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Solar Atlas for the Mediterranean Final Workshop

  Under the Patronage of His Excellency Alaa Batayneh,
   Minister of Energy and Mineral Resources of Jordan

            Introduction to the Solar Med Atlas
                    Carsten Hoyer-Klick
                 German Aerospace Center

                          Date: December 4th, 2012
               Venue: Sheraton Amman Al Nabil Hotel - Amman
Motivation


• Solar radiation is the fuel of solar energy. Knowledge about its availability
  is crucial for the successful development of
    – Solar energy policies
    – Solar energy investments

• The knowledge on the solar resource is very uncertain in the Southern and
  Eastern Mediterranean

• Information on resources and potentials is essential to trigger
  developments

• Good Basic solar radiation information should be a public good (common
  investment for everybody’s profit, as e.g. infrastructures).
Objectives


•   Improve the resource data base by
     – High resolution solar radiation mapping (GHI + DNI)
        based on satellite images
     – Use of open and transparent state of the art algorithms
     – Transparent validation of the data base
     – Free access to monthly values
•   Improve access by
     – Open system architecture based on internet standards
     – Easy to use web interface
     – Downloadable data (monthly time series and maps)
     – Web applications for data analysis
     – Linking ancillary information (Socio-Economic, GIS data)
•   Improve the knowledge data base for solar energy policy making and
    investments
Project Consortium

           German Aerospace Center,
           Institute of Technical
           Thermodynamics,              GeoModel Solar
           Department of Systems-
           Analysis and Technology
           Assessment (Coordinator)
           German Remote Sensing Data   United Nations Environmental
           Center                       Programme, Division of
                                        Technology, Industry and
           Armines / Mines-ParisTech,   Economics
           Centre Énergétique et
           Procédés
                                        OME, Observatoire
                                        Méditerranéen de l’Energie
           Transvalor


                                        RCREEE Regional Center for
                                        Renewable Energy and Energy
                                        Efficiency
Getting Renewable Energy to Work

                                                      Technology data
                                                        and learning
Available
Resources             Resource mapping                            Socio-economic
Which                                                             and policy data
technologies                 Technical and




                                                                                    Political + Economic Framework
are feasible?             economical Potentials
How can RE                        Technology




                                                                                             Setting the right
contribute to the            deployment scenarios                 Best practices
energy system?
How to get them into the
                                   Strategies for
market? Where to start?          market development
Legislation, incentives                 Political and
                                    financial Instruments

                                             RE-Markets
Project Development for
                               Renewable Energy Systems
                                                                                                                                                                         Finding suitable




                                                                                                              Pre feasibility
                                    Resources
   no market
    few data




                                     (Atlas)                                                                                                                             sites with high
                                                                                                                                                                         resolution maps




                                                                                                                                             Feasibility
                                  Project development                                                                                                                    and economic
                                                                                                                                                                         evaluations




                                                                                                                                                           Engineering
                                         Resources
                                                                  1200




                                                                                                                                                                         Detailed
                                                                                                                            ground
                                                                  1000                                                      satellite

                                                                   800




                                                           W/m²
                                                                   600




                                        (time series)
                                                                   400




                                                                                                                                                                         engineering with
                                                                   200

                                                                     0
                                                                         13   14   15                    16            17               18

                                                                                    day in march, 2001




                                                                                                                                                                         site specific data
existing commerical market
 data and services available




                                           Engineering                                                                                                                   with high
                                                                                                                                                                         temporal
                                                Construction                                                                                                             resolution as
                                                                                                                                                                         input to
                                                                                                                                                                         simulation
                                                 Commissioning
                                                                                                                                                                         software

                                                      Operation
The Value Adding Dilemma of Geo Data


                                 Data gap which needs to be filled


  high                                                           Cost / Effort                                                                                                 low



                                                                  Information
                                                                    products                                                          Applications /
    Basic geo data                                              Decision Support                                                        Analysis
                                                                      Tools

Scientific resource data                                     GIS Applications, Potentials                                        Analysis, Scenarios, Consulting
                                                             Interfaces to models



low                                                                                           Value                                                                               high

      Source: Micus GmbH (2003): Der Markt für Geoinformationen: Potenziale für Beschäftigung, Innovation und Wertschöpfung, Studie für das Bundesministerium für Wirtschaft und Arbeit, www.micus.de
Way-out from the Value Adding Dilemma

Two possible options:

1. Set up an integrated value adding chain: Earn the money on the
   rightend side and transfer it to the left.
    – Chicken and egg problem: Where to get the initial money from?
    – Needs integrated chain (best in one hand) to make the transfer

2. Make the left side a public good. Easy and free access eases market
   entry for small companies which leads to rapid market developent
    – The “egg” comes from the government
    – The developing market creates tax revenues (new “eggs”).



CEM/IRENA Global
Current Status of Resource Information


• Coarse public data sets of unknown quality
   – Reanalysis data
   – NASA SEE (100 km)
   – PVGIS (only global horizontal radiation)

• Few regional assessments
   – Often by interpolation of ground measurements
   – Only global horizontal radiation
   – Sometimes hard to access (e.g. only color maps in printed
     presentations)
Objectives of the Solar-Med-Atlas


•   Improve the resource data base by
     – High resolution solar radiation mapping (GHI + DNI)
        based on satellite images
     – Use of open and transparent state of the art algorithms
     – Transparent validation of the data base
     – Free access to monthly values
•   Improve access by
     – Open system architecture based on internet standards
     – Easy to use web interface
     – Downloadable data (monthly time series and maps)
     – Web applications for data analysis
     – Linking ancillary information (Socio-Economic, GIS data)
•   Improve the knowledge data base for solar energy policy making and
    investments
Networking with Collaborative
 Information Systems
                                                                                Solar
                                                                    data        resources
                                                                                A (e.g. DLR)
                                                                  provider


                                        Data
                                       broker                                Solar
                                                                 data        resources
                                                                             B (e.g.
 user interface                                                provider
                                                                             Mines-ParisTech)


                                    data                       geographical data, land use,
                                                      data     infrastructure,
                                  provider          provider
Communication with open                                        e.g. public agencies
and standardized internet
protocols                   Policy data base            set up of the architecture within
                            e.g. IEA, UNEP, REN21       the framework of GEOSS
User Interface
                         Google API:
                         Easy to use




                                              Information tabs,
                                                 applications




           Basic socio                 Site selection, read
            economic                     average values
           information
Solar data
Interannual variability
PV Simulation
Solar Hot Water Simulation
WEB-GIS
Outlook: Global Atlas for
Solar- and Wind Energy
Upcoming


•   More training, multi day workshops, train the trainer
•   Dynamic socio economic profiles
•   Off-Grid PV systems
•   Integration into the Global Atlas
Thank you


• The project consortium, which did all this work

• The German International Climate Initiative which supported this
  work




• RCREEE + OME for organizing this workshop

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Introduction to the solar med atlas

  • 1. Solar Atlas for the Mediterranean Final Workshop Under the Patronage of His Excellency Alaa Batayneh, Minister of Energy and Mineral Resources of Jordan Introduction to the Solar Med Atlas Carsten Hoyer-Klick German Aerospace Center Date: December 4th, 2012 Venue: Sheraton Amman Al Nabil Hotel - Amman
  • 2. Motivation • Solar radiation is the fuel of solar energy. Knowledge about its availability is crucial for the successful development of – Solar energy policies – Solar energy investments • The knowledge on the solar resource is very uncertain in the Southern and Eastern Mediterranean • Information on resources and potentials is essential to trigger developments • Good Basic solar radiation information should be a public good (common investment for everybody’s profit, as e.g. infrastructures).
  • 3. Objectives • Improve the resource data base by – High resolution solar radiation mapping (GHI + DNI) based on satellite images – Use of open and transparent state of the art algorithms – Transparent validation of the data base – Free access to monthly values • Improve access by – Open system architecture based on internet standards – Easy to use web interface – Downloadable data (monthly time series and maps) – Web applications for data analysis – Linking ancillary information (Socio-Economic, GIS data) • Improve the knowledge data base for solar energy policy making and investments
  • 4. Project Consortium German Aerospace Center, Institute of Technical Thermodynamics, GeoModel Solar Department of Systems- Analysis and Technology Assessment (Coordinator) German Remote Sensing Data United Nations Environmental Center Programme, Division of Technology, Industry and Armines / Mines-ParisTech, Economics Centre Énergétique et Procédés OME, Observatoire Méditerranéen de l’Energie Transvalor RCREEE Regional Center for Renewable Energy and Energy Efficiency
  • 5. Getting Renewable Energy to Work Technology data and learning Available Resources Resource mapping Socio-economic Which and policy data technologies Technical and Political + Economic Framework are feasible? economical Potentials How can RE Technology Setting the right contribute to the deployment scenarios Best practices energy system? How to get them into the Strategies for market? Where to start? market development Legislation, incentives Political and financial Instruments RE-Markets
  • 6. Project Development for Renewable Energy Systems Finding suitable Pre feasibility Resources no market few data (Atlas) sites with high resolution maps Feasibility Project development and economic evaluations Engineering Resources 1200 Detailed ground 1000 satellite 800 W/m² 600 (time series) 400 engineering with 200 0 13 14 15 16 17 18 day in march, 2001 site specific data existing commerical market data and services available Engineering with high temporal Construction resolution as input to simulation Commissioning software Operation
  • 7. The Value Adding Dilemma of Geo Data Data gap which needs to be filled high Cost / Effort low Information products Applications / Basic geo data Decision Support Analysis Tools Scientific resource data GIS Applications, Potentials Analysis, Scenarios, Consulting Interfaces to models low Value high Source: Micus GmbH (2003): Der Markt für Geoinformationen: Potenziale für Beschäftigung, Innovation und Wertschöpfung, Studie für das Bundesministerium für Wirtschaft und Arbeit, www.micus.de
  • 8. Way-out from the Value Adding Dilemma Two possible options: 1. Set up an integrated value adding chain: Earn the money on the rightend side and transfer it to the left. – Chicken and egg problem: Where to get the initial money from? – Needs integrated chain (best in one hand) to make the transfer 2. Make the left side a public good. Easy and free access eases market entry for small companies which leads to rapid market developent – The “egg” comes from the government – The developing market creates tax revenues (new “eggs”). CEM/IRENA Global
  • 9. Current Status of Resource Information • Coarse public data sets of unknown quality – Reanalysis data – NASA SEE (100 km) – PVGIS (only global horizontal radiation) • Few regional assessments – Often by interpolation of ground measurements – Only global horizontal radiation – Sometimes hard to access (e.g. only color maps in printed presentations)
  • 10. Objectives of the Solar-Med-Atlas • Improve the resource data base by – High resolution solar radiation mapping (GHI + DNI) based on satellite images – Use of open and transparent state of the art algorithms – Transparent validation of the data base – Free access to monthly values • Improve access by – Open system architecture based on internet standards – Easy to use web interface – Downloadable data (monthly time series and maps) – Web applications for data analysis – Linking ancillary information (Socio-Economic, GIS data) • Improve the knowledge data base for solar energy policy making and investments
  • 11. Networking with Collaborative Information Systems Solar data resources A (e.g. DLR) provider Data broker Solar data resources B (e.g. user interface provider Mines-ParisTech) data geographical data, land use, data infrastructure, provider provider Communication with open e.g. public agencies and standardized internet protocols Policy data base set up of the architecture within e.g. IEA, UNEP, REN21 the framework of GEOSS
  • 12. User Interface Google API: Easy to use Information tabs, applications Basic socio Site selection, read economic average values information
  • 16. Solar Hot Water Simulation
  • 18. Outlook: Global Atlas for Solar- and Wind Energy
  • 19. Upcoming • More training, multi day workshops, train the trainer • Dynamic socio economic profiles • Off-Grid PV systems • Integration into the Global Atlas
  • 20. Thank you • The project consortium, which did all this work • The German International Climate Initiative which supported this work • RCREEE + OME for organizing this workshop