Prioritization of renewable energy resources using intuitionistic fuzzy AHP and VIKOR methods: TR33 region example

Growing economies and the increasing world population increase electricity demand, one of the most important requirements of social and economic life. A large part of electricity generation is provided by fossil fuels, which brings environmental problems. Various initiatives are being taken around the world to overcome ecological problems. The last of these initiatives is the Paris Climate Agreement, in which Türkiye recently became a party. In accordance with this agreement, Türkiye is carrying out studies towards the net-zero carbon target in line with the 2030 interim target and the 2053 final target. Within the scope of studies carried out in the energy field, it aims to reduce carbon emission levels by increasing the installed capacity of renewable energy. The subject of this study is prioritizing renewable energy resources for the TR33 Region covering Manisa, Uşak, Kütahya and Afyonkarahisar provinces. An integrated methodology is used to prioritize energy resources. In this study, the Intuitionistic Fuzzy AHP method was applied to determine criteria weights, after which the Intuitionistic Fuzzy VIKOR method was used to rank the energy alternatives. In the study, five main criteria and 17 sub-criteria related to these main criteria were used, and five renewable energy alternatives were evaluated. The research outcomes reveal that geothermal energy represents the optimal renewable alternative for the region, followed sequentially by biomass, hydroelectric, wind, and solar sources.