A Fuzzy Hybrid Decision Model for Renewable Energy Sources Selection

Abstract

The energy needs of the world are increasing from day to day. The largest sources of energy currently used are fossil fuels. Non-renewable energy sources threaten the world as a result of many problems such as air, water and environmental pollution. The selection of energy sources is crucial for improving of countries. Different criteria must be evaluated simultaneously to select between renewable energy sources. In this study, a hybrid approach involving Fuzzy AHP and Fuzzy TOPSIS is suggested to select renewable energy sources. Proposed approach is presented with a case study for empirical evidence. In the case study, alternative energy sources were evaluated under four main criteria: (1) Technical, (2) Economical, (3) Environmental, (4) Social and Political. As a result of the 2-stage evaluation method including multi-criteria decision making techniques, wind energy was determined as the most suitable alternative.