Using a web-based SDSS for siting solar power plants
| dc.contributor.author | Wanderer, Thomas | |
| dc.contributor.author | Herle, Stefan | |
| dc.contributor.editor | Page, Bernd | |
| dc.contributor.editor | Fleischer, Andreas G. | |
| dc.contributor.editor | Göbel, Johannes | |
| dc.contributor.editor | Wohlgemuth, Volker | |
| dc.date.accessioned | 2019-09-16T03:13:22Z | |
| dc.date.available | 2019-09-16T03:13:22Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | 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. | de |
| dc.description.uri | http://enviroinfo.eu/sites/default/files/pdfs/vol7995/0100.pdf | de |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/25832 | |
| dc.publisher | Shaker Verlag | |
| dc.relation.ispartof | Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management | |
| dc.relation.ispartofseries | EnviroInfo | |
| dc.title | Using a web-based SDSS for siting solar power plants | de |
| dc.type | Text/Conference Paper | |
| gi.citation.publisherPlace | Aachen | |
| gi.conference.date | 2013 | |
| gi.conference.location | Hamburg | |
| gi.conference.sessiontitle | Web services for assessment of Resources and Impacts of Renewable Energies (EnerGEO/ENDORSE) |