DANISH EMISSION INVENTORIES FOR ROAD TRANSPORT ...

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92 Tonnes Tonnes The TSP emission development for industrial non-road machinery is the product of a fuel consumption increase from 1985 to 2008 and development in emission factors, as explained for agricultural machinery. The TSP emission explanations for railways are the same as for NOx (Figure 6.30). The amounts of NH3 emissions calculated for other mobile sources are very small. The largest emission sources were Agriculture-/forestry/fisheries (1A4c), Industry (1A2f), Railways (1A3c) and Military (1A5), with emission shares of 49, 26, 8 and 8 %, respectively. 7000 6000 5000 4000 3000 2000 1000 0 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 Agr./for. (1A4c) Civil Aviation (1A3a) Fisheries (1A4c) Industry-Other (1A2f) Military (1A5) Navigation (1A3d) Railways (1A3c) Comm./Inst. (1A4a) Residential (1A4b) Figure 6.31 NMVOC emissions (tonnes) in NFR sectors for other mobile sources 1985-2010. 80000 70000 60000 50000 40000 30000 20000 10000 0 2009 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 Agr./for. (1A4c) Civil Aviation (1A3a) Fisheries (1A4c) Industry-Other (1A2f) Military (1A5) Navigation (1A3d) Railways (1A3c) Comm./Inst. (1A4a) Residential (1A4b) Figure 6.32 CO emissions (tonnes) in NFR sectors for other mobile sources 1985-2010.
Tonnes Tonnes 3000,0 2500,0 2000,0 1500,0 1000,0 500,0 0,0 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 Agr./for. (1A4c) Civil Aviation (1A3a) Fisheries (1A4c) Industry-Other (1A2f) Military (1A5) Navigation (1A3d) Railways (1A3c) Comm./Inst. (1A4a) Residential (1A4b) Figure 6.33 TSP emissions (tonnes) in NFR sectors for other mobile sources 1985-2010. 4,5 4,0 3,5 3,0 2,5 2,0 1,5 1,0 0,5 0,0 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 Agr./for. (1A4c) Civil Aviation (1A3a) Fisheries (1A4c) Industry-Other (1A2f) Military (1A5) Navigation (1A3d) Railways (1A3c) Comm./Inst. (1A4a) Residential (1A4b) Figure 6.34 NH3 emissions (tonnes) in NFR sectors for other mobile sources 1985-2010. 2009 93
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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
Page 43 and 44: g pr GJ g pr km g pr km g pr GJ 160
Page 45 and 46: g pr km g pr GJ g pr km g pr GJ CH
Page 47 and 48: 5 Input data and calculation method
Page 49 and 50: No. of international LTO's No. of d
Page 51 and 52: No. No. 30000 25000 20000 15000 100
Page 53 and 54: No. No. [No] Construction machinery
Page 55 and 56: 100% 90% 80% 70% 60% 50% 40% 30% 20
Page 57 and 58: No. X 10 3 Table 5.9 Continued No.
Page 59 and 60: Table 5.1 Domestic ferry routes com
Page 61 and 62: For the remaining part of the traff
Page 63 and 64: Table 5.3 Overview of the EU Emissi
Page 65 and 66: Table 5.6 Current certification lim
Page 67 and 68: Table 5.8 Current legislation in re
Page 69 and 70: Table 5.9 Fuel-specific emission fa
Page 71 and 72: If the great circle distance, y, is
Page 73 and 74: Where EEvap,fueling, = hydrocarbon
Page 75 and 76: numbers for some statistical years
Page 77 and 78: 6 Fuel consumption and emissions Ta
Page 79 and 80: PJ PJ 90 80 70 60 50 40 30 20 10 0
Page 81 and 82: PJ PJ PJ 3 2,5 2 1,5 1 0,5 0 1985 1
Page 83 and 84: PJ 45 40 35 30 25 20 15 10 5 0 1985
Page 85 and 86: Tonnes 350 300 250 200 150 100 50 0
Page 87 and 88: Tonnes 60 50 40 30 20 10 0 1990 199
Page 89 and 90: Tonnes emission-efficient EURO II,
Page 91 and 92: Tonnes 3000 2500 2000 1500 1000 500
Page 93: Tonnes trend in diesel fuel consump
Page 97 and 98: the highest emissions in 2010, foll
Page 99 and 100: Cadmium (Cd) Cadmium (Cd) Chromium
Page 101 and 102: Tonnes Tonnes 250000 200000 150000
Page 103 and 104: Dioxin Dioxin Flouranthene Passenge
Page 105 and 106: Tonnes [kTonnes (CRF format). In An
Page 107 and 108: Table 7.2 Tier 2 Uncertainty factor
Page 109 and 110: 8 Future improvements Some improvem
Page 111 and 112: IPCC, 2000: Good Practice Guidance
Page 113 and 114: Wismann, T. 2001: Energiforbrug og
Page 115 and 116: Annex1: Fleet data 1985-2010 for ro
Page 117 and 118: Continued Heavy Duty Vehicles Diese
Page 119 and 120: Continued Buses Diesel Urban Buses
Page 121 and 122: Continued Passenger Cars Diesel >2,
Page 125 and 126: Continued Motorcycles 4-stroke >750
Page 127 and 128: Continued Passenger Cars Diesel >2,
Page 131 and 132: Motorcycles 4-stroke 250 - 750 cm³
Page 137 and 138: Annex 3: EU directive emission limi
Page 139 and 140: Annex 4: Basis emission factors (g
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Continued Passenger Cars Diesel 2,0
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Continued Heavy Duty Vehicles Diese
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Continued Motorcycles 4-stroke 250
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Continued Passenger Cars Diesel >2,
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Continued Heavy Duty Veh. Diesel RT
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Continued Motorcycles 4-stroke 250
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Continued Passenger Cars Diesel >2,
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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
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No. of flights per representative a
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LTO fuel consumption and emission f
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Other airports Dash8 400 78,842 3,4
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2010 Copenhagen International Beech
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2010 Other Airports International S
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Basis factors for 4-stroke gasoline
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Fuel consumption and emission facto
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Deterioration factors for gasoline
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Operational data for construction m
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Stock data for diesel tractors 1985
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37 Stage II 23 53 162 324 330 340 3
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Stock data for harvesters 1985-2010
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Continued 90
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Stock data for fork lifts 1985-2010
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Stock data for construction machine
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Continued Wheel loaders (0-5 tonnes
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Stock data for machine pools 1985-2
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Continued 0809 Trimmers (private) S
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Continued 0811 Lawn movers (profess
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Engine sizes (kW) for recreational
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Ferry data: Service, name, engine y
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Continued Sjællands Odde-Ebeltoft
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Continued Kalundborg-Århus KONG FR
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Ferry data: Load factor (% MCR). Fe
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Sjællands Odde-Ebeltoft MIE MOLS 8
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Continued Kalundborg-Århus KONG FR
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Annex 13 Fuel consumption and emiss
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Continued 1995 7.49 7.86 8.72 2.34
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S-%, SO2 and PM emission factors (g
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Annex 14: Fuel sales figures from D
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- kerosene 7 2 9 5 12 26 9 5 4 3 4
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- gasoline 396 400 403 404 404 393
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Annex 15: Emission factors and tota
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2009 emission factors for CO2, CH4,
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1990 emissions for CO2, CH4, N2O, S
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2009 emissions for CO2, CH4, N2O, S
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Annex 16: Fuel consumption and emis
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Continued CH4 Civil Aviation (1A3a)
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Continued PM10 Comm./Inst. (1A4a) [
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Continued Mercury Navigation int. (
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Continued Benzo(b) flouranthene Roa
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Emissions 2000-2010 pol_name IPCC I
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Continued N2O Railways (1A3c) [tonn
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Continued Cadmium Ag./for./fish. (1
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Continued Zinc Industry-Other (1A2f
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Continued Benzo(g,h,i) perylene Nav
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Uncertainty estimation, CH4 Gas Bas
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Uncertainty estimation, SO2. Gas Ba
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Uncertainty estimation, NH3. Gas Ba
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Uncertainty estimation, Chromium. G
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Uncertainty estimation, Lead. Gas B
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Uncertainty estimation, Flouranthen
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Uncertainty estimation, Benzo(g,h,i
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