Denmark's National Inventory Report 2005 - Submitted under the ...

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88 Passenger cars 55% Passenger Cars 74% 2-wheelers 1% 2-wheelers 10% Heavy duty vehicles 26% Light duty vehicles 18% Heavy Duty Vehicles 9% Light Duty Vehicles 7% Passenger cars 46% Passenger cars 87% 2-wheelers 0% 2-wheelers 5% Light duty vehicles 16% Heavy duty vehicles 38% Heavy duty vehicles 2% Light duty vehicles 6% Figure 3.39 SO 2 , NO X , NMVOC and CO emission shares per vehicle type for road transport in 2003 Other mobile sources The SO emissions decrease significantly from 1985 to 1996, as shown in Figure 3.40. The lowering 2 is due to the reduction of the sulphur content for marine diesel fuel in Navigation (1A3d) and diesel fuel used by, among others, Railways (1A3c) and non-road machinery in Agriculture/forestry/fisheries (1A4c) and Industry (1A2f). 8000 7000 6000 5000 4000 3000 2000 1000 0 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 Military (1A5) Railw ays (1A3c) Navigation (1A3d) Ag./for./fish. (1A4c) Civil Aviation (1A3a) Industry-Other (1A2f) Residential (1A4b) Figure 3.40 SO 2 emissions (ktons) in CRF sectors for other mobile sources 1985-2003 In general the emissions of NO X , NMVOC and CO from diesel fuelled working equipment and machinery in agriculture, forestry and industry have decreased slightly since the end of the 1990s due to the implementation of a two-stage EU emission directive. NO X emissions mainly come from diesel machinery and the most important sources are Agriculture/forestry/fisheries (1A4c), Industry (1A2f), Navigation (1A3d) and Railways (1A3c), as shown in Figure 3.41. The 2003 emission shares are 57, 19, 16 and 6%, respectively (Figure 3.44). Minor emissions come from Civil Aviation (1A3a), Military (1A5) and Residential (1A4b).
The NO X emission trend for Agriculture/forestry/fisheries is determined by fuel use (and hence emissions) fluctuations for fishery and the constant emission decrease for diesel fuelled agricultural machines. The latter emission decline is the product of decreasing fuel use between 1990 and 2000 and an improved emission performance for new machinery since the late 1990’s. The emission explanation for agricultural NO X also applies for industry NO X emissions. The development in fuel use for national sea transport explains the emission trend for navigation. The most influential parameter is the shut down of ferry service connections in connection with the opening of the Great Belt Bridge in 1997. For railways the gradual shift towards electrification explains the lowering trend in diesel fuel use and NO X emissions for this transport sector. 40000 35000 30000 25000 20000 15000 10000 5000 0 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 Military (1A5) Railways (1A3c) Navigation (1A3d) Ag./for./fish. (1A4c) Civil Aviation (1A3a) Industry-Other (1A2f) Residential (1A4b) Figure 3.41 NO X emissions (tons) in CRF sectors for other mobile sources 1985-2003 The 1985-2003 time-series of NMVOC and CO emissions are shown in the Figures 3.42 and 3.43 for other mobile sources. The 2003 sectoral emission shares are shown in Figure 3.44. For NMVOC the most important sectors are Navigation (1A3d), Agriculture/forestry/fisheries (1A4c), Residential (1A4b) and Industry (1A2f) with 2003 emission shares of 47, 21, 17 and 13%, respectively. The same four sectors also contribute with most of the CO emissions. However, in this case the largest emission source is Residential (1A4b), followed by Agriculture/forestry/fisheries (1A4c), Navigation (1A3d) and Industry (1A2f), with 2003 emission shares of 46, 21, 20 and 11%, respectively. Minor NMVOC and CO emissions come from Railways (1A3c), Civil Aviation (1A3a) and Military (1A5). The reason for high NMVOC and relatively large CO emissions in navigation is the appearance of more gasoline fuelled private boats in navigation, whereas the high CO and relatively large NMVOC emissions from the residential sector solely come from gasoline fuelled working machinery (characterised by high emission factors). In agriculture/forestry/fisheries the large amount of diesel used by agricultural tractors causes most of the NMVOC, whereas the use of diesel and LPG (and to a smaller extent gasoline) causes the NMVOC emissions from industry. The majority of the CO emissions from the same two sectors is emitted by gasoline engines. 89
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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
Page 39 and 40: When new data are introduced they c
Page 41 and 42: Inventory report for year 3 Invento
Page 43 and 44: The uncertainty on N 2 O from stati
Page 45 and 46: 1.8 General assessment of the compl
Page 47 and 48: 2 Trends in Greenhouse Gas Emission
Page 49 and 50: 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: 70000 60000 50000 40000 30000 20000
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 and 102: 3.3.2.2 Methodologies and reference
Page 103 and 104: Table 3.26 Fuel specific emission f
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
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6 The emission of greenhouse gases
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Table 6.2 List of institutes involv
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NERI receives the data from differe
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approximately 6%, which nearly corr
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6.3.2 Methodological issues 6.3.2.1
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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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