Potential survey of photovoltaic power plants using Analytical Hierarchy Process (AHP) method in Iran

Mostafa Azizkhani, Abdullah Vakili, Younes Noorollahi and Farzin Naseri

Renewable and Sustainable Energy Reviews, 2017, vol. 75, issue C, 1198-1206

Abstract: Solar energy plays a crucial and high-priority role in protecting and maintaining our future environment. One of the most important and outstanding factor in building a power plant is how to choose the appropriate and suitable site for solar power plants. The purpose of this research is to investigate the most felicitous locations in order to establish the photovoltaic power stations in Iran.it is highly recommended to closely consider the economical and geographical conditions. The required data were mostly obtained from satellite images and ground measurements. The principle in this paper forms some effective factors made up of in site selection and developed some guidelines about how to divide them into four categories including the value of solar radiation on earth's surface, the economic features, the technical factors and geographical considerations. It is extremely necessary to recognize the need to closely examine an important issue that these factors were analyzed and weighted by Analytical Hierarchy Process (AHP) and then the potential map was extracted. An understanding and appreciation of results represent appropriate locations namely Fars and Sistan and Baluchistan provinces which have higher potential to build Photovoltaic power plants. Ultimately, through research, it has been developed a model and map with maximum efficiency for gaining a deeper understanding of the most suitable location for the fixed panel power plant which was obtained.

Keywords: Photovoltaic; Geographic information system; Remote sensing; Analytical Hierarchy Process (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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DOI: 10.1016/j.rser.2016.11.103

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