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

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Transport, Industry (mobile) CH4 3 3 40 100 107,703 0,005 0,000 0,000 0,000 0,003 0,003 Transport, Residential CH4 3 3 51 100 112,254 0,004 0,000 0,000 -0,001 0,003 0,003 Transport, Civil aviation CH4 0 0 10 100 100,499 0,000 0,000 0,000 0,000 0,000 0,000 Transport, Road transport N2O 131 416 2 50 50,040 0,282 0,004 0,006 0,199 0,017 0,200 Transport, Military N2O 1 1 2 1000 1000,002 0,020 0,000 0,000 0,002 0,000 0,002 Transport, Railways N2O 3 2 2 1000 1000,002 0,025 0,000 0,000 -0,012 0,000 0,012 Transport, Navigation (small boats) N2O 1 1 56 1000 1001,567 0,014 0,000 0,000 0,006 0,001 0,006 Transport, Navigation (large vessels) N2O 9 8 2 1000 1000,002 0,113 0,000 0,000 -0,025 0,000 0,025 Transport, Fisheries N2O 15 12 2 1000 1000,002 0,168 0,000 0,000 -0,052 0,001 0,052 Transport, Agriculture N2O 17 16 26 1000 1000,338 0,212 0,000 0,000 -0,034 0,008 0,035 Transport, Forestry N2O 0 0 26 1000 1000,338 0,000 0,000 0,000 0,000 0,000 0,000 Transport, Industry (mobile) N2O 10 10 40 1000 1000,800 0,134 0,000 0,000 -0,016 0,008 0,018 Transport, Residential N2O 1 1 51 1000 1001,300 0,008 0,000 0,000 -0,001 0,001 0,001 Transport, Civil aviation N2O 3 3 10 1000 1000,050 0,034 0,000 0,000 -0,013 0,001 0,013 Energy, fugitive emissions, oil and natural gas CO2 263 550 15 5 15,811 0,118 0,004 0,008 0,019 0,168 0,169 Energy, fugitive emissions, solid fuels CH4 72 93 2 200 200,010 0,252 0,000 0,001 0,046 0,004 0,046 Energy, fugitive emissions, oil and natural gas CH4 38 84 15 50 52,202 0,059 0,001 0,001 0,031 0,026 0,040 Energy, fugitive emissions, oil and natural gas N2O 1 3 15 50 52,202 0,002 0,000 0,000 0,001 0,001 0,001 6 A. Solid Waste Disposal on Land CH4 1334 1153 10 40,8 42,008 0,656 -0,004 0,017 -0,158 0,235 0,283 6 B. Wastewater Handling CH4 200 244 20 35 40,311 0,133 0,000 0,004 0,016 0,100 0,101 6 B. Wastewater Handling N2O 88 61 10 30 31,623 0,026 0,000 0,001 -0,014 0,012 0,019 2A1 Cement production CO2 882 1370 1 2 2,236 0,042 0,006 0,020 0,012 0,028 0,031 2A2 Lime production CO2 138 102 5 5 7,071 0,010 -0,001 0,001 -0,003 0,010 0,011 2A7 Glass and Glass wool CO2 17 13 5 2 5,385 0,001 0,000 0,000 0,000 0,001 0,001 2B5 Catalysts/Fertilizers, Pesticides and Sulphuric acid CO2 2 3 5 5 7,071 0,000 0,000 0,000 0,000 0,000 0,000 2C1 Iron and steel production CO2 28 0 5 5 7,071 0,000 0,000 0,000 -0,002 0,000 0,002 2B2 Nitric acid production N2O 1043 895 2 25 25,080 0,304 -0,003 0,013 -0,078 0,037 0,086 2F Consumption of HFC HFC 218 695 10 50 50,990 0,481 0,007 0,010 0,334 0,142 0,363 2F Consumption of PFC PFC 1 19 10 50 50,990 0,013 0,000 0,000 0,014 0,004 0,014 2F Consumption of SF6 SF6 107 31 10 50 50,990 0,022 -0,001 0,000 -0,060 0,006 0,060 4A Enteric Fermentation CH4 3110 2734 10 8 12,806 0,474 -0,008 0,039 -0,067 0,558 0,562 4B Manure Management CH4 743 972 10 100 100,499 1,323 0,003 0,014 0,261 0,198 0,328 4B Manure Management N2O 685 560 10 100 100,499 0,763 -0,002 0,008 -0,244 0,114 0,270 4D Agricultural Soils N2O 8308 5632 7,6 19,6 21,022 1,604 -0,046 0,081 -0,909 0,874 1,260 Ã Ã ÃÃÃ È 404 Ã ÃÈ
Annex 8 Other annexes – (Any other relevant information) 2.1.1 Quality Control The QC has to be based on clear measurable factors, otherwise the QP will end up being just a lose declaration of intent. Thus in the following a series of Point for Measuring (PM) is identified as building blocks for a solid QC. The levels refer to the data structure outlined in Figure 2. This part of the development for QC is still under discussion and may thus be adjusted during 2005. Level 1 Transparency The reasoning behind any specific value of external data has to be perceptible. PM 1.1: One to one references for any external data source has to be available for any single number in any data set. The data at level 1 has to be perceptible in relation to inventory work at higher levels, where questions regarding the output of the emission inventory can be assessed by tracking back to the base set. PM 1.2: The data Id at level 1 has to be linked directly to the Ids used in higher level data sets. Consistency The consistency has to be kept as much as possible at level 1 PM 1.3: The origin of external data has to be preserved when it is possible without damaging other PM’s Comparability Not relevant PM at this level Completeness The collection of external data needs to be complete in order not to miss important and potential available information PM 1.4: Documentation showing that all possible national data sources are included by setting up the reasoning for the selection of Accuracy The best available external data sources have to be applied. PM 1.6: Quantification of the uncertainty level of every single data value including the reasoning for the specific values. 405
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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
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from national fishing and off-road
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3 Energy (CRF sector 1) 3.1 Overvie
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Table 3.3 CH 4 emission from the en
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Fuel consumption time-series for st
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Degree days Fuel consumption adjust
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Table 3.7 CO 2 emission from subsec
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The CH 4 emission from stationary c
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3.2.1.3.4 SO , NO , NMVOC and CO 2
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The fuel consumption of area source
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Table 3.12 CH 4 emission factors 19
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− Gruijthuijsen & Jensen 2000 −
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ues from Pulles & Aardenne 2001. Th
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• Disaggregation of fuel consumpt
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3.3.1.1 Fuel consumption Table 3.18
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3-@ 90 80 70 60 50 40 30 20 10 0 19
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1,4 1,2 1,0 0,8 0,6 0,4 0,2 0,0 198
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Table 3.19 Emissions of CO 2 , CH 4
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Passenger cars 56% Passenger cars 8
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WRQV@ 120 100 80 60 40 20 0 1985 19
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70000 60000 50000 40000 30000 20000
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The NO X emission trend for Agricul
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Bunkers The most important emission
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Ã Ã Ã Ã Ã Ã
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age the emissions from catalyst car
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Where S C is the soak emission, l t
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3.3.2.2 Methodologies and reference
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Table 3.26 Fuel specific emission f
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Where E = emission, FC = fuel consu
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For non-road machinery and working
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Emission factors The Danish greenho
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A comparison of the national approa
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( , 4 = = ( ; 4 + ( , 4 −2
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In the 1990-1999 inventories fugiti
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Table 3.38 Uncertainty, CRF sector
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4 Industrial processes (CRF Sector
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The time-series for emission of CO
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4.2.5 Recalculations No source spec
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4.4 Metal production (2C) 4.4.1 Sou
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Table 4.8 Consumption of HFCs in fo
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The potential emissions have been c
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cedure consisted of a check of the
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Danish Environmental Protection Age
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Table 5.1 Emission of chemicals in
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5.2.2 Methodological issues The emi
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(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
Page 355 and 356: Pollutant CRF ID Unit 1985 1986 198
Page 357 and 358: Uncertainty estimation, CH 4 Gas Ba
Page 359 and 360: Uncertainty estimation, N 2 O IPCC
Page 361 and 362: Table. Production of Lime/Hydrated
Page 363 and 364: Suckling cattle 170.2 Swine Average
Page 365 and 366: 7DEOH 'HWDLOHG LQIRUPDWLRQ UHODWHG
Page 367 and 368: 7DEOH &KDQJHV LQ VWDEOH W\SH ± Liv
Page 369 and 370: Pullet, consumption, floor (100 pcs
Page 371 and 372: Annex 3E Solid Waste Disposal on La
Page 373 and 374: B = Biological N = Nitrification (r
Page 375 and 376: Table 3E.7. Stabilisation of sludge
Page 377 and 378: in Table 3E.9. Table 3E.9 Gross emi
Page 379 and 380: 5HFRYHUHG &+ Ã HPLVVLRQV >*J@ 14.
Page 381 and 382: Annex 3F Solvents National Atmosphe
Page 383 and 384: 83 1-ethyl-2,2,6-trimethylcyclohexa
Page 385 and 386: 191 2-methoxy-2-methylpropane 192 2
Page 387 and 388: 299 acetaldehyde 300 acetic acid 30
Page 389 and 390: 407 cyclopentane 408 cyclopenta-phe
Page 391 and 392: 515 methyl naphthalenes 516 methyl
Page 393 and 394: 624 trans-3-hexene 625 trialkyl pho
Page 395 and 396: Annex 5 Assessment of completeness
Page 397 and 398: Annex 6.1 Annex 6.1. Additional inf
Page 399 and 400: Table A6.1.2 ÃÃÃÃ Kingdom DK Ã
Page 401 and 402: Table A6.1.4 ÃÃÃÃÃÃÃÃÃ Kin
Page 403 and 404: Annex 6.2 Additional information to
Page 405: Annex 7 Table 6.1 and 6.2 of the IP
Page 409 and 410: PM 2.2: An explicit description in
Page 411 and 412: Correctness The data at level 3 has
Page 413 and 414: Level 6 Transparency The background
Page 415 and 416: Table A9.1 ÃÃÃÃ Denmark ÃÃÃ
Page 417 and 418: Table A9.3 ÃÃÃÃ Denmark ÃÃÃ
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