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An integrated GIS-based Ordered Weighted Averaging Analysis for Solar Energy Evaluation in Iran: Current Conditions and Future Planning
Renewable Energy ( IF 9.0 ) Pub Date : 2019-06-01 , DOI: 10.1016/j.renene.2018.09.090
Mohammad Karimi Firozjaei , Omid Nematollahi , Naeim Mijani , Saman Nadizadeh Shorabeh , Hamzeh Karimi Firozjaei , Ara Toomanian

Solar energy is one of the important energy sources and countries have realized the important role of renewable energies due to the depletion of conventional energy sources. In this study, a GIS-based analysis is utilized for investigating the feasibility of solar energy in Iran. To evaluate the concept of risk into the GIS-based analysis for determining optimal areas for installation of solar power plants an Ordered Weighted Averaging (OWA) approach is used for the first time. Integration of OWA-based approach and GIS analysis provide models that determine the priority of regions from risk-free decision to risky decision strategies. The results show that Kerman, Yazd, Fars, Khuzestan, Sistan and Baluchistan, South Khorasan and Isfahan provinces have a good capacity to invest in solar energy projects. The GIS-based analysis indicates that the values of installed solar power plants percentages in high chosen areas for the most pessimistic and optimistic strategies are 7% and 64%, respectively.

中文翻译:

用于伊朗太阳能评估的基于 GIS 的综合有序加权平均分析:现状和未来规划

太阳能是重要的能源之一,由于传统能源的枯竭,各国已经意识到可再生能源的重要作用。在这项研究中,基于 GIS 的分析被用于调查伊朗太阳能的可行性。为了在基于 GIS 的分析中评估风险概念,以确定安装太阳能发电厂的最佳区域,首次使用了有序加权平均 (OWA) 方法。基于 OWA 的方法和 GIS 分析的集成提供了确定从无风险决策到风险决策策略的区域优先级的模型。结果表明,克尔曼省、亚兹德省、法尔斯省、胡齐斯坦省、锡斯坦省和俾路支省、南呼罗珊省和伊斯法罕省具有良好的太阳能项目投资能力。
更新日期:2019-06-01
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