RAINS becomes GAINS and other “future” stories

TFIEP Workshop on Emission ProjectionsThessaloniki, Greece, 30-31 October, 2006

Zbigniew KlimontEMEP Centre for Integrated Assessment Modelling (CIAM)

Content

• Issues of concern

• RAINS becomes GAINS

• New RAINS/GAINS agricultural module

• EDGAR – RAINS/GAINS collaboration

• Other “futures”

Issues of concern

• More important links between pollutants and GHG gases – implications for emission projections and impact assessment…consequently for policy discussion

• Potentially conflicting legislation (primarily cross-media issues)

• The more traditional concerns that remain concerns:– Technology parameters– Technology penetration– Limits to technology– Activity data projections– Spatial resolution– Temporal resolution

Links between pollutants built in

• PM – NOx – NMVOC – NH3: common control strategy for mobile sources

• PM – NMVOC – CH4 – CO: common control strategy for residential sources

• N2O – CH4 – NH3 – NO3 – N2:

under development

• NOx – NH3: stationary combustion - emissions from SCR and SNCR equipped installation

• NOx – SF6 – HFC – CO2: The same car fleet characteristics used

The GAINS model: The RAINS multi-pollutant/ multi-effect framework extended to GHGs

PM SO2 NOx VOC NH3

Health impacts: PM

O3 Vegetation damage: O3

Acidification

Eutrophication

Economic synergies between emission control measures

Mu

ltip

le b

ene

fits

PM SO2 NOx VOC NH3 CO2 CH4 N2OPFCsHFCsSF6

Health impacts: PM

O3 Vegetation damage: O3

Acidification

Eutrophication Radiative forcing: - direct

- via aerosols - via OH

Physical interactions

The model: GAINS

• Extension of RAINS to include six Kyoto gases (CO2, CH4, N20, HFC, PFC, SF6) and information about relevant abatement measures and their costs

• Optimal choice of emission reduction measures to meet air quality objectives simultaneously with targets on Kyoto greenhouse gases

• Cost curves for all six gases for the period 2000 to 2030

• GAINS will be able to explore cost-effectiveness of structural changes in the energy system

• Currently applied to Europe but application for Asia is a high priority

Emission control options considered in GAINSwith country/region-specific application potentials and costs

Air pollutants :~1500 options for SO2, NOx, VOC, NH3, PM

CO2:

162 options for power plants, transport, industry, domestic

CH4 :

28 options for the gas sector, waste management, enteric fermentation, manure management, coal mines, rice paddies

N2O :

18 options for arable land and grassland, industry, combustion, health care, waste treatment

F-gases :22 options for refrigeration, mobile and stationary air conditioning,

HCFC22 production, primary aluminum production, semiconductor industry and other sectors

The sub-model to calculate gaseous emission, runoff and leaching in a consequent way using the mass balance approach:

• A mathematical framework to model the flow of:

– Nitrogen (NH3, N2O, NOx, N2 emissions)

– Volatile solids (CH4 emission)

• Moreover:– Nitrogen is split up into TAN (total ammoniacal nitrogen),

which is the active part that gives rise to the gaseous emissions, runoff and leaching and an inactive part Norg (organic nitrogen)

Building new agricultural module of RAINS/GAINS [1]

• The model is set-up to incorporate new emission processes, such as emission from e.g. – Yards (e.g., hard-standings or exercising, feeding yards)– Different stages of biogas plants– Direct spread (from housing directly to the field)– Drying cow dung (e.g. India)

• Moreover it will: – Include NO3

- leaching and runoff

– Give output for smaller areas (NUTS2, NVZ)– Give the possibility to calculate seasonal variation

Building new agricultural module of RAINS/GAINS [2]

EDGAR and RAINS/GAINS

• Merging both approaches to create a tool that combines detailed spatially resolved emission inventories with database on control technologies and economic development.

• Possible applications:– Generate spatially resolved emission scenarios considering different

economic development and various policy setting– Provide input to dispersion models (regional, hemispheric, global)

• The tool will be based on the Web technology and will be openly available

• Once the concept and technology proves itself in applications for Europe and Asia, the modules for other regions can be developed

– The idea is that other teams with expertise in other regions could “plug in” and either use it for their own purpose and/or work together on extension of the coverage available for all users.

Other “futures”

• Sensitivity towards alternative energy/agricultural projections needs to be further explored

• Incorporation into RAINS of all-European transport scenarios (TREMOVE) desirable

• Health impact assessment for PM, including differentiation for urban air quality (City-Delta)

• Good understanding of agricultural production systems across Europe and assessment of future abatement potential are more important than ever

• EC4MACS proposal for LIFE+ funding (2006-2011)

The EU-LIFE project EC4MACS:European Consortium for Modelling of Air Pollution and Climate Strategies

• EU funding for a consortium of integrated assessment modelling teams to prepare and maintain modelling tools for air quality and climate policy development– IIASA (CIAM) - Coordinator – MNP/RIVM (CCE) - critical loads data– NTUA Athens – energy projections– Uni Bonn et al. – agricultural projections– LTUA Thessaloniki – transport modelling– AEAT et al. – benefit assessment– MET.NO (MSC-W) – dispersion modelling– Supported by additional contracts for JRC Ispra and Sevilla

• Project time frame 2007-2012• ~4.5 million € EU contribution (on co-funding basis)

Elements of the 2007 workplan

• Review of the Gothenburg Protocol: – Update national energy & emission projections – Contribution to TFIAM-review report

• Revision of the protocol: – Report on agricultural emissions modelling– Report on GAINS-model optimizations result– Further development of (dynamic) ecosystem modelling incl.

the nitrogen cycle– Further explore options for target setting and robustness

analysis– Analysis of effects of hemispheric pollution scenarios– Improve treatment of negative cost measures in GAINS– Further evaluation of sectoral trends & MFR, incl. NTM,

emerging technologies & ships