Denmark's National Inventory Report 2005 - Submitted under the ...

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CO [Gg] 266 200 180 160 140 120 100 80 60 40 20 0 1985 1987 1989 1991 1993 1995 Total 1997 1999 2001 2003 1A1a Public electricity and heat production 1A1b Petroleum refining 1A1c Other energy industries 1A2 Industry 1A4a Commercial / Institutional 1A4b Residential 1A4c Agriculture / Forestry / Fisheries Total Figure 3A-30 CO emission time-series for stationary combustion. 6 QA/QC and validation The elaboration of a formal QA/QC plan started in 2004. A first draft QA/QC plan (in Danish) for stationary combustion has been developed and this draft version is now applied as one of two sector specific QA/QC cases. Adaptation to the general QA/QC plan will be performed in 2005. The draft QA/QC plan for stationary combustion includes: − Documentation concerning external data sources, including contacts, contracts with data supplier, archiving and suggested QC. − Compilation of the data for the emission database, including current QC and suggested QC − Data input to the emission database, including information on whether the data transfer is manual or not, current QC during and after data input, suggested QC. − Emission inventory, including current and suggested QC of the emission inventory (consistency and completeness) − Data transfer from the emission database to the reporting formats, including current and planned QC and archiving. − A suggestion for the future archiving structure − A time schedule for the QC plan − QA − Verification The QC is not implemented yet. This year the QC procedures applied are the same as those applied last year. The QC includes: • Checking of time-series in the IPCC and SNAP source categories. Considerable changes are controlled and explained. • Comparison with the inventory of the previous year. Any major changes are verified. • Total emission, when aggregated to IPCC and LRTAP reporting tables, is compared with totals based on SNAP source categories (control of data transfer). • A manual log table in the emission databases is applied to collect information about recalculations.
• The IPCC reference approach validates the fuel consumption rates and CO 2 emissions of fuel combustion. Fuel consumption rates and CO 2 emissions differ by less than 1,5% (1990-2003). The reference approach is further discussed below. • The emission from each large point source is compared with the emission reported the previous year. • Some automated checks have been prepared for the emission databases: ° Check of units for fuel rate, emission factor and plant specific emissions ° Check of emission factors for large point sources. Emission factors for pollutants that are not plant-specific should be the same as those defined for area sources. ° Additional checks on database consistency • Most emission factor references are now incorporated in the emission database, itself. • Annual environmental reports are kept for subsequent control of plant specific emission data. • QC checks of the country-specific emission factors have not been performed, but most factors are based on work from companies that have implemented some QA/QC work. The two major power plant owners / operators in Denmark: E2 and Elsam both obtained the ISO 14001 certification for an environmental management system. Danish Gas Technology Centre and dk-Teknik 2 both run accredited laboratories for emission measurements. 6.1 Reference approach In addition to the sector-specific CO 2 emission inventories (the national approach), the CO 2 emission is also estimated using the reference approach described in the IPCC Reference Manual (IPCC 1996). The reference approach is based on data for fuel production, import, export and stock change. The CO 2 emission inventory based on the reference approach is reported to the Climate Convention and used for verification of the official data in the national approach. Data for import, export and stock change used in the reference approach originate from the annual “basic data” table prepared by the Danish Energy Authority and published on their home page (DEA 2004b). The fraction of carbon oxidised has been assumed to be 1,00. The carbon emission factors are default factors originating from the IPCC Reference Manual (IPCC 1996). The country-specific emission factors are not used in the reference approach, the approach being for the purposes of verification. The Climate Convention reporting tables include a comparison of the national approach and the reference approach estimates. To make results comparable, the CO 2 emission from incineration of the plastic content of municipal waste is added in the reference approach. Further consumption for non-energy purposes is subtracted in the reference approach, because non-energy use of fuels is not, as yet, included in the Danish national approach. Three fuels are used for non-energy purposes: lube oil, bitumen and white spirit. The total consumption for non-energy purposes is relatively low – 10,8 PJ in 2003. In 2003 the fuel consumption rates in the two approaches differ by 0,28% and the CO 2 emission differs by 0,04%. In the period 1990-2003 fuel consumption differs by less than 1,5%, and the CO 2 emission by less than 1,4%. The differences are below 1% for all years except 1998. According to IPCC Good Practice Guidance (IPCC 2000) the difference should be within 2%. The reference approach for 2003 and the comparison 2 Now FORCE 267
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National Environmental Research Ins
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National Environmental Research Ins
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Contents Executive summary 9 ES.1.
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4.3 Chemical industry (2B) 122 4.3.
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8.3.6 Recalculations 209 8.3.7 Plan
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Executive summary ES.1. Background
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electricity. Also lower outdoor tem
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• The GHG emission inventories fo
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effekten af de forskellige drivhusg
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Som beskrevet i rapportens kapitel
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1 Introduction 1.1 Background infor
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The role of the European Union The
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Table 1.1 List of current data stru
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1.4 Brief general description of me
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1A2f (Industry-other), 1A3a (Civil
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is calculated. It is found that tha
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(see the reference list at Chapter
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1 Quality control (QC) Quality plan
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The different CCP’s are not indep
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When new data are introduced they c
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Inventory report for year 3 Invento
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The uncertainty on N 2 O from stati
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1.8 General assessment of the compl
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2 Trends in Greenhouse Gas Emission
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to change in traditional stable sys
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from national fishing and off-road
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3 Energy (CRF sector 1) 3.1 Overvie
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Table 3.3 CH 4 emission from the en
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Fuel consumption time-series for st
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Degree days Fuel consumption adjust
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Table 3.7 CO 2 emission from subsec
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The CH 4 emission from stationary c
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3.2.1.3.4 SO , NO , NMVOC and CO 2
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The fuel consumption of area source
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Table 3.12 CH 4 emission factors 19
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− Gruijthuijsen & Jensen 2000 −
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ues from Pulles & Aardenne 2001. Th
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• Disaggregation of fuel consumpt
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3.3.1.1 Fuel consumption Table 3.18
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3-@ 90 80 70 60 50 40 30 20 10 0 19
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1,4 1,2 1,0 0,8 0,6 0,4 0,2 0,0 198
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Table 3.19 Emissions of CO 2 , CH 4
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Passenger cars 56% Passenger cars 8
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WRQV@ 120 100 80 60 40 20 0 1985 19
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70000 60000 50000 40000 30000 20000
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The NO X emission trend for Agricul
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Bunkers The most important emission
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Ã Ã Ã Ã Ã Ã
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age the emissions from catalyst car
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Where S C is the soak emission, l t
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3.3.2.2 Methodologies and reference
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Table 3.26 Fuel specific emission f
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Where E = emission, FC = fuel consu
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For non-road machinery and working
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Emission factors The Danish greenho
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A comparison of the national approa
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( , 4 = = ( ; 4 + ( , 4 −2
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In the 1990-1999 inventories fugiti
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Table 3.38 Uncertainty, CRF sector
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4 Industrial processes (CRF Sector
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The time-series for emission of CO
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4.2.5 Recalculations No source spec
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4.4 Metal production (2C) 4.4.1 Sou
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Table 4.8 Consumption of HFCs in fo
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The potential emissions have been c
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cedure consisted of a check of the
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Danish Environmental Protection Age
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Table 5.1 Emission of chemicals in
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5.2.2 Methodological issues The emi
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(ii) Collection of data for quantif
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6 The emission of greenhouse gases
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Table 6.2 List of institutes involv
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NERI receives the data from differe
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approximately 6%, which nearly corr
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6.3.2 Methodological issues 6.3.2.1
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Table 6.11 Nitrogen excretion, annu
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Table 6.14 Emissions factor - N 2 O
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153
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Table 6.20 Emissions from crop resi
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Ã Ã Ã Ã Ã 80
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6.5 NMVOC emission Less than 1% of
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• This years data delivery agreem
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Husted, 1994: Waste Management, Sea
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7 The Specific methodologies regard
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In 1990, the forested area with tre
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inventory will be quite similar to
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Table 7.4 Data on gross uptake of C
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place during the first 30 years fol
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7.2.5 Recalculations Since the subm
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Table 7.8 Agricultural areas in Den
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7.3.2.1 Emission from mineral soils
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Table 7.17 C-emission from organic
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Table 7.19 Area classification of t
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The LULUCF sector contributes to a
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Schöne, D. and Schulte, A. (1999).
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Table A2.3 ÃÃÃÃÃÃÃÃÃÃ
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As a result the sectoral total in C
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Since, the Danish SWDSs are well-ma
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Table 8.8. Amounts of waste and CH
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Combustible” and “Other not Com
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which disaggregation level that can
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tion, technical upgrades of the WWT
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assuming that the treatment is 100%
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intermediate of both processes. Dan
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Table 8.19. Uncertainties for main
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In general country-specific TOW val
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Danish Environmental Protection Age
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9 Other (CRF sector 7) Chapter 9 is
Page 217 and 218: Table 10.1 Recalculation performed
Page 219 and 220: Table 10.2. Recalculation performed
Page 221 and 222: For the Industrial Sector uncertain
Page 223 and 224: Annex 1 Key source analyses Descrip
Page 225 and 226: 7KH UHVXOW RI WKH NH\ VRXUFH DQDO\V
Page 227 and 228: 7DEOHV $ ± $ RI WKH *RRG 3UDFWLFH
Page 229 and 230: Table 3. Key source analysis 1990-2
Page 231 and 232: Annex 3 Other detailed methodologic
Page 233 and 234: 1 Introduction The Danish atmospher
Page 235 and 236: Stationary combustion plants are in
Page 237 and 238: Emissions from non-energy use of fu
Page 239 and 240: Coke oven coke The emission factor
Page 241 and 242: Kerosene The emission factor 72 kg/
Page 243 and 244: Illerup 2003. The estimated emissio
Page 245 and 246: The emission factor for CHP plants
Page 247 and 248: − Fuel consumption for transport.
Page 249 and 250: tricity trade, fuel consumption and
Page 251 and 252: Figure 3A-6 depicts the time-series
Page 253 and 254: 1A4a Commercial / Institutional 2%
Page 255 and 256: CO 2 [Tg] 60 50 40 30 20 10 0 1990
Page 257 and 258: Other stationary combustion plants
Page 259 and 260: 1A4a Commercial / Institutional 2%
Page 261 and 262: only accounted for a small portion
Page 263 and 264: Electricity and heat production is
Page 265 and 266: The use of wood in residential boil
Page 267: straw consumption in residential pl
Page 271 and 272: Table 3A-21 Key sources, stationary
Page 273 and 274: emission are N 2 O emission (all pl
Page 275 and 276: enewable fuels has increased. The D
Page 277 and 278: Jørgensen, L. & Johansen, L. P. 20
Page 279 and 280: Appendix 3A-1 The Danish emission i
Page 281 and 282: 030203 Blast furnace cowpers 1A2a 0
Page 283 and 284: Table 3A-28 Detailed fuel consumpti
Page 285 and 286: 1A2f 118 SEWAGE SLUDGE 030311 40162
Page 287 and 288: Appendix 3A-4 Emission factors Tabl
Page 289 and 290: Table 3A-33 N 2 O emission factors
Page 291 and 292: 7. Bjerrum M., 2002. Danish Technol
Page 293 and 294: NOX NATURAL GAS 010105 1A1a 276 241
Page 295 and 296: 019 Enstedvaerket 04 010101 204 GAS
Page 297 and 298: Table 3A-39 Large point sources, pl
Page 299 and 300: Appendix 3A-6 Uncertainty estimates
Page 301 and 302: Table 3A-42 Uncertainty estimation,
Page 303 and 304: Table 3A-47 Uncertainty estimation,
Page 305 and 306: Table 3A-49 Fuel category correspon
Page 307 and 308: Appendix 3A-9 Reference approach Ã
Page 309 and 310: Table 3A-51 Fuel category correspon
Page 311 and 312: 20201 - - - - - - - - - - - - - - -
Page 313 and 314: Passenger Cars Diesel >2.0 l Euro I
Page 315 and 316: Passenger Cars Gasoline 2.0 l Euro
Page 317 and 318: Buses Urban Buses Conventional 0 19
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Sector Subsector Tech FYear LYear 1
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Sector Subsector Tech FCu FCr FCh C
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Sector Subsector Tech COu COr COh N
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Sector Subsector Tech COuR COrR COh
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Annex 3B-5: Fuel use factors (MJ/km
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2-wheelers 1999 1.195 1.264 1.578 8
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2-wheelers 1991 6.249 4.379 2.011 6
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2002 Heavy Duty Vehicles 37849451 8
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Annex 3B-7: COPERT III:DEA statisti
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0808 Excavators (wheel type) 1000 1
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0808 Forklifts 5-10 tons (diesel) 0
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0809 Trimmers 60000 0.8 0.5 15 10 1
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1990 80502 Air traffic. other airpo
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2003 80403 Fishing Kerosene 731 4.6
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Year Category Mode SO2 NOx NMVOC CH
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Pollutant CRF ID Unit 1985 1986 198
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Pollutant CRF ID Unit 1985 1986 198
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Uncertainty estimation, CH 4 Gas Ba
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Uncertainty estimation, N 2 O IPCC
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Table. Production of Lime/Hydrated
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Suckling cattle 170.2 Swine Average
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7DEOH 'HWDLOHG LQIRUPDWLRQ UHODWHG
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7DEOH &KDQJHV LQ VWDEOH W\SH ± Liv
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Pullet, consumption, floor (100 pcs
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Annex 3E Solid Waste Disposal on La
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B = Biological N = Nitrification (r
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Table 3E.7. Stabilisation of sludge
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in Table 3E.9. Table 3E.9 Gross emi
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5HFRYHUHG &+ Ã HPLVVLRQV >*J@ 14.
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Annex 3F Solvents National Atmosphe
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83 1-ethyl-2,2,6-trimethylcyclohexa
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191 2-methoxy-2-methylpropane 192 2
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299 acetaldehyde 300 acetic acid 30
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407 cyclopentane 408 cyclopenta-phe
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515 methyl naphthalenes 516 methyl
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624 trans-3-hexene 625 trialkyl pho
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Annex 5 Assessment of completeness
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Annex 6.1 Annex 6.1. Additional inf
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Table A6.1.2 ÃÃÃÃ Kingdom DK Ã
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Table A6.1.4 ÃÃÃÃÃÃÃÃÃ Kin
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Annex 6.2 Additional information to
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Annex 7 Table 6.1 and 6.2 of the IP
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Annex 8 Other annexes - (Any other
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PM 2.2: An explicit description in
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Correctness The data at level 3 has
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Level 6 Transparency The background
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Table A9.1 ÃÃÃÃ Denmark ÃÃÃ
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Table A9.3 ÃÃÃÃ Denmark ÃÃÃ
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