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

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Table 3A-41 Uncertainty estimation, CO 2 . 298 Ã Ã Ã Ã ÃÃ Ã Ã Ã Ã Ã Ã Ã Ã ÃÈ Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Input Input Input Input data data data data Gg CO2 Gg CO2 % % % % % % % % % Stationary Combustion, Coal CO2 24077 22609 1 5 5,099 2,713 -0,108 0,591 -0,539 0,836 0,995 Stationary Combustion, BKB CO2 11 0 3 5 5,831 0,000 0,000 0,000 -0,002 0,000 0,002 Stationary Combustion, Coke CO2 138 108 3 5 5,831 0,015 -0,001 0,003 -0,006 0,012 0,013 Stationary Combustion, Petroleum coke CO2 410 779 3 5 5,831 0,107 0,008 0,020 0,042 0,086 0,096 Stationary Combustion, Plastic waste CO2 349 649 5 5 7,071 0,108 0,007 0,017 0,034 0,120 0,125 Stationary Combustion, Residual oil CO2 2505 2120 2 2 2,828 0,141 -0,017 0,055 -0,035 0,157 0,161 Stationary Combustion, Gas oil CO2 4564 2918 4 5 6,403 0,440 -0,056 0,076 -0,281 0,432 0,515 Stationary Combustion, Kerosene CO2 366 24 4 5 6,403 0,004 -0,010 0,001 -0,050 0,004 0,050 Stationary Combustion, Orimulsion CO2 0 154 1 2 2,236 0,008 0,004 0,004 0,008 0,006 0,010 Stationary Combustion, Natural gas CO2 4330 11152 3 1 3,162 0,830 0,166 0,292 0,166 1,237 1,248 Stationary Combustion, LPG CO2 164 74 4 5 6,403 0,011 -0,003 0,002 -0,014 0,011 0,018 Stationary Combustion, Refinery gas CO2 806 942 3 5 5,831 0,129 0,001 0,025 0,006 0,105 0,105 Total CO2 37720 41529 8,693 2,920 Ã ÃÃÃÃÃÈ ÃÃÈ Ã Ã Ã Ã Ã Ã Ã
Table 3A-42 Uncertainty estimation, CH 4 . Ã Ã Ã Ã ÃÃ Ã Ã Ã Ã Ã Ã Ã ÃÈ Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã 299 Ã Ã Ã Ã Ã Ã Ã Input Input Input Input data data data data Mg CH4 Mg CH4 % % % % % % % % % Stationary combustion plants, gas engines CH4 305 18601 2,2 40 40,060 30,036 2,993 3,221 119,728 10,023 120,147 Stationary combustion plants, o<strong>the</strong>r CH4 5470 6208 2,2 100 100,024 25,029 -2,967 1,075 -296,668 3,345 296,687 Total CH4 5774 24809 1528,6 102459 Ã ÃÃÃÃÃÈ ÃÃÈ Table 3A-43 Uncertainty estimation, N 2 O. Ã Ã Ã Ã ÃÃ Ã Ã Ã Ã Ã Ã ÃÈ Ã Ã Ã Ã Ã Ã ÃÃ Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Input Input Input Input data data data data Gg N2O Gg N2O % % % % % % % % % Stationary combus- N2O 1,283 1,420 2,200 1000,00 1000,00 1000,00 0,000 1,107 0,000 3,444 3,444 tion plants 0 2 2 Total N2O 1,283 1,420 1000005 11,858 Ã ÃÃÃÃÃÈ ÃÃÈ
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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.
Page 249 and 250: tricity trade, fuel consumption and
Page 251 and 252: Figure 3A-6 depicts the time-series
Page 253 and 254: 1A4a Commercial / Institutional 2%
Page 255 and 256: CO 2 [Tg] 60 50 40 30 20 10 0 1990
Page 257 and 258: Other stationary combustion plants
Page 259 and 260: 1A4a Commercial / Institutional 2%
Page 261 and 262: only accounted for a small portion
Page 263 and 264: Electricity and heat production is
Page 265 and 266: The use of wood in residential boil
Page 267 and 268: straw consumption in residential pl
Page 269 and 270: • The IPCC reference approach val
Page 271 and 272: Table 3A-21 Key sources, stationary
Page 273 and 274: emission are N 2 O emission (all pl
Page 275 and 276: enewable fuels has increased. The D
Page 277 and 278: Jørgensen, L. & Johansen, L. P. 20
Page 279 and 280: Appendix 3A-1 The Danish emission i
Page 281 and 282: 030203 Blast furnace cowpers 1A2a 0
Page 283 and 284: Table 3A-28 Detailed fuel consumpti
Page 285 and 286: 1A2f 118 SEWAGE SLUDGE 030311 40162
Page 287 and 288: Appendix 3A-4 Emission factors Tabl
Page 289 and 290: Table 3A-33 N 2 O emission factors
Page 291 and 292: 7. Bjerrum M., 2002. Danish Technol
Page 293 and 294: NOX NATURAL GAS 010105 1A1a 276 241
Page 295 and 296: 019 Enstedvaerket 04 010101 204 GAS
Page 297 and 298: Table 3A-39 Large point sources, pl
Page 299: Appendix 3A-6 Uncertainty estimates
Page 303 and 304: Table 3A-47 Uncertainty estimation,
Page 305 and 306: Table 3A-49 Fuel category correspon
Page 307 and 308: Appendix 3A-9 Reference approach Ã
Page 309 and 310: Table 3A-51 Fuel category correspon
Page 311 and 312: 20201 - - - - - - - - - - - - - - -
Page 313 and 314: Passenger Cars Diesel >2.0 l Euro I
Page 315 and 316: Passenger Cars Gasoline 2.0 l Euro
Page 317 and 318: Buses Urban Buses Conventional 0 19
Page 319 and 320: Sector Subsector Tech FYear LYear 1
Page 325 and 326: Sector Subsector Tech FCu FCr FCh C
Page 327 and 328: Sector Subsector Tech COu COr COh N
Page 329 and 330: Sector Subsector Tech COuR COrR COh
Page 331 and 332: Annex 3B-5: Fuel use factors (MJ/km
Page 333 and 334: 2-wheelers 1999 1.195 1.264 1.578 8
Page 335 and 336: 2-wheelers 1991 6.249 4.379 2.011 6
Page 337 and 338: 2002 Heavy Duty Vehicles 37849451 8
Page 339 and 340: Annex 3B-7: COPERT III:DEA statisti
Page 341 and 342: 0808 Excavators (wheel type) 1000 1
Page 343 and 344: 0808 Forklifts 5-10 tons (diesel) 0
Page 345 and 346: 0809 Trimmers 60000 0.8 0.5 15 10 1
Page 347 and 348: 1990 80502 Air traffic. other airpo
Page 349 and 350: 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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