Ranking of renewable energy sources for regions in Turkey by fuzzy entropy based fuzzy COPRAS and fuzzy MULTIMOORA

ALKAN Ö., Albayrak O. K.

RENEWABLE ENERGY, cilt.162, ss.712-726, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 162
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.renene.2020.08.062
  • Dergi Adı: RENEWABLE ENERGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Compendex, Environment Index, Geobase, Greenfile, Index Islamicus, INSPEC, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, DIALNET, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.712-726
  • Anahtar Kelimeler: Renewable energy, Fuzzy entropi, Multi-criteria decision making, Fuzzy COPRAS, Fuzzy MULTIMOORA, Turkey, DECISION-MAKING APPROACH, ELECTRICITY-GENERATION, MULTICRITERIA ANALYSIS, POWER-PLANTS, TECHNOLOGIES, SELECTION, RESOURCES, EVALUATE, OPTIONS, PERIOD
  • Atatürk Üniversitesi Adresli: Evet

Özet

The primary purpose of the study is to rank and evaluate renewable energy sources that are the only alternative of non-renewable energy sources, according to twenty-six regions in Turkey. Multi-criteria decision making methods are widely employed in the solution of energy selection problems because energy selection problems contain many criteria contradicting each other. In this study, the importance levels weights of the evaluation criteria were measured by the Fuzzy Entropy method. Later, with the Fuzzy COPRAS and Fuzzy MULTIMOORA methods, renewable energy sources alternative rankings were acquired for the regions. According to the fuzzy COPRAS results in Appendix 2, the hydroelectric energy source has been defined as the suitable renewable energy source alternative for seventeen regions. According to the fuzzy MULTIMOORA results in Appendix 2, the hydroelectric energy source has been determined as the suitable renewable energy source alternative in the first rank for eighteen regions. With this study, a resource is presented to regional investors to reach an investment decision for renewable energy sources. This study constitutes an indication for development agencies along with investors. (C) 2020 Elsevier Ltd. All rights reserved.