Multi-Criteria Decision Methods for Selecting a Wind Farm Site Using a Geographic Information System (GIS)

Rahim Moltames, Mohammad Sajad Naghavi, Mahyar Silakhori (), Younes Noorollahi, Hossein Yousefi (), Mostafa Hajiaghaei-Keshteli and Behzad Azizimehr
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Rahim Moltames: Energy Modelling and Sustainable Energy System (METSAP) Research Lab., Faculty of New Sciences and Technologies, University of Tehran, Tehran 1439956191, Iran
Mohammad Sajad Naghavi: Energy Modelling and Sustainable Energy System (METSAP) Research Lab., Faculty of New Sciences and Technologies, University of Tehran, Tehran 1439956191, Iran
Mahyar Silakhori: Centre for Energy Technology, School of Mechanical Engineering, The University of Adelaide, Adelaide, SA 5005, Australia
Younes Noorollahi: Energy Modelling and Sustainable Energy System (METSAP) Research Lab., Faculty of New Sciences and Technologies, University of Tehran, Tehran 1439956191, Iran
Hossein Yousefi: Energy Modelling and Sustainable Energy System (METSAP) Research Lab., Faculty of New Sciences and Technologies, University of Tehran, Tehran 1439956191, Iran
Mostafa Hajiaghaei-Keshteli: Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Puebla 4500, Mexico
Behzad Azizimehr: Faculty of Engineering, Islamic Azad University West Tehran Branch, Tehran 1468763785, Iran

Sustainability, 2022, vol. 14, issue 22, 1-19

Abstract: Wind energy is an economically, technically, and environmentally attractive option due to its cheapness and availability in different regions. The most important obstacle to developing renewable resources in Iran is subsidies for fossil fuels. The Iranian government has recently decided to reduce subsidies for electricity and fossil fuels, which has led to an increase in the prices of fossil fuels and electricity and makes renewable technologies more attractive to use. This study uses a multi-criteria decision method to identify wind energy potential in Khuzestan province. A GIS is used to determine the wind energy potential in this province. The technical, environmental, and economic criteria, which are a total of 14 layers of information, were examined by considering different values for each and from a Boolean point of view. The results show that, from the economic point of view, Shadegan city has the most potential and, from the technical point of view, Khorramshahr city has the highest amount of electricity production through wind energy. Furthermore, Dasht-e Azadegan city, due to its population, can supply the maximum amount of electricity it needs through wind energy. Among the three 550, 2500, and 8000 kW turbines, the 550 kW turbine has the most potential in the region.

Keywords: wind energy; GIS; site selection; multi-criteria decision method; windfarm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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