1 / 15

Z.Klimont EMEP Centre for Integrated Assessment Modelling (CIAM)

Learn about the GAINS database, its origin, and how it analyzes synergies between pollution and GHGs. Explore data storage, optimization, emission factors, and the GAINS approach for cost-effective strategies. Find resources and consultation details.

taylorp
Download Presentation

Z.Klimont EMEP Centre for Integrated Assessment Modelling (CIAM)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. GAINS databasesLinks and interactions with the international reporting processesUNECE TFEIP/EIONET meetingDublin, Ireland, 23-24 October, 2007 Z.Klimont EMEP Centre for Integrated Assessment Modelling (CIAM)

  2. Outline • What is GAINS? • What data is stored in GAINS? • What is the origin of data? • Where is GAINS?

  3. GAINS A tool to analyze synergies between air pollution and GHGs • GAINS: GHG-Air pollution INteractions and Synergies • Extension of RAINS integrated assessment model for air pollution to GHGs • CO2, CH4, N2O, HFC, PFC, SF6 in addition to SO2, NOx, VOC, NH3, PM • Country-by-country, 43 regions in Europe, up to 2030

  4. IIASA’s RAINScomputer model PM SO2 NH3 NOx VOC Policy targets Multi-pollutant/multi-effect analysisfor identifying cost-effective policy scenarios Health Eutrophication Acidification Ozone

  5. IIASA’s GAINSoptimization model PM SO2 NH3 NOx VOC GHGs Policy target on GHG emissions Policy targets on air quality The GAINS approachfor identifying cost-effective emission control strategies(GHG-Air pollution INteractions and Synergies ) Health Eutrophication Acidification Ozone

  6. Uniform or effect-based scenarios?

  7. Optimization • Linear optimization of air pollution control strategies in RAINS/GAINS: Objective: minimize (Costs) s.t. EnvEffectk < Limitk Minimize costs, such that environmental effects do not exceed pre-defined limits (there are additional technology constraints, e.g. • maximum application rates • vintage structure • etc)

  8. Differences between GAINS and RAINS in the optimization (technology representation) • RAINS optimization: • Decides how far to move up the cost curve (keep underlying activity fix!) • Exclude multi-pollutant technologies • GAINS optimization • Decides which technology to use (incl. multi-pollutant) • If cost-effective and possible, change the underlying activity (through e.g. efficiency improvement)

  9. What data is stored in GAINS? (1) • Not emissions! • However, emissions reported to UNECE and UNFCCC are used for validation purposes and create the basis for further exchange to resolve discrepancies.

  10. What data is stored in GAINS? (2) • Activity data • energy use, • industrial production, • livestock numbers, • fertilizer use, • waste production, • vehicle numbers, • etc. • Activity data parameters • shares of specific combustion installations, • manure management systems, • Vintage data • etc. • Emission factors (direct input)

  11. What data is stored in GAINS? (3) • Parameters for calculation of emission factors • sulfur and ash content, • N-excretion, • sulfur and ash retention, • fuel volatility, • PM size speciation, • solvent content • etc. • Reduction efficiencies of abatement options • Cost parameters of abatement measures and constraints on their application • Actual and projected penetration rate of control technology • Pollutant transfer coefficients - originate from EMEP MSC-W • Critical loads – originate from CCE

  12. What is the origin of GAINS data?[activities and activity parameters] • Historical (1990,1995,2000, 2005) • Statistics (IEA, Eurostat, FAO, IFA, EFMA) • Communication with national experts (consultations) • UNECE and UNFCCC submissions, • Industrial data (consultations CEPE, EFMA, other) • Models (PRIMES, TREMOVE, CAPRI), • Literature studies, and • Own assessments • Forecasts (until 2030) • Communication with national experts (consultations) • UNECE and UNFCCC submissions, • Industrial data (consultations), • Models (PRIMES, TREMOVE, CAPRI, FAO, EFMA), • Literature studies

  13. What is the origin of GAINS data?[emission factors and ef parameters, reduction efficiencies and costs of abatement]] • Guidebooks (CORINAIR/EMEP, AP-42, BUWAL) • UNECE Expert Groups • National submissions (consultations) • International databases, e.g., CEPMEIP • Industrial associations • Peer-reviewed literature • Grey literature • Own expertise

  14. Scope and timing of bilateral consultations (NEC) • IIASA met with representatives of 22 countries and 6 industrial associations • Meetings took 45 days over a period 25 March – 23 November 2005 • 127 national and industrial experts participated • Information collected/verified: • National scenarios up to 2020 for energy, transport, agriculture, industrial processes, and VOC sources • Emission factors and other country-specific parameters • “Current legislation” penetration of emission control technologies, potential for further controls and their costs • Exchange of information till mid-September 2006

  15. Where is GAINS? The background information available from: • Home of GAINS:http://www.iiasa.ac.at/rains/ • The GainsWeb on line model:http://www.iiasa.ac.at/web-apps/apd/gains/EU/index.login • The GAINS documentation:http://www.iiasa.ac.at/rains/gains-methodology.html • The GAINS review:http://www.iiasa.ac.at/rains/review.html

More Related