The evaluation of renewable energy resources in Turkey by integer multi-objective selection problem with interval coefficient

Karaaslan A., Gezen M.

RENEWABLE ENERGY, vol.182, pp.842-854, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 182
  • Publication Date: 2022
  • Doi Number: 10.1016/j.renene.2021.10.053
  • Journal Name: RENEWABLE ENERGY
  • Journal Indexes: 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
  • Page Numbers: pp.842-854
  • Keywords: Fuzzy programming, Interval parameter, Multi-objective integer programming, Renewable energy planning, MULTICRITERIA DECISION-MAKING, ANALYTIC HIERARCHY PROCESS, MCDM APPROACH, RANKING, MODEL, SUSTAINABILITY, UNCERTAINTY, PROJECT, SYSTEMS, POLICY
  • Ataturk University Affiliated: Yes


This paper aims to provide a scientific approach that indicates the need to focus on renewable energypotential to meet energy needs in Turkey. Turkey began to take advantage of renewable energy tech-nologies a few years ago. Accordingly, the issue of determining the best renewable resources for thecountry has been brought to the agenda in recent years. The issue was considered to be a limited multi-objective optimization problem allowing us to achieve a reliable result. However, the parameter of eachresource was considered as a range value, rather than traditionally expressed as an exact value, and amulti-objective decision problem was developed with an interval coefficient. This method allows us toobtain more accurate and reliable results without the need to resort to normalization methods used toeliminate unit differences. According to the results of this study, the most convenient alternatives forTurkey are hydro, wind, and solar power. Thefindings also support decision policies aimed at reachingtargets for the electricity sector in 2023, as put forth by the Ministry of Energy and Natural Resources(MENR). (c) 2021 Elsevier Ltd. All rights reserved