GEOSS AIP-5Architecture Implementation Pilot, Phase 5 - Energy Scenario-

Lionel Ménard MINES ParisTech

Lucien Wald MINES ParisTech

Supported by the FP7 ENDORSE project

Kick-off Meeting May 2012

The proposed Energy scenario:

“Generation of local atlases for decision-support in solar energy policy

planning and private investment ”

Introduction– PACA (Provence Alpes Côte d’Azur) is the sunniest

region of France– Bounding box: c. 300 km x 250 km– Mountainous zones (in particular the East part of PACA)

SRTM Digital Elevation Model ranging from -15 m to 4000 mYearly Global Irradiation on Horizontal Plane (GHI) for 2010

Scenario’s expected innovations

• Deals with the refinement in scale which will be suitable for local decisions.

• Combine irradiance and other meteorological data with data of various natures that intervene in decision-making process.

• Allow the user to get the necessary data in one request and not multiple as currently

Irradiation maps 1/3

• Source: MACC product (HelioClim-3)– Spatial resolution: c. 4 km– Temporal resolution: 15 min– Time coverage: 2004-2010

• Irradiation maps:– Mean of monthly and yearly sums of irradiations– The direct (beam), diffuse and global components– Orientation: horizontal, normal incidence and a set of pre-computed plane

“standard” orientations

• Need of improvements:– Spatial resolution improvement on PACA to account for high resolution

effects of orography (optical path variation, shadows and sky-view fraction effects)

– Validation and uncertainty analysis of the resulting monthly sums of irradiations with pyranometric ground stations

Irradiation maps 2/3Overview of the solar processing (downscaling + calibration)

Monthly and yearly sum of GHI map (kWh/m2) for Europe from HelioClim databases (res. ~5 km, method Heliosat-2 applied to Meteosat Second Generation images)

-20 -10 0 10 20 30 4035

40

45

50

55

1000

1200

1400

1600

1800

2000

2200

2400

High resolution (200 m) monthly and yearly sums of irradiations (kWh/m2) for the region PACA

GHI

DHI

BNI

•Downscaling GHI map•Irradiation components on tilted plane (Ruiz-Arias et al. 2011)

•Downscaling GHI map•Irradiation components on tilted plane (Ruiz-Arias et al. 2011)

Local horizon computationLocal horizon computation

Calibration with 20 ground stations of Météo-France and 3 dedicated ground stations (RSP*)

Calibration with 20 ground stations of Météo-France and 3 dedicated ground stations (RSP*)

Raw HC-3Raw HC-3

Do

wn

scaled an

d

calibrated

HC

-3D

ow

nscaled

and

calib

rated H

C-3

* RSP: rotating shadowed pyranometer

SRTM: 100 m DEMSRTM: 100 m DEM

Irradiation maps 3/3Example of a high resolution irradiation map

Map of yearly sums of GHI (mean between 2004 –2010)

Additional GIS layers for solar energy usages

8

Territorial unitsTerritorial units

District unitsDistrict units Natural reservesNatural reserves

Flood risksFlood risks

DEM SlopesDEM Slopes

Land-useCorrine Land Cover 2006Land-useCorrine Land Cover 2006

DEM AspectsDEM Aspects

Distance to electric source pointsDistance to electric source points

High resolution air temperature(to be integrated)High resolution air temperature(to be integrated)

Wind speed (6 classes)Wind speed (6 classes)

Air temperature from NCEP(Average of monthly means)Air temperature from NCEP(Average of monthly means)DEM AltitudesDEM Altitudes

Issues tackled with a high resolution atlasesTargeted users: Policy planners, consulting companies

Slide 9 – March 2010

• Improve accuracy from existing databases to assess the potential of solar energy in a focused area of interest (improvement range from 3 km to 200 m)

• Relate this information to other types of geographical information, e.g., physical and administrative

• Provide computer-aided method for decision making, (eg. desktop or Web based GIS applications)

• Provide recent information, of known quality and uncertainty, spanning over several years and easily accessible

• Develop a replicable and scientifically-validated methods for creation of such atlases within the ENDORSE project.

Contributed services and components

• MINES ParisTech

– Irradiation maps (GHI, DNI, BHI)

– Elevation and Slopes from SRTM DEM

• Ministère de l’Écologie, du Développement Durable, des Transports et du Logement

– Land Cover from Corine Land Cover 06 (CLC06)

– Wind speed classification (10 meters high mean speed) from CARMEN DREAL

• Institut national de l’information géographique et forestière (IGN)

– Natural and protected areas, administrative limits from GEOFLA® database

• Università degli Studi di Genova (UNIGE)

– Air temperature at 2-meter height. Point-wise uncertainty in air-temperature mapping

Map layers (OGC WMS/WFS)

Contributed services and components

• GeoServer for map layers: OGC Web services (WMS, WFS)• OGC CSW Catalogue (GeoNetwork)

• ISO 19119 Metadata• Register catalogue in the GEOSS registry

• Web GIS Client to support easy visualization (OpenLayers)

GEOSS/GCI compatible components

Work Plan

• June: Finalize scenario data layers inputs (WMS)• July: Finalize Metadata creation and CSW Catalogue• September: Finalize the WebGIS Client

– Client ready for testing– Demo capture