Report - DCE - Nationalt Center for Miljø og Energi

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Ã FUIPEPMPHJDBM JTTVFT The emission of NMVOC from production of food and beverage is estimated from production statistics (Statistics Denmark) and standard emission factors from the IPCC guidelines (IPCC (1997) Vol. 3, Table 2-24/2-25) combined with the UNECE Guidebook (EMEP/EEA, 2009); see Table 4.8. Regarding refining of sugar, the default EF has been revised based on company specific measurements. TOC has been measured in order to solve odour issues. The emission of TOC has been used as indicator for NMVOC assuming a conversion factor at: 0.6 kg C/kg NMVOC. ÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃ ÃÃÃÃÃÃÃÃÃÃÃ Ã ÃÃÃÃ Ã Ã Ã Ã ÃÃ Ã Ã ÃÃ ÃÃÃÃ Ã Ã Ã ÃÃÃÃÃ Ã ÃÃÃÃÃ Ã Ã Ã ÃÃ Ã The activity data used in the estimates are presented in Table 4.10, 4.11 and 4.12. ÃÃÃÃÃÃÃÃÃÉÃÃÉÃÃÃ Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã ÃÃ Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã ÃÃ ÃÃ Ã Ã Ã Ã Ã Ã ÃÃ ÃÃ Ã Ã Ã Ã ÃÃ ÃÃ
Ã Ã ÃÃÃÃÃÃÃÃÉÃÃÃÃÃÃÃÃÃÉÃÃÃ ÃÃÃÃÃÃÃÃÃÃÃÃÉÃÉÃÃÃ Ã ÃÃÃÃ ÃÃ Ã Ã Ã Ã Ã Ã Ã ÃÉÃÃÃ Ã Ã Ã Ã Ã Ã Ã Ã ÃÃ ÃÃ ÃÃ ÃÃ ÃÃ ÃÃ ÃÃ Ã Ã Ã Ã Ã Ã Ã Ã ÃÃÃ ÃÃ ÃÃ ÃÃ ÃÃ ÃÃ ÃÃ ÃÃ ÃÃÃÃ Ã Ã Ã Ã Ã Ã Ã ÃÃÃÃ ÃÃÃÃ Ã Ã Ã Ã Ã Ã Ã ÃÃ Ã Ã Ã Ã Ã Ã Ã Ã ÃÃÃÃ ÃÃ Ã Ã Ã Ã ÃÃ Ã ÃÉÃÃÃ Ã Ã Ã Ã ÃÃ Ã Ã ÃÃ ÃÃ ÃÃ ÃÃ ÃÃÃ ÃÃ Ã Ã Ã Ã Ã ÃÃ Ã ÃÃÃ ÃÃ ÃÃ ÃÃ Ã ÃÃÃ ÃÃ ÃÃÃÃ Ã Ã Ã Ã ÃÃ Ã ÃÃÃÃ ÃÃÃÃ Ã Ã Ã Ã ÃÃ Ã ÃÃ Ã Ã Ã Ã ÃÃ Ã ÃÃÃÃÃÃÃÉÃÃÃÃÃ Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã ÃÃÃÃÃ 6ODFSUBJOUJFT BOE UJNF TFSJFT DPOTJTUFODZ The time series is based on the same methodology throughout, using public statistics and standard emission factors. Therefore, the time series is considered to be consistent. 4PVSDF TQFDJGJD SFDBMDVMBUJPOT The emission factors applied for NMVOC from refining of sugar within the sector 2WKHU SURGXFWLRQ has been revised. 4PVSDF TQFDJGJD 2" 2$ BOE WFSJGJDBUJPO No source specific QA/QC and verification has been performed for the sector 2WKHU SURGXFWLRQ. 4PVSDF TQFDJGJD QMBOOFE JNQSPWFNFOUT The time series has been improved with spirits/ethanol, bread, meat etc., fats and coffee. However, investigation of potential country specific emission factors is still on going.
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ANNUAL DANISH INFORMATIVE INVENTORY
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AU ANNUAL DANISH INFORMATIVE INVENT
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$POUFOUT "DLOPXMFEHFNFOUT 4VNNBSZ *
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1SPKFDUJPOT "HSJDVMUVSF 8BTUF 3FGFS
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Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã
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4VNNBSZ * #BDLHSPVOE JOGPSNBUJPO PO
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0UIFS BJS QPMMVUBOUT /PO NFUIBOF WP
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Wood combustion in residential plan
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to an error F28 was previously used
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eduction in emission of about 50 %
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elative bidrag for SO2, NOx og NH3
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holdningsanlæg (78 % i 2010). Emis
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tige syn i 2008. Opdaterede oplysni
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*OUSPEVDUJPO #BDLHSPVOE JOGPSNBUJPO
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QA/QC plan (Chapter 1.5), the data
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#SJFG EFTDSJQUJPO PG NFUIPEPMPHJFT
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of round trips per ferry, engine si
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sion. Simple mass balances for calc
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The Other Waste category includes c
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Ã *OEVTUSJBM QSPDFTTFT Categories
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Nielsen, O.-K., Mikkelsen, M.H., Ho
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42 Figure 2.1 Emissions of NH3, NOX
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44 Figure 2.4 NH3 emissions. Distri
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46 Figure 2.8 PM2.5 emissions. Dist
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48 Figure 2.11 Pb emissions. Time s
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&OFSHZ /'3 TFDUPS 0WFSWJFX PG UIF T
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Table 3.2 SO2, NOx, NMVOC, CO and P
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Ã ÃÃÃÃ 1A1c Manufacture of sol
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Fuel consumption, PJ Fuel consumpti
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creased 6 % since 2009. The biomass
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&NJTTJPOT 40 Stationary combustion
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emission from electricity and heat
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NMVOC, Gg 25 20 15 10 5 0 1985 1986
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accounting for 94 % of the PM2.5 em
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PM, Gg PM 2.5, Gg 30 25 20 15 10 5
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ÃÃÃÃÃÃÃÃÃÃ Ã ÃÃÃÆÃ
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Ã Ã 1") Stationary combustion pla
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Ã Ã Ã Ã %JPYJO Stationary combu
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Ã ÃÃÃÃÃÃÃÃÃÃ Ã ÃÃ Ã
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200 180 Ã 160 140 120 100 80 60
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Ã 0.025 0.020 Ã 0.015 Ã 0.010
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Ã Ã 25 20 Ã Ã 15 10 Ã
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The total fuel consumption in indus
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0.4 Ã 0.3 Ã 0.2 0.1 Ã Ã
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0.035 0.030 0.025 Ã 0.020 Ã 0.0
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Ã 0.30 Ã Ã 0.25 0.20
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Ã 6 Ã Ã 5 4 3 Ã
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Ã 60 Ã Ã 50 40 30 Ã
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14 12 Ã 10 8 6 4 2 0 10
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6 5 4 Ã Ã 3 2 É 1 0 6
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120 Ã 100 80 60 Ã 40
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16 Ã 14 12 10 8 Ã 6
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• Emission data reported from ind
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Due to the scarce data available an
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• Research carried out by TNO (Be
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Ã ÃÃÃÃÃÃÃÃÃÃÃ Ã Ã Ã
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Christiansen, B.H., Evald, A., Baad
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Danish Environmental Protection Age
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5SBOTQPSU BOE PUIFS NPCJMF TPVSDFT
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Ã 160 140 120 100 80 60 40 20 0
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Ã Ã Gasoline PC 36% Gasoline LDV
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3- 5 4,5 4 3,5 3 2,5 2 1,5 1 0,5 0
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Ã Ã ÃÃÃÃÃÃÃÃÃÃÃÃÃÃ
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7RQQHV 600000 500000 400000 300000
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Ã 7RQQHV 8000 7000 6000 5000 4000
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Ã Ã Ã Ã ment in emission factor
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ÃÉÃ ÃÉÃ Passenger cars 69% 2-
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Ã Ã Ã Ã 7RQQHV 250000 200000 15
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Ã Ã Ã Residential (1A4b) 2% Rail
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Ã 1200 1000 Ã 800 Ã 600 Ã
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Ã 2000 1600 Ã Ã 1200 Ã 800
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Ã ÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃ
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For all vehicle categories/technolo
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For catalyst vehicles the cold extr
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Ã '($ 1(5, IXHO UDWLR 1,30 1,25 1,
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(EMEP/EEA, 2009) for air traffic, o
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Agricultural tractors (diesel) < 80
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Ã ÃÃ No. 12000 10000 8000 6000 4
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Ã ÃÃÃÉÃÃÃ The 1985-2010 sto
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Ã
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Ã 1R RI URXQG WULSV 1R RI URXQG WU
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Ã &NJTTJPO MFHJTMBUJPO For non-roa
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total emissions (in grams) from the
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Ã Further, the Marine Environment
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Page 176 and 177: Where FC = fuel consumption (kg), m
Page 178 and 179: Where EEvap,fueling, = hydrocarbon
Page 180 and 181: For gasoline, the DEA residential s
Page 182 and 183: The time series of emissions for mo
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Page 192 and 193: where EMFreloading is the emission
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Page 228 and 229: IPCC, 1997: Revised 1996 IPCC Guide
Page 230 and 231: 228 Emission modelling of solvents
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Page 244 and 245: 242 Oertzen, Bundesanstalt für Mat
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Page 248 and 249: only 18 % and 5 % respectively. Mos
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Ã Ã ity from these facilities. Th
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ANNUAL DANISH INFORMATIVE INVENTORY
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