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

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

Annual Danish informative inventory report to UNECE. Emission

ANNUAL DANISH INfORMATIVE INVENTORY REpORT TO UNECE Emission inventories from the base year of the protocols to year 2009 NERI Technical Report no. 821 2011 AU NATIONAL ENVIRONMENTAL RESEARCH INSTITUTE AARHUS UNIVERSITY

  • Page 2 and 3: [Blank page]
  • Page 4 and 5: 'DWD VKHHW Series title and no.: NE
  • Page 6 and 7: 5.3 Other use (N2O) 225 5.4 Methodo
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  • Page 11 and 12: 2WKHU DLU SROOXWDQWV 1092& The emis
  • Page 13 and 14: 'LR[LQV DQG IXUDQV The major part o
  • Page 15 and 16: 5HVLGHQWLDO A split in activity cod
  • Page 17 and 18: 6DPPHQIDWQLQJ , %DJJUXQG IRU HPLVVL
  • Page 19 and 20: $QGHQ OXIWIRUXUHQLQJ 1092& Emission
  • Page 21 and 22: en udgør 36 % af den nationale tot
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  • Page 25 and 26: ,QWURGXFWLRQ %DFNJURXQG LQIRUPDWLRQ
  • Page 27 and 28: mate and aggregate the background d
  • Page 29 and 30: External data �������
  • Page 31 and 32: For air traffic, from 2001 onwards
  • Page 33 and 34: average emission factors and standa
  • Page 35 and 36: tional Environmental Research Insti
  • Page 37 and 38: $JULFXOWXUH Categories reported as
  • Page 39 and 40: 7UHQGV LQ (PLVVLRQV $FLGLI\LQJ JDVH
  • Page 41 and 42: �Ã���� Non-industrial Co
  • Page 43 and 44: �����Ã���� Non-i
  • Page 45 and 46: ���� �����Ã�
  • Page 47 and 48: ����Ã���� Field bu
  • Page 49 and 50: (QHUJ\ 1)5 VHFWRU 2YHUYLHZ RI WKH V
  • Page 51 and 52: Summary tables for the emissions fr
  • Page 53 and 54:

    Fuel consumption,PJ 200 180 160 140

  • Page 55 and 56:

    Degree days Fuel consumption Degree

  • Page 57 and 58:

    Fuel consumption, PJ Fuel consumpti

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    Public power, stationary engines 1%

  • Page 61 and 62:

    sumption in residential plants and

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    Straw 10% Wood 89% Other fuels 1% F

  • Page 65 and 66:

    TSP 1A4c Agriculture / Forestry / F

  • Page 67 and 68:

    As Cr Hg Pb Zn 1A4b Residential 10%

  • Page 69 and 70:

    As Cr Hg Pb Zn As, Mg Cr, Mg Hg, Mg

  • Page 71 and 72:

    Benzo(a)pyrene Benzo(b)fluoranthene

  • Page 73 and 74:

    Table 3.13 Dioxin emission from sta

  • Page 75 and 76:

    Table 3.15 NH3 emission from statio

  • Page 77 and 78:

    TSP, Gg_____ PM10, Gg_____ 1.6 1.4

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    Benzo(a)pyrene, Mg Benzo(b)fluorant

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    SO2, Gg NOx, Gg Fuel consumption, P

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    The SO2 emission has decreased 83 %

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    SO2, Gg_____ NOx, Gg_____ 20 18 16

  • Page 87 and 88:

    Benzo(a)pyrene, Mg____ Benzo(b)fluo

  • Page 89 and 90:

    SO2, Gg_____ NOx, Gg_____ 14 12 10

  • Page 91 and 92:

    Benzo(a)pyrene, Mg Benzo(b)fluorant

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    For residential plants, the total f

  • Page 95 and 96:

    SO2, Gg____ NOx, Gg_____ Fuel consu

  • Page 97 and 98:

    The emissions from a point source a

  • Page 99 and 100:

    In earlier years, the composition o

  • Page 101 and 102:

    +HDY\ PHWDOV Emission factors for 2

  • Page 103 and 104:

    8QFHUWDLQW\ According to the Good P

  • Page 105 and 106:

    • Emission factors for metals hav

  • Page 107 and 108:

    Henriksen, T.C., Illerup, J.B. & Ni

  • Page 109 and 110:

    Sternhufvud, C., Karvosenoja, N., I

  • Page 111 and 112:

    )XHO FRQVXPSWLRQ Table 3.21 Fuel us

  • Page 113 and 114:

    3- 90 80 70 60 50 40 30 20 10 0 199

  • Page 115 and 116:

    � � 3 2,5 2 1,5 1 0,5 0 1985 19

  • Page 117 and 118:

    The considerable variations from on

  • Page 119 and 120:

    engine running mode, thus leading t

  • Page 121 and 122:

    Passenger cars 58% Passenger cars 5

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    7RQQHV 16000 14000 12000 10000 8000

  • Page 125 and 126:

    7RQQHV 4,5 4,0 3,5 3,0 2,5 2,0 1,5

  • Page 127 and 128:

    emissions in 2009, followed by truc

  • Page 129 and 130:

    &DGPLXP &G 2-wheelers 0% Passenger

  • Page 131 and 132:

    7RQQHV 250000 200000 150000 100000

  • Page 133 and 134:

    Passenger cars 36% Passenger cars 5

  • Page 135 and 136:

    6000 5000 4000 � � � �3000

  • Page 137 and 138:

    Table 3.27 Model vehicle classes an

  • Page 139 and 140:

    crisis and the reflagging of Danish

  • Page 141 and 142:

    tion, such as cumulated mileage dri

  • Page 143 and 144:

    )XHO FRQVXPSWLRQ DQG HPLVVLRQ IDFWR

  • Page 145 and 146:

    In terms of cold start data for NOX

  • Page 147 and 148:

    The standard approach to achieve a

  • Page 149 and 150:

    ered by Winther and Slentø (2010).

  • Page 151 and 152:

    No. No. 80000 70000 60000 50000 400

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    � � � ������ �

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    ���È ��È ��È �

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    ����� ����� �

  • Page 159 and 160:

    1R RI URXQG WULSV 1R RI URXQG WULSV

  • Page 161 and 162:

    NOx) and TSP, depending on engine s

  • Page 163 and 164:

    dards relate to the total emissions

  • Page 165 and 166:

    Further, the Marine Environment Pro

  • Page 167 and 168:

    For national sea transport and fish

  • Page 169 and 170:

    Where FC = fuel consumption (kg), m

  • Page 171 and 172:

    ( ; ) = ( ( ; ) ⋅7) ( ; ) ⋅ ( 1

  • Page 173 and 174:

    accuracy in the DEA statistics. No

  • Page 175 and 176:

    Table 3.39 Uncertainties for activi

  • Page 177 and 178:

    sion components are: Particulates (

  • Page 179 and 180:

    Marpol 73/78 Annex VI: Regulations

  • Page 181 and 182:

    these emissions should be included

  • Page 183 and 184:

    ���������à 1B2c

  • Page 185 and 186:

    6HUYLFH VWDWLRQV NMVOC emissions fr

  • Page 187 and 188:

    Number of platforms 60 50 40 30 20

  • Page 189 and 190:

    3 Rate, Mm n 8000 7000 6000 5000 40

  • Page 191 and 192:

    Offshore flaring, 10 6 Nm 3 450 400

  • Page 193 and 194:

    for stationary combustion Tier 1 ar

  • Page 195 and 196:

    tively. The time-series for onshore

  • Page 197 and 198:

    CO2 emission factor. The latter res

  • Page 199 and 200:

    Table 3.58 Uncertainty levels for a

  • Page 201 and 202:

    • Annual environmental reports ar

  • Page 203 and 204:

    DONG Energy, 2010a: Annual environm

  • Page 205 and 206:

    ,QGXVWULDO SURFHVVHV 1)5 VHFWRU 2YH

  • Page 207 and 208:

    • Production of container glass/g

  • Page 209 and 210:

    Table 4.3 Time-series for pollutant

  • Page 211 and 212:

    &KHPLFDO LQGXVWU\ 1)5 % 6RXUFH FDWH

  • Page 213 and 214:

    The emission of NMVOC from producti

  • Page 215 and 216:

    Table 4.7 Time-series for pollutant

  • Page 217 and 218:

    Table 4.1 Emission of NMVOC from pr

  • Page 219 and 220:

    Table 4.5 Production statistics for

  • Page 221 and 222:

    6RXUFH VSHFLILF SODQQHG LPSURYHPHQW

  • Page 223 and 224:

    6ROYHQWV DQG 2WKHU 3URGXFW 8VH 1)5

  • Page 225 and 226:

    Table 5.2 Used amounts of chemicals

  • Page 227 and 228:

    Table 5.4 Chemicals with highest em

  • Page 229 and 230:

    The definitions of solvents and VOC

  • Page 231 and 232:

    ing product. If the chemical is use

  • Page 233 and 234:

    on expert judgement but it is possi

  • Page 235 and 236:

    $FWLYLW\ GDWD The cross-border shop

  • Page 237 and 238:

    (PLVVLRQV Table 5.9 shows the natio

  • Page 239 and 240:

    gebruik, RIVM Report No. 772414005.

  • Page 241 and 242:

    ment, Food and Rural Affairs, AEAT/

  • Page 243 and 244:

    Table 6.1 Total NH3 emissions from

  • Page 245 and 246:

    14 12 10 à � 8 �� � �

  • Page 247 and 248:

    ,'$ ,QWHJUDWHG 'DWDEDVH PRGHO IRU $

  • Page 249 and 250:

    the average number of animals, pres

  • Page 251 and 252:

    For most of the animal categories,

  • Page 253 and 254:

    100% 80% 60% 40% 20% 0% 1985 1986 1

  • Page 255 and 256:

    opment is that the use of fertilise

  • Page 257 and 258:

    tion (table 6.12). The decrease is

  • Page 259 and 260:

    Table 6.15 Emission factor for part

  • Page 261 and 262:

    from Statistics Denmark. An EMEP EE

  • Page 263 and 264:

    the NMVOC emission from field burni

  • Page 265 and 266:

    Table 6.19 Changes in NH3 emission

  • Page 267 and 268:

    Poulsen, H.D., 2010: Normative figu

  • Page 269 and 270:

    :DVWH ZDWHU KDQGOLQJ According to t

  • Page 271 and 272:

    the AVV waste incineration site. Th

  • Page 273 and 274:

    The following Table 7.4 lists the f

  • Page 275 and 276:

    Table 7.6 Emission factors for huma

  • Page 277 and 278:

    supply the PAH emission factor. The

  • Page 279 and 280:

    Table 7.9a Total national emissions

  • Page 281 and 282:

    Table 7.9c Total national emissions

  • Page 283 and 284:

    Table 7.10c Total national emission

  • Page 285 and 286:

    Table 7.12 National tier 1 uncertai

  • Page 287 and 288:

    Some comparison of Danish data valu

  • Page 289 and 290:

    Data Processing level 1 5.Correctne

  • Page 291 and 292:

    Eisaku TODA, 2006: POPs and heavy m

  • Page 293 and 294:

    • garden and park waste (GPW),

  • Page 295 and 296:

    Table 7.14 Number of composting fac

  • Page 297 and 298:

    (2009). No other sources were found

  • Page 299 and 300:

    Statistik for behandling af organis

  • Page 301 and 302:

    Table 7.18 Occurrence of building a

  • Page 303 and 304:

    It is furthermore assumed that a me

  • Page 305 and 306:

    ���������à 1998

  • Page 307 and 308:

    ���������à 2000

  • Page 309 and 310:

    Table 7.24 Average floor space in b

  • Page 311 and 312:

    NAEI (2007) is the only source that

  • Page 313 and 314:

    (2004). The two latter provides dat

  • Page 315 and 316:

    Table 7.27c National emissions from

  • Page 317 and 318:

    Räddnindsverket, Karlstad, FoU rap

  • Page 319 and 320:

    Table 7.30 Uncertainties Accidental

  • Page 321 and 322:

    urement (PMs). This is to be seen i

  • Page 323 and 324:

    Data Processing level 1 3.Completen

  • Page 325 and 326:

    Data Storage level 2 5.Correctness

  • Page 327 and 328:

    5HSRUWLQJ VSDWLDOO\ GLVWULEXWHG HPL

  • Page 329 and 330:

    Figure 8.1 Geographical distributio

  • Page 331 and 332:

    5HFDOFXODWLRQV DQG ,PSURYHPHQWV In

  • Page 333 and 334:

    of max %) for SO2, NOx and Particul

  • Page 335 and 336:

    changes cause an increase in the NH

  • Page 337 and 338:

    $QQH[ $ 6WDWLRQDU\ FRPEXVWLRQ Annex

  • Page 339 and 340:

    SNAP_id SNAP_name IPCC source �

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    ���������à �

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    ���������à �

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    ���������à �

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    ���������à �

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    ���������à �

  • Page 351 and 352:

    $QQH[ $ /RZHU &DORULILF 9DOXH /&9 R

  • Page 353 and 354:

    Table 2A-3.2 Fuel category correspo

  • Page 355 and 356:

    à Ãà Ãà Ãà Ãà �� �Ã

  • Page 357 and 358:

    Table 2A-4.2a SO2, NOx, NMVOC and C

  • Page 359 and 360:

    pollutant fuel_type fuel nfr nfr_na

  • Page 361 and 362:

    pollutant fuel_type fuel nfr nfr_na

  • Page 363 and 364:

    pollutant fuel_type fuel nfr nfr_na

  • Page 365 and 366:

    Table 2A-4.3 PM emission factors an

  • Page 367 and 368:

    1. Danish legislation, Miljøstyrel

  • Page 369 and 370:

    Table 2A-4.4b PM emission factors,

  • Page 371 and 372:

    Table 2A-4.7a HM emission factors t

  • Page 373 and 374:

    ��������à ��

  • Page 375 and 376:

    Table 2A-4.7b HM emission factors t

  • Page 377 and 378:

    ��������à ��

  • Page 379 and 380:

    Table 2A-4.8 PAH emission factors 2

  • Page 381 and 382:

    Ã ÃÃ ÃÃ ÃÃ ÃÃ Benzo(a)pyre

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    ���������à �

  • Page 385 and 386:

    ���������à �

  • Page 387 and 388:

    ���������à �

  • Page 389 and 390:

    Table 2A-4.11b Dioxin and HCB emiss

  • Page 391 and 392:

    $QQH[ $ ,PSOLHG HPLVVLRQ IDFWRUV IR

  • Page 393 and 394:

    06 COAL 637 WOOD 51 RESIDUAL OIL 11

  • Page 395 and 396:

    Table 2A-6.2 Large point sources, p

  • Page 397 and 398:

    $QQH[ $ 8QFHUWDLQW\ HVWLPDWHV Table

  • Page 399 and 400:

    Mg PM10 Mg PM10 % % % % % % % % % 0

  • Page 401 and 402:

    ���������à SNAP

  • Page 403 and 404:

    ���������à SNAP

  • Page 405 and 406:

    $QQH[ $ (PLVVLRQ LQYHQWRU\ EDVHG RQ

  • Page 407 and 408:

    $QQH[ $ 'HVFULSWLRQ RI WKH 'DQLVK H

  • Page 409 and 410:

    The mapping between the energy stat

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    �������à ���

  • Page 413 and 414:

    �������à ���

  • Page 415 and 416:

    NO x, Gg NMVOC, Gg CO, Gg 180 160 1

  • Page 417 and 418:

    maining datasets, it is assumed tha

  • Page 419 and 420:

    Data Storage level 1 See DS 1.3.1 D

  • Page 421 and 422:

    Data Processing level 1 5.Correctne

  • Page 423 and 424:

    $QQH[ % 7UDQVSRUW /LVW RI FRQWHQW A

  • Page 425 and 426:

    ���������à Secto

  • Page 427 and 428:

    ���������à Secto

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    ���������à Secto

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    ���������à Secto

  • Page 433 and 434:

    ���������à Secto

  • Page 435 and 436:

    $QQH[ % 0LOHDJH GDWD IRU URDG WUDQV

  • Page 437 and 438:

    ���������à Secto

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    ���������à Secto

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    ���������à Secto

  • Page 443 and 444:

    ���������à Secto

  • Page 445 and 446:

    ���������à Secto

  • Page 447 and 448:

    Light duty vehicles III (>1760 kg)

  • Page 449 and 450:

    ���������à Secto

  • Page 451 and 452:

    ���������à Secto

  • Page 453 and 454:

    Sector Subsector Tech 2 FYear LYear

  • Page 455 and 456:

    ���������à Secto

  • Page 457 and 458:

    ���������à Secto

  • Page 459 and 460:

    ���������à Secto

  • Page 461 and 462:

    ���������à Secto

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    $QQH[ % )XHO FRQVXPSWLRQ IDFWRUV 0-

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    ���������à Secto

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    ���������à Secto

  • Page 469 and 470:

    ���������à Secto

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    ���������à Secto

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    ���������à Secto

  • Page 475 and 476:

    ���������à Secto

  • Page 477 and 478:

    $QQH[ % &23(57 ,9 '($ VWDWLVWLFV IX

  • Page 479 and 480:

    Basis factors for 4-stroke gasoline

  • Page 481 and 482:

    Fuel consumption and emission facto

  • Page 483 and 484:

    Deterioration factors for gasoline

  • Page 485 and 486:

    Operational data for construction m

  • Page 487 and 488:

    $QQH[ % 6WRFN GDWD IRU QRQ URDG ZRU

  • Page 489 and 490:

    ���������à Size

  • Page 491 and 492:

    Stock data for gasoline tractors 19

  • Page 493 and 494:

    ���������à Size

  • Page 495 and 496:

    Stock data for fork lifts 1985-2009

  • Page 497 and 498:

    Stock data for construction machine

  • Page 499 and 500:

    ���������à Equip

  • Page 501 and 502:

    Stock data for machine pools 1985-2

  • Page 503 and 504:

    ���������à SNAP

  • Page 505 and 506:

    ���������à SNAP

  • Page 507 and 508:

    Engine sizes (kW) for recreational

  • Page 509 and 510:

    Ferry data: Service, name, engine y

  • Page 511 and 512:

    ���������à Ferry

  • Page 513 and 514:

    ���������à Ferry

  • Page 515 and 516:

    ���������à Ferry

  • Page 517 and 518:

    ���������à Ferry

  • Page 519 and 520:

    $QQH[ % )XHO FRQVXPSWLRQ DQG HPLVVL

  • Page 521 and 522:

    CO and VOC emission factors (g/kg f

  • Page 523 and 524:

    NMVOC and CH4 emission factors (g/k

  • Page 525 and 526:

    S-%, SO2 and PM emission factors (g

  • Page 527 and 528:

    $QQH[ % )XHO VDOHV ILJXUHV IURP '($

  • Page 529 and 530:

    ���������à 1985

  • Page 531 and 532:

    ���������à 2000

  • Page 533 and 534:

    $QQH[ % (PLVVLRQ IDFWRUV DQG WRWDO

  • Page 535 and 536:

    2009 emission factors for CO2, CH4,

  • Page 537 and 538:

    1990 emissions for CO2, CH4, N2O, S

  • Page 539 and 540:

    2009 emissions for CO2, CH4, N2O, S

  • Page 541 and 542:

    ���������à Year

  • Page 543 and 544:

    Exhaust heavy metal emission factor

  • Page 545 and 546:

    ��������� SNAP ID

  • Page 547 and 548:

    Heavy metal emissions for 1990 and

  • Page 549 and 550:

    ��������� SNAP ID

  • Page 551 and 552:

    PAH emission factors for 1990 and 2

  • Page 553 and 554:

    ���������à SNAP

  • Page 555 and 556:

    PAH emissions for 1990 and 2008 in

  • Page 557 and 558:

    ���������à SNAP

  • Page 559 and 560:

    $QQH[ % )XHO FRQVXPSWLRQ DQG HPLVVL

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    ���������à pol_n

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    ���������à pol_n

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    ���������à pol_n

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    ���������à pol_n

  • Page 569 and 570:

    pol_name IPCC ID Unit 2000 2001 200

  • Page 571 and 572:

    ���������à pol_n

  • Page 573 and 574:

    ���������à pol_n

  • Page 575 and 576:

    ���������à pol_n

  • Page 577 and 578:

    ���������à pol_n

  • Page 579 and 580:

    Uncertainty estimation, NMVOC. Gas

  • Page 581 and 582:

    Uncertainty estimation, Arsenic. Ga

  • Page 583 and 584:

    Uncertainty estimation, Mercury. Ga

  • Page 585 and 586:

    Uncertainty estimation, Zinc. Gas B

  • Page 587 and 588:

    Uncertainty estimation, Benzo(k) fl

  • Page 589 and 590:

    $QQH[ & $JULFXOWXUH $QQH[ & %DFNJUR

  • Page 591 and 592:

    +RXVLQJ V\VWHP A systematic stateme

  • Page 593 and 594:

    Table 2C.4 NH3 emission factors for

  • Page 595 and 596:

    $QQH[ & %DFNJURXQG LQIRUPDWLRQ 1+

  • Page 597 and 598:

    5HIHUHQFHV Andersen, J.M., Sommer,

  • Page 599 and 600:

    • NOx emissions from agriculture

  • Page 601 and 602:

    $QQH[ ± ,QIRUPDWLRQ RQ WKH HQHUJ\

  • Page 603 and 604:

    NERI Technical Reports NERI’s web

  • Page 605:

    ANNuAl DANISh INformAtIve INveNtory

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