Report - DCE - Nationalt Center for Miljø og Energi

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The Other Waste category includes compost production, accidental building- and vehicle fires Composting includes four types of biological waste; garden and park waste, organic waste from households and other sources, sludge and home composting of garden and vegetable food waste. Individual emission factors are found for each waste category. Emissions from building fires are calculated by multiplying the number of building fires with selected emission factors. Six types of buildings are separated with different emission factors; detached houses, undetached houses, apartment buildings, industrial buildings, additional buildings and containers. Activity data for building fires are classified in four categories; full scale, large, medium and small. The emission factors comply for full scale building fires and the activity data is therefore recalculated as a full scale equivalent where it is assumed that a large, medium and small fire leads to 75 %, 30 % and 5 % of a full scale fire respectively. Emissions from vehicle fires are calculated by multiplying the total burnt vehicle mass with selected emission factors. 14 different vehicle types are included in the total mass of burned vehicle. Emission factors are not available for different vehicle types, why it is assumed that all the different vehicle types lead to similar emissions. As with accidental building fires, four different sizes are known in relation to damage; full scale (100 % burnout), large (75 %), medium (30 %) and small (5 %). Please refer to Chapter 7 and Annex 2D for further information on emission inventories for agriculture. ,FZ DBUFHPSJFT The determination of key categories has not been made due to insufficient resources being available at the moment. *OGPSNBUJPO PO UIF 2VBMJUZ $POUSPM BOE 2VBMJUZ "TTVSBODF QMBO JODMVEJOH WFSJGJDBUJPO BOE USFBUNFOU PG DPOGJEFOUJBM JTTVFT XIFSF SFMFWBOU In the Danish National Inventory Report to UNFCCC (Nielsen et al., 2011), the plan for Quality Control (QC) and Quality Assurance (QA) for greenhouse gas emission inventories prepared by the Danish National Environmental Research Institute is outlined. The plan is in accordance with the guidelines provided by the UNFCCC (IPCC, 1997) and the “Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories” (IPCC, 2000). The ISO 9000 standards are also used as important input for the plan. The plan also, to a limited extent, includes the gases reported to the UNECE-LRTAP Convention. Due to a lack of resources it has not been possible to extend the QA/QC system for the greenhouse gas inventory to also cover the air pollutants.
(FOFSBM VODFSUBJOUZ FWBMVBUJPO JODMVEJOH EBUB PO UIF PWFSBMM VODFSUBJOUZ GPS UIF JOWFOUPSZ UPUBMT The uncertainty estimates are based on the simple Tier 1 approach in the EMEP/CorinAir *RRG 3UDFWLFH *XLGDQFH IRU /57$3 (PLVVLRQ ,QYHQWRULHV (Pulles & Aardenne, 2004). The uncertainty estimates are based on emission data for the base year and year 2010, and on uncertainties for activity rates and emission factors for each of the main SNAP sectors. For particulate matter, the year 2000 is considered as the base year, but for all other pollutants 1990 is used as the base year. Uncertainty estimates include uncertainty of the total emission as well as uncertainty of the trend. The estimated uncertainties are shown in Table 1.2. The uncertainty estimates include the sectors: stationary combustion, transport, industry and agriculture. ÃÃÃÃÃÃÃÃ Ã Ã ÃÃ ÆÃ Ã Ã Ã Ã ÆÃ ÆÃÃ Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã ÃÃ Ã Ã Ã Ã Ã Ã Ã Ã ÃÃ Ã Ã Ã ÃÃ Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã Ã ÉÃ Ã Ã Ã ÉÃ Ã Ã Ã ÉÃ Ã Ã Ã ÉÃ Ã Ã Ã Ã ÃÃÃÃÃÃÃ Ã Ã Ã (FOFSBM BTTFTTNFOU PG UIF DPNQMFUFOFTT Annex 3 provides a full and comprehensive explanation on the use of notation keys in the Danish inventory. The Danish emissions inventory due 15 February 2012 includes all sources identified by the EMEP/EEA guidebook except the following.
Page 1 and 2: ANNUAL DANISH INFORMATIVE INVENTORY
Page 3 and 4: AU ANNUAL DANISH INFORMATIVE INVENT
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Page 16 and 17: Wood combustion in residential plan
Page 18 and 19: to an error F28 was previously used
Page 20 and 21: eduction in emission of about 50 %
Page 22 and 23: elative bidrag for SO2, NOx og NH3
Page 24 and 25: holdningsanlæg (78 % i 2010). Emis
Page 26 and 27: tige syn i 2008. Opdaterede oplysni
Page 28 and 29: *OUSPEVDUJPO #BDLHSPVOE JOGPSNBUJPO
Page 30 and 31: QA/QC plan (Chapter 1.5), the data
Page 32 and 33: #SJFG EFTDSJQUJPO PG NFUIPEPMPHJFT
Page 34 and 35: of round trips per ferry, engine si
Page 36 and 37: sion. Simple mass balances for calc
Page 40 and 41: Ã *OEVTUSJBM QSPDFTTFT Categories
Page 42 and 43: Nielsen, O.-K., Mikkelsen, M.H., Ho
Page 44 and 45: 42 Figure 2.1 Emissions of NH3, NOX
Page 46 and 47: 44 Figure 2.4 NH3 emissions. Distri
Page 48 and 49: 46 Figure 2.8 PM2.5 emissions. Dist
Page 50 and 51: 48 Figure 2.11 Pb emissions. Time s
Page 52 and 53: &OFSHZ /'3 TFDUPS 0WFSWJFX PG UIF T
Page 54 and 55: Table 3.2 SO2, NOx, NMVOC, CO and P
Page 56 and 57: Ã ÃÃÃÃ 1A1c Manufacture of sol
Page 58 and 59: Fuel consumption, PJ Fuel consumpti
Page 60 and 61: creased 6 % since 2009. The biomass
Page 62 and 63: &NJTTJPOT 40 Stationary combustion
Page 64 and 65: emission from electricity and heat
Page 66 and 67: NMVOC, Gg 25 20 15 10 5 0 1985 1986
Page 68 and 69: accounting for 94 % of the PM2.5 em
Page 70 and 71: PM, Gg PM 2.5, Gg 30 25 20 15 10 5
Page 72 and 73: ÃÃÃÃÃÃÃÃÃÃ Ã ÃÃÃÆÃ
Page 74 and 75: Ã Ã 1") Stationary combustion pla
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Page 80 and 81: 200 180 Ã 160 140 120 100 80 60
Page 82 and 83: Ã 0.025 0.020 Ã 0.015 Ã 0.010
Page 84 and 85: Ã Ã 25 20 Ã Ã 15 10 Ã
Page 86 and 87: The total fuel consumption in indus
Page 88 and 89:
0.4 Ã 0.3 Ã 0.2 0.1 Ã Ã
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0.035 0.030 0.025 Ã 0.020 Ã 0.0
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Ã 0.30 Ã Ã 0.25 0.20
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Ã 6 Ã Ã 5 4 3 Ã
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Ã 60 Ã Ã 50 40 30 Ã
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14 12 Ã 10 8 6 4 2 0 10
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6 5 4 Ã Ã 3 2 É 1 0 6
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120 Ã 100 80 60 Ã 40
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16 Ã 14 12 10 8 Ã 6
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• Emission data reported from ind
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Due to the scarce data available an
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• Research carried out by TNO (Be
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Ã ÃÃÃÃÃÃÃÃÃÃÃ Ã Ã Ã
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Christiansen, B.H., Evald, A., Baad
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Danish Environmental Protection Age
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Ã 160 140 120 100 80 60 40 20 0
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Ã Ã Gasoline PC 36% Gasoline LDV
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3- 5 4,5 4 3,5 3 2,5 2 1,5 1 0,5 0
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Ã Ã ÃÃÃÃÃÃÃÃÃÃÃÃÃÃ
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7RQQHV 600000 500000 400000 300000
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Ã 7RQQHV 8000 7000 6000 5000 4000
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Ã Ã Ã Ã ment in emission factor
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ÃÉÃ ÃÉÃ Passenger cars 69% 2-
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Ã Ã Ã Ã 7RQQHV 250000 200000 15
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Ã Ã Ã Residential (1A4b) 2% Rail
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Ã 1200 1000 Ã 800 Ã 600 Ã
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Ã 2000 1600 Ã Ã 1200 Ã 800
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Ã ÃÃÃÃÃÃÃÃÃÃÃÃÃÃÃ
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For all vehicle categories/technolo
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For catalyst vehicles the cold extr
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Ã '($ 1(5, IXHO UDWLR 1,30 1,25 1,
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(EMEP/EEA, 2009) for air traffic, o
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Agricultural tractors (diesel) < 80
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Ã ÃÃ No. 12000 10000 8000 6000 4
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Ã ÃÃÃÉÃÃÃ The 1985-2010 sto
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Ã
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Ã 1R RI URXQG WULSV 1R RI URXQG WU
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Ã &NJTTJPO MFHJTMBUJPO For non-roa
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total emissions (in grams) from the
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Ã Further, the Marine Environment
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European measurement programmes; se
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Where FC = fuel consumption (kg), m
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Where EEvap,fueling, = hydrocarbon
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For gasoline, the DEA residential s
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The time series of emissions for mo
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ICAO Annex 16: "International stand
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Wismann, T. 2001: Energiforbrug og
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Ã Ã Ã Ã Ã Ã Ã Ã Ã ÉÃ Ã
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where EMFreloading is the emission
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Ã Number of platforms 60 50 40 30
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Flaring in gas treatment and storag
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• Check of units for fuel rate, e
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Fenhann, J. & Kilde, N.A. 1994: Inv
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Ã ÃÃÃÃÃÃÃÃÃÃÃÃÉÃÃÃ
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emission factor based on 2000 figur
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Danish Foundries. The emission of T
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230 ends in waste water, e.g. ethan
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Ã Ã Ã Ã 232 ÃÃÃÃÃÃÃÃÃ
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234 ÃÃÃÃÃÃÃÃÃ Ã ÃÃ ÃÃ
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238 confidentiality or that the amo
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240 • Inclusion of NMVOC use and
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242 Oertzen, Bundesanstalt für Mat
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only 18 % and 5 % respectively. Mos
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Ã The implied emission factors rel
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EEA guidebook (EMEP/EEA, 2009) defa
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ased on EMEP/EEA guidebook. All unc
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craft which cannot represent these
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ANNUAL DANISH INFORMATIVE INVENTORY
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