Benefit of GEOSS Interoperability in Assessment of Environmental Impacts Illustrated by the Case of Photovoltaic Systems

Assessment of environmental impacts of a power system exploiting a renewable energy needs a large number of geographically-dependent data and of technological data. These data are located in various sources and available in various formats. To avoid the burden of data collection and reformatting, we exploit the interoperability capabilities set up in GEOSS and combine them with other GEOSS-compliant components proposed by projects funded by the European Commission. This is illustrated by the case of photovoltaic systems. A Web-based tool links the various sources of data and executes several models to offer various impacts factors in different areas: human health, climate change, primary energy, and ecosystems.

[1]  Thierry Ranchin Earth observation for monitoring and assessment of the environmental impact of energy use , 2012 .

[2]  Thierry Ranchin,et al.  Environmental impact assessment of electricity production by photovoltaic system using GEOSS recommendations on interoperability , 2011, EnviroInfo.

[3]  Manfred Lenzen,et al.  Renewable Energy Sources and Climate Change Mitigation: Methodology , 2011 .

[4]  Stefano Nativi,et al.  Geo-processing in cyberinfrastructure: making the web an easy to use geospatial computational platform , 2011 .

[5]  Gregory A. Keoleian,et al.  Parameters affecting the life cycle performance of PV technologies and systems , 2007 .

[6]  Lucien Wald,et al.  The HelioClim Project: Surface Solar Irradiance Data for Climate Applications , 2011, Remote. Sens..

[7]  Reinout Heijungs,et al.  Identification of key issues for further investigation in improving the reliability of life-cycle assessments , 1996 .

[8]  Konrad Hungerbühler,et al.  Uncertainty analysis in life cycle inventory. Application to the production of electricity with French coal power plants , 2000 .

[9]  Bernd Möller,et al.  Continuous spatial modelling to analyse planning and economic consequences of offshore wind energy , 2011 .

[10]  J. Munksgaard,et al.  Energy and CO2 life-cycle analyses of wind turbines—review and applications , 2002 .

[11]  Robert Ries,et al.  Characterizing, Propagating, and Analyzing Uncertainty in Life‐Cycle Assessment: A Survey of Quantitative Approaches , 2007 .

[12]  Giovanni Gualtieri,et al.  A GIS-based interactive web decision support system for planning wind farms in Tuscany (Italy) , 2011 .

[13]  M. McElroy,et al.  Potential for Wind-Generated Electricity in China , 2009, Science.

[14]  Stefano Nativi,et al.  The GEOSS Interoperability Process Pilot Project (IP3) , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Didier Beloin-Saint-Pierre,et al.  Espace-PV: Key Sensitive Parameters for Environmental Impacts of Grid-Connected PV Systems With LCA , 2008 .

[16]  M. J. de Wild Scholten,et al.  Life Cycle Assessment of Photovoltaics: update of ecoinvent data V2.0 , 2008 .

[17]  Beata Sliz-Szkliniarz,et al.  GIS-based approach for the evaluation of wind energy potential: A case study for the Kujawsko–Pomorskie Voivodeship , 2011 .