A multi-objective decision-making model for renewable energy planning: The case of Turkey

Horasan M. B., KILIÇ H. S.

RENEWABLE ENERGY, cilt.193, ss.484-504, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 193
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.renene.2022.04.158
  • 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.484-504
  • Anahtar Kelimeler: Energy planning, Renewable energy, Multi-objective decision-making, Two-phase fuzzy goal programming, Lexicographic method, Goal programming, WAREHOUSE LOCATION SELECTION, ANALYTIC HIERARCHY PROCESS, GOAL PROGRAMMING-MODEL, ELECTRICITY-GENERATION, FUZZY AHP, MULTICRITERIA APPROACH, MULTIPLE CRITERIA, 2-PHASE APPROACH, REGIONAL LEVEL, OPTIMIZATION
  • Marmara Üniversitesi Adresli: Evet

Özet

The rapid increase in the world population along with the rising trend of global economic growth triggers serious problems related to energy consumption. In this regard, a comprehensive analysis of the current and potential energy situation in the light of demographic trends, main economic indicators, technical conditions, social and environmental concerns has become a significant issue for developing well-planned global and regional energy strategies. In this study, a multi-objective decision-making model is constructed for renewable energy planning to determine the most appropriate resource diversity for Turkey by focusing on five renewable energy sources, namely solar, wind, geothermal, hydroelectric, and biomass. There are four objective functions presented in the proposed multi-objective model including maximization of the technical score of regions, maximization of the job creation, maximization of the environmental score, and minimization of the cost. As a solution methodology, a two-phase fuzzy goal programming approach is performed. The proposed model is solved using LINGO software as a comprehensive solver for model optimization. The appropriateness of the proposed method is analyzed by comparing it with other multi-objective methods. Results reveal that the majority of the energy demand should be met via solar and hydroelectric energies for the satisfaction of the indicated objectives. (c) 2022 Elsevier Ltd. All rights reserved.