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

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The CO 2 from incineration of the plastic part of municipal waste is included in the Danish inventory. In addition to the detailed emission calculation in the national approach, CO 2 emission from fuel combustion is aggregated using the reference approach. In 2003 the CO 2 emission inventory based on the reference approach and the national approach, respectively, differs 0,04%. Please refer to Chapter 3 and Annex 3A for further information about emission inventories for stationary combustion plants. The specific methodologies regarding Fugitive Emissions from Fuels Fugitive emissions from solid fuels (CRF Table 1.B.1.c) Storage and handling of coal: Coal mining is not occurring in Denmark, but power plants use a considerable amount of coal. CH 4 emission from storage and handling of coal is included in the Danish inventory. The CH 4 emission inventory is based on Tier 1 in the ‘IPCC Guidelines for National Greenhouse Gas Inventories: Reference Manual’. The CH 4 emission occurring in Denmark is assumed to be half the post-mining emission. Fugitive emissions from oil (CRF Table 1.B.2. a) Off-shore activities: Emissions from offshore activities have been updated using the methodology described in the Emission Inventory Guidebook 3 rd edition. The sources include emissions from extraction of oil and gas, on-shore oil tanks, on-shore and offshore loading of ships. The emission factors are based on the figures given in the Guidebook except for the on-shore oil tanks where national values are used. Oil Refineries – Petroleum products processing: The VOC emissions from petroleum refinery processes cover non-combustion emissions from feed stock handling/storage, petroleum products processing, product storage/handling and flaring. SO 2 is also emitted from the non-combustion processes and includes emissions from products processing and sulphur recovery plants. The emission calculations are based on information from the Danish refineries and the energy statistic. Please refer to Chapter 3 for further information about fugitive emissions from fuels. Fugitive emissions from natural gas (CRF Table 1.B.2.b) Natural gas transmission and distribution: Inventories of CH 4 emission from gas transmission and distribution is based on annual environmental reports from the Danish gas transmission company, Gastra (former DONG) and on a Danish inventory for the years 1999-2003 reported by the Danish gas sector (transmission and distribution companies). 1.4.2 Transport The emissions from transport referring to SNAP category 07 (road transport) and the subcategories in 08 (other mobile sources) are made up in the IPCC categories; 1A3b (road transport), 26
1A2f (Industry-other), 1A3a (Civil aviation), 1A3c (Railways), 1A3d (Navigation), 1A4c (Agriculture/forestry/fisheries), 1A4b (Residential) and 1A5 (Other). The European COPERT III emission model is used to calculate the Danish annual emissions for road traffic. In COPERT III the emissions are calculated for operationally hot engines, during cold start and fuel evaporation. The model also includes the emission effect of catalyst wear. Input data for vehicle stock and mileage is obtained from the Danish Road Directorate, and is grouped according to average fuel consumption and emission behaviour. For each group the emissions are estimated by combining vehicle and annual mileage numbers with hot emission factors, cold:hot ratios and evaporation factors (Tier 2 approach). For air traffic the 2001, 2002 and 2003 estimates are made on a city-pair level, using flight data from the Danish Civil Aviation Agency (CAA-DK) and LTO and distance related emission factors from the CORINAIR guidelines (Tier 2 approach). For previous years the background data consists of LTO/aircraft type statistics from Copenhagen Airport and total LTO numbers from CAA-DK. With appropriate assumptions consistent time-series of emissions are produced back to 1990, which also includes the findings from a Danish city-pair emission inventory in 1998. Off road working machines and equipment are grouped in the following sectors: Inland waterways, agriculture, forestry, industry and household and gardening. In general the emissions are calculated by combining information on the number of different machine types and their respective load factors, engine sizes, annual working hours and emission factors (Tier 2 approach). The most thorough recalculations have changed the estimates for aviation, navigation and fisheries. As regards aviation a revised domestic/international jet fuel use split has been made, due to the inclusion of several turboprop representative aircraft types. The recalculations influence the CH 4 emission factors, and the emission estimates of CO 2 , CH 4 and N 2 O for the sector 1A3a. For navigation and fisheries the 2002 diesel fuel use has been updated, thus influencing the CO 2 , CH 4 and N 2 O estimates for the sectors 1A3d and 1A4c. For transport the CO 2 emissions are determined with the lowest uncertainty, while the levels of the CH 4 and N 2 O estimates are significantly more uncertain. The overall uncertainties in 2003 for CO 2 , CH 4 and N 2 O are around 5, 35 and 56 %, while the 1990-2003 emission trend uncertainties for the same three components are 5, 6 and 193 %, respectively. Please refer to Chapter 3 and Annex 3B for further information about emission from transport. 1.4.3 Industrial Processes Energy consumption associated with industrial processes and the emissions thereof are included in the Energy sector of the inventory. This is due to the overall use of energy balance statistics for the inventory. Mineral Products: Cement. CRF Table 2(I).A-G Sectoral Background Data for Industrial processes. A.1. There is only one producer of cement in Denmark, Aalborg Portland ltd. The activity data for the production of cement and the emission factor are obtained from the company as accounted for and published in the "Green National Accounts" (In Danish: “Grønne regnskaber”) worked out by the companies according to obligations in Danish law. These accounts are subject to audit. The emission factor is produced as a result of weighting of emission factors resulting from the production of low alkali cement, rapid cement, basis cement, and white cement. Mineral Products: Lime and bricks. CRF Table 2(I).A-G Sectoral Background Data for Industrial processes. A.2. 27
Page 1 and 2: National Environmental Research Ins
Page 3 and 4: National Environmental Research Ins
Page 5 and 6: Contents Executive summary 9 ES.1.
Page 7 and 8: 4.3 Chemical industry (2B) 122 4.3.
Page 9 and 10: 8.3.6 Recalculations 209 8.3.7 Plan
Page 11 and 12: Executive summary ES.1. Background
Page 13 and 14: electricity. Also lower outdoor tem
Page 15 and 16: • The GHG emission inventories fo
Page 17 and 18: effekten af de forskellige drivhusg
Page 19 and 20: Som beskrevet i rapportens kapitel
Page 21 and 22: 1 Introduction 1.1 Background infor
Page 23 and 24: The role of the European Union The
Page 25 and 26: Table 1.1 List of current data stru
Page 27: 1.4 Brief general description of me
Page 31 and 32: is calculated. It is found that tha
Page 33 and 34: (see the reference list at Chapter
Page 35 and 36: 1 Quality control (QC) Quality plan
Page 37 and 38: The different CCP’s are not indep
Page 39 and 40: When new data are introduced they c
Page 41 and 42: Inventory report for year 3 Invento
Page 43 and 44: The uncertainty on N 2 O from stati
Page 45 and 46: 1.8 General assessment of the compl
Page 47 and 48: 2 Trends in Greenhouse Gas Emission
Page 49 and 50: to change in traditional stable sys
Page 51 and 52: from national fishing and off-road
Page 53 and 54: 3 Energy (CRF sector 1) 3.1 Overvie
Page 55 and 56: Table 3.3 CH 4 emission from the en
Page 57 and 58: Fuel consumption time-series for st
Page 59 and 60: Degree days Fuel consumption adjust
Page 61 and 62: Table 3.7 CO 2 emission from subsec
Page 63 and 64: The CH 4 emission from stationary c
Page 65 and 66: 3.2.1.3.4 SO , NO , NMVOC and CO 2
Page 67 and 68: The fuel consumption of area source
Page 69 and 70: Table 3.12 CH 4 emission factors 19
Page 71 and 72: − Gruijthuijsen & Jensen 2000 −
Page 73 and 74: ues from Pulles & Aardenne 2001. Th
Page 75 and 76: • Disaggregation of fuel consumpt
Page 77 and 78: 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
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Table 10.1 Recalculation performed
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Table 10.2. Recalculation performed
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For the Industrial Sector uncertain
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Annex 1 Key source analyses Descrip
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7KH UHVXOW RI WKH NH\ VRXUFH DQDO\V
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7DEOHV $ ± $ RI WKH *RRG 3UDFWLFH
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Table 3. Key source analysis 1990-2
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Annex 3 Other detailed methodologic
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1 Introduction The Danish atmospher
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Stationary combustion plants are in
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Emissions from non-energy use of fu
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Coke oven coke The emission factor
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Kerosene The emission factor 72 kg/
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Illerup 2003. The estimated emissio
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The emission factor for CHP plants
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− Fuel consumption for transport.
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tricity trade, fuel consumption and
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Figure 3A-6 depicts the time-series
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1A4a Commercial / Institutional 2%
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CO 2 [Tg] 60 50 40 30 20 10 0 1990
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Other stationary combustion plants
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1A4a Commercial / Institutional 2%
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only accounted for a small portion
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Electricity and heat production is
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The use of wood in residential boil
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straw consumption in residential pl
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• The IPCC reference approach val
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Table 3A-21 Key sources, stationary
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emission are N 2 O emission (all pl
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enewable fuels has increased. The D
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Jørgensen, L. & Johansen, L. P. 20
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Appendix 3A-1 The Danish emission i
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030203 Blast furnace cowpers 1A2a 0
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Table 3A-28 Detailed fuel consumpti
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1A2f 118 SEWAGE SLUDGE 030311 40162
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Appendix 3A-4 Emission factors Tabl
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Table 3A-33 N 2 O emission factors
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7. Bjerrum M., 2002. Danish Technol
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NOX NATURAL GAS 010105 1A1a 276 241
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019 Enstedvaerket 04 010101 204 GAS
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Table 3A-39 Large point sources, pl
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Appendix 3A-6 Uncertainty estimates
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Table 3A-42 Uncertainty estimation,
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Table 3A-47 Uncertainty estimation,
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Table 3A-49 Fuel category correspon
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Appendix 3A-9 Reference approach Ã
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Table 3A-51 Fuel category correspon
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20201 - - - - - - - - - - - - - - -
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Passenger Cars Diesel >2.0 l Euro I
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Passenger Cars Gasoline 2.0 l Euro
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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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