POMI EMISSION INVENTORY

IES - Institute for Environment and SustainabilityIspra - Italy

http://ies.jrc.ec.europa.eu/

http://www.jrc.ec.europa.eu/

Joint Research Centre (JRC)

JRC Milan 30/09/2009 – INEMAR 1

POMI EMISSION INVENTORY


1. Checked the procedure followed for the preparation of the emission inventory base case






NAZIONAL EMISSION INVENTORY

EMISSIONIGRIGLIATE

REGIONAL EMISSION INVENTORY (INEMAR)UNECE/EMEP

Urban road Italia

+ EMEP su griglia nazioni confinanti

Land use/sector assignation profiles

0.00

0.20

0.40

0.60

0.80

1.00

1.20

Co

nti

nu

ou

s

urb

an

fa

bri

cD

isc

on

tin

uo

us

urb

an

fa

bri

cIn

du

str

ial

or

co

mm

erc

ial

Ro

ad

an

d r

ail

ne

two

rks

an

d

Air

po

rts

Min

era

l

ex

tra

cti

on

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mp

sit

es

Co

ns

tru

cti

on

sit

es

Gre

en

urb

an

are

as

Sp

ort

an

d

leis

ure

No

n-i

rrig

ate

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ara

ble

la

nd

Ric

e f

ield

s

Vin

ey

ard

s

Oli

ve

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Pa

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res

An

nu

al

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as

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ted

Co

mp

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on

La

nd

pri

nc

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Bro

ad

-le

av

ed

fore

st

Co

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fore

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Mix

ed

fo

res

t

Na

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ss

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Mo

ors

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ath

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ran

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d-

Be

ac

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sa

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Ba

re r

oc

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Sp

ars

ely

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ge

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ma

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es

Wa

ter

co

urs

es

Wa

ter

bo

die

s

Land Use

Weights Industry(1/3/4)Resid.Combustion (2)Fossile Comb. (5/6)trasp (7)Off-Road Transport (8)Waste manag. (9)Agriculture (10)Nature (11)

PROXY DB

INPUT FOR MODELERS

Linear PointAreal

Areal+ LinearPoint sourcesArea

+ linear+ point

Land use + Profiles IMPRESAREO

RDBMS

Highway +Extraurban road

without coordinate


2. Intercomparison within regional/national PM10 emission inventory

0

1.000

2.000

3.000

4.000

5.000

6.000

7.000

8.000

Com

bust

ion

in

ener

gy a

nd

tran

sfor

mat

ion

indu

stry

Non

-ind

ustr

ial

com

bust

ion

plan

ts

Com

bust

ion

in

man

ufac

turi

ng

indu

stry

Pro

duct

ion

proc

esse

s

Ext

ract

ion

and

dist

ribu

tion

of

foss

il fu

els

Sol

vent

and

othe

r pr

oduc

t

use

Roa

d tr

ansp

ort

Oth

er m

obile

sour

ces

and

mac

hine

ry

Was

te tr

atm

ent

and

disp

osal

Agr

icul

ture

Oth

er s

ourc

es

and

sink

s

1 2 3 4 5 6 7 8 9 10 11

t y-1

APAT

INEMAR

ISPRA (ex APAT)


2. Intercomparison within regional/national NOX emission inventory

0

10.000

20.000

30.000

40.000

50.000

60.000

70.000

80.000

90.000

100.000

Co

mb

ust

ion

in

ener

gy

an

d

tran

sfo

rmat

ion

ind

ust

ry

No

n-i

nd

ust

rial

com

bu

stio

n

pla

nts

Co

mb

ust

ion

in

man

ufa

ctu

rin

g

ind

ust

ry

Pro

du

ctio

n

pro

cess

es

Ex

trac

tio

n a

nd

dis

trib

uti

on

of

foss

il f

uel

s

So

lven

t an

d

oth

er p

rod

uct

use

Ro

ad t

ran

spo

rt

Oth

er m

ob

ile

sou

rces

an

d

mac

hin

ery

Was

te

trat

men

t an

d

dis

po

sal

Ag

ricu

ltu

re

Oth

er s

ou

rces

and

sin

ks

1 2 3 4 5 6 7 8 9 10 11

t y-1

APAT

INEMAR

ISPRA (ex APAT)


2. Intercomparison within regional/national emission inventory

-40%

-30%

-20%

-10%

0%

10%

20%

30%

40%

SO2 NOx NMVOC CH4 CO CO2 N2O NH3 PM2.5 PM10


2. Intercomparison within POMI/national emission inventory (regions providing the complete INEMAR)

-15%

-10%

-5%

0%

5%

10%

15%

20%

25%

30%

35%

SO2 NOx COV CO NH3 PM10 PM2.5


2. Intercomparison within POMI/national emission inventory

0%

5%

10%

15%

20%

25%

30%

35%

40%



2. Intercomparison within POMI/national emission inventory - PM10

-

5,000

10,000

15,000

20,000

25,000

30,000

1-P

rod

uzio

ne

en

erg

ia e

tra

sfo

rm. co

mb

ustib

ili

2-C

om

bu

stio

ne

no

n

ind

ustr

iale

3-C

om

bu

stio

ne

ne

ll'in

du

str

ia

4-P

roce

ssi p

rod

uttiv

i

5-E

str

azio

ne

e

dis

trib

uzio

ne

co

mb

ustib

ili

6-U

so

di so

lve

nti

7-T

rasp

ort

o s

u s

tra

da

8-A

ltre

so

rge

nti m

ob

ili e

ma

cch

ina

ri

9-T

ratta

me

nto

e

sm

altim

en

to r

ifiu

ti

10

-Ag

rico

ltu

ra

11

-Altre

so

rge

nti e

asso

rbim

en

ti

t y-1

ISPRA (EX APAT)

POMI


2. Intercomparison within POMI/national emission inventory - NOx

-

50,000

100,000

150,000

200,000

250,000

300,0001

-Pro

du

zio

ne

en

erg

ia e

tra

sfo

rm. c

om

bu

stib

ili

2-C

om

bu

stio

ne

no

nin

du

stri

ale

3-C

om

bu

stio

ne

ne

ll'in

du

stri

a

4-P

roce

ssi p

rod

utti

vi

5-E

stra

zio

ne

ed

istr

ibu

zio

ne

co

mb

ust

ibili

6-U

so d

i so

lve

nti

7-T

rasp

ort

o s

u s

tra

da

8-A

ltre

so

rge

nti

mo

bili

em

acc

hin

ari

9-T

ratta

me

nto

esm

alti

me

nto

rifi

uti

10

-Ag

rico

ltura

11

-Altr

e s

org

en

ti e

ass

orb

ime

nti

SNAP

t y-1

ISPRA (EX APAT)

POMI


3. Which are the main sources of PM ?

0%

20%

40%

60%

80%

100%

SO2 NOx COV CH4 CO CO2 N2O NH3 PM2.5 PM10

Combustion and energy transformation industry Non industrial combustion plants

Industrial combustion plants Production process

Extraction and distribution of fossil fuel Solvent

Road transport Other mobile source machinery

Waste treatment and disposal Agriculture

Other sources

0%

20%

40%

60%

80%

100%

PM2.5 PM10 TSP SO2 NOx NMVOC CO CO2 eq

no fuel

others

fuel oil

natural gas

wood

kerosene

LPG

gasoil

refinery gas

diesel

coal

gasoline


C.A.T.I. (Computer AidedTelephone

Interview) for 18.085 families

3.1 Residential wood combustion?

Activity data Emission factors? Temporal profile


0%

5%

10%

15%

20%

25%

30%

Berga

mo

Bresc

ia

Como

Crem

ona

Lecc

oLo

di

Man

tova

Mila

noPav

ia

Sondr

io

Vares

e

2008 2005

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Berga

mo

Bresc

ia

Como

Crem

ona

Lecc

oLo

di

Man

tova

Mila

noPav

ia

Sondr

io

Vares

e

aver

age

2005

Mila

n 20

05

Traditional fireplace Traditional stove, close fireplace Innovative stove BAT




Activity data Emission factors

PM

?Temporal profile

0

200

400

600

800

1000

1200

1400

1600

Camino aperto Stufa tradizionale Camino chiuso o inserto Stufa o caldaia innovativa Sistema BAT a legna ostufa pellets; sistema BAT

pelletsTraditional

fireplace

Traditional

stove

Close fireplace

Innovativestove

BAT0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

Camino tradizionale Stufa tradizionale camino chiuso Stufa innovativa BAT

INEMAR GUIDEBOOK IIASA

Traditional

fireplaceTraditional

stove

Close fireplace

Innovativestove

BAT

INEMAR GUIDEBOOK IIASAPM NOx VOC


Other mobile source machinery

Road transport

Extraction and distribution of fossil

fuelProduction process

Industrial combustion plants

Non industrial combustion plants

Other sources

Combustion and energy

transformation industryAgriculture

Waste treatment and disposal

PM Emission inventory



Activity data Emission factors

Temporal profile?

-

0.5

1.0

1.5

2.0

2.5

3.0

3.5

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Winter

Spring

Summer

Autumn


Fuel consumption for areal traffic

Linear traffic

Copert IV (E.F.)

Linear traffic emissions

Fuel sold

Fuel consumption

factors

Fuel used

Copert IV (E.F.)

Urban traffic emissions

3.2 Road transport?


Emission considering or not the gradient of the street for different vehicle load

0.90

0.95

1.00

1.05

1.10

1.15

LP 100

LP 50

3.2 Road transport?


Applied a different methodology for estimating emission from road transport sectors (ARTEMIS/HBEFA)

Considering the so-called go-trough trafficAnalisi di incertezza aggiornata sui fattori di

emissione COPERT IV

Still ongoing…


PM10

0.0% 20.0% 40.0% 60.0% 80.0% 100.0%

roughness length (Z0 * 5)

Wind intensity (W/2)

Nudged meteo

WB seasonal reallocation (VOC-PM)

WB emission factor (VOC-PM)

S7 emission factor (VOC-Nox-PM)

32-64 bit compiler

WB temporal distribution

Impact of NH3 emissions

Impact of S2 emissions

Impact of traffic

Impact of all Surf. Sources

Impact of all sources

Impact of Traffic & heating

Mean Lomb

Bormio

Ispra

Milan

POMI domain


0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%


Produzione energia e trasformazione combustibili Combustione non industriale Combustione nell'industria

Processi produttivi Estrazione e distribuzione combustibili Uso di solventi

Trasporto su strada Altre sorgenti mobili e macchinari Trattamento e smaltimento rifiuti

Agricoltura Altre sorgenti e assorbimenti

POMI domain


POMI domain

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%


puntuali diffuse lineare


Base Case Isoprene emissions

LIMITO - O3

0

20

40

60

80

100

120

140

26/6 27/6 28/6 29/6 30/6 1/7

pp

b

Measured pa_0.1_hkv pa_0.1_hkv_nobgRE_SLAZZ - O3

0

20

40

60

80

100

120

140

26/6 27/6 28/6 29/6 30/6 1/7

pp

b

Measured pa_0.1_hkv pa_0.1_hkv_nobg

MANDRIA - O3

0

20

40

60

80

100

120

140

26/6 27/6 28/6 29/6 30/6 1/7

pp

b

Measured pa_0.1_hkv pa_0.1_hkv_nobg

2005cle

2005cle_nobiog


Base Case

Isoprene emissionsBVOC – Po valley domain

- Italian emission inventory: 200 kton/y

- MEGAN estimate: 700 kton/yPOMI domain - average VOC emissions (12 - 30 June 2005)

-

50,000

100,000

150,000

200,000

250,000

NO

NO

2

AL

D2

AL

DX

CH

4

ET

H

ET

HA

ET

OH

FO

RM

IOL

E

ISO

P

ME

OH

OL

E

PA

R

TE

RP

TO

L

XY

L

NH

3

SO

2

mo

l/ce

ll

All

Biogenic

Anthrop


Grazie per l’attenzione!



2012 CLE

RAINS - IT REGIONAL INPUT


RAINS-Europe Model is Regional Air Pollution Information and Simulation, developed by IIASA, which has been officially used

for the negotiations in the context of both the Gothenburg protocol and the 2001/81/EC Directive (NEC Directive).

RAINS/GAINS


HARMONISATION

CLE SCENARIO

RAINS – IT

ENERGY

MARKAL (MARKET

ALLOCATION) is model of

optimization of the energy

system

Industry

Based on national statistics,

projections of economic activity

and non-energy macro-economic

factors such as GDP

Control strategyIt takes into account the existing

legislation0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

2005 2010 2015 2020

SO2 NOX PM10 PM2.5 NH3 COV

Regional level


2012 CLE


Harmonization

CLE Scenario

Energy

Productive Activities

Control strategies


Emission scenario - 2012 CLE (Current LEgislation)

4 kinds of source emissions:

Diffused emission

SNAP02 – Non industrial combustion plants

Road Transport

Point sources

2012 CLE – Lombardy region


Emission scenario - 2012 CLE (Current LEgislation)

4 kinds of source emissions:

Diffused emission

SNAP02 – Non industrial combustion plants

Road Transport

Point sources


Interpolation of RAINS DATA 2005-2010-2015

PAE – regional energy plan

Technological scenario and fuels consumption scenario

Provided by ARPA Lombardia


-

0.20

0.40

0.60

0.80

1.00

1.20

NOx COV PM10 PM2.5

2005

2012 CLE



2012 CLE


Harmonization

CLE Scenario

Energy


Control strategies

Base case

CLE Scenario

PAE –regional energy plan

Road transport trends

Rains for diffused emission






Emission scenario


Europe Po-Valley Lombardy

2005 BC2005 BC1 2005 BC1

2005 BC2 (emissions Temp fac.+met) 2005 BC2

2012 CLE

2012 CLE

2012 CLE

2012 AQP

2012 CES

2012 MFR

2012 MFR 2012 MFR

2012 CLE (Po traff & Inemar 2007) ?

2012 CLE (Lombardy background) ?

2012 CLE (Meteorology 2)

2012 CLE (Bound. Cond. CHIMERE)

2012 CLE (Po backg)

2015 CLE 2015 CLE (AQP?) 2015 AQP

2020 CLE2020 CLE (AQP?)

2020 AQP

2020 CES

2020 MFR 2020 MFR

2 5 7 9 7 7 7 8 7 7 7

CHIMERE – EMEP – CAMx – RCG -- AURORA


2012 (CLE & AQP)

RAINS - IT REGIONAL INPUT or PLAN

Harmonization

CLE Scenario

Energy


Control strategies

Air quality measures

AQP

Base case

CLE Scenario

PAE –regional energy plan

Road transport trends

Rains for area emission


AQP


2012 AQP – Lombardy region

1 HDVs, LDVsReplacement of all the LDV < Euro 3 with Euro 5, equipped with particulate filter, and

of all HDV < Euro 3 with Euro 5, equipped with particulate filter

2 Passenger cars Replacement of all the diesel and gasoline PCs < Euro 3

3 Mopeds and motrocycle Replacement of all the mopeds and motorcycles Euro 1 and Euro 2 two strokes.

4 LPG & CNG Increase of the LPG & CNG stations and increase of the public incentives for LPG &

CNG sells

5 biodiesel Increase of the use of biodisel

6Improvements in the railways

sector Increase of the number of trains circulatin in Lombardy region

7Improvements in the pubblic

transport sector Increase of the service offered by the tranposrt public system of the Mina area


transport sector Euro 0 buses will be replaced by newer one (Euro 4 or 5) and particulate filter will be

added

9 Pollution chargeMilano municipality has applided a pollution charge area : decrease of 130.000

vehicles circualting in the city

D.G. Qualità dell'Ambiente - Struttura Protezione Aria

SCENARIO 2012

TRASPO

RT

MEASURES DESCRIPTIONN.

a. TRANSPORT

TECHNOLOGICAL

FUEL

PUBLIC TRANSPORT

POLLUTION CHARGE



b. ENERGY

10 Heating system diffusion of the CNG 11 Energy certification of buildings energy certification of buildings for new building or recostruction12 Pubblic lighting system renewal of pubblic lighting system with newer tecnology 13 Heating accounting system increase of the heating accounting system for apartement block14 Electrical Domestic Equipment increase of GREEN electrical accounting equipment15 MSW electricity from municipal solid waste16 biogas biogas from municipal solid waste21 District heating22 Biomass

23 Solar panel

26 Photovoltaic generator

27 Eolic energy

28 Hydropower

Renewable energy

N. MEASURES DESCRIPTION

EN

ERG

IA

EFFICIENCY

RENEWABLE


2015/2020 (CLE & AQP)

RAINS - IT

Harmonization

CLE Scenario

Energy


Control strategies


AQP


As soon as possible….

2012 AQP

2015 CLE

2015 AQP

2020 CLE

2020 AQP

2012 CLE (Lombardy background) ? 2012 CLE (Po traff & Inemar 2007) ? MFR will be realized for RIAT. It will be used for POMI too in order to guarantee the

consistency POMI/RIAT (availability of their data)


Thank you for your attention !



1 HDVs, LDVsReplacement of all the LDV < Euro 3 with Euro 5, equipped with particulate filter, and

of all HDV < Euro 3 with Euro 5, equipped with particulate filter

2 Passenger cars Replacement of all the diesel and gasoline PCs < Euro 3

3 Mopeds and motrocycle Replacement of all the mopeds and motorcycles Euro 1 and Euro 2 two strokes.

4 LPG & CNG Increase of the LPG & CNG stations and increase of the public incentives for LPG &

CNG sells

5 biodiesel Increase of the use of biodisel

6Improvements in the railways

sector Increase of the number of trains circulatin in Lombardy region


transport sector Increase of the service offered by the tranposrt public system of the Mina area


transport sector Euro 0 buses will be replaced by newer one (Euro 4 or 5) and particulate filter will be

added

9 Pollution chargeMilano municipality has applided a pollution charge area : decrease of 130.000

vehicles circualting in the city

D.G. Qualità dell'Ambiente - Struttura Protezione Aria

SCENARIO 2012

TRASPO

RT

MEASURES DESCRIPTIONN.

a. TRANSPORT


Estimation of an average emission factors for the LDV sector in 2012 - CLE scenario


FE2012CLE

Definition of the fleet composition for the year 2012




FE2012CLE

Definition of the fleet composition for the year 2012Definition of the vehicle mileage for each euro category in 2012

-

20,000

40,000

60,000

80,000

100,000

120,000

140,000

160,000

Conventional Euro I Euro II Euro III Euro IV EuroV

Vehicle number Mileage




FE2012CLE

Definition of the fleet composition for the year 2012Definition of the vehicle mileage for each euro category in 2012Definition of an average emission factor for the LDV sector, weighted

using mileage and vehicle number - CLE scenario

LDV < 3.5 t diesel Conventional 342 2165 171 76984 9,113LDV < 3.5 t diesel Euro I 131 1330 171 53736 15,991LDV < 3.5 t diesel Euro II 131 1330 171 57676 19,843LDV < 3.5 t diesel Euro III 104 1105 112 90280 22,361LDV < 3.5 t diesel Euro IV 71 893 42 125865 23,300LDV < 3.5 t diesel EuroV 31 643 42 157490 23,488CLE- average EF 151 1,358 146

Sector Fuel Euro category Vehicle numberPM10

[mg/km/veh]NOx

[mg/km/veh]COV

[mg/km/veh]Mileage



Estimation of an average emission factors for the LDV sector in 2012 - AQP scenario (all pre EURO 3 vehicles replaced by EURO V)


FE2012CLE

FE2012AQP

LDV < 3.5 t diesel Conventional 342 2165 171 76984 9,113LDV < 3.5 t diesel Euro I 131 1330 171 53736 15,991LDV < 3.5 t diesel Euro II 131 1330 171 57676 19,843LDV < 3.5 t diesel Euro III 104 1105 112 90280 22,361LDV < 3.5 t diesel Euro IV 71 893 42 125865 23,300LDV < 3.5 t diesel EuroV 31 643 42 157490 23,488CLE- average EF 151 1,358 146AQP - average EF 31 643 42

MileageSector Fuel Euro category Vehicle numberPM10

[mg/km/veh]NOx

[mg/km/veh]COV

[mg/km/veh]



Estimation of an average emission factors for the LDV sector in 2012 - AQP scenario (all pre EURO 3 vehicles converted to EURO V)

Estimation of the contribution of the pre EURO 3 vehicle to the total LDV transport emission


FE2012CLE

FE2012AQP

ELDV,<EURO3



Estimation of an average emission factors for the LDV sector in 2012 - AQP scenario (all pre EURO 3 vehicles converted to EURO V)

Estimation of the contribution of the pre EURO 3 vehicle to the total LDV transport emission

Calculation of emission variation


FE2012CLE

FE2012AQP

ELDV,<EURO3

ELDV, AQP = ELDV,<EURO3 *FE2012AQP/FE2012CLE


Preliminary results

PM10 NOx COV

-61% -36% -68%


PM10 NOx COV PM10 NOx COV PM10 NOx COVPC gasoline 7 2,535 1,633 40 3,286 2,283 16.5% 77.1% 71.5%PC diesel 234 3,772 216 655 17,448 898 35.7% 21.6% 24.1%PC CNG (0) (107) (17) - 22 7 0.0% -474.2% -232.8%PC LPG (0) (64) (37) - 347 227 0.0% -18.4% -16.5%

LDV diesel 264 1,872 247 556 9,664 758 47.4% 19.4% 32.6%HDV diesel 884 18,005 1,931 1,085 39,757 2,313 81.5% 45.3% 83.5%

MOPEDS gasoline 259 (88) 18,593 344 329 23,231 75.4% -26.7% 80.0%MOTORCYCLE gasoline 40 (25) 2,885 75 791 5,280 53.6% -3.2% 54.6%EVAPORATIVE gasoline - - 3,635 - - 4,405 0.0% 0.0% 82.5%

% Reduction[%]

Emission reduction[t/year]

2012 CLE emission[t/year]


2012 CLE – Po Valley

Emission inventory 2005

for all the regions of the Po

Valley

(last version – july 2008)

RAINS CLE

2005-2010-2015

SO2, NOx, PM10, PM2.5,

COV, NH3

Linear interpolation

INEMAR 2012 CLE

macrosectors


2012 CLE – Po Valley

RAINS

SNAP NOMENCLAURE

Interpolation

0 20 40 60 80 100 120

2005

2010

2015

2020

yea

r

NOx [kt/year]

Combustion in energy and transformation energy Non-industrial combustion plantsCombustion in the manufacturing industry Production processesRoad transport Other mobile sources and machinery Waste treatment and disposal

0 20 40 60 80 100 120

2005

2010

2012

2015

2020

ye

ar

NOx [kt/year]

Combustion in energy and transformation energy Non-industrial combustion plants

Combustion in the manufacturing industry Production processes

Road transport Other mobile sources and machinery

Waste treatment and disposal

2012/2005


2012 AQP – PO valley

RAINS

AQP

2005-2010-2015

SNAP NOMENCLAURE

AQP: 2010AQP-2010CLE

2012AQP: 2012CLE + AQP -14.0%

-12.0%

-10.0%

-8.0%

-6.0%

-4.0%

-2.0%

0.0%

Non industrial combustion Transport

Non industrial combustion -5.7% -5.7% -5.8% -5.7% -5.6%

Transport -3.8% -8.8% -9.4% -12.8% -3.1%

SO2 NOX PM10 PM2.5 COV


OPEN issue…to discuss

Emission inventory:

• 2008 INEMAR for all the regions of the Po Valley

• Different traffic emission model (ARTEMIS vs COPERT)

• Transport model for the entire Po Valley

Emission scenario PoValley Lombardy

1 2005 BC 2005 BC

2 2012 CLE 2012CLE (RL)

3 2012 AQP 2012 AQP (RL)

4 2012 CLE 2012 AQP (RL)

5 2012 MFR (RAINS) 2012 MFR (RAINS)

6 2015 CLE (RAINS) 2015 CLE (RL)

7 2015 MFR (RAINS) 2015MFR (RAINS)

8 2020 CLE (RAINS) 2020 CLE (RAINS)

9 2020 MFR (RAINS) 2020 MFR (RAINS)


Diffused emissions

INEMAR 2005

RAINS CLE

(2005-2010-2015)

SO2, NOx, PM10, COV, NH3

Data interpolation

INEMAR 2012 CLE

classification



Area emissions

INEMAR 2005

RAINS CLE

(2005-2010-2015)

SO2, NOx, PM10, COV, NH3

Data interpolation

INEMAR 2012 CLE

classification


0

20,000

40,000

60,000

80,000

100,000

120,000

140,000

160,000

180,000

2005 2012 2005 2012 2005 2012 2005 2012 2005 2012

SO2 NOx VOC NH3 PM10

Em

issi

on

i [t/

yea

r]

3 4 5 6 8 9 10 11



PAE – regional plan

for energy policy

INEMAR 2005

Emission

FactorsE2012 I,C,S = E2005I,C,S * FCAC *FCFES


-

1,000,000

2,000,000

3,000,000

4,000,000

5,000,000

6,000,000

7,000,000

gas naturale gasolio enafta

olio comb. gpl biomassa gas naturale gasolio enafta

Civile Agricoltura

Consu

mo [

tep]

2004 2005 2010 2012 2015

CNG GAS OIL FUEL OIL GPL BIOMASS CNG OILFUEL

HEATING AGRICOLTURE




0 5000 10000 15000 20000 25000 30000 35000 40000

2005

2012

2005

2012

2005

2012

NO

xV

OC

PM

10

Emissioni [t/anno]

Boiler natural gas Boiler gas oil Boiler domestic fuel oil Boiler keroseneBoiler domestic fuel oil Traditional fireplace wood Pizzerie wood BAT fireplace woodBAT pellets wood Innovative woodstove Traditional woodstove


Road Transport

E = FEi * NVi * Pi

Technology scenario Fuel consumption scenario

Euro 0

Euro 10?


-

1,000,000

2,000,000

3,000,000

4,000,000

5,000,000

6,000,000

7,000,000

1998 2000 2002 2004 2006 2008 2010 2012

Gasoline Diesel Total


Road Transport

iai

iai

aiE

EEE

,

,

,2010

201220102012

INEMAR

COPERT 4



0

10,000

20,000

30,000

40,000

50,000

60,000

70,000

80,000

90,000

2010 2012 2010 2012 2010 2012 2010 2012 2010 2012

SO2 NOX COV NH3 PM10

Em

issi

on

s [t

/ye

ar]

Passenger cars LDV HDV Mopeds Motorcycle Evaporative


Documents

POMI EMISSION INVENTORY