A novel method for the site selection of large-scale PV farms by using AHP and GIS: A case study in İzmir, Türkiye

Demir A., Dinçer A. E., Yılmaz K.

Solar Energy, vol.259, pp.235-245, 2023 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 259
  • Publication Date: 2023
  • Doi Number: 10.1016/j.solener.2023.05.031
  • Journal Name: Solar Energy
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, Geobase, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.235-245
  • Keywords: AHP, GIS, Large-scale PV site selection, Photovoltaic plants, Site selection, Solar PV
  • Abdullah Gül University Affiliated: Yes


Effective and sustainable climate-friendly policies to reduce carbon dioxide emissions in line with the 2020 European Green Deal are necessary. Accordingly, renewable energies assumed a critical role, rendering the site selection of these systems very crucial. The present study proposes a novel approach to the site selection of large-scale photovoltaic (PV) plants using a combination of analytic hierarchy process (AHP) and geographic information system (GIS). In the study, the weights of criteria used for selecting solar PV panels are adjusted according to the installed capacity of the PV plant. The land of cost is included as a criterion in the AHP for the first time in PV plant site selection. Besides, a novel method called optimality-based site growing (OBSG) is introduced to further analyze the suitable sites obtained from GIS simulations and to determine the most suitable locations of PV farms. The proposed method is demonstrated with a case study of Türkiye, and the results show that the method effectively determines the most suitable locations for large-scale PV plants.