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Original scientific paper

https://doi.org/10.21278/brod75204

GIS-based floating offshore wind turbine installation site selection using fuzzy analytic hierarchy process in northeast Aegean Sea

Selahattin Alp Erkurtulmus orcid id orcid.org/0000-0001-5129-7228 ; Yalova University, Altinova Vocational School, Naval Architecture Program, Yalova, Turkey *
Emre Pesman ; Karadeniz Technical University, Surmene Faculty of Marine Sciences, Naval Architecture and Marine Engineering, Trabzon, Turkey

* Corresponding author.


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Abstract

The ever-increasing consumption of electrical energy due to increasing requirements arising in parallel with the developing technology forces manufactures and users to seek new and environmentally compatible energy resources. Due to it endless energy potential and continuity, wind energy, which has been used by humanity for various purposes for centuries, continues its journey, which started with windmills that transform one form of mechanical energy into another, with offshore wind energy turbines. In this study, installation site selection, which is the first step for floating offshore wind turbine installation, is carried out. First, a Fuzzy Analytic Hierarchy Process (F-AHP) is applied to obtain the weights of criteria. Transformed alternatives and criteria in a fuzzy decision matrix through triangular fuzzy numbers are used to obtain a database via a Geographic Information System (GIS). Finally, the installation site and study area are determined. This area is located in the Northeast Aegean Sea, between Çanakkale and Gökçeada, 12 km to the northeast of Gökçeada, and 12 square kilometers. The minimum distance of the area to ship routes is 3000 m, and its minimum distance to fault lines is 2000 m. The average sea depth is 110 m, and the average wind speed is 9.26 m/s (18 knots). With this potential, enough energy can be generated for settlements on Gökçeada and the coastlines.

Keywords

Floating offshore wind turbine; Fuzzy Analytic Hierarchy Process (F-AHP); Geographic Information System (GIS); Gökçeada; North Aegean Sea

Hrčak ID:

316167

URI

https://hrcak.srce.hr/316167

Publication date:

1.4.2024.

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