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

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88 As, Mg Cd, Mg Cr, Mg Cu, Mg Hg, Mg 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0.00 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0.00 0.35 0.30 0.25 0.20 0.15 0.10 0.05 0.00 0.45 0.40 0.35 0.30 0.25 0.20 0.15 0.10 0.05 0.00 0.20 0.18 0.16 0.14 0.12 0.10 0.08 0.06 0.04 0.02 0.00 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total Figure 3.43 Time-series for HM emission, 1A4 Other Sectors. 2000 2000 2000 2000 2000 2001 2001 2001 2001 2001 2002 2002 2002 2002 2002 2003 2003 2003 2003 2003 2004 2004 2004 2004 2004 2005 2005 2005 2005 2005 2006 2006 2006 2006 2006 2007 2007 2007 2007 2007 2008 2008 2008 2008 2008 2009 2009 2009 2009 2009 Ni, Mg Pb, Mg Se, Mg Zn, Mg 1.8 1.6 1.4 1.2 1.0 0.8 0.6 0.4 0.2 0.0 2.5 2.0 1.5 1.0 0.5 0.0 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 1990 0.16 0.14 0.12 0.10 0.08 0.06 0.04 0.02 0.00 5.0 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 2000 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 2003 2003 2004 2004 2004 2004 2005 2005 2005 2005 2006 2006 2006 2006 2007 2007 2007 2007 2008 2008 2008 2008 2009 2009 2009 2009
Benzo(a)pyrene, Mg Benzo(b)fluoranthene, Mg Dioxin, g I-Tec. 6 5 4 3 2 1 0 6 5 4 3 2 1 0 1990 1990 25 20 15 10 5 0 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2000 2000 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 2001 2001 2001 2002 2002 2002 Figure 3.44 Time-series for PAH, dioxin and HCB emission, 1A4 Other Sectors. 2003 2003 2003 2004 2004 2004 2005 2005 2005 2006 2006 2006 2007 2007 2007 2008 2008 2008 2009 2009 2009 Benzo(k)fluoranthene, Mg Indeno(1,2,3-c,d)pyrene, Mg HCB, kg 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 0.25 0.20 0.15 0.10 0.05 0.00 1990 1991 1992 1993 1994 $ D &RPPHUFLDO DQG LQVWLWXWLRQDO SODQWV The subcategory &RPPHUFLDO DQG LQVWLWXWLRQDO SODQWV has low fuel consumption and emissions compared to the other stationary combustion emission source categories. Figure 3.45 shows the time-series for fuel consumption and emissions. The fuel consumption in commercial/institutional plants has decreased 27 % since 1990 and there has been a change of fuel type. The fuel consumption consists mainly of gas oil and natural gas. The consumption of gas oil has decreased and the consumption of natural gas has increased since 1990. The consumption of wood and biogas has also increased. The wood consumption in 2009 was five times the consumption in 1990. The SO2 emission has decreased 93 % since 1990. The decrease is a result of both the change of fuel from gas oil to natural gas and of the lower sulphur content in gas oil and in residual oil. The lower sulphur content (0.05 % for gas oil since 1995 and 0.7 % for residual oil since 1997) is a result of Danish tax laws (MST 1998). 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 1A4a Commercial/ Institutional 1A4b i Residential 1A4c i Agriculture/ Forestry 1A4 Total 2000 2000 2000 2001 2001 2001 2002 2002 2002 2003 2003 2003 2004 2004 2004 2005 2005 2005 2006 2006 2006 2007 2007 2007 2008 2008 2008 2009 2009 2009 89
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 $FLGLI\LQJ
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10 reduced emissions is mainly incr
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12 Danish energy statistics have, f
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14 ,QGXVWULDO SURFHVVHV Recalculati
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16 ,, 8GYLNOLQJHQ L HPLVVLRQHU )RUV
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18 kilde til emission af kobber er
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20 6¡IDUW Brændselsforbrug for sk
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22 en stigning i NH3 emissionen for
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24 UNECE-LRTAP Convention of the An
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26 Table 1.1 List of current data s
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28 A list of all subsectors at the
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30 )XJLWLYH HPLVVLRQV IURP QDWXUDO
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32 Please refer to Chapter 5 for fu
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34 Table 1.2 Danish uncertainty est
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36 NR is used for pollutants prior
Page 40 and 41: 38 ��Ã�� Acid-
Page 42 and 43: 40 ��Ã��
Page 44 and 45: 42 ��Ã��
Page 46 and 47: 44 �� Industrial Processes 1% N
Page 48 and 49: 46 �Ã�� Non-industrial
Page 50 and 51: 48 Table 3.1 NFR source categories
Page 52 and 53: 50 (PLVVLRQ VRXUFH FDWHJRULHV In th
Page 54 and 55: 52 Fuel consumption, PJ Fuel consum
Page 56 and 57: 54 sumption in ,QGXVWU\ in 2009 add
Page 58 and 59: 56 (PLVVLRQV 62� Stationary combu
Page 60 and 61: 58 the reduced emission from electr
Page 62 and 63: 60 NMVOC, Gg 25 20 15 10 5 0 1990 1
Page 64 and 65: 62 The primary sources of PM emissi
Page 66 and 67: 64 PM, Gg PM 2.5, Gg 30 25 20 15 10
Page 68 and 69: 66 Table 3.11 Decrease in heavy met
Page 70 and 71: 68 3$+ 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 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 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 � 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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Page 280 and 281:
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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$QQH[ $ (PLVVLRQ IDFWRUV Table 2A-4
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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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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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�� 049 Ren
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396 national emissions in year t du
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398 ��Ã S
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400 ��Ã S
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402 ��Ã S
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406 • Monthly reporting by e-mail
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408 ��Ã��Ã �
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410 ��Ã��Ã �
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412 $QQH[ $ 7LPH VHULHV Fuel consum
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Table 6.1 List of external data sou
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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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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
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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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$QQH[ % 7UDIILF GDWD DQG GLIIHUHQW
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Ferry data: Sailing time (single tr
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$QQH[ % 8QFHUWDLQW\ HVWLPDWHV Uncer
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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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