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

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46 �Ã�� Non-industrial combustion 25% Manufacturing Industries and Construction 1% Waste 2% Energy Industries 72% HCB emission, gramme 3500 3000 2500 2000 1500 1000 500 0 1990 1992 1994 1996 1998 Total Energy Industries Non-industrial combustion Waste Manufacturing Industries and Construction Figure 2.15 HCB emissions. Distribution according to the main sectors (2009) and time-series for 1990 to 2009. 2000 2002 2004 2006 2008
(QHUJ\ 1)5 VHFWRU 2YHUYLHZ RI WKH VHFWRU The energy sector is reported in three main chapters: 3.2 Stationary combustion plants (NFR sector 1A1, 1A2 and 1A4) 3.3 Transport (NFR sector 1A2, 1A3, 1A4 and 1A5) 3.4 Fugitive emissions (NFR sector 1B) Although industrial combustion forms part of stationary combustion, detailed documentation for some of the specific industries is discussed in the industry chapters. The emissions are reported in NFR sector 1A2. Emissions from facilities with only fuel consumption in the industrial sector are included in the data presented in Chapter 6WDWLRQDU\ &RP EXVWLRQ. Table 3.1 shows detailed source categories for the energy sector and plant category in which the sector is discussed in this report. 47
Page 1 and 2: ANNUAL DANISH INfORMATIVE INVENTORY
Page 3 and 4: AU ANNUAL DANISH INfORMATIVE INVENT
Page 5 and 6: &RQWHQWV 6XPPDU\ , %DFNJURXQG LQIRU
Page 7: Annex 2A-11 QA/QC for stationary co
Page 10 and 11: 8 ,, 7UHQGV LQ HPLVVLRQV $FLGLI\LQJ
Page 12 and 13: 10 reduced emissions is mainly incr
Page 14 and 15: 12 Danish energy statistics have, f
Page 16 and 17: 14 ,QGXVWULDO SURFHVVHV Recalculati
Page 18 and 19: 16 ,, 8GYLNOLQJHQ L HPLVVLRQHU )RUV
Page 20 and 21: 18 kilde til emission af kobber er
Page 22 and 23: 20 6¡IDUW Brændselsforbrug for sk
Page 24 and 25: 22 en stigning i NH3 emissionen for
Page 26 and 27: 24 UNECE-LRTAP Convention of the An
Page 28 and 29: 26 Table 1.1 List of current data s
Page 30 and 31: 28 A list of all subsectors at the
Page 32 and 33: 30 )XJLWLYH HPLVVLRQV IURP QDWXUDO
Page 34 and 35: 32 Please refer to Chapter 5 for fu
Page 36 and 37: 34 Table 1.2 Danish uncertainty est
Page 38 and 39: 36 NR is used for pollutants prior
Page 40 and 41: 38 ��Ã�� Acid-
Page 42 and 43: 40 ��Ã��
Page 44 and 45: 42 ��Ã��
Page 46 and 47: 44 �� Industrial Processes 1% N
Page 50 and 51: 48 Table 3.1 NFR source categories
Page 52 and 53: 50 (PLVVLRQ VRXUFH FDWHJRULHV In th
Page 54 and 55: 52 Fuel consumption, PJ Fuel consum
Page 56 and 57: 54 sumption in ,QGXVWU\ in 2009 add
Page 58 and 59: 56 (PLVVLRQV 62� Stationary combu
Page 60 and 61: 58 the reduced emission from electr
Page 62 and 63: 60 NMVOC, Gg 25 20 15 10 5 0 1990 1
Page 64 and 65: 62 The primary sources of PM emissi
Page 66 and 67: 64 PM, Gg PM 2.5, Gg 30 25 20 15 10
Page 68 and 69: 66 Table 3.11 Decrease in heavy met
Page 70 and 71: 68 3$+ 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 90 and 91: 88 As, Mg Cd, Mg Cr, Mg Cu, Mg Hg,
Page 96 and 97: 94 software for inventories. The me
Page 98 and 99:
96 Both traded and non-traded fuels
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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
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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
Page 118 and 119:
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
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
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184 Coal import, Gg . 16000 14000 1
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186 gasoline sales show an increase
Page 190 and 191:
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
Page 200 and 201:
198 Table 3.59 Estimated emission u
Page 202 and 203:
200 Extraction of oil and gas: fugi
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202 OleQGU\ QVNL � ' EVNL % 6NR V
Page 206 and 207:
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
Page 218 and 219:
Page 220 and 221:
218 2WKHU SURGXFWLRQ FRQVXPSWLRQ VW
Page 222 and 223:
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
Page 244 and 245:
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
Page 250 and 251:
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
Page 258 and 259:
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
Page 272 and 273:
270 Even though the total number of
Page 274 and 275:
272 statistic data show an increase
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274 an emission factor of 28 µg pr
Page 278 and 279:
Page 280 and 281:
278 Table 7.9b Total national emiss
Page 282 and 283:
280 Table 7.10a Total national emis
Page 284 and 285:
282 Table 7.11 Estimated uncertaint
Page 286 and 287:
284 Table 7.13 Overview of yearly s
Page 288 and 289:
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
Page 294 and 295:
292 Amount composted, Gg 1200 1000
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294 • 50 kg waste pr year will in
Page 298 and 299:
296 Affaldsstatistik 2007 og 2008 (
Page 300 and 301:
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
Page 306 and 307:
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
Page 312 and 313:
310 Table 7.26 Emission factors veh
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Table 7.27a National emissions from
Page 316 and 317:
314 Table 7.28b National emissions
Page 318 and 319:
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
Page 324 and 325:
322 Data Processing level 1 For the
Page 326 and 327:
324 2WKHU DQG QDWXUDO HPLVVLRQV Den
Page 328 and 329:
326 similar methodology was used fo
Page 330 and 331:
328 the localisation of the Danish
Page 332 and 333:
330 • The national energy statist
Page 334 and 335:
332 the Energy Statistics for 2009
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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 360 and 361:
Page 362 and 363:
Page 364 and 365:
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
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Page 374 and 375:
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��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 386 and 387:
Table 2A-4.10 Dioxin and HCB emissi
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
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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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�� 20205 0
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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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444 $QQH[ % (8 GLUHFWLYH HPLVVLRQ O
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$QQH[ % 5HGXFWLRQ IDFWRUV Sector Su
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$QQH[ % %DVLV IXHO FRQVXPSWLRQ DQG
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Basis factors for 2-stroke gasoline
Page 482 and 483:
CH4 shares of VOC for diesel, gasol
Page 484 and 485:
Annual working hours, load factors
Page 486 and 487:
Operational data for the most impor
Page 488 and 489:
��Ã Size
Page 490 and 491:
��Ã Size
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��Ã Size
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��Ã Size
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��Ã FuelC
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��Ã Equip
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��Ã Equip
Page 502 and 503:
Stock data for household and garden
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��Ã SNAP
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Stock data for small boats and plea
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$QQH[ % 7UDIILF GDWD DQG GLIIHUHQW
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Ferry data: Sailing time (single tr
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��Ã Ferry
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��Ã High
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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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Emissions pol_name IPCC ID Unit 198
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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
Page 584 and 585:
Uncertainty estimation, Lead. 582 G
Page 586 and 587:
Uncertainty estimation, Flouranthen
Page 588 and 589:
Uncertainty estimation, Benzo(g,h,i
Page 590 and 591:
588 Table 2C.1a Nitrogen excretion
Page 592 and 593:
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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