DANISH EMISSION INVENTORIES FOR ROAD TRANSPORT ...

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230 Continued Tårs-Spodsbjerg ODIN SYDFYEN 41 40 39 38 36 36 36 32 33 45 45 45 45 45 45 45 45 45 45 Tårs-Spodsbjerg SPODSBJERG 4 2 8 8 9 8 8 19 20 10 10 10 10 10 10 10 10 10 10 Tårs-Spodsbjerg THOR SYDFYEN 14 18 14 16 19 20 20 17 14 0 0 0 0 0 0 0 0 0 0
Annex 13 Fuel consumption and emission factors, engine specific (NOx, CO, VOC (NMVOC and CH4)), and fuel type specific (S-%, SO2, PM) for ship engines Specific fuel consumption and NOx emission factors (g pr kWh) per engine year for diesel ship engines. High speed Medium speed Slow speed High speed Medium speed Slow speed Year 4-stroke 4-stroke 2-stroke 4-stroke 4-stroke 2-stroke sfc (g pr kWh) sfc (g pr kWh) sfc (g pr kWh) NOX (g pr kWh) NOX (g pr kWh) NOX (g pr kWh) 1949 265.5 255.5 235.5 7.3 8.0 14.5 1950 265.0 255.0 235.0 7.3 8.0 14.5 1951 264.5 254.5 234.5 7.3 8.0 14.5 1952 264.0 254.0 234.0 7.3 8.0 14.5 1953 263.5 253.5 233.5 7.3 8.0 14.5 1954 263.0 253.0 233.0 7.3 8.0 14.5 1955 262.4 252.4 232.4 7.3 8.0 14.5 1956 261.9 251.9 231.9 7.4 8.1 14.6 1957 261.3 251.3 231.3 7.5 8.2 14.7 1958 260.7 250.7 230.7 7.6 8.3 14.8 1959 260.1 250.1 230.1 7.7 8.4 14.9 1960 259.5 249.5 229.5 7.8 8.5 15.0 1961 258.9 248.9 228.9 7.9 8.6 15.1 1962 258.2 248.2 228.2 8.0 8.7 15.1 1963 257.6 247.6 227.6 8.1 8.8 15.2 1964 256.9 246.9 226.9 8.2 8.9 15.3 1965 256.1 246.1 226.1 8.3 9.0 15.4 1966 255.4 245.4 225.4 8.3 9.1 15.5 1967 254.6 244.6 224.6 8.4 9.2 15.6 1968 253.8 243.8 223.8 8.5 9.3 15.7 1969 253.0 243.0 223.0 8.6 9.4 15.8 1970 252.1 242.1 222.1 8.7 9.5 15.9 1971 251.2 241.2 221.2 8.8 9.6 16.0 1972 250.3 240.3 220.3 8.9 9.7 16.1 1973 249.3 239.3 219.3 9.0 9.8 16.2 1974 248.3 238.3 218.3 9.1 9.9 16.3 1975 247.3 237.3 217.3 9.2 10.0 16.4 1976 246.2 236.2 216.2 9.3 10.1 16.4 1977 245.0 235.0 215.0 9.3 10.2 16.5 1978 243.8 233.8 213.8 9.4 10.3 16.6 1979 242.6 232.6 212.6 9.5 10.4 16.7 1980 241.3 231.3 211.3 9.6 10.5 16.8 1981 239.9 229.9 209.9 9.7 10.6 16.9 1982 238.5 228.5 208.5 9.8 10.7 17.0 1983 237.0 227.0 207.0 9.9 10.8 17.4 1984 235.5 225.5 205.5 10.0 10.9 17.8 1985 233.9 223.9 203.9 10.1 11.0 18.2 1986 232.2 222.2 202.2 10.2 11.1 18.6 1987 230.5 220.5 200.5 10.3 11.3 19.0 1988 228.6 218.6 198.6 10.5 11.4 19.3 1989 226.7 216.7 196.7 10.6 11.6 19.5 1990 224.8 214.8 194.8 10.7 11.7 19.8 1991 222.7 212.7 192.7 10.9 11.9 20.0 1992 220.5 210.5 190.5 11.0 12.0 19.8 1993 218.3 208.3 188.3 11.1 12.1 19.6 1994 216.0 206.0 186.0 11.3 12.3 19.4 1995 213.6 203.6 183.6 11.4 12.4 19.3 1996 211.0 201.0 181.0 11.5 12.6 19.1 1997 208.4 198.4 178.4 11.7 12.7 18.9 1998 205.7 195.7 175.7 11.8 12.9 18.7 231
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DANISH EMISSION INVENTORIES FOR ROA
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AU DANISH EMISSION INVENTORIES FOR
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Contents Preface 5 Summary 6 Method
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Preface DCE - Danish Centre for Env
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ook. For previous years the backgro
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Table 0.3 Emissions from other mobi
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Sammenfatning Denne rapport dokumen
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Tabel 0.2 Emissioner fra vejtrafik
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Usikkerheder I 2010 er CO2-emission
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2 Total Danish emissions, internati
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The LRTAP Convention is a framework
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machinery (SNAP codes 0806 and 0807
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Table 4.1 Model vehicle classes and
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period. The increase is, however, m
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procedure until the test procedure
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Table 4.2 Overview of the existing
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statistics and 2) fuel specific CO2
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Table 4.3 Fuel-specific CO2 emissio
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The cold:hot ratios depend on the a
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DEA:NERI fuel ratio DEA:NERI fuel r
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g pr GJ g pr km g pr km g pr GJ 100
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g pr GJ g pr km g pr km g pr GJ 160
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g pr km g pr GJ g pr km g pr GJ CH
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5 Input data and calculation method
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No. of international LTO's No. of d
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No. No. 30000 25000 20000 15000 100
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No. No. [No] Construction machinery
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100% 90% 80% 70% 60% 50% 40% 30% 20
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No. X 10 3 Table 5.9 Continued No.
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Table 5.1 Domestic ferry routes com
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For the remaining part of the traff
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Table 5.3 Overview of the EU Emissi
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Table 5.6 Current certification lim
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Table 5.8 Current legislation in re
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Table 5.9 Fuel-specific emission fa
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If the great circle distance, y, is
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Where EEvap,fueling, = hydrocarbon
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numbers for some statistical years
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6 Fuel consumption and emissions Ta
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PJ PJ 90 80 70 60 50 40 30 20 10 0
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PJ PJ PJ 3 2,5 2 1,5 1 0,5 0 1985 1
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PJ 45 40 35 30 25 20 15 10 5 0 1985
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Tonnes 350 300 250 200 150 100 50 0
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Tonnes 60 50 40 30 20 10 0 1990 199
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Tonnes emission-efficient EURO II,
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Tonnes 3000 2500 2000 1500 1000 500
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Tonnes trend in diesel fuel consump
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Tonnes Tonnes 3000,0 2500,0 2000,0
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the highest emissions in 2010, foll
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Cadmium (Cd) Cadmium (Cd) Chromium
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Tonnes Tonnes 250000 200000 150000
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Dioxin Dioxin Flouranthene Passenge
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Tonnes [kTonnes (CRF format). In An
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Table 7.2 Tier 2 Uncertainty factor
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8 Future improvements Some improvem
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IPCC, 2000: Good Practice Guidance
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Wismann, T. 2001: Energiforbrug og
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Annex1: Fleet data 1985-2010 for ro
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Continued Heavy Duty Vehicles Diese
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Continued Buses Diesel Urban Buses
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Continued Passenger Cars Diesel >2,
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Continued Motorcycles 4-stroke >750
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Motorcycles 4-stroke 250 - 750 cm³
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Annex 3: EU directive emission limi
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Annex 4: Basis emission factors (g
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Continued Passenger Cars Diesel 2,0
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Continued Motorcycles 4-stroke 250
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Continued Heavy Duty Veh. Diesel RT
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Continued Motorcycles 4-stroke 250
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Continued Light Duty Vehicles 1992
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Continued Mopeds 1986 1,095 1,095 8
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Continued Passenger Cars 2004 0,871
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Continued Buses 2000 0,867 0,647 0,
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Annex 8: Fuel consumption (GJ) and
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Continued Heavy Duty Vehicles 2002
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Continued Motorcycles 1996 0,6 1 93
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Annex 9: COPERT IV:DEA statistics f
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ASJ Shorts 360 300 L2T DA30 RJ 100
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LTO no. per representative aircraft
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Domestic Other airports Reims F406
Page 181 and 182: No. of flights per representative a
Page 183 and 184: LTO fuel consumption and emission f
Page 185 and 186: Other airports Dash8 400 78,842 3,4
Page 187 and 188: 2010 Copenhagen International Beech
Page 189 and 190: 2010 Other Airports International S
Page 191 and 192: Basis factors for 4-stroke gasoline
Page 193 and 194: Fuel consumption and emission facto
Page 195 and 196: Deterioration factors for gasoline
Page 197 and 198: Operational data for construction m
Page 199 and 200: Stock data for diesel tractors 1985
Page 201 and 202: 37 Stage II 23 53 162 324 330 340 3
Page 203 and 204: Stock data for harvesters 1985-2010
Page 205 and 206: Continued 90
Page 207 and 208: Stock data for fork lifts 1985-2010
Page 209 and 210: Stock data for construction machine
Page 211 and 212: Continued Wheel loaders (0-5 tonnes
Page 213 and 214: Stock data for machine pools 1985-2
Page 215 and 216: Continued 0809 Trimmers (private) S
Page 217 and 218: Continued 0811 Lawn movers (profess
Page 219 and 220: Engine sizes (kW) for recreational
Page 221 and 222: Ferry data: Service, name, engine y
Page 223 and 224: Continued Sjællands Odde-Ebeltoft
Page 225 and 226: Continued Kalundborg-Århus KONG FR
Page 227 and 228: Ferry data: Load factor (% MCR). Fe
Page 229 and 230: Sjællands Odde-Ebeltoft MIE MOLS 8
Page 231: Continued Kalundborg-Århus KONG FR
Page 235 and 236: Continued 1995 7.49 7.86 8.72 2.34
Page 237 and 238: S-%, SO2 and PM emission factors (g
Page 239 and 240: Annex 14: Fuel sales figures from D
Page 241 and 242: - kerosene 7 2 9 5 12 26 9 5 4 3 4
Page 243 and 244: - gasoline 396 400 403 404 404 393
Page 245 and 246: Annex 15: Emission factors and tota
Page 247 and 248: 2009 emission factors for CO2, CH4,
Page 249 and 250: 1990 emissions for CO2, CH4, N2O, S
Page 251 and 252: 2009 emissions for CO2, CH4, N2O, S
Page 253 and 254: Annex 16: Fuel consumption and emis
Page 255 and 256: Continued CH4 Civil Aviation (1A3a)
Page 257 and 258: Continued PM10 Comm./Inst. (1A4a) [
Page 259 and 260: Continued Mercury Navigation int. (
Page 261 and 262: Continued Benzo(b) flouranthene Roa
Page 263 and 264: Emissions 2000-2010 pol_name IPCC I
Page 265 and 266: Continued N2O Railways (1A3c) [tonn
Page 267 and 268: Continued Cadmium Ag./for./fish. (1
Page 269 and 270: Continued Zinc Industry-Other (1A2f
Page 271 and 272: Continued Benzo(g,h,i) perylene Nav
Page 273 and 274: Uncertainty estimation, CH4 Gas Bas
Page 275 and 276: Uncertainty estimation, SO2. Gas Ba
Page 277 and 278: Uncertainty estimation, NH3. Gas Ba
Page 279 and 280: Uncertainty estimation, Chromium. G
Page 281 and 282: Uncertainty estimation, Lead. Gas B
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Uncertainty estimation, Flouranthen
Page 285 and 286:
Uncertainty estimation, Benzo(g,h,i
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