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Appendix 3A-10 Emission inventory 2003 based on SNAP sectors Table 3A-52 Emission inventory 2003 based on SNAP sectors. Total 01 308 Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã 17461 64508 4263 15706 12629 37354 1057 1432 1141 953 458 215 503 615 716 3326 1906 1028 13338 242 33 15 8 19 8 101 - 0 - 0 0 0 - - - - - - - - - - - - - - - - - - - 10101 14017 39525 411 491 2936 23735 722 746 601 495 128 18 240 142 214 1902 256 948 40 23 5 1 1 4 2 10102 969 4161 56 45 706 3841 51 134 89 72 162 79 98 218 156 232 903 48 8656 2 0 0 0 0 0 10103 568 1360 16 23 255 1169 14 56 39 32 134 34 29 107 124 148 438 1 2702 4 0 0 0 0 0 10104 482 3768 78 78 585 2917 89 154 151 126 6 4 4 8 5 51 79 5 249 19 5 1 1 2 2 10105 44 5500 3191 14597 5199 1704 36 25 6 5 0 0 0 0 0 4 0 0 1 4 1 1 0 0 0 102 - - - - - - - - - - - - - - - - - - - - - - - - - 10201 - - - - - - - - - - - - - - - - - - - - - - - - - 10202 40 67 11 9 65 63 2 5 4 4 2 3 3 3 2 54 3 2 30 1 0 0 0 0 0 10203 837 1837 440 315 2429 1379 49 181 130 103 14 65 99 126 211 353 205 10 1658 186 20 11 5 12 4 10204 - - - - - - - - - - - - - - - - - - - - - - - - - 10205 0 29 20 89 30 10 0 0 0 0 - - - - - - - - - 0 0 - - - - 103 - - - - - - - - - - - - - - - - - - - - - - - - - 10301 - - - - - - - - - - - - - - - - - - - - - - - - - 10302 - - - - - - - - - - - - - - - - - - - - - - - - - 10303 - - - - - - - - - - - - - - - - - - - - - - - - - 10304 8 626 2 2 24 216 8 19 19 19 - - - - - - - - - - - - - - - 10305 - - - - - - - - - - - - - - - - - - - - - - - - - 10306 487 1020 - - 219 796 27 109 100 96 13 12 30 12 4 582 21 11 3 2 0 0 0 0 0 104 - - - - - - - - - - - - - - - - - - - - - - - - - 10401 - - - - - - - - - - - - - - - - - - - - - - - - - 10402 - - - - - - - - - - - - - - - - - - - - - - - - - 10403 - - - - - - - - - - - - - - - - - - - - - - - - - 10404 - - - - - - - - - - - - - - - - - - - - - - - - - 10405 - - - - - - - - - - - - - - - - - - - - - - - - - 10406 - - - - - - - - - - - - - - - - - - - - - - - - - 10407 - - - - - - - - - - - - - - - - - - - - - - - - - 105 - - - - - - - - - - - - - - - - - - - - - - - - - 10501 - - - - - - - - - - - - - - - - - - - - - - - - - 10502 0 34 1 2 9 18 0 0 0 0 - - - - - - - - - - - - - - - 10503 - - - - - - - - - - - - - - - - - - - - - - - - - 10504 8 6562 37 39 163 1501 58 3 2 1 - - - - - - - - - 0 0 0 0 0 0 10505 1 19 2 17 11 3 0 0 0 0 - - - - - - - - - - - - - - - 10506 - - - - - - - - - - - - - - - - - - - - - - - - - Total 02 3612 7654 13494 7617 158778 7830 215 12323 11683 11048 71 146 113 219 273 821 327 173 3032 13724 3742 1224 2879 3877 2139 201 248 765 622 257 607 1005 25 168 166 157 10 19 41 44 69 166 150 19 527 792 217 72 165 223 117 20101 - - - - - - - - - - - - - - - - - - - - - - - - - 20102 - - - - - - - - - - - - - - - - - - - - - - - - - 20103 106 17 1 1 5 18 1 22 19 15 5 1 3 13 25 3 4 0 27 1 0 - 0 0 - 20104 0 4 0 0 0 2 0 - - - - - - - - - - - - - - - - - - 20105 11 459 127 704 324 103 2 2 0 0 - - - - - - - - 0 0 0 0 - 0 0 20106 - - - - - - - - - - - - - - - - - - - - - - - - - 202 1737 4619 10945 3807 148987 5629 159 11600 11004 10417 35 111 30 140 155 52 129 130 2392 12355 3372 1124 2574 3485 1816
20201 - - - - - - - - - - - - - - - - - - - - - - - - - 20202 0 2 0 1 1 4 0 0 0 0 - - - - - - - - - - - - - - - 20203 - - - - - - - - - - - - - - - - - - - - - - - - - 20204 0 244 170 755 254 83 2 1 0 0 - - - - - - - - - 0 0 0 - 0 0 20205 - - - - - - - - - - - - - - - - - - - - - - - - - 203 1497 805 1288 461 7971 780 23 526 492 459 21 15 37 23 24 594 43 24 85 574 153 27 140 168 205 20301 - - - - - - - - - - - - - - - - - - - - - - - - - 20302 3 2 0 0 2 1 0 0 0 0 0 0 0 0 0 4 0 0 0 1 0 0 0 0 0 20303 0 7 0 0 0 3 0 0 - - - - - - - - - - - - - - - - - 20304 11 731 341 1632 625 202 4 4 1 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 20305 - - - - - - - - - - - - - - - - - - - - - - - - - Total 03 5851 13419 721 1485 12308 5452 149 1023 683 407 193 169 368 177 237 4684 1154 791 1542 3468 92 16 26 8 7 301 3253 3120 394 417 2540 3148 77 251 185 136 86 114 186 120 71 3453 165 81 883 166 12 10 1 3 3 30101 - - - - - - - - - - - - - - - - - - - - - - - - - 30102 1241 490 33 43 132 416 10 129 40 13 28 22 59 26 10 1063 49 21 23 27 2 2 0 1 1 30103 7 43 14 11 74 37 1 6 4 3 - 2 - 2 2 - 1 - 40 1 0 0 - 0 - 30104 2 610 9 10 40 373 14 1 0 0 - - - - - - - - - 0 - 0 - 0 0 30105 1 267 181 807 274 90 2 1 0 0 0 0 0 0 - 1 0 0 - 0 0 0 - 0 0 30106 0 1 0 0 1 1 0 0 0 0 0 - 0 0 0 - 0 0 0 0 - - - - - 302 - - - - - - - - - - - - - - - - - - - - - - - - - 30203 - - - - - - - - - - - - - - - - - - - - - - - - - 30204 - - - - - - - - - - - - - - - - - - - - - - - - - 30205 - - - - - - - - - - - - - - - - - - - - - - - - - 303 - - - - - - - - - - - - - - - - - - - - - - - - - 30301 - - - - - - - - - - - - - - - - - - - - - - - - - 30302 - - - - - - - - - - - - - - - - - - - - - - - - - 30303 - - - - - - - 175 52 8 26 12 96 - - 113 629 437 437 - - - - - - 30304 - - - - - - - - - - - - - - - - - - - - - - - - - 30305 - - - - - - - - - - - - - - - - - - - - - - - - - 30306 - - - - - - - - - - - - - - - - - - - - - - - - - 30307 - - - - - - - 2 1 1 - 0 - 1 - - 9 - - - - - - - - 30308 - - - - - - - 1 0 0 - - - - - - - - - - - - - - - 30309 - - - - - - - - - - - - - - - - - - - - - - - - - 30310 - - - - - - - 24 21 10 - - - - - - - - - - - - - - - 30311 882 8401 77 177 1103 1225 40 175 157 70 51 18 25 25 153 51 25 18 127 3264 78 3 25 2 2 30312 - - - - - - - 30 15 3 - - - - - - - - - - - - - - - 30313 - - - - - - - - - - - - - - - - - - - - - - - - - 30314 - - - - - - - - - - - - - - - - - - - - - - - - - 30315 0 397 2 6 6 54 1 26 23 21 - - - - - - 272 234 25 - - - - - - 30316 - - - - - - - 102 92 71 - - - - - - - - - - - - - - - 30317 - - - - - - - - - - - - - - - - - - - - - - - - - 30318 464 89 10 14 8137 106 3 103 92 72 2 0 2 2 1 3 4 0 7 10 1 1 0 0 0 30319 - - - - - - - - - - - - - - - - - - - - - - - - - 30320 - - - - - - - - - - - - - - - - - - - - - - - - - 30321 - - - - - - - - - - - - - - - - - - - - - - - - - 30322 - - - - - - - - - - - - - - - - - - - - - - - - - 30323 - - - - - - - - - - - - - - - - - - - - - - - - - 30324 - - - - - - - - - - - - - - - - - - - - - - - - - 30325 - - - - - - - - - - - - - - - - - - - - - - - - - 30326 - - - - - - - - - - - - - - - - - - - - - - - - - 30327 - - - - - - - - - - - - - - - - - - - - - - - - - 1) Including CO2 emission from biomass 2) SNAP sector codes are shown in Appendix 3A-2 309
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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).
Page 191 and 192:
Table A2.3 ÃÃÃÃÃÃÃÃÃÃ
Page 193 and 194:
As a result the sectoral total in C
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Since, the Danish SWDSs are well-ma
Page 197 and 198:
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
Page 205 and 206:
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
Page 215 and 216:
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
Page 225 and 226:
7KH UHVXOW RI WKH NH\ VRXUFH DQDO\V
Page 227 and 228:
7DEOHV $ ± $ RI WKH *RRG 3UDFWLFH
Page 229 and 230:
Table 3. Key source analysis 1990-2
Page 231 and 232:
Annex 3 Other detailed methodologic
Page 233 and 234:
1 Introduction The Danish atmospher
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Stationary combustion plants are in
Page 237 and 238:
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
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 and 300: Appendix 3A-6 Uncertainty estimates
Page 301 and 302: Table 3A-42 Uncertainty estimation,
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: Table 3A-51 Fuel category correspon
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
Page 351 and 352: Year Category Mode SO2 NOx NMVOC CH
Page 353 and 354: 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
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Suckling cattle 170.2 Swine Average
Page 365 and 366:
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
Page 411 and 412:
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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