Floating photovoltaic site selection using fuzzy rough numbers based LAAW and RAFSI model

Deveci M., Pamucar D., OĞUZ E.

APPLIED ENERGY, cilt.324, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 324
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.apenergy.2022.119597
  • Dergi Adı: APPLIED ENERGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Biotechnology Research Abstracts, CAB Abstracts, Communication Abstracts, Environment Index, INSPEC, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Renewable energy, Floating Photovoltaic, Site selection, Fuzzy rough numbers, Multi-criteria decision making, SOLAR-RADIATION, POWER-PLANTS, TURKEY, ENERGY
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

This study presents a quantitative methodology for Floating Photovoltaic (FPV) power plant site selection in Turkey using Geographical Information Systems (GIS) and fuzzy sets, which is one of the Multi-Criteria Decision Making (MCDM) methods. In this study, we propose a new hybrid framework which combines fuzzy rough number (FRN) based decision making model including LAAW (Logarithmic Additive Assessment of the Weight coefficients) and RAFSI (Ranking of Alternatives through Functional mapping of criterion subintervals into a Single Interval). The fuzzy rough number is applied for handling the uncertainty and inaccuracy of experts' opinions in the evaluation process. Firstly, FRN based LAAW method is used to determine the weighting co-efficients of the criteria. Secondly, FRN based RAFSI method is used to rank the alternatives. The proposed decision making model is applied to determine feasible site for Floating Photovoltaic (FPV) system in Southern part of Turkey. Out of the five alternative sites, Manavgat -Antalya is concluded to be the most suitable site, and the second-best alternative is Goksun-Karaman. The results show the rationality and applicability of the pro-posed model.