y i d to

i ndi cat e whi ch po l l ut ant f or key i d' s r ow i s t he

m axi m um r educt i on C 4



## Table A -5. Data Structure of t lac n_se gment_<data se t name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
S E G M E N T ID S e g m e n t I D N 3
SE G M EN T Segm ent C 4



## Table A -6. Data Structure of t acn_ key s_i gnorepollutant_<data se t name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
KE YI D U sed t o j oi n wi t h al l t abl es N 6
D E L E T E P O L L P o l l u ta n t n a m e u s e d i n c o n ju n c ti o n w i th k e y i d to

in d ic a te w h ic h p o llu ta n t f o r k e yid 's r o w s h o u ld be i gnor ed C 4



## Table A -7. Data Structure of t lac n_sc cse ctor_<data se t name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
S C C S E C T ID S C C S e c to r ID N 5
SC C Sour ce Cl assi f i cat i on Code C 10
SE C T O R Sect or C 5
S C C 12 S C C T i ers 1-2 C 2
S C C 34 S C C T i ers 3-4 C 2
S C C 67 S C C T i ers 6-7 C 3
SC C 810 SC C T i er s 8- 10 C 3
D ES C 12 D escr i pt i on o f SC C T i er s 1- 2 C 54
D ES C 34 D escr i pt i on o f SC C T i er s 3- 4 C 54
D ES C 67 D escr i pt i on o f SC C T i er s 6- 7 C 70
D ES C 810 D escr i pt i on o f SC C T i er s 8- 10 C 70PECHAN Ma y 2006

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### A -7 

## Table A -8. Data Structure of t acn_ rems adtotals_ <data set name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
R EM SA D SE C T R egul at or y M odel i ng Sy st em f or Aer osol s and

D eposi t i on Sect or C 1

R EM SA D KE Y R egul at or y M odel i ng Sy st em f or Aer osol s and

D eposi t i on Key C 2 3

N O X _T O T T ot al N O x em i ssi ons f or N EI N 13 4
VO C _T O T T ot al VO C em i ssi ons f or N EI N 13 4

10 PM 10_T O T T ot al PM em i ssi ons f or N EI N 13 4

2.5 PM 25_T O T T ot al PM em i ssi ons f or N EI N 13 4

2 SO 2_T O T T ot al SO em i ssi ons f or N EI N 13 4

3 N H 3_T O T T ot al N H em i ssi ons f or N EI N 13 4
SO A_T O T T ot al N 13 4
C O _T O T T ot al C O em i ssi ons f or N EI N 13 4
H G _T O T T ot al H g em i ssi ons f or N EI N 13 4



## Table A -9. Data Structure of t lac n_geogra phic_<data s et name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
G EO I D U ni que geogr aphi c i dent i f i er N 4
F IP S S T F IP S S ta te C 2
F IP S C N T Y F IP S C o u n ty C 3
ST AT EN M St at e Nam e C 15
ST AT EA BR St at e Abbr ev i at i on C 2
C O U N T YNM C ount y N am e C 25
C BS A C ensus Bur eau St at i st i cal Ar ea C 5
C BS AT YPE C BS A t y pe C 6
C BS AN AM E C BS A nam e C 80



## Table A -10. Data Structure of tlacn_point_<data se t name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
PO I N T I D U ni que Poi nt I dent i f i er ( det er m i ned by us) N 4
PO I N T I D 2 T ext Poi nt I dent i f i er ( det er m i ned by EPA

, t he

St at es, som eone el se?) C 1 5PECHAN Ma y 2006

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### A -8 

## Table A -11. Data Structure of tacn_effec tiv enes s_<data s et name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
KE YI D U sed t o j oi n wi t h al l t abl es N 6

x N O X _C E C ur r ent N O C ont r ol Ef f i ci ency N 7 2
VO C _C E C ur r ent VO C C ont r ol Ef f i ci ency N 7 2

2 SO 2_C E C ur r ent SO C ont r ol Ef f i ci ency N 7 2

3 N H 3_C E C ur r ent N H C ont r ol Ef f i ci ency N 7 2

10 PM 10_CE C ur r ent PM C ont r ol Ef f i ci ency N 7 2

2.5 PM 25_CE C ur r ent PM C ont r ol Ef f i ci ency N 7 2
O C _C E C ur r ent O C C ont r ol Ef f i ci ency N 7 2
EC _C E C ur r ent EC C ont r ol Ef f i ci ency N 7 2
C O _C E C ur r ent C O C ont r ol Ef f i ci ency N 7 2
H G _C E C ur r ent H g Cont r ol Ef f i ci ency N 7 2

x N O X _R E C ur r ent N O R ul e Ef f ect i v eness N 3
VO C _R E C ur r ent VO C R ul e Ef f ect i v eness N 3

2 SO 2_R E C ur r ent SO R ul e Ef f ect i v eness N 3

3 N H 3_R E C ur r ent N H R ul e Ef f ect i v eness N 3

10 PM 10_RE C ur r ent PM R ul e Ef f ect i v eness N 3

2.5 PM 25_RE C ur r ent PM R ul e Ef f ect i v eness N 3
O C _R E C ur r ent O C R ul e Ef f ect i v eness N 3
EC _R E C ur r ent EC R ul e Ef f ect i v eness N 3
C O _R E C ur r ent C O R ul e Ef f ect i v eness N 3
H G _R E C ur r ent H g Rul e Ef f ect i v eness N 3



## Table A -12. Data Structure of tlacn_pla nt_<data set name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
PLAN T I D U ni que Pl ant I dent i f i er ( det er m i ned by us) N 5
PLAN T I D 2 T ext Pl ant I dent i f i er ( det er m i ned by EPA

, t he

St at es, som eone el se?) C 1 5

PLAN T N AM E Pl ant N am e C 40PECHAN Ma y 2006

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### A -9 

## Table A -13. Data Structure of tlacn_s ic4 naic s3_ <data set name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls SI C N AI C SI D U ni que SI C / N AI C S I dent i f i er N 3 SI C 4 St andar d I ndust r i al C l assi f i cat i on Code C 4
N AI C S3 N or t h Am er i can I ndust r y C l assi f i cat i on Sy st em C ode C 3
N 3LABE L N AI C S3 descr i pt i on C 123



## Table A -14. Data Structure of tlacn_me as_ <data set name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
M EA SI D U ni que M easur e I dent i f i er N 3
M EA S M easur e Code C 6
M EA SN AM E M easur e Nam e C 50
LM EA SN AM E Long M easur e Nam e / D escr i pt i on C 95 SO U R C E Sour ce C 88 C PO LLU T AN T C r i t er i a Pol l ut ant C 3 SE C T O R Sect or C 6 C O ST _YEAR C ost Y ear C 4
E D IT A B L E In d ic a te s w h e th e r th e c u r r e n t m e a s u r e is e d ita b le L 1
I In te re s t R a te N 8 4 C E C ont r ol Ef f i ci ency N 6 3 ELEC _R T El ect r i ci t y R at e ( $ pe r kW h) N 8 4
N G _R T N atural G as R ate ($ pe r cf) N 6 3 O P LB R _R T O pe rat i ng La bo r R ate ($ pe r hou r) N 6 3
M N T LB R _R T M ai nten an c e L ab or R ate ($ pe r hou r) N 6 3 EQ P_LI FE Equi pm ent Li f e ( y ear s) N 3 OP L B R_ P CT Op e r a t i n g L a b o r ( % o f OM C OS T) N 8 4
MNT L B R_ P CT Ma i n t e n a n c e L a b o r ( % o f OM C OS T) N 8 4 S P V L B R_ P CT S u p e r v i s o r y L a b o r ( % o f OM C OS T) N 8 4
MNT MTL

_ P CT Ma i n t e n a n c e Ma t e r i a l s ( % o f OM C OS T) N 8 4
RP L MTL

_ P CT Re p l a c e m e n t Ma t e r i a l s ( % o f OM C OS T) N 8 4
E L E C_ P CT E l e c t r i c i t y ( % o f OM C OS T) N 8 4 S TE A M_ P CT S t e a m ( % o f OM C OS T) N 8 4
F UE L

_ P CT F u e l ( % o f OM C OS T) N 8 4
W S T D S P _P C T W as t e D i s po s al (% of O M C O S T ) N 8 4 CH E M_ P CT Ch e m i c a l s ( % o f OM C OS T) N 8 4 OMA TL

_ P CT Ot h e r Ma t e r i a l s ( % o f OM C OS T) N 8 4 OTHR

_ P CT Ot h e r ( % o f OM C OS T) N 8 4 UT I L

_ P CT Ot h e r U t i l i t y P e r c e n t a g e o f O& M C o s t s ( % o f OM C OS T) N 8 4
TD I R_ P CT To t a l D i r e c t C o s t s ( % o f OM C OS T) N 8 4 OV RH D_ P CT Ov e r h e a d ( % o f OM C OS T) N 8 4
A DMI N_ P CT A d m i n i s t r a t i v e ( % o f OM C OS T) N 8 4
P ROP TX

_ P CT P r o p e r t y Ta x ( % o f OM C OS T) N 8 4
I NS RN C_ P CT I n s u r a n c e ( % o f OM C OS T) N 8 4
TI ND I R_ P CT To t a l I n d i r e c t C o s t s ( % o f OM C OS T) N 8 4PECHAN Ma y 2006

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### A-1 0 

## Table A -15. Data Structure of tlacn_s ic2 _<data se t name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
SI C 2 St andar d I ndust r i al C l assi f i cat i on Code C 2
BO X LABE L SI C 2 Descr i pt i on C 45



## Table A -16. Data Structure of TLA CN_STA CK_<data set name>.dbf

F ie ld N a m e D e s c rip tio n T yp e W id th D e c im a ls
S T A C K ID S ta c k ID N 4
ST AC K St ack N am e C 12PECHAN Ma y 2006

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# AP P ENDI X B: CONTROL M EAS URE S UM M ARY LI S T BY P OL LU TA NTPECHAN Ma y 2006

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## [This page intentional ly left blank.]Appendix B Control Measure Summary List by Source Category (1999 Baseline) - Sorted alphabetically by Pollutant and Source CategorySource Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighCattle Feedlots Chemical Additives to Waste50%√*228Hog Operations Chemical Additives to Waste50%√*73Poultry Operations Chemical Additives to Waste75%√*1,014Agricultural Burning Seasonal Ban (Ozone Season Daily)100%√*N/AAmmonia - Natural Gas - FiredReformers - Small SourcesOxygen Trim + Water Injection65%√*680Ammonia - Natural Gas - FiredReformers - Small SourcesSelective Non-Catalytic Reduction(SNCR)50% 2,900√* X3,8703,870Ammonia - Natural Gas - FiredReformers - Small SourcesSelective Catalytic Reduction (SCR)80% 2,230√* X2,2302,860Ammonia - Natural Gas - FiredReformers - Small SourcesLow NOx Burner50%√*820Ammonia - Natural Gas - FiredReformers - Small SourcesLow NOx Burner (LNB) + Flue GasRecirculation (FGR)60% 2,470√*2,5602,560Ammonia Products; FeedstockDesulfurization - Small SourcesLow NOx Burner + Flue GasRecirculation60% 2,470√*2,5602,560Asphaltic Conc; Rotary Dryer;Conv Plant - Small SourcesLow NOx Burner50%√*2,200B-1Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighBy-Product CokeManufacturing; OvenUnderfiringSelective Non-Catalytic Reduction(SNCR)60%√* X1,640Cement Kilns Biosolid Injection23%√*310Cement Manufacturing - Dry Mid-Kiln Firing25% -460√*55730Cement Manufacturing - Dry Selective Non-Catalytic Reduction(SNCR) Urea Based50%√* X770Cement Manufacturing - Dry Selective Catalytic Reduction (SCR)80%√* X3,370Cement Manufacturing - Dry Selective Non-Catalytic Reduction(SNCR) Ammonia Based50%√* X850Cement Manufacturing - Dry Low NOx Burner25% 300√*440620Cement Manufacturing - Wet Mid-Kiln Firing25% -460√*55730Cement Manufacturing - Wet Low NOx Burner25% 300√*440620Cement Manufacturing - Wet -Large SourcesSelective Catalytic Reduction (SCR)80%√* X2,880Cement Manufacturing - Wet -Small SourcesSelective Catalytic Reduction (SCR)80%√* X2,880B-2Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighCeramic Clay Manufacturing;Drying - Small SourcesLow NOx Burner50%√*2,200Coal Cleaning-Thrml Dryer;Fluidized Bed - Small SourcesLow NOx Burner50%√*1,460Coal-fired Plants withProduction Capacities>100MWCombustion Optimization20%√*-25Combustion Turbines - JetFuel - Small SourcesSelective Catalytic Reduction (SCR)+ Water Injection90%√*2,300Combustion Turbines - JetFuel - Small SourcesWater Injection68%√*1,290Combustion Turbines - NaturalGas - Large SourcesDry Low NOx Combustors50% 100√*100140Combustion Turbines - NaturalGas - Small SourcesSelective Catalytic Reduction (SCR)+ Water Injection95%√*2,730Combustion Turbines - NaturalGas - Small SourcesSelective Catalytic Reduction (SCR)+ Steam Injection95% 2,010√* X2,0108,960Combustion Turbines - NaturalGas - Small SourcesSteam Injection80%√*1,040Combustion Turbines - NaturalGas - Small SourcesWater Injection76%√*1,510Combustion Turbines - NaturalGas - Small SourcesSelective Catalytic Reduction (SCR)+ Low NOx Burner (LNB)94% 2,570√* X2,57019,120B-3Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighCombustion Turbines - NaturalGas - Small SourcesDry Low NOx Combustors84% 490√*490540Combustion Turbines - Oil -Small SourcesSelective Catalytic Reduction (SCR)+ Water Injection90%√*2,300Combustion Turbines - Oil -Small SourcesWater Injection68%√*1,290Commercial/Institutional -Natural GasWater Heater Replacement7%√*N/ACommercial/Institutional -Natural GasWater Heaters + LNB Space Heaters7%√*1,230Commercial/InstitutionalIncineratorsSelective Non-Catalytic Reduction(SNCR)45%√* X1,130Conv Coating of Prod; AcidCleaning Bath - Small SourcesLow NOx Burner50%√*2,200Diesel Locomotives Selective Catalytic Reduction (SCR)72%√*1,400Fiberglass Manufacture; TextileType; Recuperative FurnacesLow NOx Burner40%√*1,690Fluid Catalytic Cracking Units -Small SourcesLow NOx Burner + Flue GasRecirculation55% 1,430√*3,1903,190Fuel Fired Equipment -Process HeatersLow NOx Burner + Flue GasRecirculation50%√*570B-4Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighFuel Fired Equipment;Furnaces; Natural GasLow NOx Burner50%√*570Glass Manufacturing -ContainersOXY-Firing85%√*4,590Glass Manufacturing -ContainersElectric Boost10%√*7,150Glass Manufacturing -ContainersCullet Preheat25%√*940Glass Manufacturing -ContainersLow NOx Burner40%√*1,690Glass Manufacturing -ContainersSelective Non-Catalytic Reduction(SNCR)40%√* X1,770Glass Manufacturing -ContainersSelective Catalytic Reduction (SCR)75%√* X2,200Glass Manufacturing - Flat OXY-Firing85%√*1,900Glass Manufacturing - Flat Low NOx Burner40%√*700Glass Manufacturing - Flat Electric Boost10%√*2,320Glass Manufacturing - Flat -Large SourcesSelective Catalytic Reduction (SCR)75%√* X710B-5Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighGlass Manufacturing - Flat -Large SourcesSelective Non-Catalytic Reduction(SNCR)40%√* X740Glass Manufacturing - Flat -Small SourcesSelective Catalytic Reduction (SCR)75%√* X710Glass Manufacturing - Flat -Small SourcesSelective Non-Catalytic Reduction(SNCR)40%√* X740Glass Manufacturing - Pressed Cullet Preheat25%√*810Glass Manufacturing - Pressed Low NOx Burner40%√*1,500Glass Manufacturing - Pressed Selective Non-Catalytic Reduction(SNCR)40%√* X1,640Glass Manufacturing - Pressed Selective Catalytic Reduction (SCR)75%√* X2,530Glass Manufacturing - Pressed OXY-Firing85%√*3,900Glass Manufacturing - Pressed Electric Boost10%√*8,760Highway Vehicles - GasolineEngineLow Reid Vapor Pressure (RVP)Limit in Ozone Season0.1% 5.5% 11.1% 125√ √*√1,54825,671Highway Vehicles - Heavy Dutyand Diesel-Fueled VehiclesHeavy Duty Engine and VehicleStandards and Highway Diesel FuelSulfur Controls76%√ √*√√ √√10,561B-6Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighHighway Vehicles - Heavy Dutyand Diesel-Fueled VehiclesHeavy Duty Engine and VehicleStandards and Highway Diesel FuelSulfur Controls44%√ √*√√ √√10,561Highway Vehicles - Heavy Dutyand Diesel-Fueled VehiclesHeavy Duty Engine and VehicleStandards and Highway Diesel FuelSulfur Controls61%√ √*√√ √√10,561Highway Vehicles - Heavy Dutyand Diesel-Fueled VehiclesHeavy Duty Engine and VehicleStandards and Highway Diesel FuelSulfur Controls19%√ √*√√ √√9,301Highway Vehicles - Heavy DutyDiesel EnginesVoluntary Diesel Retrofit Program:Selective Catalytic Reduction19.26%√ √*√√ √√50,442Highway Vehicles - Light Dutyand Gasoline-Fueled VehiclesTier 2 Motor Vehicle Emissions andGasoline Sulfur Controls74% 83% 92%√ √*√√ √√6,297Highway Vehicles - Light Dutyand Gasoline-Fueled VehiclesTier 2 Motor Vehicle Emissions andGasoline Sulfur Controls43% 54.5% 66%√ √*√√ √√6,297Highway Vehicles - Light Dutyand Gasoline-Fueled VehiclesTier 2 Motor Vehicle Emissions andGasoline Sulfur Controls52% 64.5% 77%√ √*√√ √√6,297Highway Vehicles - Light Dutyand Gasoline-Fueled VehiclesTier 2 Motor Vehicle Emissions andGasoline Sulfur Controls28% 34% 40%√ √*√√ √√6,297Highway Vehicles - Light DutyGasoline EnginesHigh Enhanced Inspection andMaintenance (I/M) Program0.4% 6.5% 13.4% 3,900√*√ √7,949218,369IC Engines - Gas L-E (Low Speed)87%√*176IC Engines - Gas - SmallSourcesSelective Catalytic Reduction (SCR)90%√*2,769B-7Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighIC Engines - Gas, Diesel,LPG - Small SourcesSelective Catalytic Reduction (SCR)80%√*2,340IC Engines - Gas, Diesel,LPG - Small SourcesIgnition Retard25%√*770ICI Boilers - Coal/Cyclone -Large SourcesCoal Reburn50%√*300ICI Boilers - Coal/Cyclone -Small SourcesSelective Catalytic Reduction (SCR)80%√*820ICI Boilers - Coal/Cyclone -Small SourcesNatural Gas Reburn (NGR)55%√*1,570ICI Boilers - Coal/Cyclone -Small SourcesSelective Non-Catalytic Reduction(SNCR)35%√* X840ICI Boilers - Coal/Cyclone -Small SourcesCoal Reburn50%√*1,570ICI Boilers - Coal/FBC - LargeSourcesSelective Non-Catalytic Reduction(SNCR) Urea Based40%√* X670ICI Boilers - Coal/FBC - SmallSourcesSelective Non-Catalytic Reduction(SNCR) Urea Based75%√* X900ICI Boilers - Coal/Stoker -Small SourcesSelective Non-Catalytic Reduction(SNCR)40% 873√* X1,0151,015ICI Boilers - Coal/Stoker -Small SourcesSelective Non-Catalytic Reduction(SNCR)40%√* X817B-8Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighICI Boilers - Coal/Wall - LargeSourcesLow NOx Burner50%√*1,090ICI Boilers - Coal/Wall - LargeSourcesSelective Catalytic Reduction (SCR)70%√* X1,070ICI Boilers - Coal/Wall - LargeSourcesSelective Non-Catalytic Reduction(SNCR)40%√* X840ICI Boilers - Coal/Wall - SmallSourcesSelective Catalytic Reduction (SCR)70%√*1,260ICI Boilers - Coal/Wall - SmallSourcesSelective Non-Catalytic Reduction(SNCR)40% 400√* X1,0401,040ICI Boilers - Coal/Wall - SmallSourcesLow NOx Burner50%√*1,460ICI Boilers - Coke - SmallSourcesSelective Non-Catalytic Reduction(SNCR)40% 400√* X1,0401,040ICI Boilers - Coke - SmallSourcesLow NOx Burner50%√*1,460ICI Boilers - Coke - SmallSourcesSelective Catalytic Reduction (SCR)70%√* X1,260ICI Boilers - Distillate Oil -Large SourcesSelective Non-Catalytic Reduction(SNCR)50%√* X1,890ICI Boilers - Distillate Oil -Small SourcesLow NOx Burner50%√*1,180B-9Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighICI Boilers - Distillate Oil -Small SourcesLow NOx Burner + Flue GasRecirculation60% 1,090√*2,4902,490ICI Boilers - Distillate Oil -Small SourcesSelective Catalytic Reduction (SCR)80% 2,780√* X2,7803,570ICI Boilers - Distillate Oil -Small SourcesSelective Non-Catalytic Reduction(SNCR)50% 3,470√* X4,6404,640ICI Boilers - Liquid Waste Selective Catalytic Reduction (SCR)80% 1,480√* X1,4801,910ICI Boilers - Liquid Waste -Small SourcesLow NOx Burner50%√*400ICI Boilers - Liquid Waste -Small SourcesLow NOx Burner + Flue GasRecirculation60% 1,120√*1,1201,080ICI Boilers - Liquid Waste -Small SourcesSelective Non-Catalytic Reduction(SNCR)50% 1,940√* X2,5802,580ICI Boilers - LPG - SmallSourcesSelective Catalytic Reduction (SCR)80% 2,780√* X2,7803,570ICI Boilers - LPG - SmallSourcesLow NOx Burner + Flue GasRecirculation60% 1,090√*2,4902,490ICI Boilers - LPG - SmallSourcesSelective Non-Catalytic Reduction(SNCR)50% 3,470√* X4,6404,640ICI Boilers - LPG - SmallSourcesLow NOx Burner50%√*1,180B-10Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighICI Boilers - MSW/Stoker -Small SourcesSelective Non-Catalytic Reduction(SNCR) Urea Based55%√* X1,690ICI Boilers - Natural Gas -Large SourcesSelective Non-Catalytic Reduction(SNCR)50%√* X1,570ICI Boilers - Natural Gas -Small SourcesLow NOx Burner + Flue GasRecirculation60% 2,470√*2,5602,560ICI Boilers - Natural Gas -Small SourcesOxygen Trim + Water Injection65%√*680ICI Boilers - Natural Gas -Small SourcesSelective Catalytic Reduction (SCR)80% 2,230√* X2,2302,860ICI Boilers - Natural Gas -Small SourcesLow NOx Burner50%√*820ICI Boilers - Natural Gas -Small SourcesSelective Non-Catalytic Reduction(SNCR)50% 2,900√* X3,8703,870ICI Boilers - Process Gas -Small SourcesOxygen Trim + Water Injection65%√*680ICI Boilers - Process Gas -Small SourcesLow NOx Burner50%√*820ICI Boilers - Process Gas -Small SourcesLow NOx Burner + Flue GasRecirculation60% 2,470√*2,5602,560ICI Boilers - Process Gas -Small SourcesSelective Catalytic Reduction (SCR)80% 2,230√* X2,2302,860B-11Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighICI Boilers - Residual Oil -Large SourcesSelective Non-Catalytic Reduction(SNCR)50%√* X1,050ICI Boilers - Residual Oil -Small SourcesSelective Catalytic Reduction (SCR)80% 1,480√* X1,4801,910ICI Boilers - Residual Oil -Small SourcesLow NOx Burner50%√*400ICI Boilers - Residual Oil -Small SourcesSelective Non-Catalytic Reduction(SNCR)50% 1,940√* X2,5802,580ICI Boilers - Residual Oil -Small SourcesLow NOx Burner + Flue GasRecirculation60% 1,120√*1,1201,080ICI Boilers -Wood/Bark/Stoker - LargeSourcesSelective Non-Catalytic Reduction(SNCR) Urea Based55%√* X1,190ICI Boilers -Wood/Bark/Stoker - SmallSourcesSelective Non-Catalytic Reduction(SNCR) Urea Based55%√* X1,440Industrial Coal Combustion RACT to 25 tpy (LNB)21%√*1,350Industrial Coal Combustion RACT to 50 tpy (LNB)21%√*1,350Industrial Incinerators Selective Non-Catalytic Reduction(SNCR)45%√* X1,130Industrial Natural GasCombustionRACT to 50 tpy (LNB)31%√*770B-12Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighIndustrial Natural GasCombustionRACT to 25 tpy (LNB)31%√*770Industrial Oil Combustion RACT to 50 tpy (LNB)36%√*1,180Industrial Oil Combustion RACT to 25 tpy (LNB)36%√*1,180In-Proc; Process Gas; CokeOven/Blast OvensLow NOx Burner + Flue GasRecirculation55% 1,430√*3,1903,190In-Process Fuel Use -Bituminous Coal - SmallSourcesSelective Non-Catalytic Reduction(SNCR)40%√* X1,260In-Process Fuel Use; NaturalGas - Small SourcesLow NOx Burner50%√*2,200In-Process Fuel Use; ResidualOil - Small SourcesLow NOx Burner37%√*2,520In-Process; Bituminous Coal;Cement KilnsSelective Non-Catalytic Reduction(SNCR) Urea Based50%√* X770In-Process; Bituminous Coal;Lime KilnsSelective Non-Catalytic Reduction(SNCR) Urea Based50%√* X770In-Process; Process Gas;Coke Oven GasLow NOx Burner50%√*2,200Internal Combustion Engines -GasL-E (Medium Speed)87%√*380B-13Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighInternal Combustion Engines -Gas - Large SourcesIgnition Retard20%√*550Internal Combustion Engines -Gas - Large SourcesAir/Fuel + Ignition Retard30% 150√*460460Internal Combustion Engines -Gas - Large SourcesAir/Fuel Ratio Adjustment20%√*380Internal Combustion Engines -Gas - Small SourcesAir/Fuel + Ignition Retard30% 270√*1,4401,440Internal Combustion Engines -Gas - Small SourcesAir/Fuel Ratio Adjustment20%√*1,570Internal Combustion Engines -Gas - Small SourcesIgnition Retard20%√*1,020Internal Combustion Engines -Oil - Small SourcesSelective Catalytic Reduction (SCR)80%√* X2,340Internal Combustion Engines -Oil - Small SourcesIgnition Retard25%√*770Iron & Steel Mills - Annealing Low NOx Burner (LNB) + SCR80% 1,320√* X1,7201,720Iron & Steel Mills - Annealing Low NOx Burner + Flue GasRecirculation60% 250√*750750Iron & Steel Mills - Annealing Selective Non-Catalytic Reduction(SNCR)60%√* X1,640B-14Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighIron & Steel Mills - Annealing Low NOx Burner50%√*570Iron & Steel Mills - Annealing -Small SourcesSelective Catalytic Reduction (SCR)85%√* X3,830Iron & Steel Mills - Annealing -Small SourcesLow NOx Burner (LNB) + SelectiveCatalytic Reduction (SCR)90% 3,720√* X4,0804,080Iron & Steel Mills - Galvanizing Low NOx Burner + Flue GasRecirculation60% 190√*580580Iron & Steel Mills - Galvanizing Low NOx Burner50%√*490Iron & Steel Mills - Reheating Low NOx Burner + Flue GasRecirculation77% 150√*380380Iron & Steel Mills - Reheating Low NOx Burner66%√*300Iron & Steel Mills - Reheating Low Excess Air (LEA)13%√*1,320Iron Production; BlastFurnaces; Blast Heating StovesLow NOx Burner + Flue GasRecirculation77%√*380Lime Kilns Low NOx Burner30%√*560Lime Kilns Mid-Kiln Firing30%√*460B-15Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighMedical Waste Incinerators Selective Non-Catalytic Reduction(SNCR)45%√* X4,510Municipal Waste Combustors Selective Non-Catalytic Reduction(SNCR)45%√* X1,130Natural Gas Production;Compressors - Small SourcesSelective Catalytic Reduction (SCR)20%√* X1,651Nitric Acid Manufacturing -Small SourcesExtended Absorption95%√*480Nitric Acid Manufacturing -Small SourcesNon-Selective Catalytic Reduction(NSCR)98% 510√* X550710Nitric Acid Manufacturing -Small SourcesSelective Catalytic Reduction (SCR)97%√* X590Off-Highway Diesel Vehicles Final Compression-Ignition (C-I)Engine Standards65% 72% 79%√ √*√ √√N/AOff-Highway Diesel Vehicles Final Compression-Ignition (C-I)Engine Standards49% 62% 75%√ √*√ √√N/AOff-Highway Diesel Vehicles Final Compression-Ignition (C-I)Engine Standards34% 45.5% 57%√ √*√ √√N/AOff-Highway Diesel Vehicles Final Compression-Ignition (C-I)Engine Standards21% 30% 59%√ √*√ √√N/AOff-Highway Gasoline Vehicles Large Spark-Ignition (S-I) EngineStandards-32% 33.5% 91%√ √*√ √√N/AB-16Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighOff-Highway Gasoline Vehicles Large Spark-Ignition (S-I) EngineStandards-26% 33.5% 93%√ √*√ √√N/AOff-Highway Gasoline Vehicles Large Spark-Ignition (S-I) EngineStandards-31% 29% 95%√ √*√ √√N/AOff-Highway Gasoline Vehicles Large Spark-Ignition (S-I) EngineStandards-26% 35.5% 77%√ √*√ √√N/AOpen Burning Episodic Ban (Daily Only)100%√*N/APlastics Prod-Specific; (ABS) -Small SourcesLow NOx Burner + Flue GasRecirculation55% 1,430√*3,1903,190Process Heaters - DistillateOil - Small SourcesSelective Catalytic Reduction (SCR)75%√* X9,230Process Heaters - DistillateOil - Small SourcesLow NOx Burner - Selective NonCatalytic Reduction (SNCR)78% 3,620√* X3,6203,830Process Heaters - DistillateOil - Small SourcesUltra Low NOx Burner74%√*2,140Process Heaters - DistillateOil - Small SourcesSelective Non-Catalytic Reduction(SNCR)60%√* X3,180Process Heaters - DistillateOil - Small SourcesLow NOx Burner + Flue GasRecirculation48% 4,250√*4,25019,540Process Heaters - DistillateOil - Small SourcesLow NOx Burner45%√*3,470B-17Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighProcess Heaters - DistillateOil - Small SourcesLow NOx Burner (LNB) + SelectiveCatalytic Reduction (SCR)92% 9,120√* X9,12015,350Process Heaters - LPG - SmallSourcesSelective Non-Catalytic Reduction(SNCR)60%√* X3,180Process Heaters - LPG - SmallSourcesLow NOx Burner (LNB) + SelectiveCatalytic Reduction (SCR)92% 9,120√* X9,12015,350Process Heaters - LPG - SmallSourcesLow NOx Burner (LNB) + SNCR78% 3,620√* X3,6203,830Process Heaters - LPG - SmallSourcesSelective Catalytic Reduction (SCR)75%√* X9,230Process Heaters - LPG - SmallSourcesUltra Low NOx Burner74%√*2,140Process Heaters - LPG - SmallSourcesLow NOx Burner45%√*3,470Process Heaters - LPG - SmallSourcesLow NOx Burner + Flue GasRecirculation48% 4,250√*4,25019,540Process Heaters - NaturalGas - Small SourcesUltra Low NOx Burner75%√*1,500Process Heaters - NaturalGas - Small SourcesLow NOx Burner50%√*2,200Process Heaters - NaturalGas - Small SourcesLow NOx Burner + Flue GasRecirculation55% 3,190√*3,19015,580B-18Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighProcess Heaters - NaturalGas - Small SourcesSelective Non-Catalytic Reduction(SNCR)60%√* X2,850Process Heaters - NaturalGas - Small SourcesSelective Catalytic Reduction (SCR)75%√* X12,040Process Heaters - NaturalGas - Small SourcesLow NOx Burner (LNB) + SelectiveCatalytic Reduction (SCR)88% 11,560√* X11,56027,910Process Heaters - NaturalGas - Small SourcesLow NOx Burner (LNB) + SNCR80% 3,520√* X3,5206,600Process Heaters - Other Fuel -Small SourcesLow NOx Burner (LNB) + SNCR75% 2,230√* X2,3002,860Process Heaters - Other Fuel -Small SourcesSelective Catalytic Reduction (SCR)75%√* X5,350Process Heaters - Other Fuel -Small SourcesUltra Low NOx Burner73%√*1,290Process Heaters - Other Fuel -Small SourcesSelective Non-Catalytic Reduction(SNCR)60%√* X1,930Process Heaters - Other Fuel -Small SourcesLow NOx Burner37%√*2,520Process Heaters - Other Fuel -Small SourcesLow NOx Burner + Flue GasRecirculation34%√*3,490Process Heaters - Other Fuel -Small SourcesLow NOx Burner (LNB) + SelectiveCatalytic Reduction (SCR)91% 5,420√* X5,4207,680B-19Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighProcess Heaters - ProcessGas - Small SourcesLow NOx Burner (LNB) + SelectiveCatalytic Reduction (SCR)88% 11,560√* X11,56027,910Process Heaters - ProcessGas - Small SourcesLow NOx Burner + Flue GasRecirculation55% 1,430√*3,1903,190Process Heaters - ProcessGas - Small SourcesSelective Non-Catalytic Reduction(SNCR)60%√* X2,850Process Heaters - ProcessGas - Small SourcesUltra Low NOx Burner75%√*1,500Process Heaters - ProcessGas - Small SourcesSelective Catalytic Reduction (SCR)75%√* X12,040Process Heaters - ProcessGas - Small SourcesLow NOx Burner (LNB) +SelectiveReduction SNCR80% 3,520√* X3,5206,600Process Heaters - ProcessGas - Small SourcesLow NOx Burner50%√*2,200Process Heaters - ResidualOil - Small SourcesLow NOx Burner (LNB) + SelectiveCatalytic Reduction (SCR)91% 5,420√* X5,4207,680Process Heaters - ResidualOil - Small SourcesSelective Catalytic Reduction (SCR)75%√* X5,350Process Heaters - ResidualOil - Small SourcesLow NOx Burner (LNB) + SCR75% 2,230√* X2,3002,860Process Heaters - ResidualOil - Small SourcesUltra Low NOx Burner73%√*1,290B-20Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighProcess Heaters - ResidualOil - Small SourcesSelective Non-Catalytic Reduction(SNCR)60%√* X1,930Process Heaters - ResidualOil - Small SourcesLow NOx Burner37%√*2,520Process Heaters - ResidualOil - Small SourcesLow NOx Burner + Flue GasRecirculation34%√*3,490Residential Natural Gas Water Heater Replacement7%√*N/AResidential Natural Gas Water Heater + LNB Space Heaters7%√*1,230Rich-Burn StationaryReciprocating InternalCombustion EnginesNon-selective catalytic reduction90%√*342Rich-Burn StationaryReciprocating InternalCombustion EnginesNon-selective catalytic reduction90%√*342Rich-Burn StationaryReciprocating InternalCombustion Engines (RICE)Non-selective catalytic reduction(NSCR)90%√*√ √342Sand/Gravel; Dryer - SmallSourcesLow NOx Burner + Flue GasRecirculation55% 1,430√*3,1903,190Secondary AluminumProduction; Smelting FurnacesLow NOx Burner50%√*570Solid Waste Disposal;Government; OtherSelective Non-Catalytic Reduction(SNCR)45%√* X1,130B-21Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighSpace Heaters - Distillate Oil -Small SourcesLow NOx Burner50%√*1,180Space Heaters - Distillate Oil -Small SourcesSelective Non-Catalytic Reduction(SNCR)50% 3,470√* X4,6404,640Space Heaters - Distillate Oil -Small SourcesSelective Catalytic Reduction (SCR)80% 2,780√* X2,7803,570Space Heaters - Distillate Oil -Small SourcesLow NOx Burner + Flue GasRecirculation60% 1,090√*2,4902,490Space Heaters - Natural Gas -Small SourcesSelective Non-Catalytic Reduction(SNCR)50% 2,900√* X3,8703,870Space Heaters - Natural Gas -Small SourcesSelective Catalytic Reduction (SCR)80% 2,230√* X2,2302,860Space Heaters - Natural Gas -Small SourcesOxygen Trim + Water Injection65%√*680Space Heaters - Natural Gas -Small SourcesLow NOx Burner + Flue GasRecirculation60% 2,470√*2,5602,560Space Heaters - Natural Gas -Small SourcesLow NOx Burner50%√*820Starch Manufacturing;Combined Operation - SmallSourcesLow NOx Burner + Flue GasRecirculation55% 1,430√*3,1903,190Steel Foundries; Heat Treating Low NOx Burner50%√*570B-22Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighSteel Production; Soaking Pits Low NOx Burner + Flue GasRecirculation60% 250√*750750Sulfate Pulping - RecoveryFurnaces - Small SourcesLow NOx Burner + Flue GasRecirculation60% 2,470√*2,5602,560Sulfate Pulping - RecoveryFurnaces - Small SourcesSelective Catalytic Reduction (SCR)80% 2,230√* X2,2302,860Sulfate Pulping - RecoveryFurnaces - Small SourcesLow NOx Burner50%√*820Sulfate Pulping - RecoveryFurnaces - Small SourcesSelective Non-Catalytic Reduction(SNCR)50% 2,900√* X3,8703,870Sulfate Pulping - RecoveryFurnaces - Small SourcesOxygen Trim + Water Injection65%√*680Surface Coat Oper; CoatingOven Htr; Nat Gas - SmallSourcesLow NOx Burner50%√* X2,200Utility Boiler - Coal/Tangential Low NOx Coal-and-Air Nozzles withClose-Coupled and SeparatedOverfire Air (LNC3)58%√*N/AUtility Boiler - Coal/Tangential Low NOx Coal-and-Air Nozzles withcross-Coupled Overfire Air (LNC1)43%√*N/AUtility Boiler - Coal/Tangential Low NOx Coal-and-Air Nozzles withseparated Overfire Air (LNC2)48%√*N/AUtility Boiler - Coal/Tangential Low NOx Coal-and-Air Nozzles withClose-Coupled and SeparatedOverfire Air (LNC3)53%√*N/AB-23Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighUtility Boiler - Coal/Tangential Low NOx Coal-and-Air Nozzles withseparated Overfire Air (LNC2)38%√*N/AUtility Boiler - Coal/Tangential Low NOx Coal-and-Air Nozzles withcross-Coupled Overfire Air (LNC1)33%√*N/AUtility Boiler - Coal/Tangential Selective Catalytic Reduction (SCR)90%(Hg 95%)√* X√N/AUtility Boiler - Coal/Tangential Selective Non-Catalytic Reduction(SNCR)35%√* XN/AUtility Boiler - Coal/Tangential Natural Gas Reburn (NGR)50%√*N/AUtility Boiler - Coal/Wall Low NOx Burner with Overfire Air56%√*N/AUtility Boiler - Coal/Wall Low NOx Burner with Overfire Air55%√*N/AUtility Boiler - Coal/Wall Low NOx Burner without Overfire Air40%√*N/AUtility Boiler - Coal/Wall Low NOx Burner without Overfire Air41√*N/AUtility Boiler - Coal/Wall Selective Non-Catalytic Reduction(SNCR)35%√* XN/AUtility Boiler - Coal/Wall Selective Catalytic Reduction (SCR)90%√* XN/AB-24Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighUtility Boiler - Coal/Wall Natural Gas Reburn (NGR)50%√*N/AUtility Boiler - Cyclone Natural Gas Reburn (NGR)50%√*N/AUtility Boiler - Cyclone Selective Non-Catalytic Reduction(SNCR)35%√* XN/AUtility Boiler - Cyclone Selective Catalytic Reduction (SCR)80%√* XN/AUtility Boiler - OilGas/TangentialSelective Non-Catalytic Reduction(SNCR)50%√* XN/AUtility Boiler - OilGas/TangentialNatural Gas Reburn (NGR)50%√*N/AUtility Boiler - OilGas/TangentialSelective Catalytic Reduction (SCR)80%√* XN/AUtility Boiler - Oil-Gas/Wall Selective Non-Catalytic Reduction(SNCR)50%√* XN/AUtility Boiler - Oil-Gas/Wall Natural Gas Reburn (NGR)50%√*N/AUtility Boiler - Oil-Gas/Wall Selective Catalytic Reduction (SCR)80%√* XN/AAgricultural Burning Bale Stack/Propane Burning49% 63% 63%√*√ √√2,591B-25Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighAgricultural Tilling Soil Conservation Plans11.7%√ √√√138Asphalt Manufacture CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Asphalt Manufacture Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Asphalt Manufacture Paper/Nonwoven Filters - CartridgeCollector Type99% 85√*√ √√147256Asphalt Manufacture Fabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Asphalt Manufacture Fabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Asphalt Manufacture Fabric Filter (Pulse Jet Type)99% 42√*√ √√117266Beef Cattle Feedlots Watering50%√*√ √√307Chemical Manufacture Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Chemical Manufacture CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Chemical Manufacture Wet ESP - Wire Plate Type99% 55√*√ √√220550B-26Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighCommercial InstitutionalBoilers - CoalCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Commercial InstitutionalBoilers - CoalIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Commercial InstitutionalBoilers - CoalFabric Filter (Pulse Jet Type)99% 42√*√ √√117266Commercial InstitutionalBoilers - CoalFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Commercial InstitutionalBoilers - CoalDry ESP-Wire Plate Type98% 40√*√ √√110250Commercial InstitutionalBoilers - Natural GasIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Commercial InstitutionalBoilers - OilIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Commercial InstitutionalBoilers - OilCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Commercial InstitutionalBoilers - OilDry ESP-Wire Plate Type98% 40√*√ √√110250Commercial InstitutionalBoilers - Solid WasteIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Commercial InstitutionalBoilers - Solid WasteCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200B-27Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighCommercial InstitutionalBoilers - WoodCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Commercial InstitutionalBoilers - WoodIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Commercial InstitutionalBoilers - Wood/BarkDry ESP-Wire Plate Type90% 40√*√ √√110250Commercial InstitutionalBoilers - Wood/BarkFabric Filter (Reverse-Air CleanedType)80% 53√*√ √√148337Commercial InstitutionalBoilers - Wood/BarkFabric Filter (Pulse Jet Type)80% 42√*√ √√117266Construction Activities Dust Control Plan62.5%√*√ √√3,600Conveyorized Charbroilers Catalytic Oxidizer80% 83% 90%√*√√ √√*2,966Conveyorized Charbroilers ESP for Commercial Cooking99% 99% 99%√*√ √√*7,000Electric Generation - Coke Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Electric Generation - Coke CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Electric Generation - Bagasse Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620B-28Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighElectric Generation - Bagasse CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Electric Generation - Coal CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Electric Generation - Coal Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Electric Generation - Coal Two plate ESP upgrade67%√ √√√*N/AElectric Generation - Coal Indigo Agglomerator40%√ √√√*N/AElectric Generation -Coal One plate ESPupgrade44%√ √√√*N/AElectric Generation - LiquidWasteCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Electric Generation - LiquidWasteIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Electric Generation - LPG CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Electric Generation - LPG Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Electric Generation - NaturalGasIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620B-29Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighElectric Generation - NaturalGasCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Electric Generation - Oil Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Electric Generation - Oil CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Electric Generation - SolidWasteIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Electric Generation - SolidWasteCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Electric Generation - Wood Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Electric Generation - Wood CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Fabricated Metal Products -Abrasive BlastingPaper/Nonwoven Filters - CartridgeCollector Type99% 85√*√ √√142256Fabricated Metal Products -WeldingPaper/Nonwoven Filters - CartridgeCollector Type99% 85√*√ √√142256Ferrous Metals Processing -CokeIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Ferrous Metals Processing -CokeCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200B-30Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighFerrous Metals Processing -CokeVenturi Scrubber93% 75√*√ √√7512,100Ferrous Metals Processing -CokeFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Ferrous Metals Processing -CokeFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Ferrous Metals Processing -Ferroalloy ProductionIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Ferrous Metals Processing -Ferroalloy ProductionCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Ferrous Metals Processing -Ferroalloy ProductionDry ESP-Wire Plate Type98% 40√*√ √√110250Ferrous Metals Processing -Ferroalloy ProductionFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Ferrous Metals Processing -Ferroalloy ProductionFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Ferrous Metals Processing -Gray Iron FoundriesFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Ferrous Metals Processing -Gray Iron FoundriesIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Ferrous Metals Processing -Gray Iron FoundriesCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200B-31Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighFerrous Metals Processing -Gray Iron FoundriesImpingement-Plate Scrubber64% 46√*√ √√4311,200Ferrous Metals Processing -Gray Iron FoundriesVenturi Scrubber94% 76√*√ √√7512,100Ferrous Metals Processing -Gray Iron FoundriesFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Ferrous Metals Processing -Iron & Steel ProductionCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Ferrous Metals Processing -Iron & Steel ProductionIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Ferrous Metals Processing -Iron and Steel ProductionSinter Cooler99%√ √√√*5,000Ferrous Metals Processing -Iron and Steel ProductionCapture Hood Vented to a Baghouse85%√ √√√*N/AFerrous Metals Processing -Iron and Steel ProductionSecondary Capture and ControlSystem85%√ √√√*N/AFerrous Metals Processing -Iron and Steel ProductionFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Ferrous Metals Processing -Iron and Steel ProductionFabric Filter (Pulse Jet Type)99% 42√*√ √√117266Ferrous Metals Processing -Iron and Steel ProductionWet ESP - Wire Plate Type99% 55√*√ √√220550B-32Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighFerrous Metals Processing -Iron and Steel ProductionDry ESP-Wire Plate Type98% 40√*√ √√110250Ferrous Metals Processing -Iron and Steel ProductionVenturi Scrubber73% 76√*√ √√7512,100Ferrous Metals Processing -Iron and Steel ProductionFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Ferrous Metals Processing -OtherIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Ferrous Metals Processing -OtherCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Ferrous Metals Processing -Steel FoundriesCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Ferrous Metals Processing -Steel FoundriesIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Ferrous Metals Processing -Steel FoundriesVenturi Scrubber73% 76√*√ √√7512,100Ferrous Metals Processing -Steel FoundriesFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Ferrous Metals Processing -Steel FoundriesFabric Filter (Pulse Jet Type)99% 42√*√ √√117266Ferrous Metals Processing -Steel FoundriesFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303B-33Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighGrain Milling Fabric Filter (Pulse Jet Type)99% 42√*√ √√117266Grain Milling Paper/Nonwoven Filters - CartridgeCollector Type99% 85√*√ √√142256Grain Milling Fabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Highway Vehicles - GasolineEngineRFG and High Enhanced I/MProgram-9.1% 11.4% 31.9% 484√ √*√16,164Highway Vehicles - Heavy DutyDiesel EnginesVoluntary Diesel Retrofit Program:Diesel Particulate Filter61.99%√*√√ √√727,689Highway Vehicles - Heavy DutyDiesel EnginesVoluntary Diesel Retrofit Program:Diesel Oxidation Catalyst24.01%√*√√ √√167,640Highway Vehicles - Heavy DutyDiesel EnginesVoluntary Diesel Retrofit Program:Biodiesel Fuel7%√*√ √√209,913Industrial Boilers - Coal CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Industrial Boilers - Coal Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Industrial Boilers - Coal Venturi Scrubber82% 76√*√ √√7512,100Industrial Boilers - Coal Fabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337B-34Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighIndustrial Boilers - Coal Dry ESP-Wire Plate Type98% 40√*√ √√110250Industrial Boilers - Coal Fabric Filter (Pulse Jet Type)99% 42√*√ √√117266Industrial Boilers - Coke Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Industrial Boilers - Coke CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Industrial Boilers - Liquid Waste Dry ESP-Wire Plate Type98% 40√*√ √√110250Industrial Boilers - Oil CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Industrial Boilers - Oil Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Industrial Boilers - Oil Dry ESP-Wire Plate Type98% 40√*√ √√110250Industrial Boilers - Oil Venturi Scrubber92% 76√*√ √√7512,100Industrial Boilers - Solid Waste Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Industrial Boilers - Solid Waste CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200B-35Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighIndustrial Boilers - Wood CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Industrial Boilers - Wood Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Industrial Boilers - Wood Venturi Scrubber93% 76√*√ √√7512,100Industrial Boilers - Wood Fabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Industrial Boilers - Wood Dry ESP-Wire Plate Type98% 40√*√ √√110250Industrial Boilers - Wood Fabric Filter (Pulse Jet Type)99% 42√*√ √√117266Mineral Products - CementManufactureIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Mineral Products - CementManufactureCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Mineral Products - CementManufactureFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Mineral Products - CementManufactureFabric Filter (Pulse Jet Type)99% 42√*√ √√117266Mineral Products - CementManufactureDry ESP-Wire Plate Type98% 40√*√ √√110250B-36Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighMineral Products - CementManufacturePaper/Nonwoven Filters - CartridgeCollector Type99% 85√*√ √√142256Mineral Products - CementManufactureFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Mineral Products - CoalCleaningIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Mineral Products - CoalCleaningCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Mineral Products - CoalCleaningVenturi Scrubber99% 76√*√ √√7512,100Mineral Products - CoalCleaningPaper/Nonwoven Filters - CartridgeCollector Type99% 85√*√ √√142256Mineral Products - CoalCleaningFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Mineral Products - CoalCleaningFabric Filter (Pulse Jet Type)99% 42√*√ √√117266Mineral Products - CoalCleaningFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Mineral Products - Other Increased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Mineral Products - Other CEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200B-37Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighMineral Products - Other Fabric Filter (Pulse Jet Type)99% 42√*√ √√117266Mineral Products - Other Wet ESP - Wire Plate Type99% 55√*√ √√220550Mineral Products - Other Paper/Nonwoven Filters - CartridgeCollector Type99% 85√*√ √√145256Mineral Products - Other Fabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Mineral Products - Other Fabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Mineral Products - Other Dry ESP-Wire Plate Type98% 40√*√ √√110250Mineral Products - StoneQuarrying & ProcessingCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Mineral Products - StoneQuarrying & ProcessingIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Mineral Products - StoneQuarrying and ProcessingDry ESP-Wire Plate Type98% 40√*√ √√110250Mineral Products - StoneQuarrying and ProcessingFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Mineral Products - StoneQuarrying and ProcessingFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337B-38Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighMineral Products - StoneQuarrying and ProcessingPaper/Nonwoven Filters - CartridgeCollector Type99% 85√*√ √√142256Mineral Products - StoneQuarrying and ProcessingWet ESP - Wire Plate Type99% 55√*√ √√220550Mineral Products - StoneQuarrying and ProcessingVenturi Scrubber95% 76√*√ √√7512,100Mineral Products - StoneQuarrying and ProcessingFabric Filter (Pulse Jet Type)99% 42√*√ √√117266Municipal Waste Incineration Dry ESP-Wire Plate Type98% 40√*√√110250Non-Ferrous MetalsProcessing - AluminumIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Non-Ferrous MetalsProcessing - AluminumCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Non-Ferrous MetalsProcessing - AluminumFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Non-Ferrous MetalsProcessing - AluminumFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Non-Ferrous MetalsProcessing - AluminumWet ESP - Wire Plate Type99% 55√*√ √√220550Non-Ferrous MetalsProcessing - AluminumDry ESP-Wire Plate Type98% 40√*√ √√110250B-39Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighNon-Ferrous MetalsProcessing - CopperIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Non-Ferrous MetalsProcessing - CopperCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Non-Ferrous MetalsProcessing - CopperFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Non-Ferrous MetalsProcessing - CopperWet ESP - Wire Plate Type99% 55√*√ √√220550Non-Ferrous MetalsProcessing - CopperFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Non-Ferrous MetalsProcessing - CopperDry ESP-Wire Plate Type98% 40√*√ √√110250Non-Ferrous MetalsProcessing - LeadCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Non-Ferrous MetalsProcessing - LeadIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Non-Ferrous MetalsProcessing - LeadFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Non-Ferrous MetalsProcessing - LeadWet ESP - Wire Plate Type99% 55√*√ √√220550Non-Ferrous MetalsProcessing - LeadDry ESP-Wire Plate Type98% 40√*√ √√110250B-40Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighNon-Ferrous MetalsProcessing - LeadFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Non-Ferrous MetalsProcessing - OtherIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Non-Ferrous MetalsProcessing - OtherCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Non-Ferrous MetalsProcessing - OtherFabric Filter (Mech. Shaker Type)99% 37√*√ √√1,260303Non-Ferrous MetalsProcessing - OtherFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Non-Ferrous MetalsProcessing - OtherWet ESP - Wire Plate Type99% 55√*√ √√220550Non-Ferrous MetalsProcessing - OtherDry ESP-Wire Plate Type98% 40√*√ √√110250Non-Ferrous MetalsProcessing - ZincCEM Upgrade and IncreasedMonitoring Frequency of PMControls7.7%√*√*5,200Non-Ferrous MetalsProcessing - ZincIncreased Monitoring Frequency(IMF) of PM Controls6.5%√*√ √√*620Non-Ferrous MetalsProcessing - ZincFabric Filter (Mech. Shaker Type)99% 37√*√ √√126303Non-Ferrous MetalsProcessing - ZincDry ESP-Wire Plate Type98% 40√*√ √√110250B-41Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighNon-Ferrous MetalsProcessing - ZincFabric Filter (Reverse-Air CleanedType)99% 53√*√ √√148337Non-Ferrous MetalsProcessing - ZincWet ESP - Wire Plate Type99% 55√*√ √√220550Nonroad Diesel Engines Heavy Duty Retrofit Program1%√*√ √√9,500Paved Roads Vacuum Sweeping50.5%√*√ √√485Prescribed Burning Increase Fuel Moisture50%√*√ √√2,617Residential Home Heating Switch to Low Sulfur Fuel75%√*√ √√*2,350Residential Wood Combustion Education and Advisory Program50%√*√ √√1,320Residential Wood Stoves NSPS compliant Wood Stoves98%√*√*2,000Unpaved Roads Hot Asphalt Paving67.5%√*√ √√537Unpaved Roads Chemical Stabilization37.5%√*√√2,753Utility Boilers - Coal Dry ESP-Wire Plate Type(Hg 3%)98%(Hg 20%) (Hg 36%)40√*√√ √√110250B-42Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighUtility Boilers - Coal Fabric Filter (Mech. Shaker Type)99.5% 37√*√√ √√126303Utility Boilers - Coal Fabric Filter (Pulse Jet Type)99% 42√*√√ √√117266Utility Boilers - Coal Fabric Filter95%(Hg 80%)√*√√ √√N/AUtility Boilers - Coal Fabric Filter (Reverse-Air CleanedType)99% 53√*√√ √√148337Utility Boilers - Gas/Oil Fabric Filter95%√*√√ √√N/AWood Pulp & Paper WetESP - Wire Plate Type99% 55√*√ √√220550Wood Pulp & Paper Dry ESP-Wire Plate Type98% 40√*√ √√110250Bituminous/Subbituminous Coal Flue Gas Desulfurization90%√*N/ABituminous/Subbituminous Coal Flue Gas Desulfurization90%√*N/ABituminous/SubbituminousCoal (Industrial Boilers)Spray Dryer Absorber90% 804√*1,3411,973Bituminous/SubbituminousCoal (Industrial Boilers)In-duct Dry Sorbent Injection40% 1,111√*1,5262,107B-43Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighBituminous/SubbituminousCoal (Industrial Boilers)Wet Flue Gas Desulfurization90% 1,027√*1,5361,980By-Product Coke Manufacturing Vacuum Carbonate Plus SulfurRecovery Plant90%√*N/AInorganic ChemicalManufacture OperationsFlue Gas Desulfurization90%√*N/AIn-process Fuel Use -Bituminous CoalFlue Gas Desulfurization90%√*N/ALignite (Industrial Boiler) In-duct Dry Sorbent Injection40% 1,111√*1,5262,107Lignite (Industrial Boiler) Spray Dryer Absorber90% 804√*1,3411,973Lignite (Industrial Boiler) Wet Flue Gas Desulfurization90% 1,027√*1,5361,980Lignite (Industrial Boilers) Flue Gas Desulfurization90%√*N/AMineral Products Industry Flue Gas Desulfurization90%√*N/APetroleum Industry Flue Gas Desulfurization (FGD)90%√*N/APrimary Lead Smelters -SinteringDual Absorption99%√*N/AB-44Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighPrimary Metals Industry Flue Gas Desulfurization90%√*N/APrimary Zinc Smelters -SinteringDual Absorption99%√*N/AProcess Heaters (Oil and GasProduction)Flue Gas Desulfurization90%√*N/APulp and Paper Industry(Sulfate Pulping)Flue Gas Desulfurization90%√*N/AResidual Oil(Commercial/InstitutionalBoilers)Wet Flue Gas Desulfurization90% 2,295√*3,4894,524Residual Oil(Commercial/InstitutionalBoilers)Flue Gas Desulfurization90%√*N/AResidual Oil (Industrial Boilers Flue Gas Desulfurization90%√*N/ASecondary Metal Production Flue Gas Desulfurization90%√*N/ASteam Generating Unit-Coal/Oil Flue Gas Desulfurization90%√*N/ASulfur Recovery Plants -Elemental SulfurAmine Scrubbing + Flue GasDesulfurization99.8%√*N/ASulfur Recovery Plants -Elemental SulfurAmine Scrubbing + Flue GasDesulfurization99.7%√*N/AB-45Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighSulfur Recovery Plants -Elemental SulfurAmine Scrubbing98.4%√*N/ASulfur Recovery Plants -Elemental SulfurAmine Scrubbing97.8%√*N/ASulfur Recovery Plants -Elemental SulfurAmine Scrubbing + Flue GasDesulfurization99.8%√*N/ASulfur Recovery Plants -Elemental SulfurAmine Scrubbing97.1%√*N/ASulfuric Acid Plants - ContactAbsorbersIncrease Absorption Efficiency fromExisting to NSPS Level (99.7%) +Flue Gas Desulfurization75%√*N/ASulfuric Acid Plants - ContactAbsorbersIncrease Absorption Efficiency fromExisting to NSPS Level (99.7%)95%√*N/ASulfuric Acid Plants - ContactAbsorbersIncrease Absorption Efficiency fromExisting to NSPS Level (99.7%) +Flue Gas Desulfurization90%√*N/ASulfuric Acid Plants - ContactAbsorbersIncrease Absorption Efficiency fromExisting to NSPS Level (99.7%)90%√*N/ASulfuric Acid Plants - ContactAbsorbersIncrease Absorption Efficiency fromExisting to NSPS Level (99.7%)85%√*N/ASulfuric Acid Plants - ContactAbsorbersIncrease Absorption Efficiency fromExisting to NSPS Level (99.7%) +Flue Gas Desulfurization95%√*N/ASulfuric Acid Plants - ContactAbsorbersIncrease Absorption Efficiency fromExisting to NSPS Level (99.7%)75%√*N/AB-46Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighSulfuric Acid Plants - ContactAbsorbersFlue Gas Desulfurization90%√*N/ASulfuric Acid Plants - ContactAbsorbersIncrease Absorption Efficiency fromExisting to NSPS Level (99.7%) +Flue Gas Desulfurization85%√*N/AUtility Boilers - Coal-Fired Repowering to IGCC99%√ √*√N/AUtility Boilers - Coal-Fired Coal Washing40% 70√ √*√√320563Utility Boilers - Coal-Fired Fuel Switching - High-Sulfur Coal toLow-Sulfur Coal60% 113√ √*√140167Utility Boilers - High SulfurContentFlue Gas Desulfurization (WetScrubber Type)(Hg 29%)90%(Hg 64%) (Hg 98%)√*√N/AUtility Boilers - Medium SulfurContentFlue Gas Desulfurization (WetScrubber Type)(Hg 29%)90%(Hg 64%) (Hg 98%)√*√N/AUtility Boilers - Very High SulfurContentFlue Gas Desulfurization (WetScrubber Type)90%√*√N/AAdhesives - Industrial SCAQMD Rule 116873%√*2,202Aircraft Surface Coating MACT Standard60%√*165Architectural Coatings OTC AIM Coating Rule55%√*6,628B-47Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighArchitectural Coatings AIM Coating Federal Rule20%√*228Architectural Coatings South Coast Phase I34% 3,300√*1,4434,600Architectural Coatings South Coast Phase III73%√*10,059Architectural Coatings South Coast Phase II47%√*4,017AREA OTC Mobile Equipment Repair andRefinishing Rule61%√*2,534AREA OTC Mobile Equipment Repair andRefinishing Rule61%√*2,534AREA OTC Solvent Cleaning Rule66%√*1,400AREA OTC Consumer Products Rule39.2%√*1,032AREA OTC Mobile Equipment Repair andRefinishing Rule61%√*2,534AREA OTC Mobile Equipment Repair andRefinishing Rule61%√*2,534AREA OTC Consumer Products Rule39.2%√*1,032B-48Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighAutomobile Refinishing California FIP Rule (VOC content &TE)89%√*7,200Automobile Refinishing CARB BARCT Limits47%√*750Automobile Refinishing Federal Rule37%√*118Bakery Products Incineration >100,000 lbs bread39.9%√*1,470Commercial Adhesives Federal Consumer Solvents Rule25%√*232Commercial Adhesives CARB Long-Term Limits85%√*2,880Commercial Adhesives CARB Mid-Term Limits55%√*2,192Consumer Solvents CARB Mid-Term Limits55%√*2,192Consumer Solvents Federal Consumer Solvents Rule25%√*232Consumer Solvents CARB Long-Term Limits85%√*2,880Cutback Asphalt Switch to Emulsified Asphalts100%√*15B-49Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighElectrical/Electronic Coating SCAQMD Rule70%√*5,976Electrical/Electronic Coating MACT Standard36%√*5,000Fabric Printing, Coating andDyeingPermanent Total Enclosure (PTE)97%√*N/AFlexographic Printing Permanent Total Enclosure (PTE)95√*9,947Graphic Arts Use of Low or No VOC Materials65% 3,500√*4,1504,800Highway Vehicles - GasolineEngineFederal Reformulated Gasoline(RFG)0% 7.65% 15.3% 2,498X√*√25,093Highway Vehicles - Light DutyGasoline EnginesBasic Inspection and MaintenanceProgramNA√ √√*√√√√N/AIndustrial Maintenance Coating South Coast Phase III73%√*10,059Industrial Maintenance Coating AIM Coating Federal Rule20%√*228Industrial Maintenance Coating South Coast Phase I34% 3,300√*1,4434,600Industrial Maintenance Coating South Coast Phase II47%√*4,017B-50Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighMachinery, Equipment, andRailroad CoatingSCAQMD Limits55.2%√*2,027Marine Surface Coating(Shipbuilding)Add-On Controls90%√*8,937Marine Surface Coating(Shipbuilding)MACT Standard24%√*2,090Metal Can Surface CoatingOperationsPermanent Total Enclosure (PTE)95√*8,469Metal Coil & Can Coating MACT Standard36%√*1,000Metal Coil & Can Coating Incineration90%√*8,937Metal Coil & Can CoatingBAAQMD Rule 11 Amended42%√*2,007Metal Furniture SurfaceCoating OperationsPermanent Total Enclosure (PTE)95√*19,321Metal Furniture, Appliances,PartsSCAQMD Limits55.2%√*2,027Metal Furniture, Appliances,PartsMACT Standard36%√*1,000Miscellaneous Metal ProductsCoatingsMACT Standard36%√*1,000B-51Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighMotor Vehicle Coating Incineration90%√*8,937Motor Vehicle Coating MACT Standard36%√*118Municipal Solid Waste Landfill Gas Collection (SCAQMD/BAAQMD)70%√*700Nonroad Gasoline Engines Federal Reformulated Gasoline1.4% 440√*4,8549,250Off-Highway Vehicles: AllTerrain Vehicles (ATVs)Recreational Gasoline ATVStandards33% 64% 95%√ √√*√√N/AOff-Highway Vehicles: AllTerrain Vehicles (ATVs)Recreational Gasoline ATVStandards27% 40% 73%√ √√*√√N/AOff-Highway Vehicles: AllTerrain Vehicles (ATVs)Recreational Gasoline ATVStandards14% 24% 34%√ √√*√√N/AOff-Highway Vehicles: AllTerrain Vehicles (ATVs)Recreational Gasoline ATVStandards33% 65% 97%√ √√*√√N/AOff-Highway Vehicles:MotorcyclesRecreational Gasoline Off-HighwayMotorcycle Standards12% 32% 52%√ √√*√√N/AOff-Highway Vehicles:MotorcyclesRecreational Gasoline Off-HighwayMotorcycle Standards5% 12.5% 20%√ √√*√√N/AOff-Highway Vehicles:MotorcyclesRecreational Gasoline Off-HighwayMotorcycle Standards10% 25% 40%√ √√*√√N/AB-52Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighOff-Highway Vehicles:MotorcyclesRecreational Gasoline Off-HighwayMotorcycle Standards12% 31% 50%√ √√*√√N/AOff-Highway Vehicles:SnowmobilesRecreational Gasoline SnowmobileStandards62%√X√*√√N/AOff-Highway Vehicles:SnowmobilesRecreational Gasoline SnowmobileStandards20%√X√*√√N/AOff-Highway Vehicles:SnowmobilesRecreational Gasoline SnowmobileStandards69%√X√*√√N/AOff-Highway Vehicles:SnowmobilesRecreational Gasoline SnowmobileStandards45%√X√*√√N/AOil and Natural Gas Production Equipment and Maintenance37%√*317Oil and Natural GasProduction - Fugitive EmissionsSCAQMD Proposed Rule 1148.1 -Fugitive Emissions14%√*2,483Open Top Degreasing SCAQMD 1122 (VOC content limit)76%√*1,248Open Top Degreasing Title III MACT Standard31%√*-69Open Top Degreasing Airtight Degreasing System98%√*9,789Paper and other Web CoatingOperationsPermanent Total Enclosure (PTE)95√*1,503B-53Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighPaper Surface Coating Incineration78%√*4,776Pesticide Application Reformulation - FIP Rule20%√*9,300Portable Gasoline Containers OTC Portable Gas Container Rule33%√*581Product and PackagingRotogravure and ScreenPrintingPermanent Total Enclosure (PTE)95√*12,770Publication RotogravurePrintingPermanent Total Enclosure (PTE)95√*2,422Rubber and PlasticsManufacturingSCAQMD - Low VOC60%√*1,020Stage II Service Stations Low Pressure/Vacuum Relief Valve91.6% 930√*1,0801,230Stage II Service Stations -Underground TanksLow Pressure/Vacuum Relief Valve73% 930√*1,0801,230Traffic Markings South Coast Phase III73%√*1,059Traffic Markings AIM Coating Federal Rule20%√*228Traffic Markings South Coast Phase I34% 8,600√*1,44312,800B-54Source Category Control Measure NamePollutant(s) AffectedLow Typical HighAverage Annual CostEffectivenessControlEfficiency($/ton primary pollutant)√= pollutant reductio, X = pollutant increase, * = major pollutantPM10 EC OC NOx VOC SO2 NH3 CO HgPM2.5(% from baseline)Low Typical HighTraffic Markings South Coast Phase II47%√*4,017Wood Furniture SurfaceCoatingNew CTG47% 462√*96722,100Wood Furniture SurfaceCoatingAdd-On Controls67% 75% 98% 468√*20,00022,100Wood Furniture SurfaceCoatingMACT Standard30%√*446Wood Product Surface Coating Incineration86%√*4,202Wood Product Surface Coating SCAQMD Rule 110453%√*881Wood Product Surface Coating MACT Standard30%√*446B-55PECHAN Ma y 2006

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# AP P ENDI X C: ONROAD M OBI LE CONTROL M EAS URESPECHAN Ma y 2006

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## [This page intentional ly left blank.]PECHAN Ma y 2006

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### C -1 

## IN TR OD UC TIO N

The foc us of AirControlNET ha s primarily been to e valuate c ontrol measure s for stationar y

source s (i.e., EGU s, nonEGUs, and a rea source s) and e stimate emissions reduction and the associate d costs. Howeve r, in order to ga in a more c omplete picture of ava ilable control

measure s for policy

considera

tion and for c onducting “wha t if” sce narios we found it nece ssary to i nc lud e c on tr ol m e a su re s a va ila ble fo r o nr oa d a

nd no nr oa d mo bil e so ur c e s. Th us , th e pu rp os e of thi s a pp e nd ix is to do c ume nt t

he de ve lop me nt a

nd imp le me ntatio n o f a

c a pa bil ity wi thi n AirControlNET to eva luate onroa d mobile source c ontrol measure s, i.e., estimate emission reduc tions and costs from a ba seline emissions inventory . For onroad mobile sourc es, we

c on du c te d mo de l si mul a tio ns of MO B I L E 6 .2 to d e ve lop c on tr ol m e a su re da ta fo r i nc lus ion

int o AirControlNET. This initial effort f ocused on inc luding only data a ssociated with the implementation of the following three prog rams for the y ear s 2010, 2020, and 2030:

1) Tier 2/Gasoline Sulfur F inal Rulemaking (Provide F eder al Reg ister citation from 2/10/2000

a nd pla c e in r e fe re nc e s)

2) He avy Duty Diesel Eng ine and F uel Standards ( provide F eder al Reg ister citation from 1/1 8/2 00 1 a

nd pla c e in r e fe re nc e s)

3) Voluntary

Diesel Retrof

it prog rams(i.e ., particula te filters, oxidation cataly st, SC R, and bio die se l f

ue l)

I n order to develop additional mobile source inputs using the methods desc ribed be low, the MO B I L E 6 .2 mod e l w ou ld n e e d to be ru n to e sti ma te the e mis sio ns re du c tio ns . E PA i s c ur re ntl y developing the National Mobile I nventory Model (NMI M) which is a c onsolidated emissions modeling sy stem for mobile and nonr oad emissions inventory development. I t is ex pecte d that at some time in the future, N MI M will replace these models. Howe ver, a s curr ently config ured, AirControlNET is not connec ted to NMI M..

This appendix begins with a de tailed example for the T ier 2 prog ram to illustrate the da ta and methods used in developing the emission reduc tions and costs associate d with the control strateg y . This example is followed by an over view of the steps and assumptions made for estimating the se data

for the T ier 2 Rulemaking , HD Eng ine/Fue l Standards, and Voluntar y Di e se l r e tr of

it p ro g ra ms. F utu re e ff or ts a re e xpe c te d to inc or

po ra te a dd iti on a l f

e de ra l pr og ra

ms

as we ll as other contr ol options t hat ar e tec hnically fea sible to achieve criter ia air pollutant reduc tions from onroad mobile sourc es now a nd in the future.

TIER 2 EX AM P LE

This example is i ncluded in orde r to illustrate the steps followed in de veloping emissions

re du c tio ns a nd

c os ts f or e a c h o f t he on ro a d c on tr ol m e a su re s. Th e ne c e ssa ry ste ps a re a s f

oll ow s:

1) Pick a re prese ntative sce nario c ondition (e.g ., tempera ture, RVP, speed, e tc.).PECHAN Ma y 2006

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### C -2 

## 2) Ca lc ulate MO B I L E6 .2 e mis sio n f a c tor s f or the ba se y e a r ( 19 99 ) b y

mod e l y e a r a

nd ve hic le ty pe at the c onditions selected in Step 1. Using the def ault flee t information from MOB I L E6.2, calc ulate a w eig hted ave rag e emission fac tor for e ach ve hicle ty pe.

3) Calculate MOBI L E6.2 emission factor s by apply ing a

g iven emission standard or control

measure for e ach mode l y ear and vehic le ty

pe for all vehicle ty

pes that mig ht be af

fec ted by the

se le c te d c on tr ol m e a su re a t th e c on dit ion s se le c te d in Ste p 1 . T his mus t be mod e le d c a re fu lly so that e a c h o f t

he 25 mod e l y e a rs inc lud e d in the MO B I L E6 .2 ou tpu t a re mod e le d w ithfu ll implementation of the selec ted control mea sure.

4) De termine the de g ree of implementation of the ne w control mea sure ( e.g ., 25 perc ent of vehicles, simulate 2020 pha se-in, etc .).

5) Combine emission factors by model y ear

from Steps 2 and 3 such tha t the appropr iate model
y ear s or vehicle ag es re ceive the selec ted control mea sures. Using the def ault flee t information from MOB I L E6.2, ca lculate the w eig hted ave rag e emission fac tor for e ach a ffe cted ve hicle ty pe.

6) Calculate the per cent diff ere nce be tween the Step 5 weig hted ave rag e emission fac tor and the Step 2 weig hted ave rag e emission fac tor for e ach ve hicle ty pe.

7) Apply the per cent diff

ere nce e stimated in St ep 6 to the base line AirControlNET emissions at the c ou nty

/ve hic le ty

pe le ve l of

de ta il.

For this ex ample, in Step 1, the re prese ntative conditions selecte d wer e those ty pical of a summer day . A minimum daily

tempera ture of 70 F a

nd a maximum daily

tempera ture of 90 F we re o o 

## chosen. The RVP was set to 8.7 psi. This is the ty pical summertime RVP level, base d on the Pha se I I RV P r e g ulatio ns , f or a ma jor ity of the c ou ntr

y in 1 99 9. Sou the rn

no na tta inm e nt a

re a s, ref ormulated g asoline ar eas, a nd other a rea s implementing low RVP prog rams would have lower RVP levels. An aver ag e spee d of 35 mph on arte rial roa dway s was modeled.

Under Step 2, a MOB I L E6.2 input file was de veloped f or 1999 at the c onditions described a bove. This input file is shown in Figur e C-1.

After running MOBI L E6.2 with the input file shown in Fig ure C-1, the emission factors w ere ob ta ine d in

the da ta ba se ou tpu t f

or ma t. F or e a c h o f t he 25 mod e l y e a rs inc lud e d in the da ta ba se output file, two emission factors we re obta ined–one r epre senting the exhaust running e mission fac tor and one repr esenting the exhaust eng ine start emission fac tor. Both e mission factors ar e

x 

## expressed in g rams per

mile and ca

n be adde d for a

g iven model y ear

to obtain the total NO emission factor f

or that model y ear . These e mission factors we re totale d by model y ear , with the results shown in Table C-1. In Table C-1, the columns labeled mode l y ear , vehicle a g e, miles
trave led per

day , reg istration distributi on fra ction, and fue l economy are obtained dire ctly

from

x 

## the MOB I L E6.2 databa se output. The L DGV NO emission factor c olumn was obtained by adding the MOB I L E6.2 emission factor s for e x haust running and eng ine start emissions within a

x 

## model y ear . The c olumn labeled we ighte d NO emission factor w as ca lculated by multipl y ing

x 

## the L DGV NO emission factor by the miles travele d per da y and the r eg istration distributi on fra ction within the give n model y ear . The c olumn labeled we ighte d miles per day was c alculate dPECHAN Ma y 2006

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### C -3 

## a s th e pr od

uc t of the mil e s tr a ve le d p e r d a y a nd the re g ist ratio n d ist

ri bu tio n f ra c tio n. To ob ta in

x x 

## the composite 1999 base case L DGV NO emission factor, the sum of the weig hted NO emission factors w as divided by the sum of weig hted miles per da y . As shown in Table C-1, the

x 

## 1999 base c ase L DGV NO emission factor unde r the c onditions described a bove is 1.3075
g rams per mile.

Fi gu re C -1

. 1999 B ase C ase M OB IL E6.2 In pu t Fi le

To follow Step 3, a sec ond MOBI L E6.2 input file was pre pare d. This input file is si milar to that

s h o wn i n Fi gu re C -1

. T h e o n l y d i ff er en ce i s t h at s i x s ce n ar i o s we re i n cl u d ed
, ea ch m o d el i n g a differ ent ca lendar

y ear . The c alenda

r y ear s modeled we re 2007, 2010, 2020, 2030, 2040, a nd 2050. The MOB I L E6.2 output for ea ch of the se sce narios wa s proce ssed in the same w ay as the

x 

## base c ase f

ile to obtain the total NO emission factors by model y ear

for e ach of

these c alenda

r y e a rs . T he se e mis sio n f

a c tor s a re sh ow n in

Ta ble C- 2. Th e 20 50 e mis sio n f a c tor s a re the sa me as the 2040 e mission factors by ag e, so they

are not shown in this t able. Mode l y ear s from 2004 thr ou g h 2 00 8, sh ow n in

da rk sh a din g in T a

ble C- 2, re pr e se nt t

he y e a rs that th e Ti e r 2 sta nd a rd is being phased in. Model y ear s 2009 and later are shown in light shading in Table C-2. The se ar e the model y ear s where the Tier 2 sta ndard ha s been c ompletely phased in. Emission fac tors for the y ear s that are not shaded on this table will not be used. To c apture the low sulfur g asoline eff ects of the Tier 2 pr og ram on the mode l y ear s not being repla ced in 1999, a third MOBI L E6.2 i n p u t fi l e w as d ev el o p ed

. T h i s i n p u t fi l e s i m u l at ed ca l en d ar y ea r 1 9 9 9 em i s s i o n fa ct o rs , u s i n g a 30 ppm sulfur g asoline. The input file is identica l to that shown in Fig ure C-1, w ith the fo llo wi ng a dd iti on a l c omm a nd lin e a dd e d in

the sc e na ri o s e c tio n:

SUL FUR CONTEN T : 30.0

M O B IL E 6 IN P U T F IL E :

D A IL Y O U T P U T : DA TA B A S E OU TP UT : W I T H FI ELDN AM ES : D AT AB AS E VE H I C LES : 211 11 1 11111 11 1 111 111 11111 111 D AT AB AS E FA C I LI T I ES : AR T ER I AL none P OL L U TA N TS : N OX

R U N DAT A : E XP RE S S HC A S V OC : N O R E F U E L IN G : >SCEN ARI O : 1

, Ai r C on t r ol N ET BASE CASE SCEN ARI O REC O R D : SUM M ER 99 BASE C ALEN D AR Y EA R : 199 9 E V A L U A T IO N M O N T H : 7 AV ER AG E SP EE D : 35 Ar t er i al M I N / M AX T EM P : 70. 90. F U E L R V P : 8 .7

E ND OF RUN :PECHAN Ma y 2006

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### C -4 x 

## Tab le C -1

. 1999 B ase C ase N O L DB F Emi ssio n Fact or s b y M od el Y ear

M od el Y ear V e h ic le

A ge x

LD GV N O Em i s s i on Fa c t or (g /m i) M ile s

T r avel ed per D ay ( m i l es) Re gi s t r a t i on

Di s t r i but i on Fr a c t i on Fu el

E c o n o my ( m pg) x

W e i gh t e d NO Em i s s i on Fact or ( gr am s) W ei gh t ed

M i l es per D ay ( m i l es) 1975 24 7. 213 12. 2868 0. 0102 16. 8 0. 904 0. 1253 1976 23 7. 7188 12. 9232 0. 0036 16. 8 0. 3591 0. 0465 1977 22 8. 5972 13. 5945 0. 0045 16. 8 0. 5259 0. 0612 1978 21 8. 0843 14. 3001 0. 0057 16. 8 0. 659 0. 0815 1979 20 7. 7857 15. 0433 0. 007 17. 1 0. 8199 0. 1053 1980 19 6. 1404 15. 8235 0. 0087 19. 8 0. 8453 0. 1377 1981 18 2. 898 16. 6448 0. 0106 21. 2 0. 5113 0. 1764 1982 17 2. 8338 17. 5086 0. 0137 22 0. 6797 0. 2399 1983 16 2. 6799 18. 4183 0. 0177 21. 9 0. 8737 0. 326 1984 15 2. 6203 19. 3732 0. 0225 22. 2 1. 1422 0. 4359 1985 14 2. 5342 20. 3781 0. 0286 22. 9 1. 477 0. 5828 1986 13 2. 3167 21. 4357 0. 0363 23. 7 1. 8027 0. 7781 1987 12 2. 2502 22. 5488 0. 0459 23. 8 2. 3289 1. 035 1988 11 1. 8635 23. 7195 0. 0541 24. 3 2. 3913 1. 2832 1989 10 1. 7515 24. 9498 0. 059 23. 9 2. 5783 1. 472 1990 9 1. 64 26. 2458 0. 0629 23. 9 2. 7074 1. 6509 1991 8 1. 5373 27. 6082 0. 0657 23. 9 2. 7884 1. 8139 1992 7 1. 4175 29. 0406 0. 0678 23. 9 2. 791 1. 969 1993 6 1. 3131 30. 5476 0. 0692 23. 9 2. 7758 2. 1139 1994 5 1. 0542 32. 1327 0. 0701 23. 9 2. 3746 2. 2525 1995 4 0. 8123 33. 8006 0. 0705 23. 9 1. 9357 2. 3829 1996 3 0. 6353 35. 5549 0. 0707 23. 9 1. 597 2. 5137 1997 2 0. 5157 37. 4003 0. 0708 23. 9 1. 3655 2. 6479 1998 1 0. 4238 39. 3409 0. 0708 23. 9 1. 1804 2. 7853 1999 0 0. 3465 40. 8534 0. 0532 23. 9 0. 7531 2. 1734
T ota l 0. 9998 38. 167 29. 1903

x W ei gh t ed N O Em i ssi on Fact or ( g/ m i ) : 1. 3075PECHAN Ma y 2006

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### C -5 

## Em iss ion fa c tor s r e su lti ng fr om t

his MO B I L E6 .2 ru

n a re a lso sh ow n in

Ta ble C- 2 in

the c olu mn labeled 1999. T he medium shading in this column i ndicates the model y ear s aff ecte d in 1999 by the low su lf ur g a so lin e . A s sh ow n in

thi s ta ble , o nly mod e l y e a rs 19 81 a nd

ne we r a re a ssu me d to be af fec ted by lower sulfur

g asoline in MOB I L E6.2.

Once the implementation y ear is selected in Step 4, Step 5 involves appropr iately combining emission factors f

rom Tables C-1 a

nd C-2. This must be done so that the model y ear s from the selec ted y ear

of implementation subject to Tier 2 r eplac e the e mission factors of the ve hicles of

corr esponding ag es in Table C-1. F or example, to simulate the Tier 2 2020 implementation

x 

## schedule in 1999, start with the L DGV NO emission factors in Ta ble C-1. Replac e the e mission fac tors for ve hicles of a g e 16 and ne wer with the corr esponding 2020 emission factors f rom Ta ble C- 2 f or ve hic le s o f t

he sa me a g e . T he se a re the ve hic le s th a t w ou ld h a ve be e n s ub je c t to Tier 2 e mission s tandar ds in 2020 (e.g ., model y ear s 2004 and later ). The r emaining model
y e a rs , a g e d 1 7 y e a rs a nd

old e r, wo uld

be me e tin g the sa me e mis sio n s ta nd a rd s th a t th e y wo uld have me t in the 1999 base c ase. H oweve r, vehic les ag ed 17 and 18 y ear s, or from the 1981 a nd 1982 model y ear s, would be af fec ted by Tier 2 low sulfur

g asoline in 1999. Thus, these e mission fac tors rec eive the me dium shading in Ta ble C-3. Vehic les of ag e 12 throug h 16 repr esent the vehicles f rom model y ear s 2004 throug h 2008 that repr esent pha se-in Tier 2 emission standards. The ve hicles 11 y ear s and new er me et the full Tier 2 emission standards. Ve hicles older tha n 18
y ear s are not affe cted a t all by the Tier 2 pr og ram in 1999. Thus, vehic les of 19 y ear s of ag e and older re ceive their natura l 1999 base c ase e mission factors and a re una ffe cted by

the Tier 2

c on tr ol.

Next, the emission factors shown in Table C-3 need to be combined with the daily VMT data a

nd the re g istration distributi on data shown in Ta ble C-1. The same proc edure applied to the

x 

## emission factors in Ta

ble C-1 to obtain the weig hted 1999 base case NO L DGV e mission factor needs to be applied to the Ta ble C-3 emission fac tors repr esenting various deg ree s of Tier 2 implementation in 1999. As in Table C-1, ea ch emission fac tor is first multi plied by the miles
trave led per

day and the r eg istration distributi on fra ction shown in Table C-1 f or vehic les of the

same a g e. The se produc ts are summed f or all 25 y ear s of vehicle s and divided by the sum of the 25 products of the miles traveled pe r day multipl ied by

the re g istration distributi on fra ction for

eac h vehicle a g e. Ta

ble C-4 shows the re sulting we ighte d emission factors f or ea ch of the y ear s shown in Table C-3.

x 

## Under Step 6, the perc ent re duction from the 1999 ba se ca se NO emission factors to the weig hted emission fac tors repr esenting the var ious deg ree s of Tier 2 implementa tion in 1999 are calc ulated. The se per cent r eductions ar e shown in Table C-4. The re ductions shown for 1999
repr esent only

the re ductions that would be ac hieved by repla cing conventional g asoline with 30 ppm sulfur g asoline with the cur rent 1999 fle et of ve hicles. B y 2033, the full Tier 2 e mission reduc tion potential would be rea ched, a nd all y ear s therea fter w ould achieve the bene fits shown in Table C-4 for

2040.

Th e fi na l st e p in vo lve s a

pp ly ingthe re du c tio n p e rc e nta g e s f ro m T a ble C- 4 to the 19 99 ba se c a se Ai rC on tr olN ET e mis sio ns

.PECHAN Ma y 2006

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### C -6 x 

## Table C-2. LDGV NO Emiss ion Fact or s w it h Ti er 2 in Var io us Cal end ar Y earsPECHAN Ma y 2006

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### C -7 x 

## Tab le C -3

. 1999 B ase Y ear LD GV N O Em issio n Fact or s U nd er Vari ous Tier 2 Imple mentation Years by Vehic le A gePECHAN Ma y 2006

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### C -8 x 

## Tab le C -4

. Weig ht ed LD GV N O Em issio n Fact or s in 1999

w ith Vary ing Degrees of Tier 2 Imple mentation

Y e a r o f T i e r 2 I m pl e m e nt a t i on W e i g h t e d 1 9 9 9 L D GV

x NO E m i s s i on Fa c t or (g /m i) Pe r c e nt Re duc t i on

f r om 199 9 Base C ase E mi s s i o n F a c t o r ( %)

1999 Base C ase 1. 3075

1 9 9 9 * 1 .2 1 0 1 7 .4

2 0 0 7 1 .1 0 8 2 1 5 .2

2 0 1 0 0 .9 2 9 6 2 8 .9

2 0 2 0 0 .3 7 8 7 7 1 .0

2 0 3 0 0 .2 1 5 1 8 3 .5

2 0 4 0 0 .2 1 4 6 8 3 .6

* 1999 r epr esent s onl y gaso l i ne su l f ur ef f ect s of T i er 2 pr ogr am

.PECHAN Ma y 2006

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### C -9 x 

## Th e e xamp le sh ow n h e re ill us tr a te d o nly re du c tio ns ob ta ine d f

ro m N O fo r L DG Vs . T he se sa me ste ps wo uld

be a pp lie d to a ll o f t

he oth e r p oll uta

nts inc lud e d in

Ai rC on tr olN ET . T he on ly differ ence for other

pollutants would be under Steps 2 and 3. In proce ssing the MO BI L E6.2

x 

## output file for NO , emission factors f or two emission ty

pes we re a dded tog ether

for e ach mode l
y ear . I n this case, the e mission t y pes we re e x haust running emissions and exhaust engine start

2 3 

## emissions. These same two c omponents would be proc essed f or CO, SO , and NH . Howeve r, the proc essing of the VO C output m ust also include the eva porative e mission t y

pes: hot soak,

10 2.5 

## diu rn a l, r e sti ng los s, ru

nn inglos s, a nd

c ra nk c a se e mis sio n f

a c tor s. B oth

the PM a nd

PM
proce ssing must also include the br ake w ear and tire w ear

emission ty

pes in addition to the exhaust emissi on ty

pes. The pr ocedur es would not cha ng e for any of the other

vehicle ty

pes. Ho we ve r, die se l ve hic le s d o n ot h a ve a ny e va po rativ e e mis sio n c omp on e nts a nd he a vy du ty

ve hic le s d o n ot i nc lud e a

se pa rate e xha us t e ng ine sta

rt c omp on e nt.

An a dv a nta g e to t

his pr oc e du re is the e a se wi th w hic h it c a n b e a da

pte d to a dd iti on a l ba se y e a rs , bey ond 1999. For

a diffe rent ba se y ear , Step 2 would need to be r eca lculated using a diffe rent base y ear MOBI L E6.2 input file. Howeve r, the e mission factors ca lculated f or the proje ction
y ear s, as shown in Table C-2, w ould not need to be c hang ed. The combination of emission fac tors from the ba se y ear and proje ction y ear s would need to c hang e. F or example, if 2010 wer e the new ba se y ear , and a 2020 y ear of Tier 2 implementation in 2010 were desired, the Table C-2 emission factors f

or 2010 fr om vehicles of a g e 17 and olde r would be c ombined with the 2020 emission factors f

or vehic les of ag e 16 and ne wer

. The steps laid out in this ex ample ar e applica ble for a ny control mea sure that c ould be modeled in MOBI L E6.2. This includes both fuel a nd emission standard contr ol measure s, as well as vehicle inspe ction prog rams. I n addition, the model y ear -spec ific emission fac tors obtained fr om MO B I L E6 .2 c a n b e a dju ste d to a c c ou nt f or oth e r c on tr ol m e a su re s th a t c a nn ot b e e xplic itl y mod e le d in

MO B I L E6 .2 . T his wo uld inc lud e me a su re s li ke re tr of itt ingHD DV s w ithpa

rt ic ulate traps, re placing a portion of the f leet with hy

brid or ele ctric ve hicles, or sc rapping a portion of the old e r m od e l y e a r v e hic le s o r t ru c ks . Co ntr ol m e a su re s th a t in vo lve c ha ng e s in a c tiv ity (V MT ) t o s pe c if

ic ve hic le ty

pe s, bu t th a t a re no t sp e c if ic to m od e l y e a r, wo uld

be mod e le d in AirControlNET by

reduc ing e missions in direct propor tion to the reduction in VMT. Howe ver, if an a ctivity -base d control mea sure is more spe cific to pa rticular mode l y ear s of vehicle s, the

e mis sio n f

a c tor s w ou ld f

ir st b e a dju ste d f

or the ne c e ssa

ry mod e l y e a rs

.

Tier 2

Represe ntative sce nario c onditions were c hosen base d on their influenc e on emissions with Tier2 control mea sures in plac e. The conditions that were deter mined to significa

ntly influence Tier2 emissions as a re sult of this sensit ivity testing a re te mpera ture, spee d, and pre sence or abse nce of enhanc ed inspec tion/maintenance ( I /M) and anti-ta mpering prog rams. I nput files wer e pre pare d that modeled the ba se ca se and Tie r 2 ef fec ts under ea ch of the se conditions, both with and wi tho ut l ow su lf

ur g a so lin e fu e l. E mis sio n f a c tor s w e re c omb ine d b y

mod e l y e a r a

nd ve hic le ty pe such tha t the appropr iate model y ear s and vehic le ty pes re ceive d the appr opriate c ontrol

measure s. Specifica lly , the Tier 2 e ng ine and ve hicle contr ol measure is applicable to a ll light duty vehicles be g inning with the 2004 model y ear ; the Tier 2 low sulfur g asoline control mea surePECHAN Ma y 2006

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### C-1 0 

## is applicable to a ll ga soline vehicles be g inning with the 1981 model y ear . Hea vy duty diesel

ve hic le s and

mot or c y c le s a re no t a ff

e c te d b y thi s c on tr ol.

A per cent diff

ere nce w as ca lculated ba sed on the diff ere nce in the w eig hted ave rag e emission fac tor betwe en the c ontrol and base case s for e ach ve hicle ty pe. I n this case, be cause there wer e mul tip le c on tr ol c a se s ( te mpe ratur e a nd sp e e d) , th e pe rc e nt r e du c tio ns we re c omb ine d in or de r t o g et a sing le control e fficie ncy for e ach ve hicle ty

pe in ea ch model y ear

for c ounties with and without I /M prog rams. The perc ent re ductions from the va rious tempera ture runs ( summer and wi n t er ) w er e c o m b i n ed b y we i gh t i n g t h e t wo v al u es eq u al l y (f o r b as e s p ee d
, l o w s p ee d

an d h i gh speed) . Then, the a djusted perc ent re ductions for e ach spe ed we re c ombined in the following

wa y to g e t a sin g le pe rc e nt r e du c tio n f or tho se wi th a

nd wi tho ut I /M p ro g ra

ms: 50 .4 6% fo r b a se speed, 39.87% for low spe ed, and 9.67% for hig h speed, ba sed on the fr action of V MT expected
to occur under the se conditions in the 1999 base e missions . These pe rce nt reduc tions were the n applied dire ctly

to the 1999 base c ase e missions based on w hether or not an I

/M prog ram wa s active in that c ounty . Please note tha t there is a se para te per cent r eduction for eac h vehicle ty

pe, mod e l y e a r ( 20 10 , 2 01 5, 20 20 , 2 03 0) , p oll uta nt, a nd I /M s ta tus

.

The c osts of the Tier 2 pr og ram we re summar ized as per ve hicle and pe r g allon costs from the Re g ulator y I mpa c t A na ly sis pr e pa

re d b y the EPA (E PA, 19 99 ). I n o rd e r t o s umm a ri ze t he se costs, the deg ree of implementation among eac h vehicle ty pe wa s determined. A n estimate of the

n u m b er o f v eh i cl es af

fe ct ed b y t h e c o n t ro l wa s ca l cu l at ed b y d i v i d i n g t h e V M T b y

t h e a v er age annual mileag e ac cumulation rate for e ach a ffe cted ve hicle ty pe and mode l y ear . This frac tion of vehicles w as then a

pplied to the number of ve hicles re ported in the 1999 ba se ca se data , and multipl ied by

the cost per

vehicle. T he cost pe r vehic le was summar ized from the cost re ported in the EPA repor

t to the vehicle ty

pe leve l that is reported in AirControlNET. T his was done by

we ig hti ng e a c h v e hic le ty pe by the re le va

nt V MT fr a c tio n, a nd

the n s umm ingto a

ne w v e hic le ty pe summary

level. The se per

vehicle a nd per g allon costs wer e then a pplied to all releva

nt vehicle ty pes for eac h model y ear . The c ost per ton was e stimated by identify ing the major

x 

## pollutant controlled by

this measure a s NO and dividing the cost of the mea sure by the tons of

x 

## NO emissions controlled.

Heavy Duty Diese l

I n the ca se of the he avy

duty diesel control mea sure, Pec han made the assumption that vary ing the mod e lin g c on dit ion s w ou ld h a ve lit tle e ff e c t on the e mis sio ns re du c tio ns a c hie ve d b y thi s

measure . I n other wor ds, other fa ctors such a s tempera ture, spee d and the pr esenc e or a bsence of enhanc ed I

/M and ATP prog rams we re not take n into account. The ref ore, input files that
repr esente d the base case and diese l control measur es we re pr epar ed, including those with and without low sulfur diesel fue l. Emissi on fac tors wer e combined by model y ear

and vehic le ty

pe such that the a

ppropriate model y ear s and vehic le ty pes re ceive d the appr opriate c ontrol

measure s. The hea

vy duty diesel eng ine and ve hicle contr ol measure s are applicable to all heavy duty diesel vehic les beg inning with the 2007 model y ear , and all hea vy duty g asoline vehic les beg inning with the 2008 model y ear . L ight duty diesel vehic les also fe lt the effe cts of the low

su lf ur die se l f ue l st a nd a rd . L ig ht d

uty g a so lin e ve hic le s a

nd mot or c y c le s a

re no t a ff e c te d b y thi s

c on tr ol.PECHAN Ma y 2006

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### C-1 1 

## A per cent diff

ere nce w as ca lculated ba sed on the diff ere nce in the w eig hted ave rag e emission fac tor betwe en the c ontrol and base case s for e ach ve hicle ty pe. The se per cent r eductions we re then applied dire ctly

to the 1999 base c ase e missions . Please note tha t there is a se para te per cent

re du c tio n f

or e a c h v e hic le ty

pe , mo de l y e a r ( 20 10 , 2 01 5, 20 20 , 2 03 0) , a nd po llu ta nt. Th is modeling e ffor

t is sim pler than the Tier 2 sc enar io beca use there are few er c onditions t hat have to be taken into ac count as ha ving a n eff ect on the e missions reduc tions rece ived by the control

measure

.

Th e c os ts o f t

he he a vy du ty die se l pr og ra

m w e re su mma

ri zed a s p e r v e hic le a nd

pe r g a llo n c os ts f r o m t h e Re g u lato r

y I mp a c t A n a ly s is p r e p a r e d b y th e E PA ( E PA
, 2 0 0 0 )

. I n o r d e r to s u mm a r iz e the se c os ts, the de g re e of

imp le me ntatio n a mon g e a c h v e hic le ty pe wa s d e te rm ine d. An

e sti ma te of the number

of vehic les aff

ecte d by the control wa s calc ulated by dividing the VMT by

the

a ve ra g e a nnua l mi le a g e a c c umu la tio n r a te fo r e a c h a ff e c te d v e hic le ty

pe a nd mod e l y e a r. Th is fr a c tio n o f v e hic le s w a s th e n a pp lie d to the nu mbe r o f v e hic le s r e po rt e d in the 19 99 ba se c a se da ta , a nd mul tip lie d b y

the c os t pe r v e hic le . T he c os t pe r v e hic le wa s su mma ri zed fr om t he c os t repor ted in the EPA repor

t to the vehicle ty

pe leve l that is reported in AirControlNET. T his was done by weig hting e ach ve hicle ty pe by the re levant VMT f

rac tion, and then summing to a ne w

ve hic le ty pe su mma

ry le ve l. T he se pe r v e hic le a nd pe r g a llo n c os ts w e re the n a pp lie d to a ll rele vant vehicle ty

pes for eac h model y ear . The c ost per ton was e stimated by identify ing the

x 

## major pollutant controlled by this measure a s NO and dividing the cost of the mea sure by the

x 

## tons of NO emissions controlled.

Vo lunt ar y D ie se l R e tr ofit

The voluntary

diesel re trofit prog ram wa s approa ched dif fer ently than the other

two control

measure s. The main re ason for this is t hat the emission fac tors cannot be modeled using MOBI L E6.2, as the c onditions i n the model do not allow for this control. The ref ore, Pec han

c on du c te d e xten siv e re se a rc h o n th e va ri ou s r e tr of

it t e c hn iqu e s a va ila

ble to t ho se int e re ste d in participa ting in the pr og ram. Control eff iciencie s and costs we re c ollected f or a va riety of controls. I n the end, Pec han chose four r etrofit contr ols to estimate the costs of bene fits of for thi s p ro g ra

m: 1 ) d ie se l pa

rt ic ulate fi lte r; 2) die se l oxid a tio n c a ta ly st; 3) se le c tiv e c a ta ly tic

re du c tio n; a

nd 4) bio die se l f

ue l. T he se fo ur

c on tr ols re pr e se nt t

he va ri e ty of re tr of it c on tr ols in terms of ty

pe, func tion, and cost. More de tailed information on the methodolog y of including the retrof it controls in this analy sis can be f ound in the Pechan me mo prepa red f or US EPA’s Ty ler Fox in J uly

2003 (Pecha

n, 2003).

The ra ng e of c ontrol eff

iciencie s rese arc hed for

eac h retrof

it technolog y

was a vera g ed, and a single perc ent re duction was a pplied to the 1999 base e missions for e ach ve hicle ty pe. Due to the fac t that there a

re f our controls for

this measure, multiple y ear s were not modeled her e. A simil ar me thodology

was e mploy ed for

the costs: the ra

ng e of r esea

rche d costs was a vera g ed and

a pp lie d to a ll r e le va

nt v e hic le s ( i.e
., a ll h e a vy du ty die se l ve hic le s) . Pl e a se no te that th e fi rs t three retrof

it technolog ies requir e the use of low sulfur diese l fuel, so the per cent r eductions and costs of this fuel ar e included in these analy ses. I n order to determine the perc ent re ductions achie ved fr om the fuel a lone, MOB I L E6.2 input files were prepa red w ith base hig h sulfur diesel fuel a nd base low sulfur

diesel fue l. The per cent r eductions we re c alculate d and this controlPECHAN Ma y 2006

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### C-1 2 

## eff iciency was incor

porate d into the control eff iciency for the r etrofit tec hnology alone to ac hieve

a c o m b i n e d

c o n t r o l e f

f i c i e n c y.

RE F ER EN CE S

EPA, 1999: U.S. Environmental Protection Ag ency , “Reg ulatory I mpact Ana ly sis - Control of Air Polluti on from Ne w Motor Vehic les: Tier 2 Motor Ve hicle Emissions St andar ds and Gasoline Sulfur Control Requireme nts,” EPA420-R-99-023, De cembe r 1999.

EPA, 2000: U.S. Environmental Protection Ag ency , “Reg ulatory I mpact Ana ly sis: C ontrol of Em iss ion s o f A ir

Pol lut ion fr om H ig hw a y

He a vy -D uty

En g ine s, ” EPA 42 0- R- 00 -0 10 , July 2000.

Pe c ha n, 20 03 : E .H . Pe c ha

n & As so c ia te s, “ Me tho do log y to I mpl e me nt V olu

nta ry Di e se l Re tr of

it Prog ram in AirControlNET,” memo prepa red f or Ty ler F ox of the U.S. Environmenta l Protection Ag ency , J uly

2003.PECHAN Ma y 2006

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# AP P ENDI X D: NONROAD M OBI LE CONTROL M EAS URESPECHAN Ma y 2006

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## [This page intentional ly left blank.]PECHAN Ma y 2006

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### D-1 

## IN TR OD UC TIO N

The foc us of AirControlNET ha s primarily been to e valuate c ontrol measure s for stationar y

source s (i.e., EGU s, nonEGUs, and a rea source s) and e stimate emissions reduction and the associate d costs. Howeve r, in order to ga in a more c omplete picture of ava ilable control

measure s for policy

considera

tion and for c onducting “wha t if” sce narios we found it nece ssary to i nc lud e c on tr ol m e a su re s a va ila ble fo r o nr oa d a

nd no nr oa d mo bil e so ur c e s. Th us , th e pu rp os e of thi s a pp e nd ix is to do c ume nt t

he de ve lop me nt a

nd imp le me ntatio n o f a

c a pa bil ity wi thi n AirControlNET to eva luate nonroa d source control mea sures, i.e., e stimate emission reductions and costs fr om a base line emissions inventory . For nonroad sour ces, w e conduc ted model simulatio ns of

EPA ' s N ON RO AD mod e l to de ve lop c on tr ol m e a su re da ta fo r i nc lus ion

int o AirControlNET (pr ovide cite f or this model). This initi al ef fort foc used on including such data a ssociated with the implementation of the following eng ine standar ds for the y ear s 2010, 2015, 2020, and 2030:

1) Tier 1, Tier 2, a

nd Tier 3 e mission s tandar ds for nonroa d C-I eng ines at or a bove 50 hp, not including r ecr eational mar ine (63 F R 56968, 1998).

2) F inal emission standards for nonroad la

rg e S-I eng ines and land- based r ecr eational e ng ines (67 F R 68242, 2002).

For eac h of these sta

ndards, a databa se of y ear -spec ific control e fficie ncies a nd costs per e ng ine by cate g ory (i.e., 7- or

10-dig it SC C) was de veloped f or applica tion to a 1999 base y ear inventory (i .e ., NE I v2 .0 ). Th is a

pp e nd ix pr ov ide s th e ste ps ta ke n to e sti ma te the e mis sio n r e du c tio ns , applicability , and costs assoc iated with ea ch of the above c ontrol prog rams for inclusion into AirControlNET.

I n order to develop additional mobile source inputs using the methods desc ribed be low, the NO NR OA D m od e l w ou ld n e e d to be ru n to e sti ma te the e mis sio ns re du c tio ns . E PA i s c ur re ntl y developing the National Mobile I nventory Model (NMI M) which is a c onsolidated emissions modeling sy stem for mobile and nonr oad emissions inventory development. I t is ex pecte d that at some time in the future, N MI M will replace these models. Howe ver, a s curr ently config ured, AirControlNET is not connec ted to NMI M..

Table D -1 shows a summar y of the fe dera l emission st andar ds aff ecting NONROAD model
cate g ory eng ines as we ll as the corr esponding source classifica tion codes (SCCs), eng ine size or horsepowe r (hp) , and pollutants. As shown, the NON ROAD model ca teg ory controls include the following spark- ignition (S-I ) (i.e., g asoline) a nd compre ssion-ignition (C-I ) (i.e., die sel) eng ine

e mis sio n s ta nd a rd s:

• Phase I

and Phase I I emission standards for new nonr oad S-I

eng ines at or be low 25 horsepowe r (hp) . Promulga ted J uly 1995 (Phase I ), Mar ch 30, 1999 (Phase I I Nonhandheld) , and Apr il 2000 (Phase I I Handhe ld).

• Emission st andar ds for ne w g asoline S-I marine e ng ines (61 F R 52088, 1996).PECHAN Ma y 2006

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### D-2 

## • Tier 1 a

nd Tier 2 e mission s tandar ds for nonroa d C-I eng ines below 50 hp, including

rec rea tional marine (61 F R 58101, 1996).

• Tier 1, Tie r 2, and Tie r 3 emission standards f or nonroa d C-I eng ines at or a bove 50 hp, not including r ecr eational mar ine (63 F R 56968, 1998).

Additional final and propose d controls not ref lected in EPA’s N ONROAD mode l include:

• Final e mission s tandar ds for nonroa d larg e S-I eng ines, and mar ine and land- based

rec rea tional eng ines (67 F R 68242, 2002).

• Proposed emission standards for evapor ative emissions from g asoline-f ueled r ecr eational boats (67 F R 53050, 2002).

• P rop os ed T ier

4 em is si on st and ards and lo w s ul fur di esel fuel requ ir eme nt s (6 8 FR 28328, 2003).

Future eff orts are expected to incorpor ate those f eder al prog rams not ac counted f or in the cur

rent version of A irControlNET as we ll as other contr ol options t hat ar e tec hnically fea sible to achieve criter ia air pollutant re ductions from nonroa d source s now and in the futur e.

EMISSI ON REDUCTIONS

Pechan r an the NO NROAD2002b ve rsion of the model a t the national level f or 1999, 2010, 2015, 2020, and 2030. Pecha n used model def

ault values for

tempera ture, a

nd Reid vapor
pr e ssu re (R VP) . F or the die se l f

ue l su lf ur , E PA’ s O ff

ic e of Tr a ns po rt a tio n a

nd Ai r Q ua lit y (O TA Q) re c omm e nd e d u sin g a de fa ult na tio na l a ve ra g e die se l f

ue l su lf ur c on te nt o f 2 ,3 18 pa

rt s per million (ppm) for 1999, a nd a value of 2,217 ppm for a ll future y ear runs. Revised model input files to reflec t the above- mentioned larg e S-I and re cre ational standar ds were also provided by OT AQ , s inc e the NO NR OA D2 00 2b ve rs ion do e s n ot i nc lud e the e ff

e c ts o f t he se sta nd a rd s.

NO NR OA D o u t

p u t s em i s s i o n s an d

ac co u n t s fo r c h an ges i n t h e d i s t ri b u t i o n o f e n gi n e t ec h n o l o gy ty pes as ne w, clea

ner e ng ines are phased in. We estimated e mission reductions (i.e., control eff iciencie s) associa ted with a spec ific standar d and y ear of implementation in 1999 by
compar ing c hang es in pollutant emissions between a ba se y ear of 1999 and e ach f

uture y ear , while holding g rowth in equipment populations constant (i.e., g rowth fa ctor of 1) . This was

acc omplished by

revising the g rowth input file (na tion.gr w) to re flec t a constant leve l of g rowth.

I n th e c a se of

SCCs a ff e c te d b y the la rg e S- I sta

nd a rd s, the re ma y

be ov e rl a p b e tw e e n th e la rg e SI and small S-I standards, if a n SCC includes eng ines that are both above a nd below 25 horsepowe r. To dete rmine the a ctual re duction associate d with only the larg e S-I

standards, w e adjusted the tec hnology

file to remove all technolog y fra ctions associate d with the small S-I
sta nd a rd s. I n th is m a nn e r, a c on tr ol f a c tor is c a lc ulate d th a t a lr e a dy a c c ou nts fo r t

he ru le penetr ation that should be applied to SCC-level emissions, given tha t emissions for all eng ines within the SC C may

not be subject to the lar g e S-I standard. B eca

use the C-I

standards a

ndPECHAN Ma y 2006

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### D-3 

## rec rea tional ga soline standards a pply to all horsepowe r ra

ng es within an SCC, t his adjustment

w a s n o t n e e d e d

f o r s t a n d a r d s o t h e r

t h a n l a r g e S

- I.

Tables D- 2a throug h D-2d pre sent the y ear -spec ific control e fficie ncies by equipment ca teg ory (i.e., 7-dig it SC C) or by

equipment applica tion (10-dig it SC C). These va lues wer e ca lculated by taking the diffe renc e betwe en the pollutant emissions for 2010 (or alterna te implementation y ear ) and pollutant emissions for 1999, dividing by pollutant emissions for 1999, a nd multipl y ing by 10 0. Pe c ha

n e sti ma te d e mis sio n r e du c tio ns fo r a g ive n y e a r a

t th e e qu ipm e nt c a te g or

y , o r 7 -d ig it SCC level, for

most categ ories, with some exceptions. There fore , most base y ear SCC emissions for NO NROAD model e ng ines will be ag g reg ated to the 7 dig it SC C-level of de tail (i.e., with 7- digit spec ificity , followed by three zeroes). This a

pproac h simpli fies ca lculations without losi ng neede d resolution and dec rea ses the storag e nee ded to house a county -leve l nonroad inventory for the nation, which ty

pically comprises ove r 200 SCCs.

NU M BER

OF AF F EC TED EN G IN ES

This section discusses how Pec han estimated the number of a ffe cted e ng ines by technolog y

ty pe (i.e., by Phase or Tie r) f

or ea ch implementation y ear , using r esults from the NON ROAD runs descr ibed in Section I I , and scr appag e ra te data f rom the model. Since we are modeling f uture
y e a r r e du c tio ns in 1 99 9, we do no t w a nt t o r e fl e c t g ro wth in e ng ine s, a nd

the re fo re se t th e g ro wth
t o 1

. T h e o u t

p u t d at a u s ed fr o m t h e m o d el ar e e q u i p m en t p o p u l at i o n s b y S C C an d t ec h n o l o gy ty pe. The se steps ar e desc ribed by prese nting a

n example of these c alculations for commerc ial C-I eng ines less than 50 hp for the y ear 2010, rela tive to 1999.

Table D -3 pre sents the total number of c ommercia l sector C-I eng ines of less than 50 hp in ea ch tier ca teg ory

for y ear s 1999 and 2010. B eca use the e ffe ct of g rowth has be en re moved, the number of e ng ines turned ove r to a hig her Tie r ca teg ory can be obtained fr om these re sults. The total number of e ng ines is the same for 1999 and 2010 (449,154) , but the distribution of eng ines

a mon g tie rs dif

fe rs a nd ind ic a te s th e nu mbe r o f e ng ine s th a t ha ve tur ne d o ve r t o th a t T ie r, wi th the exception of Tier

1 eng ines. Since Tier

1 eng ines are prese nt in the 1999 base y ear , an adjustment is needed, a s descr ibed below.

The table shows a count of 178,062 eng ines aff

ecte d by Tier 2. This estimate r epre sents eng ines that are turned ove r fr om Ba se emission levels to Tier 2 leve ls and eng ines that are turned ove r from Tier 1 levels to Tier 2 le vels. (To simplify the ca lculations, we e stimated control costs for all Tier 2 e ng ines by

multipl y ing the total number of Tie r 2 eng ines that have been tur ned over from hig her- emitting leve ls by the incre mental cost of a chieving Tier 2 e mission s tandar ds from Ba se emission levels.) The re a re a lso 165,530 eng ines emitting a t Ba se leve ls in 2010 from the 442,464 eng ines emitting a t that level in 1999.

Since Tier 1 e ng ines are prese nt in the 1999 base y ear , it is necessar y to calcula te the number

of Tier 1 e ng ines that are still opera ting in 2010. This step is acc omplished by multipl y ing the 1999 count of e ng ines (6,690) by one minus the scra

ppag e ra te (1 - 0.849) . The re sulting eng ine count (1,010) is then subtra cted f rom the number of

Tier 1 e ng ines in 2010 (105,563). The se steps leave an estimate of

104,552 eng ines that have turned ove r fr om Ba se emission levels to Tier 1 levels by 2010. To repr esent the 2010 y ear implementation of the C-I eng ine standar ds, the perPECHAN Ma y 2006

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## eng ine costs associa ted with eac h Tier leve l are multipl ied by the number of

eng ines that have turned ove r to ea ch standa rd betwe en 1999 and 2010, w hich is 178,062 Tier 2 e ng ines and 10 4, 55 2 T ie r 1 e ng ine s.

Table D -4 pre sents the C-I scra ppag e ra tes by

equipment ca teg ory , hp rang e and implementa tion
y e a r f or a dju sti ng the nu mbe r o f T ie r 1 C- I e ng ine s. Th e sc ra pp a g e rate s w e re de ri ve d b y fi rs t calc ulating the aver ag e annua l hours of use, the a vera g e load f

actor , and the a vera g e median life for e ach e quipment categ ory , based on the NONROAD model data f or these va

riables. F or a g iven implementation y ear , the ave rag e annua l hours of use wa s multi plied by the number of
y ear s betwee n the base y ear 1999 and the f

uture y ear of intere st to calculate the per cent of

me dia n li fe us e d. Th e se va lue s w e re the n c or re la te d to the de fa

ult sc ra pp a g e c ur ve sh ow n in Table D -5, also obtained f rom the NON ROAD model (EPA, 2002a ). F or larg e S-I eng ines and

re c re a tio na l e qu ipm e nt, the nu mbe r o f e ng ine s c a n b e ob ta ine d d ir e c tly fr om t he mod e l r e su lts
, since ther e ar e no standa

rd-ba sed tec hnology

ty pes in the base y ear

(i.e., none of the standa

rds come into af

fec t by 1999).

COSTS P ER ENGINE

Th is s e c tio n d isc us se s th e pe r e ng ine c os ts a pp lie d to the nu mbe r o f a ff e c te d e ng ine s. Al l c os ts repr esent the pr oduction and complianc e costs for an eng ine to meet the standa rd, and do not include costs assoc iated with fue l saving s. As mentioned in Section I I I , all costs applied ar e incre mental to the base case . For example, Tier 2 costs that ar e incr emental to Tier 1 costs are added to the r eporte d Tier 1 c osts to estim ate the c ost involved in converting an eng ine from Ba se leve l to Tier 2.

Table D -6 provides the combined eng ine and e quipment costs from the Reg ulatory I mpact An a ly sis (R I A) fo r t

he F e de ra l T ie r 1 , 2 , a

nd 3 n on ro a d d ie se l st a nd a rd s ( EPA , 1 99 8) . Co sts

re pr e se nt f

ir st- y e a r c os ts, a nd

dif fe r b y e ng ine ho rs e po we r r a ng e s. L on g -t e rm c os ts a re a lso available , but first-y ear , or nea r-ter m costs will be used for mode ling f uture re ductions occur

ring in a base y ear

of 1999. EPA deve loped a c ost estimate for a single eng ine nea

r the middle of the
rang es pre sented, so these are approximations, and the costs will be highe r for eng ines on the high e nd of the powe r ra

ng e, and vic e ver sa.

Tier 1 c osts for eng ines g rea ter than 50 hp a re pr esente d in the Reg ulatory Support Document (RSD) for the 1994 rulemaking (EPA, 1994). The se annua liz ed costs ar e pre sented in Table 3-07 of the RSD on a pre sent value pe r eng ine basis, expressed in 1992 dollars. Unlike the costs for the 1998 rulema king, w hich ar e pre sented by hp rang e, per

eng ine costs ar e base d on a we ighte d

a ve ra g e va

ri a ble c os t me tho do log y , a

nd a re no t br ok e n o ut b y

hp ra ng e . T he re fo re the c os ts t o

c omp ly wi th T ie r 1 sta

nd a rd s f or a ll e ng ine s g re a te r t

ha n 5 0 h p a re a ssu me d to be the sa me ($229) f or all sized eng ines.

Ta ble s D -7 a nd

D- 8 p ro vid e the ne a r- te rm inc re me nta l e ng ine c os ts o bta ine d f ro m th e fi na l RSD for the L arg e S-I

and Rec rea tional Equipment St andar ds (EPA, 2002b). F irst y ear costs for meeting Phase 1 (2004) and Phase 2 ( 2007) standar ds for lar g e g asoline and c ompressed na tural
g as (CNG) /liquefied petrole um ga soline (L PG) S-I eng ines wer e obtained f rom Table 5.2.2- 6 of the RSD . Si nc e CN G a

nd L PG e ng ine s u se c omp a ra ble te c hn olo g ie s, a

sin g le se t of

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### D-5 

## prese nted for a

pplication to both fuels. I n addition, costs associated w ith permea tion control are subtracte d from the c osts per eng ine since N ONROAD doe s not model the eff ect of the larg e S-I
g a so lin e e va

po rativ e sta

nd a rd s in re du c ingfu tur e y e a r e va

po ra tiv e hy dr oc a rb on

e mis sio ns . N ote that a limitation of the costs for lar g e S-I eng ines for a

pplication to SC C-level emissions in the inventory is that costs for larg e 2-stroke eng ines to meet the standa rds ar e not ava ilable. The ne ar term cost will, there fore , undere stimate costs for 2-stroke eng ines, since it does not ac count for the c os t of

4- str ok e c on ve rs ion . H ow e ve r, the po pu la tio n o f l a rg e 2- str ok e g a so lin e e ng ine s is

c on sid e ra bly le ss c omp a re d to the po pu la tio n o f l a rg e 4- str ok e e ng ine s.

First y ear costs for mee ting Phase 1 (2006) standa rds for a ll-terra in vehicle ( ATV) and offhighw ay motorcy cle e ng ines wer e obtained f rom Table 5.2.2- 23 and 5.2.2-24 of the RSD,

re sp e c tiv e ly . Co sts fo r 2 -s tr ok e to 4 -s tr ok e c on ve rs ion we re a va ila

ble fo r t he re c re a tio na l ve hic le
cate g ories, so these c osts will be applied to 2-stroke e ng ine SCCs . Costs for this engine

conver sion, as well as pulse a ir/rec alibration tec hnology , are weig hted by sales within a dis pla c e me nt c la ss. Al so , c os ts a sso c ia te d w ithpe rm e a tio n c on tr ol a re su btr a c te d f ro m th e c os ts per e ng ine since N ONROAD doe s not model the eff ect of the re cre ational g asoline eva porative
sta nd a rd s.

Un lik e oth e r t e c hn olo g y

ty pe s in c lud e d in

the NO NR OA D m od e l th a t ty pic a lly re pr e se nt a

mix of seve ral tec hnologie s to meet a spec ified Tier or Phase standa

rds, the tec hnology

ty pes for snowmobiles repre sent distinct technolog ies (Carlson, 2003). T hese sa me technolog ies are used by the a ff e c te d e ng ine s in

va ry ingpr op or

tio ns to m e e t e a c h o f t

he thr e e Pha se s o f t

he ru le (P ha se 1 in 2006, Phase 2 in 2010, and Phase 3 in 2012). F irst y ear costs for mee ting the Phase 1 throug h Phase 3 standar ds for snowmobile eng ines wer e obtained f rom data in Ta

bles 5.2.2-20 throug h 5.2.2-22. Table D-8 shows c osts weig hted by sales within a displace ment class, and descr ibes the basis of the c osts. I n addition, costs associated w ith permea tion control are

su btr a c te d f ro m th e c os ts p e r e ng ine sin c e NO NR OA D d oe s n ot m od e l th e e ff e c t of sn ow mob ile

e va po rativ e sta

nd a rd s.

For the final step, c osts per county associate d with the emission reductions wer e estimated. Since the NON ROAD model runs we re done on a national ba sis, the number of a ffe cted e ng ines

wer e ava ilable at the na tional level only . Per eng ine costs wer e applied to the numbe r of e ng ines to estimate total costs by

equipment ca teg ory . These c osts were then alloca ted to the county level b a s e d o n t h e t o t a l n u m b e r

o f e n g i n e s p e r

c o u n t y , d e v e l o p e d

p r e v i o u s l y

f o r t h e 1 9 9 9 N E I, Ver sion 2.0.

RE F ER EN CE S

61 F R 52 08 8, 19 96 : Fede ral Register , “F inal Rule for Ne w Gasoline Spar k-I g nition Marine Eng ines; Ex emptions for Ne w Nonroa d Compression-I g nition Engines a t or Above 37 kW and New Nonr oad Spark- I g nition Engines a t or Be low 19 kW,” Vol. 61, No. 194, October 4, 1996.

61 F R 58 10 1, 19 96 : Fede ral Register , “De termination of Signif icanc e for Nonroa d Sources a

nd Emission S tandar ds for Ne w Nonroa d Compression I g nition Engines a t or above 37 Kilowatts (kW),” Vol. 61, No. 219, Nove mber 12, 1996.PECHAN Ma y 2006

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### D-6 

## 63 F R 56 96 8, 19 98 : Fede ral Register , “Control of Emissions from Nonroad D iesel Eng ines,” Vol. 63, No. 205, Octobe r 23, 1998.

67 F R 53 05 0, 20 02 : Fede ral Register , “Control of Emissions from Spark-I g nition Marine Vessels a nd Hig hway

Motorcy cles; Proposed Rule,” V ol. 67, No. 157, Aug ust 14, 2002.

67 F R 68 24 2, 20 02 : Fede ral Register , “F inal Rule for Control of Emissions From Nonroa d L a rg e Spa

rk -I g nit ion

En g ine s, a nd

Re c re a tio na l E ng ine s ( Ma ri ne a nd L a nd -B a se d) ,” Vo l. 67, No. 217, Novembe r 8, 2002.

68 F R 28 32 8, 20 03 : Fede ral Register , “Control of Emissions and Air Polluti on Fr om Nonroad Diesel Eng ines and F uel,” Vol. 68, No. 100, Ma y 23, 2003.

EPA, 1994: U.S. Environmental Protection Ag ency , “Reg ulatory I mpact Ana ly sis and Reg ulatory

Support Document, Control of Air Pollution; Deter mination of Significa

nce for Nonr oad Source s and Emission St andar ds for Ne w Nonroa d Compression-I g nition En g ine s a t or

Ab ov e 37 Ki low a tts (5 0 H or se po we r) ,” F I NA L , O ff ic e of Mo bil e Sou rc e s, Certifica tion Divisi on, Ann Arbor , MI , May 27, 1994.

EPA , 1 99 8: U .S. En vir on me nta l Pr ote c tio n A g e nc y , “ F ina l Re g ulator y I mpa c t A na ly sis : Con tr ol o f E mis sio ns fr om N on ro a d D ie se l E ng ine s, ” EPA 42 0- R- 98 -0 16 , O ff ic e of Ai r and Radiation, Off

ice of Mobile Sources, Eng ine Prog rams and Compliance Division. Aug ust 1998.

EPA, 2002a: U.S. Environmental Protection Ag ency , “Calcula tion of Ag e Distributions in the NONROAD Model: Growth and Scr appag e,” E PA420-P-02-017, OAR, OTA Q, J une 2002.

EPA , 2 00 2b : U .S. En vir on me nta l Pr ote c tio n A g e nc y , “ F ina l Re g ulator y Sup po rt Do c ume nt: Control of Emissions from Unr eg ulated Nonr oad Eng ines,” EPA420-R-02- 022, Offic e of Air and Radia tion, Office of Tra nsportation and Air Q uality , September 2002.

Carlson, 2003: Phil ip Carlson, U.S. Environmental Protection Ag ency , Assessment and Standards Division, Offic e of Tr ansportation and A ir Quality , persona l communication with K. Thesing , E.H. Pecha n & A ssociates, I nc., Aug ust 18, 2003.

Pechan, 2003: E.H . Pechan & Associates, Inc., “Propose d Approa ch for Modeling Nonroa d Controls in C ontrolNET (Revised) ,” Dr aft Repor ts, prepar ed for

I nnovative Strateg ies and Ec onomics Group, OAQ PS, U.S . Environmental Protec tion Age ncy , April 1 and May 27, 2003.PECHAN Ma y 2006

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### D-7 

## Tab le D -1

. Sum mar

y o f NO NR OA D Mo del C at ego ry C on tr ol Pr og ram s

S C C D e s c ri p tio n S ta n d a rd Ap p lic a b le H P P o l l u tan ts Speci f i c app l i cat i ons of 226 0* G asol i ne Cl ass I I I

, I V, and V engi nes 1 Ph a s e I / I I S m a l l S p a r kI gni t i on Handhel d Engi nes x < 2 5 h p HC, NO

S p e c if ic appl i cat i ons o f 2265* G a s o l i n e C l a s s I a n d II engi nes 1 Ph a s e I / I I S m a l l S p a r kIg n itio n N o n

- h a n d h e ld Engi nes x < 2 5 h p HC, NO

2260xxxxxx 2265xxxxxx 2267xxxxxx 2268xxxxxx 2- st r oke gasol i ne 4- st r oke gasol i ne Li quef i ed p et r ol eum g a s o l i n e ( L P G) C om pr essed nat ur al g a s o l i n e ( C N G) Ti e r 1 / Ti e r 2 L a r g e S p a r kI gni t i on x > = 2 5 h p HC, NO

, CO

22600 01010 G asol i ne O f f

- hi ghway M ot or cy cl es x Re c r e a t i o n a l V e h i c l e s A l l h p HC, NO

, CO

2 2 6 0 0 0 1 0 2 0 Ga s o l i n e S n o w m o b i l e s Re c r e a t i o n a l V e h i c l e s A l l h p HC, CO

x 2 2 6 0 0 0 1 0 3 0 Ga s o l i n e A TV s Re c r e a t i o n a l V e h i c l e s A l l h p HC, NO

, CO
22820 05xxx 22820 10xxx G a s o l i n e P l e a s u re C ra ft - O ut boar d, Per sonal W atercra ft

, an d I nb oa rd R ecr eat i onal M ar i ne Exhaust Em i ssi on St andar ds A l l h p E x h a u s t HC

22820 05xxx 22820 10xxx G a s o l i n e P l e a s u re C ra ft - O ut boar d, Per sonal W atercra ft

, an d I nb oa rd Evap or at i v e Em i ssi on St andar ds ( Pr oposed ) A l l hp E vap ora t i ve HC

2270xxxxxx D i esel Equi pm ent

D i es el P l ea s ure C raft T i er 1⁄2 / 3 Com pr essi onI gni t i on T i er 1⁄2 C om pr essi on- I gni t i on Al l hp

<50 hp x

H C

, NO

, PM

x 2 2 8 2 0 2 0 x x x Di e s e l P l e a s u r e Cr a f t Di e s e l Re c r e a t i o n a l Ma r i n e > 5 0 h p HC, NO

, CO, PM

E P A e s ta b l i s h e d te c h n o l o g y c l a s s e s b a s e d o n u s e (h a n d -h e l d ve rs u s n o n -h a n d h e l d a n d d i s p l a c e m e n t) 1
t hat ar e pr edom i nant l y 2- st r oke ( C l ass I I I

, I V, and V)

, or 4- st r oke ( C l ass I and I I ) eng i nes.PECHAN Ma y 2006

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### D-8 

## Tab le D -2 a. Co nt ro l F act or s b y N on ro ad Equ ip men t Cat ego ry f or 2010

SC C De scr ipt ion Fed er al Mea sure Co ntr ol Fact or (% ) 1

10 2.5 x VOC PM PM CO NO 22600 01010 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; M otor cy cles: O ff- roa d M otor cy cle 20% 20% 20% 9% -27 %

22600 01020 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; S now mobile s Sno w mobile 20% 10% 10% 17% -66 %

22600 01030 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; A ll T err ain Veh icles; AT Vs 34% 34% 34% 6% -27 %

22600 01060 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; S pecial ty

V ehicle s/C art s Lar ge S -I 13% 0% 0% 4% -23 %

22600 06000 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Co mmercia l Equ ipment Lar ge S -I 1% 0% 0% 1% -1%

22650 01010 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; M otor cy cles: O ff- roa d M otor cy cle 5% 0% 0% 14% 7%

22650 01030 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; A ll T err ain Veh icles; AT Vs 14% 0% 0% 5% 16%

22650 01060 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; S pecial ty

V ehicle s/C art s Lar ge S -I 17% 7% 7% 6% -26 %

22650 02000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Co nstr uctio n an d M ining E quipme nt Lar ge S -I 9% 5% 5% 5% 17%

22650 04000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Law n an d G ard en Equ ipment Lar ge S -I 10% 6% 6% 1% 1%

22650 05000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Agr icult ura l Equ ipment Lar ge S -I 19% 1% 1% 12% 28%

22650 06000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Co mmercia l Equ ipment Lar ge S -I 5% -4% -4% 3% -2%

22650 08000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Air por t G rou nd Sup por t E quipme nt Lar ge S -I 30% 0% 0% 31% 59%

22670 01060 O ff- highw ay LP G ; R ecre atio nal Equ ipment ; S pecial ty Veh icles/ Ca rts Lar ge S -I 21% 0% 0% 14% 23%

22670 02000 O ff- highw ay LP G ; C onstr uctio n an d M ining E quipme nt Lar ge S -I 58% 0% 0% 44% 61% 22670 03000 O ff- highw ay LP G ; I ndust rial E quipme nt Lar ge S -I 69% 6% 6% 52% 73% 22670 04000 O ff- highw ay LP G ; L aw n an d G ard en E quipme nt Lar ge S -I 72% 0% 0% 54% 76% 22670 05000 O ff- highw ay LP G ; A gricu ltur al E quipme nt Lar ge S -I 51% 0% 0% 38% 55% 22670 06000 O ff- highw ay LP G ; C ommerci al E quipme nt Lar ge S -I 42% 0% 0% 28% 44% 22670 08000 O ff- highw ay LP G ; A irpo rt G rou nd S uppor t E quipme nt Lar ge S -I 73% 0% 0% 54% 77% 22680 02000 O ff- highw ay C NG ; C onstr uctio n an d M ining E quipme nt Lar ge S -I 34% 0% 0% 23% 37% 22680 05000 O ff- highw ay C NG ; A gricu ltur al E quipme nt Lar ge S -I 54% 0% 0% 36% 60% 22680 06000 O ff- highw ay C NG ; C ommerci al E quipme nt Lar ge S -I 78% 0% 0% 75% 73% 22700 01000 O ff- highw ay V ehicle D iesel; R ecre atio nal Equ ipment C- I 26% 22% 22% 23% 14% 22700 02000 O ff- highw ay V ehicle D iesel; C onstr uctio n an d M ining Equ ipment C- I 53% 42% 42% 47% 41%

22700 03000 O ff- highw ay V ehicle D iesel; In dustr ial Equ ipment C- I 60% 42% 42% 37% 40% 22700 04000 O ff- highw ay V ehicle D iesel; Law n an d G ard en E quipme nt C- I 60% 48% 48% 46% 33% 22700 05000 O ff- highw ay V ehicle D iesel; A gricu ltur al E quipme nt C- I 56% 50% 50% 49% 36% 22700 06000 O ff- highw ay V ehicle D iesel; C ommerci al E quipme nt C- I 42% 33% 33% 33% 23% 22700 07000 O ff- highw ay V ehicle D iesel; Log ging Equ ipment C- I 55% 40% 40% 53% 49% 22700 08000 O ff- highw ay V ehicle D iesel; A irpo rt G rou nd S uppor t Equ ipment C- I 59% 50% 50% 52% 46%

22850 02015 Ra ilro ad E quipme nt; D iesel; R ailw ay M aint enance C- I 40% 41% 41% 40% 30% 22850 04015 Ra ilro ad E quipme nt; G asolin e, 4-S tro ke; Ra ilw ay

M aint enance Lar ge S -I 4% 0% 0% 2% 0%

22850 06015 Ra ilro ad E quipme nt; LP G ; R ailw ay M aint enance Lar ge S -I 43% 0% 0% 30% 47%

T he co ntr ol f

actor inco rpo rat es v alues for bot h con tro l ef

ficie ncy and ru le p enet rat ion. 1PECHAN Ma y 2006

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### D-9 

## Tab le D -2 b. C on tr ol F act or s b y N on ro ad Equ ip men t Cat ego ry f or 2015

SC C De scr ipt ion Fed er al Mea sure Co ntr ol Fact or (% ) 1

10 2.5 x VOC PM PM CO NO 22600 01010 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; M otor cy cles: O ff- roa d M otor cy cle 40% 41% 41% 18% -54 %

22600 01020 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; S now mobile s Sno w mobile 45% 31% 31% 38% -18 0%

22600 01030 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; A ll T err ain Veh icles; AT Vs 73% 73% 73% 14% -57 %

22600 01060 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; S pecial ty

V ehicle s/C art s Lar ge S -I 14% 0% 0% 4% -23 %

22600 06000 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Co mmercia l Equ ipment Lar ge S -I 1% 0% 0% 1% 0%

22650 01010 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; M otor cy cles: O ff- roa d M otor cy cle 10% 0% 0% 29% 14%

22650 01030 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; A ll T err ain Veh icles; AT Vs 27% 0% 0% 9% 30%

22650 01060 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; S pecial ty

V ehicle s/C art s Lar ge S -I 22% 7% 7% 8% -32 %

22650 02000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Co nstr uctio n and M ining E quipme nt Lar ge S -I 10% 5% 5% 6% 24%

22650 04000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Law n an d G ard en E quipme nt Lar ge S -I 10% 6% 6% 1% 2%

22650 05000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Agr icult ura l Equ ipment Lar ge S -I 24% 0% 0% 16% 38%

22650 06000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Co mmercia l Equ ipment Lar ge S -I 6% -4% -4% 4% 1%

22650 08000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Air por t G rou nd Sup por t E quipme nt Lar ge S -I 40% 0% 0% 43% 77%

22670 01060 O ff- highw ay LP G ; R ecre atio nal Equ ipment ; S pecial ty Veh icles/ Ca rts Lar ge S -I 38% 0% 0% 31% 41%

22670 02000 O ff- highw ay LP G ; C onstr uctio n an d M ining E quipme nt Lar ge S -I 81% 0% 0% 73% 81% 22670 03000 O ff- highw ay LP G ; I ndust rial E quipme nt Lar ge S -I 92% 6% 6% 86% 91% 22670 04000 O ff- highw ay LP G ; L aw n an d G ard en E quipme nt Lar ge S -I 92% 0% 0% 86% 91% 22670 05000 O ff- highw ay LP G ; A gricu ltur al E quipme nt Lar ge S -I 74% 0% 0% 66% 75% 22670 06000 O ff- highw ay LP G ; C ommerci al E quipme nt Lar ge S -I 67% 0% 0% 55% 67% 22670 08000 O ff- highw ay LP G ; A irpo rt G rou nd S uppor t E quipme nt Lar ge S -I 93% 0% 0% 87% 91% 22680 02000 O ff- highw ay C NG ; C onstr uctio n an d M ining E quipme nt Lar ge S -I 60% 0% 0% 49% 63% 22680 05000 O ff- highw ay C NG ; A gricu ltur al E quipme nt Lar ge S -I 88% 0% 0% 80% 88% 22680 06000 O ff- highw ay C NG ; C ommerci al E quipme nt Lar ge S -I 83% 0% 0% 79% 79% 22700 01000 O ff- highw ay V ehicle D iesel; R ecre atio nal Equ ipment C- I 38% 33% 33% 34% 21% 22700 02000 O ff- highw ay V ehicle D iesel; C onstr uctio n an d M ining Equ ipment C- I 65% 46% 46% 52% 53%

22700 03000 O ff- highw ay V ehicle D iesel; In dustr ial Equ ipment C- I 70% 40% 40% 37% 50% 22700 04000 O ff- highw ay V ehicle D iesel; Law n an d G ard en Equ ipment C- I 71% 55% 55% 52% 41%

22700 05000 O ff- highw ay V ehicle D iesel; A gricu ltur al E quipme nt C- I 68% 59% 59% 57% 48% 22700 06000 O ff- highw ay V ehicle D iesel; C ommerci al E quipme nt C- I 57% 44% 44% 43% 33% 22700 07000 O ff- highw ay V ehicle D iesel; Log ging Equ ipment C- I 64% 37% 37% 53% 59% 22700 08000 O ff- highw ay V ehicle D iesel; A irpo rt G rou nd S uppor t Equ ipment C- I 69% 52% 52% 56% 59%

22850 02015 Ra ilro ad E quipme nt; D iesel; R ailw ay M aint enance C- I 54% 50% 50% 52% 43% 22850 04015 Ra ilro ad E quipme nt; G asolin e, 4-S tro ke; Ra ilw ay

M aint enance Lar ge S -I 5% 0% 0% 2% 3%

22850 06015 Ra ilro ad E quipme nt; LP G ; R ailw ay M aint enance Lar ge S -I 74% 0% 0% 62% 77%

T he co ntr ol f

actor inco rpo rat es v alues for bot h con tro l ef

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### D-10 

## Tab le D -2 c. Co nt ro l F act or s b y N on ro ad Equ ip men t Cat ego ry f or 2020

SC C De scr ipt ion Fed er al Mea sure Co ntr ol Fact or (% ) 1

10 2.5 x VOC PM PM CO NO 22600 01010 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; M otor cy cles: O ff- roa d M otor cy cle 50% 51% 51% 22% -66 %

22600 01020 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; S now mobile s Sno w mobile 62% 49% 49% 51% -26 4%

22600 01030 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; A ll T err ain Veh icles; AT Vs 95% 95% 95% 19% -72 %

22600 01060 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; S pecial ty

V ehicle s/C art s Lar ge S -I 14% 0% 0% 4% -23 %

22600 06000 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Co mmercia l Equ ipment Lar ge S -I 1% 0% 0% 1% 0%

22650 01010 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; M otor cy cles: O ff- roa d M otor cy cle 12% 0% 0% 36% 17%

22650 01030 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; A ll T err ain Veh icles; AT Vs 33% 0% 0% 11% 36%

22650 01060 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; S pecial ty

V ehicle s/C art s Lar ge S -I 25% 6% 6% 10% -31 %

22650 02000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Co nstr uctio n and M ining E quipme nt Lar ge S -I 11% 5% 5% 7% 27%

22650 04000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Law n an d G ard en E quipme nt Lar ge S -I 10% 6% 6% 1% 2%

22650 05000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Agr icult ura l Equ ipment Lar ge S -I 28% -2% -2% 19% 44%

22650 06000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Co mmercia l Equ ipment Lar ge S -I 6% -4% -4% 4% 3%

22650 08000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Air por t G rou nd S uppor

t E quipme nt Lar ge S -I 42% 0% 0% 46% 81%

22670 01060 O ff- highw ay LP G ; R ecre atio nal Equ ipment ; S pecial ty Veh icles/ Ca rts Lar ge S -I 55% 0% 0% 47% 58%

22670 02000 O ff- highw ay LP G ; C onstr uctio n an d M ining Equ ipment Lar ge S -I 90% 0% 0% 84% 89%

22670 03000 O ff- highw ay LP G ; I ndust rial E quipme nt Lar ge S -I 95% 6% 6% 90% 93% 22670 04000 O ff- highw ay LP G ; L aw n an d G ard en E quipme nt Lar ge S -I 95% 0% 0% 90% 92% 22670 05000 O ff- highw ay LP G ; A gricu ltur al E quipme nt Lar ge S -I 83% 0% 0% 77% 82% 22670 06000 O ff- highw ay LP G ; C ommerci al E quipme nt Lar ge S -I 80% 0% 0% 70% 79% 22670 08000 O ff- highw ay LP G ; A irpo rt G rou nd S uppor t E quipme nt Lar ge S -I 95% 0% 0% 90% 92% 22680 02000 O ff- highw ay C NG ; C onstr uctio n an d M ining Equ ipment Lar ge S -I 82% 0% 0% 73% 83%

22680 05000 O ff- highw ay C NG ; A gricu ltur al E quipme nt Lar ge S -I 93% 0% 0% 90% 92% 22680 06000 O ff- highw ay C NG ; C ommerci al E quipme nt Lar ge S -I 87% 0% 0% 82% 84% 22700 01000 O ff- highw ay V ehicle D iesel; R ecre atio nal Equ ipment C- I 49% 43% 43% 44% 28% 22700 02000 O ff- highw ay V ehicle D iesel; C onstr uctio n an d M ining Equ ipment C- I 70% 48% 48% 54% 57%

22700 03000 O ff- highw ay V ehicle D iesel; In dustr ial Equ ipment C- I 72% 40% 40% 37% 52% 22700 04000 O ff- highw ay V ehicle D iesel; Law n an d G ard en Equ ipment C- I 75% 58% 58% 55% 45%

22700 05000 O ff- highw ay V ehicle D iesel; A gricu ltur al E quipme nt C- I 75% 63% 63% 61% 56% 22700 06000 O ff- highw ay V ehicle D iesel; C ommerci al E quipme nt C- I 67% 50% 50% 49% 41% 22700 07000 O ff- highw ay V ehicle D iesel; Log ging Equ ipment C- I 65% 37% 37% 53% 61% 22700 08000 O ff- highw ay V ehicle D iesel; A irpo rt G rou nd S uppor t Equ ipment C- I 72% 51% 51% 57% 64%

22850 02015 Ra ilro ad E quipme nt; D iesel; R ailw ay M aint enance C- I 65% 57% 57% 61% 53% 22850 04015 Ra ilro ad E quipme nt; G asolin e, 4-S tro ke; Ra ilw ay

M aint enance Lar ge S -I 5% 0% 0% 3% 4%

22850 06015 Ra ilro ad E quipme nt; LP G ; R ailw ay M aint enance Lar ge S -I 89% 0% 0% 84% 88%

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### D-11 

## Tab le D -2 d. C on tr ol F act or s b y N on ro ad Equ ip men t Cat ego ry f or 2030

SC C De scr ipt ion Fed er al Mea sure Co ntr ol Fact or (% ) 1

10 2.5 x VOC PM PM CO NO 22600 01010 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; M otor cy cles: O ff- roa d M otor cy cle 52% 52% 52% 23% -68 %

22600 01020 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; S now mobile s Sno w mobile 69% 58% 58% 56% -30 5%

22600 01030 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; A ll T err ain Veh icles; AT Vs 97% 97% 97% 20% -73 %

22600 01060 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Re crea tion al Equ ipment ; S pecial ty

V ehicle s/C art s Lar ge S -I 16% 0% 0% 4% -23 %

22600 06000 O ff- highw ay V ehicle G asolin e, 2-S tro ke; Co mmercia l Equ ipment Lar ge S -I 1% 0% 0% 1% 0%

22650 01010 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; M otor cy cles: O ff- roa d M otor cy cle 12% 0% 0% 37% 17%

22650 01030 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; A ll T err ain Veh icles; AT Vs 33% 0% 0% 12% 37%

22650 01060 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Re crea tion al Equ ipment ; S pecial ty

V ehicle s/C art s Lar ge S -I 27% 6% 6% 11% -26 %

22650 02000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Co nstr uctio n and M ining E quipme nt Lar ge S -I 12% 5% 5% 8% 29%

22650 04000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Law n an d G ard en E quipme nt Lar ge S -I 10% 6% 6% 0% 2%

22650 05000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Agr icult ura l Equ ipment Lar ge S -I 32% 3% 3% 23% 53%

22650 06000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Co mmercia l Equ ipment Lar ge S -I 6% 4% 4% 4% 3%

22650 08000 O ff- highw ay V ehicle G asolin e, 4-S tro ke; Air por t G rou nd S uppor

t E quipme nt Lar ge S -I 42% 0% 0% 46% 81%

22670 01060 O ff- highw ay LP G ; R ecre atio nal Equ ipment ; S pecial ty Veh icles/ Ca rts Lar ge S -I 83% 0% 0% 77% 83%

22670 02000 O ff- highw ay LP G ; C onstr uctio n an d M ining Equ ipment Lar ge S -I 94% 0% 0% 90% 92%

22670 03000 O ff- highw ay LP G ; I ndust rial E quipme nt Lar ge S -I 95% 6% 6% 91% 93% 22670 04000 O ff- highw ay LP G ; L aw n an d G ard en E quipme nt Lar ge S -I 95% 0% 0% 90% 92% 22670 05000 O ff- highw ay LP G ; A gricu ltur al E quipme nt Lar ge S -I 92% 0% 0% 87% 90% 22670 06000 O ff- highw ay LP G ; C ommerci al E quipme nt Lar ge S -I 91% 0% 0% 84% 91% 22670 08000 O ff- highw ay LP G ; A irpo rt G rou nd S uppor t E quipme nt Lar ge S -I 95% 0% 0% 90% 92% 22680 02000 O ff- highw ay C NG ; C onstr uctio n an d M ining Equ ipment Lar ge S -I 93% 0% 0% 88% 91%

22680 05000 O ff- highw ay C NG ; A gricu ltur al E quipme nt Lar ge S -I 94% 0% 0% 90% 92% 22680 06000 O ff- highw ay C NG ; C ommerci al E quipme nt Lar ge S -I 92% 0% 0% 88% 90% 22700 01000 O ff- highw ay V ehicle D iesel; R ecre atio nal Equ ipment C- I 67% 60% 60% 61% 41% 22700 02000 O ff- highw ay V ehicle D iesel; C onstr uctio n an d M ining Equ ipment C- I 74% 49% 49% 55% 59%

22700 03000 O ff- highw ay V ehicle D iesel; In dustr ial Equ ipment C- I 74% 41% 41% 38% 53% 22700 04000 O ff- highw ay V ehicle D iesel; Law n an d G ard en Equ ipment C- I 78% 60% 60% 57% 49%

22700 05000 O ff- highw ay V ehicle D iesel; A gricu ltur al E quipme nt C- I 79% 66% 66% 64% 63% 22700 06000 O ff- highw ay V ehicle D iesel; C ommerci al E quipme nt C- I 76% 57% 57% 55% 49% 22700 07000 O ff- highw ay V ehicle D iesel; Log ging Equ ipment C- I 65% 37% 37% 53% 61% 22700 08000 O ff- highw ay V ehicle D iesel; A irpo rt G rou nd S uppor t Equ ipment C- I 73% 51% 51% 58% 66%

22850 02015 Ra ilro ad E quipme nt; D iesel; R ailw ay M aint enance C- I 75% 61% 61% 66% 64% 22850 04015 Ra ilro ad E quipme nt; G asolin e, 4-S tro ke; Ra ilw ay

M aint enance Lar ge S -I 5% 0% 0% 3% 4%

22850 06015 Ra ilro ad E quipme nt; LP G ; R ailw ay M aint enance Lar ge S -I 94% 0% 0% 90% 92%

T he co ntr ol f

actor inco rpo rat es v alues for bot h con tro l ef

ficie ncy and ru le p enet rat ion. 1PECHAN Ma y 2006

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### D-12 

## Table D-3. Commerci al Se ctor Compressi on Ignition Engines < 50 HP

T i er C at ego r y 1999 2010 2010 A dj ust ed 1

T i er 2 17806 2 17806 2

T i er 1 6690 10556 3 10455 2

Base 44246 4 16553 0

T ot al 44915 4 44915 4

T i er 1 engi nes a dj ust ed t o r ef l ect t he f r act i on o f 199 9 en gi nes t hat 1

a re s ti l l o p e ra ti n g i n 2 0 1 0 , s i n c e s o m e p e rc e n ta g e w i l l b e s c ra p p e d

. T hese ar e t he n um ber of eng i nes t o whi ch cost s ar e ap pl i ed.PECHAN Ma y 2006

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N o. 06.05. 002/9011.002 Rep ort 

### D-13 

## Tab le D -4

. Perce nt age of En gi nes Scrap ped b y Eq ui pm ent C at ego ry , H or sepo w er Range and Implem entation Y ear For A dj usting Turnov er Rates for Tier 1 C-I Eng in es

SC C Eq uip ment D escr ipt ion HP R ang e 2010 % Scr app ed 2015 %

Scr app ed 2020 %

Scr app ed 2030 %

Scr app ed 22700 01000 Re crea tion al E quipme nt < 5 0 hp 7.9 12.7 19.3 75.5 22700 01000 Re crea tion al E quipme nt >=10 0 < 175 hp 3.9 5.9 8.1 13.4 22700 01000 Re crea tion al E quipme nt >=17 5 < 600 hp 3.9 5.9 8.1 13.4 22700 01000 Re crea tion al E quipme nt >=50 <1 00 h p 7.9 12.7 19.3 75.5 22700 01000 Re crea tion al E quipme nt >=60 0 < 750 hp 2.5 3.8 5.1 8 22700 01000 Re crea tion al E quipme nt >=75 0 hp 2.5 3.8 5.1 8 22700 02000 Co nstr uctio n an d M ining E quipme nt < 5 0 hp 88.2 100 100 100 22700 02000 Co nstr uctio n an d M ining E quipme nt >=10 0 < 175 hp 24.8 82.2 93.6 100 22700 02000 Co nstr uctio n an d M ining E quipme nt >=17 5 < 600 hp 34.3 87.1 97.3 100 22700 02000 Co nstr uctio n an d M ining E quipme nt >=50 <1 00 h p 92.0 100 100 100 22700 02000 Co nstr uctio n an d M ining E quipme nt >=60 0 < 750 hp 16.6 63.3 84.8 99.6 22700 02000 Co nstr uctio n an d M ining E quipme nt >=75 0 hp 21.0 77.6 90.6 100 22700 03000 Indu stri al E quipme nt < 5 0 hp 93.6 100 100 100 22700 03000 Indu stri al E quipme nt >=10 0 < 175 hp 55.2 88.5 98.5 100 22700 03000 Indu stri al E quipme nt >=17 5 < 600 hp 67.1 90.0 99.8 100 22700 03000 Indu stri al E quipme nt >=50 <1 00 h p 97.7 100 100 100 22700 03000 Indu stri al E quipme nt >=60 0 < 750 hp 19.0 73.7 88.4 100 22700 03000 Indu stri al E quipme nt >=75 0 hp 19.1 73.9 88.5 100 22700 04000 Law n an d G ard en E quipme nt < 5 0 hp 70.9 91.2 100 100 22700 04000 Law n an d G ard en E quipme nt >=10 0 < 175 hp 11.0 19.1 57.1 89.2 22700 04000 Law n an d G ard en E quipme nt >=17 5 < 600 hp 12.0 21.5 70.4 91.6 22700 04000 Law n an d G ard en E quipme nt >=50 <1 00 h p 36.6 87.6 97.8 100 22700 04000 Law n an d G ard en E quipme nt >=60 0 < 750 hp 8.7 14.2 22.4 80.5 22700 04000 Law n an d G ard en E quipme nt >=75 0 hp 5.9 9.2 13.2 25.8 22700 05000 Agr icult ura l E quipme nt < 5 0 hp 81.4 96.7 100 100 22700 05000 Agr icult ura l E quipme nt >=10 0 < 175 hp 9.4 15.7 25.9 83.8 22700 05000 Agr icult ura l E quipme nt >=17 5 < 600 hp 9.4 15.7 25.9 83.8 22700 05000 Agr icult ura l E quipme nt >=50 <1 00 h p 62.4 89.1 99.0 100 22700 05000 Agr icult ura l E quipme nt >=60 0 < 750 hp 6.5 10.3 14.9 34.0 22700 05000 Agr icult ura l E quipme nt >=75 0 hp 9.8 16.5 28.2 85.3 22700 06000 Co mmercia l E quipme nt < 5 0 hp 84.9 99.1 100 100 22700 06000 Co mmercia l E quipme nt >=10 0 < 175 hp 93.8 100 100 100 22700 06000 Co mmercia l E quipme nt >=17 5 < 600 hp 8.6 14.0 21.8 79.7 22700 06000 Co mmercia l E quipme nt >=50 <1 00 h p 100 100 100 100 22700 06000 Co mmercia l E quipme nt >=60 0 < 750 hp 74.4 92.7 100 100 22700 06000 Co mmercia l E quipme nt >=75 0 hp 4.8 7.4 10.4 18.1 22700 07000 Loggi ng E quipme nt < 5 0 hp 100 100 100 100 22700 07000 Loggi ng E quipme nt >=10 0 < 175 hp 95.9 100 100 100 22700 07000 Loggi ng E quipme nt >=17 5 < 600 hp 95.9 100 100 100 22700 07000 Loggi ng E quipme nt >=50 <1 00 h p 96.6 100 100 100 22700 07000 Loggi ng E quipme nt >=60 0 < 750 hp 78.4 94.8 100 100 22700 07000 Loggi ng E quipme nt >=75 0 hp 78.4 94.8 100 100 22700 08000 Air por

t E quipme nt < 5 0 hp 98.3 100 100 100 22700 08000 Air por

t E quipme nt >=10 0 < 175 hp 63.1 89.2 99.0 100 22700 08000 Air por

t E quipme nt >=17 5 < 600 hp 63.1 89.2 99.0 100 22700 08000 Air por

t E quipme nt >=50 <1 00 h p 98.3 100 100 100 22700 08000 Air por

t E quipme nt >=60 0 < 750 hp 15.8 38.4 83.3 98.5 22700 08000 Air por

t E quipme nt >=75 0 hp 15.8 38.4 83.3 98.5 22850 02015 Ra ilro ad E quipme nt < 5 0 hp 24.8 82.2 93.6 100 22850 02015 Ra ilro ad E quipme nt >=10 0 < 175 hp 9.5 15.8 26.2 84.0 22850 02015 Ra ilro ad E quipme nt >=17 5 < 600 hp 9.5 15.8 26.2 84.0 22850 02015 Ra ilro ad E quipme nt >=50 <1 00 h p 24.8 82.2 93.6 100 22850 02015 Ra ilro ad E quipme nt >=60 0 < 750 hp 5.9 9.1 13.0 25.1 22850 02015 Ra ilro ad E quipme nt >=75 0 hp 5.9 9.1 13.0 25.1PECHAN Ma y 2006

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### D-14 

## T a b l e D

- 5

. NO N R O A D M o d e l D e f a u l t S c r a p p a g e C u r

ve

Fr ac M edi an Li f e Used Per cent Scr app ed

0. 0588 1 0. 1694 3 0. 271 5 0. 3639 7 0. 4486 9 0. 5254 11 0. 5948 13 0. 657 15 0. 7125 17 0. 7617 19 0. 8049 21 0. 8425 23 0. 875 25 0. 9027 27 0. 9259 29 0. 9451 31 0. 9607 33 0. 973 35 0. 9824 37 0. 9894 39 0. 9942 41 0. 9973 43 0. 999 45 1 5 0 1. 001 55 1. 0027 57 1. 0058 59 1. 0106 61 1. 0176 63 1. 027 65 1. 0393 67 1. 0549 69 1. 0741 71 1. 0973 73 1. 125 75 1. 1575 77 1. 1951 79 1. 2383 81 1. 2875 83 1. 343 85 1. 4052 87 1. 4746 89 1. 5514 91 1. 6361 93 1. 729 95 1. 8306 97 1. 9412 99 2 100PECHAN Ma y 2006

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### D-15 

## Tab le D -6

. Nea r- te rm Co st s f or C om pr essio n- Ig ni ti on En gi nes

En gi ne H P R ang e C ost s per Eng i ne, $ 1998*

T i e r 1 T i e r 2 T i e r 3

< 5 0 h p 5 6 1 3 6 NA

> o r = 50 a nd < 100 hp 229 478 760

> o r = 100 and < 1 75 229 1, 095 1, 753

> o r = 175 and < 6 00 h p 229 1, 033 1, 905

> o r = 600 and < 7 50 h p 229 2, 899 5, 195

> o r = 7 5 0 h p 2 2 9 1

, 3 1 6 NA

*C os t s ap pl y t o a l l C -I en gi ne ca t eg ori es / ap pl i c ati on s , an d a re i ncr em ent al t o t he b ase t echnol ogy t y pe.



## Tab le D -7

. Nea r- te rm Co st s f or L arg e Sp ark- Ig ni ti on En gi nes

S C C T e c h T yp e * C o s ts p e r E n g i n e , $ 2 0 0 1 **

22600 00000 G 4G T 251 800

22600 00000 G 4G T 252 847

22650 00000 G 4G T 251 800

22650 00000 G 4G T 252 847

22850 04015 G 4G T 251 800

22850 04015 G 4G T 252 847

22670 00000 LG T 251 550

22670 00000 LG T 252 577

22680 00000 N G T 251 550

22680 00000 N G T 252 577

22850 06015 LG T 251 550

22850 06015 LG T 252 577

* T echnol ogy t y pes e ndi ng i n " 1" cor r espond t o Phase I of t he st andar ds, wi t h an i m pl em ent at i on y ear of 200 4, whi l e t echnol ogy t y pes endi ng i n " 2" cor r espond t o Phase I I of t he st andar ds, wi t h an i m pl em ent at i on y ear of 200 7.

* * C ost s ar e i ncr em ent al t o t he b ase t echnol ogy t y pe.PECHAN Ma y 2006

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### D-16 

## Tab le D -8

. Nea r- te rm Co st s f or L and -B ased R ecreat io nal En gi nes

S CC T ech Ty pe C ost per

eng i ne, 2 0 0 1 $ * C o s t B a s is

22 60 00 10 10 2-S t rok e G as ol i ne O ffH i ghway M ot or cy cl es R 14S1 296 Sum of 2- st r oke t o 4- st r oke conv er si on, pul se ai r / r ecal i br at i on, and com pl i ance

c o s ts

22 65 00 10 10 4-S t rok e G as ol i ne O ffH i ghway M ot or cy cl es R 14S1 46 Sum of pul se ai r / r ecal i br at i on a nd

c o m p l i a n c e c o s ts

22600 01020 2- St r oke G asol i ne

Snowm obi l es R 12S1 57 Sum of eng i ne m odi f i cat i ons, m odi f i ed

c a rb u re to r, a n d c o m p l i a n c e c o s ts

22600 01020 2- St r oke G asol i ne

Snowm obi l es R 14S 823 Sum of 2- st r oke t o 4- st r oke conv er si on, el ect r oni c f uel i nj ect i on, and com pl i ance

c o s ts

22600 01020 2- St r oke G asol i ne

Snowm obi l es R 12S2 317 Sum of di r ect f uel i nj ect i on co st s and

c o m p l i a n c e c o s ts

22600 01030 2- St r oke G asol i ne AT Vs R 14S1 378 Sum of 2- st r oke t o 4- st r oke conv er si on, p u l s e a i r, a n d c o m p l i a n c e c o s ts

2 2 6 5 0 0 1 0 3 0 4 -S tro k e G a s o l i n e A T V s R 1 4 S 1 4 7 S u m o f p u l s e a i r a n d c o m p l i a n c e c o s ts

* Al l cost s ar e wei ght ed b y sal es i n di spl acem ent cat egor i es, and ar e i ncr em ent al t o t he b ase t echnol ogy t y pePECHAN Ma y 2006

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# A P P E N D I X E : E X P O R T E D ME A S U R E S C O L U MN DE S CRI P TI ONSPECHAN Ma y 2006

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## [This page intentional ly left blank.]PECHAN Ma y 2006

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### E -1 

## CS M Exp or

t

Col um n Na m e De s c r i pt i on capcost C api t al C ost cpt on C ost Per T on

m sa M SA

f i ps st St at e FI PS

f i ps cn t y C ou nt y FI PS

s i c S IC

n a i c s NA I CS

sect or sect or

s c c S CC

p l a n ti d P l a n t I D pl ant nam e Pl ant N am e

p o i n ti d P o i n t I D

b o i l c a p B o i l e r C a p a c i ty

c a p u n its C a p a c ity U n it

o p l b r O p e ra ti n g L a b o r C o s ts

m n tl b r M a i n te n a n c e L a b o r C o s ts

spv l br Super v i sor Lab or C ost s

m n tm tl M a i n te n a n c e M a te ria l C o s ts

rp l m tl R e p l a c e m e n t M a te ria l C o s ts

e l e c E l e c tri c i ty C o s ts

s te a m S te a m C o s ts

fu e l F u e l C o s ts

w s td s p W a s te D i s p o s a l C o s ts

c h e m C h e m i c a l C o s ts

o m a tl O th e r R a w M a te ria l C o s ts

u ti l O th e r U ti l i ty C o s ts

td i r T o ta l D i re c t A n n u a l C o s ts

o v rh d O v e rh e a d C o s ts

a d m i n A d m i n i s tra ti v e C o s ts

p ro p tx P ro p e rty T a x C o s ts

i n s rn c In s u ra n c e C o s ts

ti n d i r T o ta l In d i re c t A n n u a l C o s ts

T he g r ey col um ns ar e on l y expo r t ed i f t he O M C ost checkbox i s sel ect ed.PECHAN Ma y 2006

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### E -2 

## LC M Exp or

t

Col um n Na m e De s c r i pt i on

r ec_num ber R ecor d Num ber

c ntl _m ea s C on t rol M ea s ure

s ou rce A C N S ou rce C ateg ory

em i s_t py Annual Basel i ne Em i ssi ons( T ons)

r educt i on C ur r ent C ont r ol R educt i on
i nc_r edn I ncr em ent al C ont r ol R educt i on
f i nal _em i s Em i ssi ons Af t er C ont r ol

prc t _C E C on t rol E ffi c i en c y (% )

t cost T ot al Annual i z ed Cost

i ncr e_cost I ncr em ent al Annual i z ed Cost
cpt on C ost Per T on
M SA M SA

f i ps st St at e FI PS

f i ps cn t y C ou nt y FI PS

s i c S IC

n a i c s NA I CS

sect or sect or

s c c S CC

p l a n ti d P l a n t I D pl ant nam e Pl ant N am e

p o i n ti d P o i n t I D

st ack St ack

segm ent Segm ent

c_em i s C um ul at i v e Em i ssi ons

c_r edn C um ul at i v e Reduct i on c_i nc_r edn C um ul at i v e I ncr em ent al R educt i on c_f i nal _em C um ul at i v e Fi nal Em i ssi ons c_t cost C um ul at i v e Annua l C ost c_i nc_cost C um ul at i v e I ncr em ent al Annual C ost c_cpt on C um ul at i v e Annua l C ost Per t onPECHAN Ma y 2006

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### E -3 

## Rep or t Exp or t

Col um n Na m e De s c r i pt i on

c ntl _m ea s C on t rol M ea s ure

s ou rce A C N S ou rce C ateg ory

em i s_t py Annual Basel i ne Em i ssi ons( T ons)

r educt i on C ur r ent C ont r ol R educt i on
f i nal _em i s Em i ssi ons Af t er C ont r ol

prc t _C E C on t rol E ffi c i en c y (% )

t cost T ot al Annual i z ed Cost
cpt on C ost Per T on

c_em i s C um ul at i v e Em i ssi ons

c_r edn C um ul at i v e Reduct i on c_f i nal _em C um ul at i v e Fi nal Em i ssi ons c_t cost C um ul at i v e Annua l C ost c_cpt on C um ul at i v e Annua l C ost Per t onPECHAN Ma y 2006

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### E -4 

## [This page intentional ly left blank.]PECHAN Ma y 2006

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# AP P ENDI X F : EX TERNAL TOOLS US ED TO CREATE AI RCO NT ROL NE T M AP P I NG AND GR AP HI NG CAP ABI LI TI ES

I n addition to Microsoft Visual FoxPro, the AirControlNET applica tion uses two supplementary

so ft wa re pr od uc ts t o c re a te the ma

pp inga nd g ra ph ingc a pa bil iti e s w ith in t

he too l. T he fi rs t is Gra phics Server

( www.g raphic sserve r.com ) which is used to a utomate the cr eation of customiz able plots within the least cost module. The se cond is Scalable Vec tor Gra phic (SVG) ( ww w. a do be .c om/ sv g /ma in. htm l ) i s u se d to pr ov ide the ma pp ingc a pa bil iti e s w ith in AirControlNET.

G r aphi c s Se r ve r and A ir Co nt r olN ET G r aphs

Ai rC on tr olN ET c a n c re a te tw o ty pe s o f g ra ph s f ro m L CM q

ue ry – “ An nu a lize d T ota l Co st v s. Total Reductions (in tons)” a nd “$ / ton vs. Total Reductions (in tons)”. The two g raphs available for display

and export from the L CM are c rea ted using a third-pa rty module named

“ Gr a ph ic s Se rv e r” . G ra

ph ic Se rv e r i s a

g ra ph ingtoo l us e d b y

Wind ow s d e ve lop e rs to a uto ma te the cr eation of nume ric g raphs. I t is used for adding g raphs a nd char ts to W indows and Web

a pp lic a tio ns in V isu a l Stu dio , V isu a l B a sic , C , D e lph i, F oxPr o a nd oth e r l a ng ua g e s. Th is ++



## ro bu st g ra

ph ingmod

ule c a n d isp la y

a wi de va ri e ty of g ra ph s a nd pr ov ide s a

ru nti me pr op e rt

y pa g e fo r d

y na mic a lly a lte ri ng se tti ng s, a nd

e xpor t se ve ra l im a g e fo rm a ts.

For Annualized Total Cost vs. Total Reductions gra ph, cumulative incr emental c ost and cumulative incr emental r eductions data are used as de pendent a

nd independe nt data of the g raphs
respe ctively . For

$ / ton vs. Total Reductions (in tons) gr aph, Cost per ton and total re ductions (in tons) are used as de pendent a nd independe nt data of g raphs r espec tively . Cumulative calc ulation for incr emental c ost and incre mental re duction are perf ormed in L east Cost Module. AirControlNET only

display s g raphs f

or the L east Cost Module. Since g raph c alculation uses cumulative incr emental da ta, g raphs c an only be cr eate d from data

query in L east Cost Module.

When AirControlNET is instructed to display a g raph, the specifie d data is extracted f rom the

curr ently display ed g rid in the L CM and is inserted into the g raphs da ta ar ray s. Due to a lim ita tio n in

Gr a ph ic s Se rv e r, a ll g ra

ph s a re c a pp e d a t ha

vin g 32 ,0 00 e ntr ie s. Th is m e a ns that a ll
g raphs will display

up to the first 32,000 rows in any L CM gr id. Once the data ha s been inser ted into the gr aph, ACN sets de fault labe ls and display s the g raph w indow. The AirControlNET
g raph w indow contains an instanc e of the Gra ph ActiveX c ontrol, a edit box used for listing the
query criter ia, a pr operties button, and a n export butt on. The g raph pr operties c an be a ltered by

c lic kin g the pr op e rt ie s b utt on wh ic h la un c he s th e g ra

ph ic s se rv e r p ro pe rt

y pa g e s. Expo rt ingis also handled by

a g raph f unction and is initiated by clicking the Export butt on.

Scalable Vect or G raphic and AirContr olNET Mapp ing Capab ilities

Sc a la ble Ve c tor

Gr a ph ic s ( SVG ) i s u se d to c re a te re a l- tim e ma pp ingc a pa bil iti e s w ith in AirControlNET. SVG is a text-based g raphic s lang uag e that desc ribes imag es with vec tor sh a pe s, te xt, a nd

e mbe dd e d r a ste r g ra

ph ic s. SVG fi le s a

re c omp a c t a nd

pr ov ide hig h- qu a lit yPECHAN Ma y 2006

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### F -2 

## g raphic s on the Web, in print, and on resour ce- limit ed handhe ld devices. I n addition, SVG supports scripting and animation, so is ideal for interac tive, data- driven, pe rsonalized g raphic s. SVG is a roy alty -fr ee ve ndor-ne utral open standa rd deve loped under

the W3C (W orld Wide W eb Con so rt ium ) P ro c e ss.

Whe n c on tr ols a re se le c te d in the Con tr ol S c e na

ri os Mo du le or

dis pla y e d in the L e a st C os t Module g rid, the AirControlNET mapping module become s available . The map se tup window that is display ed allows the use r to set var ious map options. W hen the Vie w Map or Save Map button is clicked, a SVG map f ile is created containing the spec ified data from either

the CSM or L CM.

AirControlNET maps ar e compose d by concatenating intermediate SVG files deve loped by Pechan. B efor e runtime map c rea tion can happe n, these interme diate SVG files, whic h will be dubbed “the base ma

p” fr om here on, need to be cre ated. The first step in cre ating the base map is a c c omp lis he d u sin g ESR I ’s Ar c Vi e w, a GI S a pp lic a tio n, to e xtra c t a ll n e c e ssa ry g e og ra ph ic ob je c ts.

First, Ar cView

is used to cre ate a

map containing states, counties, MSAs, and a ll of the optional map lay ers ( Tribal ar eas, N ational Parks, Class1 Tribes, Class1 NPS, Class1 Forest Servic e, Class1 Fish and Wildli fe Ser vices, I nterstates, Railroa ds, Rivers, and L akes) . Then, a n extraction script is used to export every lay er to a n initial S VG file. The extraction script, using the Ar c Vi e w A PI , c re a te s a

SVG te xt fi le , d e te rm ine s th e ma p’ s c oo rd inate sy ste m, a

nd the n e xpor

ts

a ll s ha pe s la y e rs by la y e r b y e xec uti ng the fo llo wi ng ste ps :

Ob ta in a nd ite rate thr ou g h th e la y e r l ist 1. F or

the c ur re nt l a y e r, ob ta in a

nd ite rate thr ou g h th e sh a

pe lis t ( e .g . a

lis t of the c ou nti e s in the county

lay er) 2. I f the c urre nt shape is a c ollection of points, cre ate a SVG point object, otherwise c rea te a SVG path object 3. F or

the c ur re nt s ha pe , o bta in, ite ra

te thr ou g h, a nd

wr ite ou t a ll v e rt ic e s in

the ve rt e x list

Th e se c on d s te p in

c re a tin g the ba se SVG ma p is to s e pa

ratin g e a c h o f t

he e xpor te d la y e rs int o their own files. Curr ently , this is a manual proce ss acc omplished using any text editor. Now, the initial map is ready

to be deve loped.

AirControlNET maps ar e compose d of a title bar and a ta b controlled viewwhich has two mod e s: m a

p ( de fa ult ) a nd no te s. Th e no te s v ie w i s f ill e d a t r un tim e a nd du ri ng de ve lop me nt i s a blank pag e. The map view is split into t wo ar eas: the c ontrol panel a nd the map ca

nvas. The control pane l contains the map thumbnail, pollutant combo box , leg end, and la y er c heck boxes. The map thumbnail is used to zoom and pan the viewa ble ar ea of

the map ca

nvas. The pollutant

c omb o b ox a llo ws the us e r t o s wi tc h th e po llu ta nt t he ma p is sh a de d b y . Wh e n a

ne w p oll uta

nt i s selec ted, the leg end is also updated. T he leg end consists of eig ht entries ea ch consisting of a color indica tor and a

value. All fe ature s (states, counties, or MSAs) with data less than the specifie d leg end value and g rea ter than the previous value use the spec ified color. A t runtime,
t h e u s e r h a s a n o p t i o n t o s p e c i f

y t h e n u m b e r

o f r a n g e s , o r

l e g e n d e n t r i e s , t o u s e w h i c h i s a l w a ys betwee n there and eig ht. The lay er c heck boxes are used to show and hide the map lay ers. Eve ryPECHAN Ma y 2006

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### F -3 

## ma p h a s a sta te la y e r, wh ic h is a lw a y s o n, c ou nty la y e r, a nd

a MSA la y e r. Th e op tio na l la y e rs , also selec ted at run time, c an be tur ned on an of

f if they are loaded into the map.

Once the initial SVG and script code is written, the map is split int o intermediate SVG files (i.e. the “ba se map” ). These files ar e split around two main sec tions of the initial map: the script

se c tio n a nd op tio na l la

y e rs se c tio n. Whe n c re a tin g a ma p, Ai rC on tr olN ET c on c a te na te s th e fi rs t intermediate file with the map da ta which is re prese nted as a rra y s at the beg inning of

the script section. The r esulting te x t and the next intermediate file a re a ppended. T his process is re peate d with the optional SVG lay ers a nd the final interme diate file. When c omplete, the new AirControlNET map is display ed.PECHAN Ma y 2006

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### F -4 

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