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ANNUAL DANISH INfORMATIVE INVENTORY
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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
- Page 40 and 41: 38 �������� Acid-
- Page 42 and 43: 40 ����������
- Page 44 and 45: 42 ����������
- Page 46 and 47: 44 �� Industrial Processes 1% N
- Page 48 and 49: 46 ����� Non-industrial
- Page 50 and 51: 48 Table 3.1 NFR source categories
- Page 52 and 53: 50 (PLVVLRQ VRXUFH FDWHJRULHV In th
- Page 54 and 55: 52 Fuel consumption, PJ Fuel consum
- Page 56 and 57: 54 sumption in ,QGXVWU\ in 2009 add
- Page 58 and 59: 56 (PLVVLRQV 62� Stationary combu
- Page 60 and 61: 58 the reduced emission from electr
- Page 62 and 63: 60 NMVOC, Gg 25 20 15 10 5 0 1990 1
- Page 64 and 65: 62 The primary sources of PM emissi
- Page 66 and 67: 64 PM, Gg PM 2.5, Gg 30 25 20 15 10
- Page 68 and 69: 66 Table 3.11 Decrease in heavy met
- Page 70 and 71: 68 3$+ Stationary combustion plants
- Page 72 and 73: 70 Benzo(a)pyrene Benzo(a)pyrene, M
- Page 74 and 75: 72 plants has increased due to incr
- Page 76 and 77: 74 Fuel consumption, PJ SO2, Gg____
- Page 78 and 79: As, Mg_____ Cd, Mg_____ Cr, Mg_____
- Page 80 and 81: 78 SO2, Gg____ NOx, Gg_____ Fuel co
- Page 82 and 83: 80 SO2, Gg____ NOx, Gg_____ Fuel co
- Page 84 and 85: 82 Fuel consumption, PJ 90 80 70 60
- Page 86 and 87: 84 As, Mg_____ 0.00 0.05 0.10 0.15
- Page 88 and 89: 86 Fuel consumption, PJ 1A4 Other S
- Page 92 and 93: 90 SO2, Gg____ NOx, Gg_____ Fuel co
- Page 94 and 95: 92 SO2, Gg____ NOx, Gg_____ Fuel co
- Page 96 and 97: 94 software for inventories. The me
- Page 98 and 99: 96 Both traded and non-traded fuels
- Page 100 and 101: 98 ƒ Christiansen et al. (1997).
- Page 102 and 103: 100 The emission factors for decent
- Page 104 and 105: 102 Table 3.19 Danish uncertainty e
- Page 106 and 107: 104 Danish Energy Agency (DEA), 201
- Page 108 and 109: 106 Miljøstyrelsen (MST), 2010: An
- Page 110 and 111: 108 Table 3.20 SNAP - NFR correspon
- Page 112 and 113: 110 sumption development is due to
- Page 114 and 115: 112 these types of machinery, the D
- Page 116 and 117: 114 � � 5 4,5 4 3,5 3 2,5 2 1,5
- Page 118 and 119: 116 Table 3.22 Emissions of SO2, NO
- Page 120 and 121: 118 7RQQHV 600000 500000 400000 300
- Page 122 and 123: 120 7RQQHV 8000 7000 6000 5000 4000
- Page 124 and 125: 122 The TSP emission development fo
- Page 126 and 127: 124 Residential (1A4b) 0% Agr./for.
- Page 128 and 129: 126 Table 3.24 Heavy metal emission
- Page 130 and 131: 128 Navigation (1A3d) 79% Navigatio
- Page 132 and 133: 130 Table 3.25 Dioxin and PAH emiss
- Page 134 and 135: 132 Residential (1A4b) 2% Railways
- Page 136 and 137: 134 0HWKRGRORJLFDO LVVXHV The descr
- Page 138 and 139: 136 1200 1000 � � Ã � 800 Ã
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138 2000 � 1600 � � � 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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216 Table 4.3 Emission factors for
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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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276 Table 7.8 Emission factors for
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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
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332 the Energy Statistics for 2009
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334 $QQH[ ± �H\ FDWHJRU\ DQDO\VL
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336 $QQH[ $ ,3&& 61$3 VRXUFH FRUUHV
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338 $QQH[ $ )XHO UDWH Table 2A-2.1
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340 Table 2A-2.2 Detailed fuel cons
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342 ���������Ã
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344 ���������Ã
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346 ���������Ã
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348 ���������Ã
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Table 56 Time-series for calorific
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14. Danish Gas Technology Centre 20
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pollutant fuel_type fuel nfr nfr_na
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pollutant fuel_type fuel nfr nfr_na
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pollutant fuel_type fuel nfr nfr_na
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Table 2A-4.4a PM emission factors,
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Table 2A-4.5 HM emission factors (m
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378 Ã ÃÃ ÃÃ ÃÃ ÃÃ Benzo(a)
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Table 2A-4.9a PAH emission factors
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Table 2A-4.9b PAH emission factors
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Table 2A-4.10 Dioxin and HCB emissi
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Table 2A-4.11a Dioxin and HCB emiss
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Table 2A-4.12 NH3 emission factors
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$QQH[ $ /DUJH SRLQW VRXUFHV Table 2
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02 MUNICIP. WASTES 44 STRAW 25 Hade
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396 national emissions in year t du
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398 ���������à S
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400 ���������à S
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402 ���������à S
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406 • Monthly reporting by e-mail
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408 �������à �
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410 �������à �
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412 $QQH[ $ 7LPH VHULHV Fuel consum
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416 however, included in the refere
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418 Data Processing level 1 3.Compl
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420 Some automated checks have been
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Operational data for the most impor
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Stock data for household and garden
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Stock data for small boats and plea
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Ferry data: Sailing time (single tr
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Uncertainty estimation, NH3. 578 Ga
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Uncertainty estimation, Chromium. 5
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Uncertainty estimation, Lead. 582 G
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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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