1. virtual Institute of Energy Meteorology Earth Observations and Energy Management Expert Meeting 28-29 August 2006 M. Schroedter-Homscheidt German Aerospace Center (DLR) Virtual Institute of Energy Meteorology Renewable Energy Community of Practise

2. virtual Institute of Energy Meteorology Renewable Energy Community of Practise Status Solar Working Group Status Bioenergy Working Group Hydropower, geothermal and ocean energy -> Thierry Ranchin

3. virtual Institute of Energy Meteorology In 2005, The SHC Programme accepted the proposed task entitled Solar Resource Knowledge Management as Task 36 with collaboration of PVPS and SolarPACES Purpose and Objectives Provide standardization and benchmarking of international solar resource data sets to ensure reliability and intercomparability => Subtask A Provide improved data availability and accessibility using data structures and information portals that address specific user needs => Subtask B Develop and improve methods so that resource products, including solar resource forecasts, achieve greater accuracy with higher temporal and spatial resolution => Subtask C INTERNATIONAL ENERGY AGENCY Task "Solar Resource Knowledge Management"

4. virtual Institute of Energy Meteorology INTERNATIONAL ENERGY AGENCY Task "Solar Resource Knowledge Management" Value and Benefits to citizens and society Users Solar Resource Maps and Forecasts High-Performance Computing, Communication, and Visualization (Subtask B) Standards and Interoperability (Subtask B) ImpactsOutcomesOutputs Inputs Data Solar Irradiance Models (Subtask A & C) Earth-Sun Observatories (Subtask A & C) - Satellite: GOES, MSG, GMS, Terra, Aqua, NPP, NPOESS, ENIVSAT - Surface: BSRN, ARM, Alpine, NREL, PVPS-Task2, etc. - Maps: DLR, ESRA MeteoNorm, NASA, NREL, UA/SUNY, etc. - Forecasts: DLR, NASA, NOAA International Collaboration: Canada, France, Germany, Italy, Spain, Switzerland, US Partners with Decision-Support Tools Models Decision- Support Tools - Assess- ments - Decision - Support Systems Scenario Tools Management Decisions Policy Decisions Ongoing feedback to optimize value and reduce gaps

5. virtual Institute of Energy Meteorology Applied Science POWER/SSE RETScreen ® Earth-Sun System Science HOMER TM Sample Integrated Observing System for NASAs GEWEX SRB

6. virtual Institute of Energy Meteorology Solar resource assessment Remote sensing for resource assessment Meteosat First and Second Generation GOES satellites GMS satellites MODIS, ENVISAT, METOP Provide clouds, aerosols, water vapour to derive solar irradiance. Annual Sum of Direct Normal Irradiance 2002 Courtesy DLR (D)

7. virtual Institute of Energy Meteorology Remote sensing for resource assessment - auxiliary data land slope Courtesy ARMINES (FR) elevation model Courtesy DLR (DLR) snow cover Courtesy DLR (D) 25 Feb 2006 2 Mar 2006 Auxiliary data needed from space component

8. virtual Institute of Energy Meteorology Solar resources Annual Energy Yield Hourly system simulation for every suitable pixel Courtesy DLR (D) Sample Decision Support System – STEPS

9. virtual Institute of Energy Meteorology Courtesy Enecolo (CH) Courtesy Enecolo (CH) Compare actual yield with satellite- based yield estimated from satellite measurement of global irradiance at the ground. In case of significant deviation perform failure detection routines. Automatic warning of the photovoltaics system operator. Sample Decision Support System – Plant Management SPYCE service

10. virtual Institute of Energy Meteorology User questionnaire available on JRC web site: http://re.jrc.ec.europa.eu/iea-shc-task36/ Responses solicited by December 2006 Report to be published in early 2007 INTERNATIONAL ENERGY AGENCY Task "Solar Resource Knowledge Management"

11. virtual Institute of Energy Meteorology Soil-Vegetation- Atmosphere-Transfer Courtesy NOAA (US) land cover and leaf area index Corine Land Cover Courtesy UBA/DLR (D) 1998 NPP (TgC/year/pixel) for all classes Courtesy DLR (D)

12. virtual Institute of Energy Meteorology Annual energy yield or potential, monitoring resources Technology model 1998 NPP (TgC/year/pixel) for all classes Courtesy DLR (D) example of part of such technology models, 1 step out of many others… after Dieter and Englert, 2001 Results Potential of forest wood residues (tons of dry matter, resolution 30) Potential of cereal straw … and other energy plants …