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Table 3.25 Fuel use estimates for non-road in 1990 and 2000 1990 (TJ) 2000 (TJ) Diesel, non-road 26575 24580 Gasoline, non-road 1911 1797 LPG, non-road 1251 1499 Inland waterways, diesel 371 1002 Inland waterways, gasoline 545 902 In order to ensure that the same total fuel amount is behind the Danish emission inventories and the reported fuel sale figures by DEA, some decisions have to be made as regards fuel allocation on sub-sectoral levels (Winther, 2003). For diesel and LPG, the non-road fuel use is partly covered by the fuel use amounts in the following DEA sectors: agriculture and forestry, market gardening and building and construction. The remaining quantity of non-road diesel and LPG is taken from the DEA industry sector. For gasoline the DEA residential sector, together with the DEA sectors mentioned for diesel and LPG, contribute to the non-road fuel use total. In addition a small fuel amount from road transport is needed to reach the fuel use goal. The amount of diesel and LPG in DEA industry not being used by non-road machinery is included in the sectors “Combustion in manufacturing industry” (0301) and “Non-industrial combustion plants” (0203) in the Danish emission inventory. For small boats and pleasure crafts the calculated fuel use totals are subsequently subtracted from the DEA fishery (diesel) and road transport (gasoline) sectors. Other sectors The activity data for military, railways, sea transport and fishery consists of fuel use information from DEA (2003). For sea transport the basis is fuel sold in Danish ports and depending on the destination of the vessels in question the traffic is defined as either national or international as prescribed by the IPCC guidelines. For all sectors fuel use figures are given in Annex 3.B.9 for the years 1990 and 2003 in CollectER format. Emission factors For military ground material aggregated emission factors for gasoline and diesel are derived from the road traffic emission simulations made with the COPERT model. For railways specific Danish measurements from the Danish State Railways (DSB) (Næraa, 2004) are used. The emission factors for the remaining sectors come from the EMEP/CORINAIR guidebook, see CORINAIR (2003). For all sectors emission factors are given in CollectER format in Annex 3.B.9 for the years 1990 and 2003. Table 3.26 shows the emission factors CO 2 , CH 4 and N 2 O. These factors estimate the emissions from other mobile sources in Denmark. 100
Table 3.26 Fuel specific emission factors for CO 2 , CH 4 and N 2 O for other mobile sources in Denmark SNAP ID CRF ID Category Fuel type Mode Emission factors 5 CH4 [g/GJ] CO2 [kg/GJ] N2O [g/GJ] 801 1A5 Military Diesel 4.23 74 0.31 801 1A5 Military Jet fuel < 3000 ft 2.65 72 0.00 801 1A5 Military Jet fuel > 3000 ft 2.65 72 0.00 801 1A5 Military Gasoline 31.72 73 29.99 801 1A5 Military Aviation gasoline 21.90 73 1.60 802 1A3c Railways Diesel 2.90 74 0.20 803 1A3d Inland waterways Diesel 4.35 74 0.17 803 1A3d Inland waterways Gasoline 108.10 73 0.10 80402 1A3d National sea traffic Residual oil 1.76 78 - 80402 1A3d National sea traffic Diesel 1.69 74 0.00 80402 1A3d National sea traffic Kerosene 7.00 72 2.00 80402 1A3d National sea traffic LPG 20.30 65 0.00 80403 1A4c Fishing Residual oil 1.76 78 - 80403 1A4c Fishing Diesel 1.69 74 0.00 80403 1A4c Fishing Kerosene 7.00 72 - 80403 1A4c Fishing Gasoline 108.10 73 0.10 80403 1A4c Fishing LPG 20.30 65 0.00 80404 Memo item International sea traffic Residual oil 1.76 78 - 80404 Memo item International sea traffic Diesel 1.69 74 - 80501 1A3a Air traffic, other airports Jet fuel Dom. < 3000 ft 1.92 72 - 80501 1A3a Air traffic, other airports Aviation gasoline 21.90 73 1.60 80502 Memo item Air traffic, other airports Jet fuel Int. < 3000 ft 1.60 72 - 80502 Memo item Air traffic, other airports Aviation gasoline 21.90 73 1.60 80503 1A3a Air traffic, other airports Jet fuel Dom. > 3000 ft 1.38 72 - 80504 Memo item Air traffic, other airports Jet fuel Int. > 3000 ft 0.66 72 - 806 1A4c Agriculture Diesel 4.43 74 0.18 806 1A4c Agriculture Gasoline 51.10 73 0.12 807 1A4c Forestry Diesel 4.37 74 0.17 807 1A4c Forestry Gasoline 180.95 73 0.10 808 1A2f Industry Diesel 4.48 74 0.18 808 1A2f Industry Gasoline 119.76 73 0.11 808 1A2f Industry LPG 62.11 65 0.19 809 1A4b Household and gardening Gasoline 116.17 73 0.11 80501 1A3a Air traffic, Copenhagen airport Jet fuel Dom. < 3000 ft 2.57 72 80501 1A3a Air traffic, Copenhagen airport Aviation gasoline 21.90 73 1.60 80502 Memo item Air traffic, Copenhagen airport Jet fuel Int. < 3000 ft 3.89 72 0.00 80502 Memo item Air traffic, Copenhagen airport Aviation gasoline 21.90 73 1.60 80503 1A3a Air traffic, Copenhagen airport Jet fuel Dom. > 3000 ft 1.52 72 0.00 80504 Memo item Air traffic, Copenhagen airport Jet fuel Int. > 3000 ft 1.20 72 0.00 Calculation method Air traffic For aviation the estimates are made separately for landing and take offs (LTOs < 3000 ft) and cruise (> 3000 ft). From 2001 the estimates are made on a city-pair level by combining activity data and emission factors and subsequently group the emission results into domestic and international totals. The overall fuel precision in the model is around 0.8 derived as the fuel ratio between model 5 References. CO2: Country specific; CH4 and N2O: EMEP/CORINAIR 101
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National Environmental Research Ins
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National Environmental Research Ins
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Contents Executive summary 9 ES.1.
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4.3 Chemical industry (2B) 122 4.3.
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8.3.6 Recalculations 209 8.3.7 Plan
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Executive summary ES.1. Background
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electricity. Also lower outdoor tem
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• The GHG emission inventories fo
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effekten af de forskellige drivhusg
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Som beskrevet i rapportens kapitel
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1 Introduction 1.1 Background infor
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The role of the European Union The
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Table 1.1 List of current data stru
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1.4 Brief general description of me
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1A2f (Industry-other), 1A3a (Civil
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is calculated. It is found that tha
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(see the reference list at Chapter
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1 Quality control (QC) Quality plan
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The different CCP’s are not indep
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When new data are introduced they c
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Inventory report for year 3 Invento
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The uncertainty on N 2 O from stati
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1.8 General assessment of the compl
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2 Trends in Greenhouse Gas Emission
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to change in traditional stable sys
Page 51 and 52: from national fishing and off-road
Page 53 and 54: 3 Energy (CRF sector 1) 3.1 Overvie
Page 55 and 56: Table 3.3 CH 4 emission from the en
Page 57 and 58: Fuel consumption time-series for st
Page 59 and 60: Degree days Fuel consumption adjust
Page 61 and 62: Table 3.7 CO 2 emission from subsec
Page 63 and 64: The CH 4 emission from stationary c
Page 65 and 66: 3.2.1.3.4 SO , NO , NMVOC and CO 2
Page 67 and 68: The fuel consumption of area source
Page 69 and 70: Table 3.12 CH 4 emission factors 19
Page 71 and 72: − Gruijthuijsen & Jensen 2000 −
Page 73 and 74: ues from Pulles & Aardenne 2001. Th
Page 75 and 76: • Disaggregation of fuel consumpt
Page 77 and 78: 3.3.1.1 Fuel consumption Table 3.18
Page 79 and 80: 3-@ 90 80 70 60 50 40 30 20 10 0 19
Page 81 and 82: 1,4 1,2 1,0 0,8 0,6 0,4 0,2 0,0 198
Page 83 and 84: Table 3.19 Emissions of CO 2 , CH 4
Page 85 and 86: Passenger cars 56% Passenger cars 8
Page 87 and 88: WRQV@ 120 100 80 60 40 20 0 1985 19
Page 89 and 90: 70000 60000 50000 40000 30000 20000
Page 91 and 92: The NO X emission trend for Agricul
Page 93 and 94: Bunkers The most important emission
Page 95 and 96: Ã Ã Ã Ã Ã Ã
Page 97 and 98: age the emissions from catalyst car
Page 99 and 100: Where S C is the soak emission, l t
Page 101: 3.3.2.2 Methodologies and reference
Page 105 and 106: Where E = emission, FC = fuel consu
Page 107 and 108: For non-road machinery and working
Page 109 and 110: Emission factors The Danish greenho
Page 111 and 112: A comparison of the national approa
Page 113 and 114: ( , 4 = = ( ; 4 + ( , 4 −2
Page 115 and 116: In the 1990-1999 inventories fugiti
Page 117 and 118: Table 3.38 Uncertainty, CRF sector
Page 119 and 120: 4 Industrial processes (CRF Sector
Page 121 and 122: The time-series for emission of CO
Page 123 and 124: 4.2.5 Recalculations No source spec
Page 125 and 126: 4.4 Metal production (2C) 4.4.1 Sou
Page 127 and 128: Table 4.8 Consumption of HFCs in fo
Page 129 and 130: The potential emissions have been c
Page 131 and 132: cedure consisted of a check of the
Page 133 and 134: Danish Environmental Protection Age
Page 135 and 136: Table 5.1 Emission of chemicals in
Page 137 and 138: 5.2.2 Methodological issues The emi
Page 139 and 140: (ii) Collection of data for quantif
Page 141 and 142: 6 The emission of greenhouse gases
Page 143 and 144: Table 6.2 List of institutes involv
Page 145 and 146: NERI receives the data from differe
Page 147 and 148: approximately 6%, which nearly corr
Page 149 and 150: 6.3.2 Methodological issues 6.3.2.1
Page 151 and 152: Table 6.11 Nitrogen excretion, annu
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Table 6.14 Emissions factor - N 2 O
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153
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Table 6.20 Emissions from crop resi
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Ã Ã Ã Ã Ã 80
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6.5 NMVOC emission Less than 1% of
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• This years data delivery agreem
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Husted, 1994: Waste Management, Sea
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7 The Specific methodologies regard
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In 1990, the forested area with tre
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inventory will be quite similar to
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Table 7.4 Data on gross uptake of C
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place during the first 30 years fol
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7.2.5 Recalculations Since the subm
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Table 7.8 Agricultural areas in Den
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7.3.2.1 Emission from mineral soils
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Table 7.17 C-emission from organic
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Table 7.19 Area classification of t
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The LULUCF sector contributes to a
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Schöne, D. and Schulte, A. (1999).
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Table A2.3 ÃÃÃÃÃÃÃÃÃÃ
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As a result the sectoral total in C
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Since, the Danish SWDSs are well-ma
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Table 8.8. Amounts of waste and CH
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Combustible” and “Other not Com
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which disaggregation level that can
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tion, technical upgrades of the WWT
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assuming that the treatment is 100%
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intermediate of both processes. Dan
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Table 8.19. Uncertainties for main
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In general country-specific TOW val
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Danish Environmental Protection Age
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9 Other (CRF sector 7) Chapter 9 is
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Table 10.1 Recalculation performed
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Table 10.2. Recalculation performed
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For the Industrial Sector uncertain
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Annex 1 Key source analyses Descrip
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7KH UHVXOW RI WKH NH\ VRXUFH DQDO\V
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7DEOHV $ ± $ RI WKH *RRG 3UDFWLFH
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Table 3. Key source analysis 1990-2
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Annex 3 Other detailed methodologic
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1 Introduction The Danish atmospher
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Stationary combustion plants are in
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Emissions from non-energy use of fu
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Coke oven coke The emission factor
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Kerosene The emission factor 72 kg/
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Illerup 2003. The estimated emissio
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The emission factor for CHP plants
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− Fuel consumption for transport.
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tricity trade, fuel consumption and
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Figure 3A-6 depicts the time-series
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1A4a Commercial / Institutional 2%
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CO 2 [Tg] 60 50 40 30 20 10 0 1990
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Other stationary combustion plants
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1A4a Commercial / Institutional 2%
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only accounted for a small portion
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Electricity and heat production is
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The use of wood in residential boil
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straw consumption in residential pl
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• The IPCC reference approach val
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Table 3A-21 Key sources, stationary
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emission are N 2 O emission (all pl
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enewable fuels has increased. The D
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Jørgensen, L. & Johansen, L. P. 20
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Appendix 3A-1 The Danish emission i
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030203 Blast furnace cowpers 1A2a 0
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Table 3A-28 Detailed fuel consumpti
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1A2f 118 SEWAGE SLUDGE 030311 40162
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Appendix 3A-4 Emission factors Tabl
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Table 3A-33 N 2 O emission factors
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7. Bjerrum M., 2002. Danish Technol
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NOX NATURAL GAS 010105 1A1a 276 241
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019 Enstedvaerket 04 010101 204 GAS
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Table 3A-39 Large point sources, pl
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Appendix 3A-6 Uncertainty estimates
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Table 3A-42 Uncertainty estimation,
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Table 3A-47 Uncertainty estimation,
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Table 3A-49 Fuel category correspon
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Appendix 3A-9 Reference approach Ã
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Table 3A-51 Fuel category correspon
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20201 - - - - - - - - - - - - - - -
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Passenger Cars Diesel >2.0 l Euro I
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Passenger Cars Gasoline 2.0 l Euro
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Buses Urban Buses Conventional 0 19
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Sector Subsector Tech FYear LYear 1
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Sector Subsector Tech FCu FCr FCh C
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Sector Subsector Tech COu COr COh N
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Sector Subsector Tech COuR COrR COh
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Annex 3B-5: Fuel use factors (MJ/km
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2-wheelers 1999 1.195 1.264 1.578 8
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2-wheelers 1991 6.249 4.379 2.011 6
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2002 Heavy Duty Vehicles 37849451 8
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Annex 3B-7: COPERT III:DEA statisti
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0808 Excavators (wheel type) 1000 1
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0808 Forklifts 5-10 tons (diesel) 0
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0809 Trimmers 60000 0.8 0.5 15 10 1
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1990 80502 Air traffic. other airpo
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2003 80403 Fishing Kerosene 731 4.6
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Year Category Mode SO2 NOx NMVOC CH
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Pollutant CRF ID Unit 1985 1986 198
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Pollutant CRF ID Unit 1985 1986 198
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Uncertainty estimation, CH 4 Gas Ba
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Uncertainty estimation, N 2 O IPCC
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Table. Production of Lime/Hydrated
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Suckling cattle 170.2 Swine Average
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7DEOH 'HWDLOHG LQIRUPDWLRQ UHODWHG
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7DEOH &KDQJHV LQ VWDEOH W\SH ± Liv
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Pullet, consumption, floor (100 pcs
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Annex 3E Solid Waste Disposal on La
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B = Biological N = Nitrification (r
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Table 3E.7. Stabilisation of sludge
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in Table 3E.9. Table 3E.9 Gross emi
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5HFRYHUHG &+ Ã HPLVVLRQV >*J@ 14.
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Annex 3F Solvents National Atmosphe
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83 1-ethyl-2,2,6-trimethylcyclohexa
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191 2-methoxy-2-methylpropane 192 2
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299 acetaldehyde 300 acetic acid 30
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407 cyclopentane 408 cyclopenta-phe
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515 methyl naphthalenes 516 methyl
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624 trans-3-hexene 625 trialkyl pho
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Annex 5 Assessment of completeness
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Annex 6.1 Annex 6.1. Additional inf
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Table A6.1.2 ÃÃÃÃ Kingdom DK Ã
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Table A6.1.4 ÃÃÃÃÃÃÃÃÃ Kin
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Annex 6.2 Additional information to
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Annex 7 Table 6.1 and 6.2 of the IP
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Annex 8 Other annexes - (Any other
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PM 2.2: An explicit description in
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Correctness The data at level 3 has
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Level 6 Transparency The background
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Table A9.1 ÃÃÃÃ Denmark ÃÃÃ
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Table A9.3 ÃÃÃÃ Denmark ÃÃÃ
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