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Using a web-based SDSS for siting solar power plants
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Datum
2013
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Shaker Verlag
Zusammenfassung
In the global energy turnaround towards renewable clean systems the optimal exploitation of natural resources
becomes more important. Several spatial decision problems arise in this context, which are usually
faced by Spatial Decision Support Systems (SDSS) and Geographic Information Systems (GIS). This
holds especially for the deployment of solar power stations which depends on a variety of different spatial
factors like the solar radiation. The paper demonstrates the application of a GIS-based spatial Multi-
Criteria Decision Analysis (MCDA) approach to assess sites suitability for utility-scale solar power plants
by implementing and evaluating a Site Ranking tool. The tool integrates accepted spatial MCDA methods
to facilitate well-founded siting decisions. Since it is mounted in a service-oriented architecture (SOA) using
common Web standards, the features are accessible to a broad range of users via a WebGIS client. In
addition, the evaluation of the tool is performed by two conducted case studies trying to match and explain
the current spatial distribution of existing solar power plants in the study areas. It becomes evident that
spatial MCDA is an adequate approach to solve site selection problems for solar power plants even if the
spatial distribution of solar installations cannot be confirmed by the resulting suitability maps in the case
studies. Different sources of error and uncertainty can be identified which should be investigated and tackled
in the future. Nevertheless, the prototype of the tool provides a sound basis for integrating further capabilities.