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