Annual Danish informative inventory report to UNECE. Emission ...

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Table 2A-4.10 Dioxin and HCB emission fac<strong>to</strong>rs 2009. ��Ã ��Ã ��Ã ��Ã ��Ã ��Ã��Ã ��Ã��Ã ��Ã��Ã ��Ã��Ã BIOMASS WOOD 1A1a Electricity and heat production 010102 4000 14 010103 4000 14 010104 4000 14 010203 4000 1 1A2 Industry 030100 4000 1 030102 4000 1 030103 4000 1 1A4a Commercial/ Institutional 020100 4000 400 020105 4000 400 1A4b i Residential 020200 4000 400 020202 4000 400 020204 4000 400 1A4c i Agriculture/ Forestry 020300 4000 400 STRAW 1A1a Electricity and heat production 010101 113 19 010102 113 19 010103 113 19 010104 113 19 010203 113 22 1A4b i Residential 020200 113 500 1A4c i Agriculture/ Forestry 020300 113 400 BIO OIL 1A1a Electricity and heat production 010105 0.882 010202 0.882 010203 0.882 1A2 Industry 030105 0.882 1A4b i Residential 020200 10 BIOGAS 1A1a Electricity and heat production 010102 0.025 010105 190 0.96 010203 0.025 1A2 Industry 030100 0.025 030102 0.025 030103 0.025 030105 190 0.96 1A4a Commercial/ Institutional 020100 2 020103 2 020105 190 0.96 1A4c i Agriculture/ Forestry 020300 2 020304 190 0.96 BIO PROD GAS 1A1a Electricity and heat production 010105 1.7 1A2 Industry 030105 1.7 WASTE MUNICIP. WASTES 1A1a Electricity and heat production 010101 4300 5 010102 4300 5 010103 4300 5 010203 4300 5 1A4a Commercial/ Institutional 020103 4300 5 GAS NATURAL GAS 1A1a Electricity and heat production 010101 0.025 010102 0.025 010103 0.025 010104 0.025 010105 0.57 010202 0.025 010203 0.025 1A1c Other energy industries 010504 0.025 1A2 Industry 030100 0.025 030103 0.025 030104 0.025 030105 0.57 030106 0.025 1A4a Commercial/ Institutional 020100 2 020103 2 020105 0.57 1A4b i Residential 020200 2 020202 2 020204 0.57 1A4c i Agriculture/ Forestry 020300 2 020304 0.57 LIQUID PETROLEUM 1A4a Commercial/ Institutional 020100 300 384 COKE RESIDUAL OIL 1A1a Electricity and heat production 010101 0.882 010102 0.882
��Ã ��Ã ��Ã ��Ã ��Ã ��Ã��Ã ��Ã��Ã ��Ã��Ã ��Ã��Ã 010103 0.882 010104 0.882 010105 0.882 010202 0.882 010203 0.882 1A1b Petroleum refining 010306 0.882 1A2 Industry 030100 0.882 030102 0.882 030103 0.882 1A4a Commercial/ Institutional 020100 10 1A4b i Residential 020200 10 1A4c i Agriculture/ Forestry 020300 10 020302 10 GAS OIL 1A1a Electricity and heat production 010101 0.882 010102 0.882 010103 0.882 010104 0.882 010105 220 0.99 010202 0.882 010203 0.882 1A1b Petroleum refining 010306 0.882 1A2 Industry 030100 0.882 030102 0.882 030104 0.882 030105 220 0.99 1A4a Commercial/ Institutional 020100 10 020103 10 020105 220 0.99 1A4b i Residential 020200 10 020204 0.99 KEROSENE 1A2 Industry 030100 0.882 1A4a Commercial/ Institutional 020100 10 1A4b i Residential 020200 10 1A4c i Agriculture/ Forestry 020300 10 LPG 1A1a Electricity and heat production 010102 0.025 010203 0.025 1A2 Industry 030100 0.025 1A4a Commercial/ Institutional 020100 2 020105 2 1A4b i Residential 020200 2 1A4c i Agriculture/ Forestry 020300 2 REFINERY GAS 1A1b Petroleum refining 010304 0.025 010306 0.025 SOLID COAL 1A1a Electricity and heat production 010101 640 1.32 010102 640 1.32 1A2 Industry 030100 640 1.32 1A4b i Residential 020200 640 800 1A4c i Agriculture/ Forestry 020300 640 300 020304 640 300 BROWN COAL BRI. 1A4b i Residential 020200 800 COKE OVEN COKE 1A2 Industry 030100 1.32 1A4b i Residential 020200 800 385
Page 1 and 2:
ANNUAL DANISH INfORMATIVE INVENTORY
Page 3 and 4:
AU ANNUAL DANISH INfORMATIVE INVENT
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&RQWHQWV 6XPPDU\ , %DFNJURXQG LQIRU
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Annex 2A-11 QA/QC for stationary co
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8 ,, 7UHQGV LQ HPLVVLRQV $FLGLI\LQJ
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10 reduced emissions is mainly incr
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12 Danish energy statistics have, f
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14 ,QGXVWULDO SURFHVVHV Recalculati
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16 ,, 8GYLNOLQJHQ L HPLVVLRQHU )RUV
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18 kilde til emission af kobber er
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20 6¡IDUW Brændselsforbrug for sk
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22 en stigning i NH3 emissionen for
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24 UNECE-LRTAP Convention of the An
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26 Table 1.1 List of current data s
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28 A list of all subsectors at the
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30 )XJLWLYH HPLVVLRQV IURP QDWXUDO
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32 Please refer to Chapter 5 for fu
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34 Table 1.2 Danish uncertainty est
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36 NR is used for pollutants prior
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38 ��Ã�� Acid-
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40 ��Ã��
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42 ��Ã��
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44 �� Industrial Processes 1% N
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46 �Ã�� Non-industrial
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48 Table 3.1 NFR source categories
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50 (PLVVLRQ VRXUFH FDWHJRULHV In th
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52 Fuel consumption, PJ Fuel consum
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54 sumption in ,QGXVWU\ in 2009 add
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56 (PLVVLRQV 62� Stationary combu
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58 the reduced emission from electr
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60 NMVOC, Gg 25 20 15 10 5 0 1990 1
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62 The primary sources of PM emissi
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64 PM, Gg PM 2.5, Gg 30 25 20 15 10
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66 Table 3.11 Decrease in heavy met
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68 3$+ Stationary combustion plants
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70 Benzo(a)pyrene Benzo(a)pyrene, M
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72 plants has increased due to incr
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74 Fuel consumption, PJ SO2, Gg____
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As, Mg_____ Cd, Mg_____ Cr, Mg_____
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78 SO2, Gg____ NOx, Gg_____ Fuel co
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82 Fuel consumption, PJ 90 80 70 60
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84 As, Mg_____ 0.00 0.05 0.10 0.15
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86 Fuel consumption, PJ 1A4 Other S
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88 As, Mg Cd, Mg Cr, Mg Cu, Mg Hg,
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94 software for inventories. The me
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96 Both traded and non-traded fuels
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98 ƒ Christiansen et al. (1997).
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100 The emission factors for decent
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102 Table 3.19 Danish uncertainty e
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104 Danish Energy Agency (DEA), 201
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106 Miljøstyrelsen (MST), 2010: An
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108 Table 3.20 SNAP - NFR correspon
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110 sumption development is due to
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112 these types of machinery, the D
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114 � � 5 4,5 4 3,5 3 2,5 2 1,5
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116 Table 3.22 Emissions of SO2, NO
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118 7RQQHV 600000 500000 400000 300
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120 7RQQHV 8000 7000 6000 5000 4000
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122 The TSP emission development fo
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124 Residential (1A4b) 0% Agr./for.
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126 Table 3.24 Heavy metal emission
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128 Navigation (1A3d) 79% Navigatio
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130 Table 3.25 Dioxin and PAH emiss
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132 Residential (1A4b) 2% Railways
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134 0HWKRGRORJLFDO LVVXHV The descr
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136 1200 1000 � � Ã � 800 Ã
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138 2000 � 1600 � Ã� Ã� 1
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140 Table 3.28 Overview of the exis
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142 8') 8 ⋅ 07& + 8 = , MTC < UMA
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144 (YDSRUDWLYH HPLVVLRQV IURP JDVR
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146 The final fuel use and emission
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148 Figure 3.87 Most frequent domes
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150 No. No. 30000 25000 20000 15000
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152 [No] 4500 4000 3500 3000 2500 2
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154 ��
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156 Table 3.30 Domestic ferry route
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158 national sea transport in the D
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160 Table 3.32 Overview of the EU E
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Table 3.35 Current certification li
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164 Table 3.37 Current legislation
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166 Table 3.38 Fuel based emission
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168 1RQ URDG ZRUNLQJ PDFKLQHU\ DQG
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170 ( = )& ⋅ () (27) where E = em
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172 tions, transport to Greenland a
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174 5RDG WUDQVSRUW The total mileag
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176 Delvig, P. 2010: Unpublished da
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178 Winther, M. 2005: Kyoto notat -
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180 Table 3.41 Summary of the Danis
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182 2IIVKRUH DFWLYLWLHV Fugitive em
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184 Coal import, Gg . 16000 14000 1
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186 gasoline sales show an increase
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188 Venting in gas treatment and st
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190 and Kilde (1994) for the years
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192 Table 3.48 Emission factors for
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194 Table 3.54 Emissions of NMVOC f
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196 and initialisation of new facil
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198 Table 3.59 Estimated emission u
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200 Extraction of oil and gas: fugi
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202 OleQGU\ QVNL � ' EVNL % 6NR V
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204 Table 4.1 Survey of industrial
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206 Table 4.2 Time-series for pollu
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208 financial crises. During the sa
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210 1 1 1 1 1 0 0 0 0 0 &KHPLFDO LQ
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212 they have not been subject to t
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214 Denmark. The emission of TSP an
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Page 220 and 221:
218 2WKHU SURGXFWLRQ FRQVXPSWLRQ VW
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220 Nielsen, O.-K., Lyck, E., Mikke
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222 products is derived from Table
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224 kt NMVOC/year 60 50 40 30 20 10
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226 tained from the respective comp
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228 over several years so there wil
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230 8QFHUWDLQWLHV DQG WLPH VHULHV F
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232 powder consists of about 75 % o
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234 Passant et al. (2003) and Fyrve
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236 Table 5.9 Emission from firewor
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238 sumentfyrverkerier, Miljö Göt
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240 $JULFXOWXUH 1)5 VHFWRU 2YHUYLHZ
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242 Another important cause of the
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244 The emissions from agricultural
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246 Table 6.3 Livestock categories
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248 Table 6.4 Livestock production
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250 creasing. This is due to measur
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252 Table 6.7 Activity data used to
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254 Table 6.10 Activity data used t
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256 Table 6.13 Livestock categories
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258 Table 6.16 PM emission from hou
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260 swine production, etc to optimi
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262 ning, as given in the CLRTAP Em
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264 implemented NH3 reduction techn
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266 :DVWH 1)5 VHFWRU The waste sect
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268 0HWKRGRORJ\ +XPDQ FUHPDWLRQ The
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270 Even though the total number of
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272 statistic data show an increase
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274 an emission factor of 28 µg pr
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278 Table 7.9b Total national emiss
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280 Table 7.10a Total national emis
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282 Table 7.11 Estimated uncertaint
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284 Table 7.13 Overview of yearly s
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286 Data Processing level 1 1. Accu
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288 Data Storage level 2 The full d
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290 Date=06%2F30%2F2004&_sk=9994499
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292 Amount composted, Gg 1200 1000
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294 • 50 kg waste pr year will in
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296 Affaldsstatistik 2007 og 2008 (
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298 and 5 % of a large fire respect
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300 for fire-fighting and will typi
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302 Table 7.21 Different types of n
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304 Table 7.22 Average vehicle mass
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306 Table 7.23 Emission factors bui
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308 material estimated in Persson e
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310 Table 7.26 Emission factors veh
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Table 7.27a National emissions from
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314 Table 7.28b National emissions
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316 UNEP toolkit, 2005: United Nati
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318 4$ 4& DQG YHULILFDWLRQ 4$ 4& SU
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320 These references exist in the d
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322 Data Processing level 1 For the
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324 2WKHU DQG QDWXUDO HPLVVLRQV Den
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326 similar methodology was used fo
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328 the localisation of the Danish
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330 • The national energy statist
Page 334 and 335:
332 the Energy Statistics for 2009
Page 336 and 337: 334 $QQH[ ± �H\ FDWHJRU\ DQDO\VL
Page 338 and 339: 336 $QQH[ $ ,3&& 61$3 VRXUFH FRUUHV
Page 340 and 341: 338 $QQH[ $ )XHO UDWH Table 2A-2.1
Page 342 and 343: 340 Table 2A-2.2 Detailed fuel cons
Page 344 and 345: 342 ��Ã
Page 346 and 347: 344 ��Ã
Page 348 and 349: 346 ��Ã
Page 350 and 351: 348 ��Ã
Page 352 and 353: Table 56 Time-series for calorific
Page 354 and 355: $QQH[ $ (PLVVLRQ IDFWRUV Table 2A-4
Page 356 and 357: 14. Danish Gas Technology Centre 20
Page 358 and 359: pollutant fuel_type fuel nfr nfr_na
Page 366 and 367: Ã ÃÃ ÃÃ ÃÃ ÃÃ ��Ã
Page 368 and 369: Table 2A-4.4a PM emission factors,
Page 370 and 371: Table 2A-4.5 HM emission factors (m
Page 372 and 373: ��Ã ��
Page 374 and 375: ��Ã ��
Page 376 and 377: ��Ã ��
Page 378 and 379: ��Ã ��
Page 380 and 381: 378 Ã ÃÃ ÃÃ ÃÃ ÃÃ Benzo(a)
Page 382 and 383: Table 2A-4.9a PAH emission factors
Page 384 and 385: Table 2A-4.9b PAH emission factors
Page 388 and 389: Table 2A-4.11a Dioxin and HCB emiss
Page 390 and 391: Table 2A-4.12 NH3 emission factors
Page 392 and 393: $QQH[ $ /DUJH SRLQW VRXUFHV Table 2
Page 394 and 395: 02 MUNICIP. WASTES 44 STRAW 25 Hade
Page 396 and 397: �� 049 Ren
Page 398 and 399: 396 national emissions in year t du
Page 400 and 401: 398 ��Ã S
Page 402 and 403: 400 ��Ã S
Page 404 and 405: 402 ��Ã S
Page 406 and 407: �� 20205 0
Page 408 and 409: 406 • Monthly reporting by e-mail
Page 410 and 411: 408 ��Ã��Ã �
Page 412 and 413: 410 ��Ã��Ã �
Page 414 and 415: 412 $QQH[ $ 7LPH VHULHV Fuel consum
Page 416 and 417: Table 6.1 List of external data sou
Page 418 and 419: 416 however, included in the refere
Page 420 and 421: 418 Data Processing level 1 3.Compl
Page 422 and 423: 420 Some automated checks have been
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444 $QQH[ % (8 GLUHFWLYH HPLVVLRQ O
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Basis factors for 2-stroke gasoline
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CH4 shares of VOC for diesel, gasol
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Annual working hours, load factors
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Operational data for the most impor
Page 488 and 489:
��Ã Size
Page 490 and 491:
��Ã Size
Page 492 and 493:
��Ã Size
Page 494 and 495:
��Ã Size
Page 496 and 497:
��Ã FuelC
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��Ã Equip
Page 500 and 501:
��Ã Equip
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Stock data for household and garden
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��Ã SNAP
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Stock data for small boats and plea
Page 508 and 509:
$QQH[ % 7UDIILF GDWD DQG GLIIHUHQW
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��Ã Ferry
Page 512 and 513:
Ferry data: Sailing time (single tr
Page 514 and 515:
��Ã Ferry
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��Ã Ferry
Page 518 and 519:
��Ã Ferry
Page 520 and 521:
��Ã High
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�� SNAP ID
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�� SNAP ID
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Year Source Category TSP PM10 PM2.5
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�� SNAP ID
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�� SNAP ID
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��Ã 548 S
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Emissions pol_name IPCC ID Unit 198
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��Ã pol_n
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$QQH[ % 8QFHUWDLQW\ HVWLPDWHV Uncer
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Uncertainty estimation, NH3. 578 Ga
Page 582 and 583:
Uncertainty estimation, Chromium. 5
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Uncertainty estimation, Lead. 582 G
Page 586 and 587:
Uncertainty estimation, Flouranthen
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Uncertainty estimation, Benzo(g,h,i
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588 Table 2C.1a Nitrogen excretion
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590 (PLVVLRQ RI 1+ � +RXVLQJ The
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592 $QQH[ & %DFNJURXQG LQIRUPDWLRQ
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594 $QQH[ & %DFNJURXQG LQIRUPDWLRQ
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596 $QQH[ ± &RPSOHWHQHVV DQG XVH R
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598 Emissions from clinical, indust
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NERI DMU National Environmental Res
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