Edgar Database Offers Info on Air Pollutant Emissions, Green Tech, Page 1
| ||||||
| ||||||
| Note : Best viewed in FF3 or above, IE7 or above | ||||||
| Page(s): 1 2 3 4 | ||||||
Other similar topics highly visited | ||||||
Page content: ON EMISSION INVENTORIES http://edgar.jrc.ec.europa.eu RATIONALE DATA SOURCES With the database JRC provides global emission trends of in support of : Activity Data: Policy makers: to analyse energy, climate and air pollution policies for industrialisedand developing IEA data for fuel production (coal, oil, gas) and combustion (power generation, countries based on model runs and interpretations with databases used in-house at the EC. manufacturing industry, buildings, road transport and aviation/shipping statistics); FAO data for agricultural activities (livestock, crop production); GFED fire data Scientific community: to analyse low emission scenarios with an accurate, realisticrepresentation and distribution of air pollutants for various emission source categories (forests, savannas); UNICS, USGS and others for industrial production and technologies used. WHAT IS IN THE ONLINE DATABASE Emission Factors: Chemical substances: 2006 IPCC GHG Inventory Guidelines, EEA/EMEP Guidebook for Air Pollutants, Greenhouse gases: CO2, CH4, N2O, HFCs, PFCs, SF6 IPCC 2006 methods (e.g. landfill model, indirect N2O); scientific literature and other reports for End-Of-Pipe abatement technologies applied Air pollutants: CO, NOx, NMVOC, NH3, SO2, Particulates, Black Carbon Ozone depleting substances: CFCs, halons, HCFCs Emission source categories: A sector-specific breakdown for Greenhouse Gases (GHG) emissions, for about 50 Time periods: major categories, including land use and land use change and forestry. categories land-use land-use forestry Historical emission trends of annual emissions from man-made sources from 1970 onwards (for 2005 also monthly emissions), reported for 50 standard source categories Emission scenarios for 2006 to2050 based on projections with scaling from economicequilibrium model Spatial allocation: Gridding of emissions data per country on 0.1 x 0.1 based on global gridmaps for urban andrural p p population, road network, shipping routes, aircraft routes, g , , pp g , , grasslands (g (grazing animals), ricefields, other g ), , arable land, forest fire areas, and point sources such as power plants, industrial plants(steel, cement, ammonia), coal mines, oil and gas fields METHODOLOGY Database structure: CO2 CH4 Activity Data Emission Factors EndOfPipe abatement N2O TECHnology share per technology (fuel/ animal... use) reduction factors F-gases (23) & Abatement degree TJ/yr #/yr 100% kton/TJ kton/# 100% CO FURTHER APPLICATIONS EOP EF NOx EOLO (EDGAR OnLine Open access): web application opened up for public access AD TECH NMVOC (25) ( ) NH3 CIRCE: FP6 Integrated project on Climate Change and Impact Research: the Technology-specific CompoundEmission SO2 Mediterranean Environment with global and regional climate impact assessment Activity Data Factors /abated tech TJ/yr #/yr kton/TJkton/# OC CARBONES: FP7 project aiming to provide a 30-year long re-analysis of carbon BC TSP fluxes and pools over Europe and the globe, with a user-friendly on-lineinterface. PM10 CoM (Covenant of Mayors): a mainstream European movement involving local and EMISSIONS PM2.5 regional authorities, voluntarily committing to make use of cleaner energy (using kton/yr PM1 higher energy efficiency, renewable resources, reducing CO2 emissions for more g gy y, , g Emissions Grid maps Scale EMISSIONS on grids GRIDs than 20% . 0.1x0.1 0.1x0.1 E-PRTR: (European Pollutant Release and Transfer Register): aEurope-wide register that provides publicly accessible key environmental data from industrial Calculation: facilities in the EU-27 and the 4 EFTA member states Using a technology based approach and expression: HTAP (UN task force Hemispheric Transport of Air Pollution ): inventory,composed [ EM C ( y, x) = ADC ,i ( y) * TECHC ,i , j ( y) * EOP ,i , j ,k ( y) EFC ,i , j ( y,x) * (1 REDC ,i , j ,k ( y, x)) C ] of emissions reported or officially accepted by countries with gapfilling using EDGAR d t data i , j ,k UNEP Black Carbon study assessing near-term opportunities reducing BC & CH4 EM = Emissions; C = country, y: year, x: compound, i: sector, j: technology type; k:end-of-pipe type; AD: Activity Data (e.g. natural gas in power plant sector, number of animals), TECH: Technology (e.g. gas turbine power plant), EF: Emission Factor (e.g. kg emissions per m3 natural gas combusted), by sector & technology(uncontrolled) , RESULTS EOP: fraction per technology of emissions abated by End-Of-Pipe abatement technology (e.g.catalytic converter in cars), Global anthropogenic GHG emissions in CO2 eq. (GWP100) in 2008 on 0.1x0.1 grid RED: Reduction % of the uncontrolled EF by the installed EOP technology (e.g. dust removalefficiency of a filter) (including international shipping aviation excluding short cycle carbon and forestfires) shipping, aviation, ton CO2eq 0.1x0.1 mmunities, 2007 EDGAR project team: Contact: G.Janssens-Maenhout, A.Meijide, M.Muntean,V.Pagliari, Edgar-info@jrc.ec.europa.eu European Com R.Petrescu, J.Wilson, B. Murphy, G.Oreggioni, D.Guizzardi, EC Joint Research Centre J.Olivier (PBL), J.Peters (PBL) Institute for Environment & Sustainability Acknowledged: J.van Aardenne, U.Doering,S.Monni, M. Canova Climate Change & Air Quality Unit | ||||||
