AIP-2 Kickoff Workshop Energy SBA Scenario Answer Thierry Ranchin, Mines ParisTech, France Team:...
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Transcript of AIP-2 Kickoff Workshop Energy SBA Scenario Answer Thierry Ranchin, Mines ParisTech, France Team:...
AIP-2 Kickoff Workshop
Energy SBA Scenario Answer
Thierry Ranchin, Mines ParisTech, France
Team: Mines ParisTech, DLR, JRC, NASA
MeteoTest, Rutherford Appleton Lab
GEOSS AIP-2 Kickoff
25-26 September 2008
Scenario objectives
• Support the SBA Energy by developing services providing irradiance data among other parameters
• Simulating the case of the sitting of a solar power plant.
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From the user’s point of viewStep Description
Step 0 The investor asks a consulting company for a study for a given geographical area
Step 1 The consulting company wants to obtain the necessary information and puts requests to the GEOSS portal
Step 2 The specific application is invoked
Step 3 The specific application invokes various web services and resources to retrieve needed information. It then invokes the specific processing web services.
Step 4 The specific application packs the layers as an archive file and deliver it to the consulting company
Step 5 The consulting company retrieves the archive, performs the study by exploiting the retrieved information and its own models and reports to the investor
Step 6 The investor takes a decision
Request
Answer
Process
2. Meteorological, geographic and tools already available
Meteorological data
• Access through WSDL to databases:– Monthly means of solar irradiance
– Min, max and mean values of air temperature at 2 m
– Min, max and mean values of relative humidity at 2 m
– HelioClim 3 time series of irradiance (year 2005)
– Forecast of meteo data at surface for 3 days to 3 hours
– SOLEMI time series irradiance data
– NASA–SSE–HelioClim 1 times series of daily irradiance
• Other types of access
– Real time information meteorological data
• Providers: Mines ParisTech, NCAR, DLR, NASA, Rutherford Appleton Lab
Geographical information
• SRTM Data worldwide 3 arcsec (~90 m)
• Shaded area derived from SRTM
• Local maximum slope
Tools
• PV assessments through PVGIS Server (JRC)• Stochastical generation of test datasets for modelling
of PV system (MeteoTest)• PV Production calculator (MeteoTest)• Computation of renewable energy parameters
(NASA)
Geographical data• Source from SRTM DEM, results from specific processing. 100 meters resolution
Ratio between actual daylengthwith shadows and astronomical daylength (%)
Altitude in meters
Local maximum slope in degree
Geographical data: Hydrology and usage
• Security cooling device for Solar Plants– Need an important flow of cooling water
(typically 2 m3/s for a 12 MW Solar Plants)– Estimated cost for the linking to the Hydraulic Network Maps depends on
the linking length (typically 300 k€/km)– Need Hydraulic Network Maps
(Map scale better than 1/200 000)
Hydraulic network. Scale 1/200 000 Sample of estimated cost of hydro network linking in Keuros
Geographical data: Electricity network and usage
• Linking to High Voltage Electric Network– Estimated cost for the linking to the HV Electric Network Maps depends on
the linking length (typically 200 k€/km)– Need High Voltage Electric Network Maps
(Map scale better than 1/200 000)
Estimated cost of electric network linking KeurosElectric network. Scale 1/200 000
Environmental data
• Protected area & risk and hazard– Cope with regulation– Adequacy between the solar plant lifecycle and ROI
Protected area. Scale 1/200 000 Risk and Hazard. Scale 1/200 000
Input parameters & output result• Inputs:
– bounding box (lat., lon.), dates, scale, optional layers, valid email address
• Output results: – the geo-referenced layers (GeoTIFF, shape files) should be provided as a downloadable archive