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

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148 Figure 3.87 Most frequent domestic flying routes for large aircraft in Denmark. Copenhagen Airport is the starting or end point for most of the domestic aviation made by large aircraft in Denmark (Figure 3.87). Even though many domestic flights not touching Copenhagen Airport are also reported in the flight statistics kept by CAA-DK, these flights, however, are predominantly made with small piston engine aircraft using aviation gasoline. Hence, the consumption of jet fuel by flights not using Copenhagen is merely marginal. 1RQ URDG ZRUNLQJ PDFKLQHU\ DQG HTXLSPHQW Non-road working machinery and equipment are used in agriculture, forestry and industry, for household/gardening purposes and in inland waterways (recreational craft). Information on the number of different types of machines, their respective load factors, engine sizes and annual working hours has been provided by Winther et al. (2006). The stock development from 1985-2009 for the most important types of machinery are shown in Figures 3.88-3.95 below. The stock data are also listed in Annex 2.B.10, together with figures for load factors, engine sizes and annual working hours. As regards stock data for the remaining machinery types, please refer to (Winther et al., 2006). It is important to note that from key experts in the field of industrial non road activities a significant decrease in the activities is assumed for 2009 due to the global financial crisis. This reduction is in the order of 25 % for 2009 for industrial non road in general (pers. comm. Per Stjernqvist, Volvo Construction Equipment 2010). For fork lifts, 5 % and 20 % reductions are assumed for 2008 and 2009, respectively (pers. comm. Peter H. Møller, Rocla A/S). For agriculture, the total number of agricultural tractors and harvesters pr year are shown in the Figures 3.88-3.89, respectively. The figures clearly show a decrease in the number of small machines, these being replaced by machines in the large engine-size ranges.
No. No. 80000 70000 60000 50000 40000 30000 20000 10000 7000 6000 5000 4000 3000 2000 1000 0 1985 1986 1987 1988 1989 1990 1991 1992 1993 Agricultural tractors (diesel) < 80 kW Agricultural tractors (diesel) > 80 kW 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 0 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Figure 3.88 Total numbers in kW classes for tractors from 1985 to 2009. 85,8 93,2 96,9 37,3 44,7 48,5 52,2 55,9 59,7 63,4 67,1 70,8 100,7 111,9 126,8 130,5 156,6 186,4 149
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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
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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
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
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Page 140 and 141: 138 2000 � 1600 � Ã� Ã� 1
Page 142 and 143: 140 Table 3.28 Overview of the exis
Page 144 and 145: 142 8') 8 ⋅ 07& + 8 = , MTC < UMA
Page 146 and 147: 144 (YDSRUDWLYH HPLVVLRQV IURP JDVR
Page 148 and 149: 146 The final fuel use and emission
Page 152 and 153: 150 No. No. 30000 25000 20000 15000
Page 154 and 155: 152 [No] 4500 4000 3500 3000 2500 2
Page 156 and 157: 154 ��
Page 158 and 159: 156 Table 3.30 Domestic ferry route
Page 160 and 161: 158 national sea transport in the D
Page 162 and 163: 160 Table 3.32 Overview of the EU E
Page 164 and 165: Table 3.35 Current certification li
Page 166 and 167: 164 Table 3.37 Current legislation
Page 168 and 169: 166 Table 3.38 Fuel based emission
Page 170 and 171: 168 1RQ URDG ZRUNLQJ PDFKLQHU\ DQG
Page 172 and 173: 170 ( = )& ⋅ () (27) where E = em
Page 174 and 175: 172 tions, transport to Greenland a
Page 176 and 177: 174 5RDG WUDQVSRUW The total mileag
Page 178 and 179: 176 Delvig, P. 2010: Unpublished da
Page 180 and 181: 178 Winther, M. 2005: Kyoto notat -
Page 182 and 183: 180 Table 3.41 Summary of the Danis
Page 184 and 185: 182 2IIVKRUH DFWLYLWLHV Fugitive em
Page 186 and 187: 184 Coal import, Gg . 16000 14000 1
Page 188 and 189: 186 gasoline sales show an increase
Page 190 and 191: 188 Venting in gas treatment and st
Page 192 and 193: 190 and Kilde (1994) for the years
Page 194 and 195: 192 Table 3.48 Emission factors for
Page 196 and 197: 194 Table 3.54 Emissions of NMVOC f
Page 198 and 199: 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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340 Table 2A-2.2 Detailed fuel cons
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342 ��Ã
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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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02 MUNICIP. WASTES 44 STRAW 25 Hade
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396 national emissions in year t du
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406 • Monthly reporting by e-mail
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408 ��Ã��Ã �
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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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Uncertainty estimation, Lead. 582 G
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Uncertainty estimation, Flouranthen
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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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