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A risk-based multi-criteria spatial decision analysis for solar power plant site selection in different climates: A case study in Iran

Shorabeh, Saman Nadizadeh, Firozjaei, Mohammad Karimi, Nematollahi, Omid, Firozjaei, Hamzeh Karimi, Jelokhani-Niaraki, Mohammadreza
Renewable energy 2019 v.143 pp. 958-973
arid zones, case studies, climatic factors, decision support systems, geographic information systems, models, multi-criteria decision making, power plants, risk, solar energy, Iran
Identifying potential locations for installation of solar power plants is a critical step in utilizing sustainable energy resources. In this study, a GIS-based Multi-Criteria Decision Analysis (GIS-MCDA) technique is used to generate maps that represent potential areas for solar power plants in four provinces with different climate conditions in Iran. The concept of risk is included in the GIS-MCDA process using the Ordered Weighted Averaging (OWA) model. The OWA model can provide various risk-taking (optimistic) and risk-aversion (pessimistic) scenarios to determine the suitable power plant areas. The results of this study indicate that provinces located in an arid climate such as Yazd contain a more suitable area for the solar power plants compared to wet climate provinces (e.g., Mazandaran). The sensitivity analysis of results show that the criterion “fault” has the minimum effect while the criteria “slope” and “road network” have the maximum effects on the area of the highly desirable class.