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

被引：266

作者：

Charabi, Yassine ^{[1
]}

Gastli, Adel ^{[2
]}

机构：

[1] Sultan Qaboos Univ, Dept Geog, Coll Arts, Muscat 123, Oman

[2] Sultan Qaboos Univ, Dept Elect & Comp Engn, Coll Engn, Muscat 123, Oman

来源：

RENEWABLE ENERGY | 2011年 / 36卷 / 09期

关键词：

FLOWA; Prospect; Photovoltaic; Solar map; Solar power; Solar radiation; DECISION-SUPPORT-SYSTEM; OWA; QUANTIFIERS; EXTENSION; OPERATORS;

D O I：

10.1016/j.renene.2010.10.037

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：2554 / 2561

页数：8

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