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PV site suitability analysis using GIS-based spatial fuzzy multi-criteria evaluation

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  • Charabi, Yassine
  • Gastli, Adel

Abstract

This paper presents some preliminary results from a research study conducted on solar energy resource assessment in Oman. GIS-based spatial multi-criteria evaluation approach, in terms of the FLOWA module was used to assess the land suitability for large PV farms implementation in Oman. The tool used applies fuzzy quantifiers within ArcGIS environment allowing the integration of a multi-criteria decision analysis. Land suitability analysis for large PV farms implementation was carried out for the case study of Oman. The overlay results obtained from the analysis of the resultant maps showed that 0.5% of the total land area demonstrate a high suitability level. Different PV technologies were considered for implementation. It was found that the CPV technology provides very high technical potential for implementing large solar plants. In fact, if all highly suitable land is completely exploited for CPV implementation, it can produce almost 45.5 times the present total power demand in Oman.

Suggested Citation

  • Charabi, Yassine & Gastli, Adel, 2011. "PV site suitability analysis using GIS-based spatial fuzzy multi-criteria evaluation," Renewable Energy, Elsevier, vol. 36(9), pages 2554-2561.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:9:p:2554-2561
    DOI: 10.1016/j.renene.2010.10.037
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    References listed on IDEAS

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    1. Gastli, Adel & Charabi, Yassine, 2010. "Solar electricity prospects in Oman using GIS-based solar radiation maps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 790-797, February.
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    4. Jacek Malczewski & Claus Rinner, 2005. "Exploring multicriteria decision strategies in GIS with linguistic quantifiers: A case study of residential quality evaluation," Journal of Geographical Systems, Springer, vol. 7(2), pages 249-268, June.
    5. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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