Renewable Energy Community of Practice

1. Renewable EnergyCommunity of Practice Dr. Thierry Ranchin, Ecole des Mines de Paris Marion Schroedter-Homscheidt, German Aerospace Center (DLR)

2. Objectives – Renewable Energy CP • Support GEOSS outcomes related to application of EO data for renewable energies. Relevant areas are: • Siting • Design • Yield estimation and resource monitoring • Forecasting • Integration • Operation • Trading • Environmental monitoring • Renewable energy community: users of the energy, suppliers of systems and components, electricity transmission and distributions operators, heat distributors providers of services, value adders, market players

3. Societal Benefit Why Renewable Energy Now? • World-wide interdependence of conventional energy production • Energies and uses of energies have a dramatic impact on global warning, human health and sustainable economic development • Technologies mature and in development • Huge potential in both developed and developing countries • Dramatic benefit in improved siting, operating monitoring, etc. using long-term historic data and nowcasting • Improved forecasting crucial to integration into electricity grids and for utility and power plant operations

4. Justification Requires interdisciplinary knowledge and disparate information that go beyond existing collaborative activities: • Weather data archives for site modeling • Weather forecasting in all timeframes • Boundary layer meteorology • Climate analysis and long-term variability • Extreme event analysis and temporal change • Turbulence information • GIS, land use data, surface roughness data, orography, snow cover, vegetation status • Ocean parameters • Infrastructure compatibility • Environmental impacts

5. Gaps identified by Users Several projects as e.g. ESA EOMD projects ENVISOLAR, EO-WINDFARM and EO-HYDRO have shown shortcomings: • data are hard or costly to access • form difficult to interpret • quality information unknown • user involvement in product definition is missing • delays in data access • handling of large data amounts • NRT chains of data supply are not reliable enough • spatial and temporal coverage not optimized for energy needs • standardisation not sufficient • different data sources difficult to handle • lack in long-term funding of EO providers, project-based data • long-term archives not funded

6. Energy systems Life Cycle / Data Needs Courtesy Armines (Fr) Data Requirements depend on the phase • Data Issues: • error bar (DA, risk) even for individual values • certification, bankable • benchmark • availability, backup systems • automatic monitoring

7. Archived and near real time services Courtesy DLR (D)

8. Political + Economic Framework Getting renewables into the market Initial (political) investment is necessary Resource mapping • Available Resources • Technical and economic potentials • Which technologies are feasible? Potentials • Possible capacity development • How can they contribute to the national energy system? Scenarios • Market introduction • How to get them into the market? • Where to start? Strategies Instruments • Political and financial instruments • Legislation, incentives Investments • Private investments Private investors need resource data Courtesy DLR (D)

9. Wind energy offshore wind speed surface roughness for wind modelling elevation model Courtesy ARMINES (FR) Courtesy ARMINES (FR) Courtesy RISOE (DK) Some images taken from WECP, 16 Dec 2005 presentation

10. Survey on solar investments Services for Investment Decision Big PV Big Thermal Small PV Investment ofseveral millions Investment ofseveral thousends Investment ofseveral 100 millions Courtesy DLR, Meteocontrol (D)

11. Basic questions How many good sites are available? Where do I put my solar power plant ? Technical and economic potential: Policy development Site ranking: Site selection Courtesy DLR (D)

12. Use of technology modules Solar resources Annual Energy Yield Hourly system simulationfor every suitable pixel Courtesy DLR (D)

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

14. Solar resource assessment snow cover elevation model 25 Feb 2006 2 Mar 2006 Courtesy ARMINES (FR) Courtesy DLR (D) land slope Remote sensing for resource assessment - auxiliary data Courtesy DLR (DLR)

15. Solar – Plant Management 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. Courtesy Enecolo (CH)

16. Ocean energy Scatter diagram.Percentage of occurrence of significant wave height (m) in rows versus wave direction in columns - waveclimate.com. significant wave height Courtesy ARGOSS (NL) & BMT (UK) Courtesy ARGOSS (NL) & BMT (UK) Remote sensing, in-situ measurements (buoys) and models outputs for resource and impact assessments artists view of a wave farm Courtesy Ocean Power Delivery Ltd

17. Ocean energy Ocean Thermal Energy Vertical Profil Model Mapping of Ocean Thermal Energy Irradiation Site Characterization For a Given Site Investment study (Archive) Monitoring / Maintenance (Real Time) Wind Courtesy NERSC (Norway)

18. Biomass Corine Land Cover Courtesy UBA/DLR (D) Soil-Vegetation- Atmosphere-Transfer land cover and leaf area index 1998 NPP (TgC/year/pixel) for all classes Courtesy DLR (D) Courtesy NOAA (US) Resources

19. Biomass Annual energy yield or potential, monitoring resources Technology model 1998 NPP (TgC/year/pixel) for all classes Courtesy DLR (D) after Dieter and Englert, 2001 example of part of such technology models, 1 step out of many others…

20. Geothermal • Satellite and airborne image analysis • Volcanological studies • Geologic and structural mapping, subsidence,characteristic minerals or vegetation • Geodetic Data • Seismic survey

21. Hydro-Power snow water equivalent snow coverage Courtesy VIASAT(CA) • Snow water equivalent derived from • RADARSAT or ENVISAT-ASAR. Courtesy NORUG (N)

22. Hydro-Power • Three Gorges Dam China • faults, landslides and geological problems extracted from an analysis of fused data (SAR, LAndsat, SPOT) Courtesy Chengdu University of Technology (China), Ecole des Mines de Paris

23. Interaction between Renewables • Snow information is needed for hydropower and solar. • Mesoscale modelling is needed for wind, solar, biomass and hydropower. • Wave information is needed for ocean and wind energy. • Digital elevation models are needed for wind, solar, hydro, biomass. • Temperature is needed for solar and biomass • Irradiance is needed for solar and biomass • Aerosols are needed for solar and biomass • ….

24. Structure of RE CP (1) Renewable Energies CP Solar RECP-WG Ocean RECP-WG Biomass RECP-WG Wind Energy CP Geothermal RECP-WG Hydro-power RECP-WG

25. Structure of RE CP (2) 2 models under discussion for link between RECP and WECP • RECP steering committee membership as proposed by Jay Pearlman • Chairs of each RECP working group (tbd) • Co-Chairs of WECP (M. Ahlstrom, alternate C. Hasager) • Co-Chairs of RECP (T. Ranchin, M. Schroedter-Homscheidt) 2) link to WECP via RECP contact point (Thierry Ranchin)Can Thierry Ranchin be included as member in WECP to ensure close cooperation between WECP and RECP?

26. Structure of RE CP (3) Community of Practices Working Groups for thedifferent renewable energies • experts • members of the Community of Practices • at least one RECP steering committee member • global representation is needed

27. Responsibilities (preliminary) • Solar (Marion Schroedter-Homscheidt) • Ocean (Thierry Ranchin) • Biomass (Marion Schroedter-Homscheidt) • Geothermal (Thierry Ranchin) • Hydro-power (Marion Schroedter-Homscheidt)

28. Activities • Establishment of general methodology for Energy Community of Practise work • Establishment of Community of Practice working groups • Workshops for users and user surveys • Identify existing and anticipated user requirements • Identify present status and gaps in EO data • Collect information on standardisation (Metadata, protocols, architecture, databases, information…) • Building networks and develop incubation projects • Favouring business development • Disseminating and educating GEOSS potential and best practices

29. Priorities • Focus on solar (Marion Schroedter-Homscheidt)IEA Solar Resource Assessment Workshop, Denver July 2006ASES Solar Energy Conference, Denver July 2006 • Focus on wind via WECP (M. Ahlstrom, C. Hasager) • Focus on ocean energy (Thierry Ranchin) presently discussion with possible co-chairs • Extend to biomass and autumn 2006 • Extend to geothermal (Thierry Ranchin)autumn 2006 • Extend to hydropower (Thierry Ranchin, Marion Schroedter) autumn 2006

30. Schedule (1) • March 2006 Approval of RECP by UIC • May 2006 RECP work program and member list drafted Initiate user survey • Take part in consultation with IEA (EN-06-01 and -04)Details tbd this meeting • Provide input for survey of energy management needs (EN-06-02)Details tbd this meeting • Participate in energy fora (EN-06-06)i.e. ASES conference • Workshop of RECP members (tbd) • December 2006 first report to UIC

31. Schedule (2) • Provide input on decision-support tools (EN-06-03) and on hydro-power demonstration project (EN-06-05) • Participate in energy fora (EN-06-06) • December 2007 final integrated report on user communities, user requirements, EO products, gaps in EO, best practises and standardisation to UIC Details tbd this meeting, structure as needed by GEO workplan activities

32. Backup slides