Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14177
Title: A Gis-Based Fahp and Fedas Analysis Framework for Suitable Site Selection of a Hybrid Offshore Wind and Solar Power Plant
Authors: Karipoğlu, F.
Ozturk, S.
Efe, B.
Keywords: Fuzzy Analytical Hierarchy Process (FAHP)
Fuzzy Evaluation based on Distance from Average solution (FEDAS)
Geographical Information System (GIS)
Iskenderun Bay
Offshore hybrid power plant
Decision making
Geographic information systems
Hybrid systems
Information use
Offshore oil well production
Open systems
Site selection
Solar energy
Solar power plants
Wind
Fuzzy analytical hierarchy process
Fuzzy evaluation
Fuzzy evaluation based on distance from average solution
Geographical information
Geographical information system
Hybrid power plants
Iskenderun bay
Offshore hybrid power plant
Offshores
Information systems
analytical hierarchy process
fuzzy mathematics
GIS
offshore structure
photovoltaic system
solar power
wind power
Hatay
Iskenderun Bay
Turkey
Publisher: Elsevier B.V.
Abstract: This study presents a Geographic Information System (GIS) based suitable site selection methodology for a hybrid system that includes offshore wind and solar PV. The methodology utilizes open source databases about decision criteria and applies this data using GIS to determine suitable sites for offshore wind and solar PV systems. For the assessment of multi-criteria which affect the potential hybrid energy power plants and the determination of the best suitable areas, Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy Evaluation based on Distance Average Solution (FEDAS) are used in the study. Results show that technical criteria has the priority weight of 0.60 while the weight of social criteria is about 0.07. Among sub-criteria, the wind speed has the highest priority weight while distance to port and visibility are the highest criteria of priority weight under economic and social main criteria, respectively. Among the alternatives, Area 2 (A-2) is determined as the best alternative for hybrid offshore power plants in the study area. This proposed methodology can be utilized by decision-makers to determine the best suitable locations for hybrid offshore wind and solar PV systems at any location. This paper suggests a new approach integrating GIS, fuzzy setbased AHP and EDAS as a novelty. © 2023 International Energy Initiative
URI: https://doi.org/10.1016/j.esd.2023.101349
https://hdl.handle.net/11147/14177
ISSN: 0973-0826
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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