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Fabian Wagner IIASA

Fabian Wagner IIASA. Input Data: non-CO 2 Greenhouse Gases Concawe GAINS seminar December 1, 2006 Brussels. Agenda. Methodology (overview) Mitigation options for CH 4 for N 2 O for F-gases CH 4 from Agriculture Conclusions. Methodology (II).

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Fabian Wagner IIASA

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  1. Fabian WagnerIIASA Input Data: non-CO2 Greenhouse Gases Concawe GAINS seminar December 1, 2006 Brussels

  2. Agenda • Methodology (overview) • Mitigation options • for CH4 • for N2O • for F-gases • CH4 from Agriculture • Conclusions

  3. Methodology (II) For all anthropogenic sources of GHG emissions in a country: • Identification of available mitigation options • Including structural changes (fuel switch) and add-on measures • Country-specific application potentials • Baseline activity rates: national projections • Substitution potential derived from national energy models • Quantification of societal resource costs • Excluding transfers (profits, taxes, etc.) • Data sources • GHG emission inventories consistent with UNFCCC • GHG technology cost data from reviewed literature • Activity projections: provided by national governments and EU Commission

  4. GAINS model documentation

  5. Methodology (I) For all anthropogenic sources of GHG emissions in a country: • Estimation of emissions (base year) • Estimation of emissions (projections) • Estimation of costs and potentials for mitigation options

  6. Methodology (II) For all anthropogenic sources of GHG emissions in a country: • Identification of available mitigation options • Including structural changes (fuel switch) and add-on measures • Country-specific application potentials • Baseline activity rates: national projections • Substitution potential derived from national energy models • Quantification of societal resource costs • Excluding transfers (profits, taxes, etc.) • Data sources • GHG emission inventories consistent with UNFCCC • GHG technology cost data from reviewed literature • Activity projections: provided by national governments and EU Commission

  7. Main mitigation options for CH4 28 options considered in GAINS • Gas sector • Reduced leakages during gas transmission and distribution • Flaring instead of venting • Waste management • Recycling/composting of biodegradable waste instead of landfill • Methane recovery from landfills • Enteric fermentation • Dietary changes for cattle coupled with livestock reductions • Manure management • Anaerobic digestion plants and stable adaptation • Coal mines • Upgraded gas recovery in coal mines • Rice paddies • Modified rice strains

  8. CH4 emission estimates in GAINS 1.0 RAINS methodology using the following activities and emission factors:

  9. Main mitigation options for N2O 18 options considered in GAINS • Arable land and grassland • Reduced fertilizer application • Optimal timing of fertilizer application • Nitrification inhibitors • Precision farming • Less use of histosols (peat soils) • Industry • Emission controls in adipic acid and nitric acid industry • Combustion • Modified fluidized bed combustion • Health care • Reduced N2O use • Waste treatment • Optimized waste water treatment

  10. National cost curves for N2OMarginal costs for national activity projections 2020 [€/t CO2-eq]

  11. Main mitigation options for F-gases22 options considered in GAINS • Refrigeration (domestic, commercial, transport and industrial) • Recollection, alternative refrigerants and good practice • Mobile and stationary air conditioning • Alternative refrigerants, process modifications, good practice • HCFC22 production • Incineration • Primary aluminum production • Conversion to other processes • Semiconductor industry • Limited PFC use through alternative processes • Other sectors • SO2 cover for magnesium production • Good practice for gas insulated switchgears • Alternative propellants for foams and aerosols • End of life recollection of SF6

  12. Agenda • Methodology (overview) • Mitigation options • for CH4 • for N2O • for F-gases • CH4 from Agriculture • Conclusions

  13. Shares of CH4 emissions in EU25GAINS estimates for 2000

  14. Comparison of agricultural CH4 estimates for 2000GAINS 1.0 vs. National Communications

  15. Future emissions • Exogenous activity data – three scenarios • Scenario 1 - CAFE (Agenda 2000) • Scenario 2 - MTR (Mid Term Review of CAP and sugar sector reform) • Scenario 3 - NAT (combination of national perspectives [16 MS] and MTR) • Emission factors: IPCC defaults extended to distinguish differences between solid and liquid manure systems • Large differences between nationally used emission factors • Implementation of current policies

  16. Comparison of activity projections

  17. Comparison of activity projections

  18. Projections of agricultural GHG emissions for 2015 (relative to 1990, using GAINS emission factors)

  19. Scope for further CH4 reductions from agriculture 2020, Scenario 2 (MTR), EU-25 (GAINS 1.0 cost curve)

  20. -19 Mt -32 Mt -31 Mt -52 Mt -64 Mt -97 Mt Comparison to ECCP-I resultsReductions of non-CO2 GHG from agriculture in EU-15

  21. IPCC Inventory Good Practice Guidance 2000/2003:to be used under the Kyoto Protocol

  22. IPCC Inventory Good Practice Guidance 2006:for post-Kyoto

  23. CH4 updates in GAINS (2007 version) A general update of structure and emission factors to IPCC (2006) and in addition the following revisions:

  24. Conclusions • GAINS covers all Kyoto-relevant GHGs • The Agriculture Sector is a large contributor to non-CO2 GHG emissions in Europe • Emissions from Agriculture have been declining (in particular in NMS) • Compared to ECCP-I results, the ECCP-II baseline scenarios result in lower emissions and higher potential for further reductions • Methodology is consistent with IPCC and is kept up to date

  25. GAINS model documentation

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