scholarly journals Offshore Wind Farms: A Fuzzy Approach to Site Selection in a Black Sea Region

2020 ◽  
Author(s):  
Muhammet Deveci ◽  
Ender Ozcan ◽  
Robert John
Keyword(s):  
Black Sea ◽  
Site Selection ◽  
Wind Farms ◽  
Offshore Wind ◽  
Fuzzy Approach ◽  
Offshore Wind Farms ◽  
Black Sea Region

Suitable site selection for offshore wind farms in Turkey’s seas: GIS-MCDM based approach

2021 ◽  
Author(s):  
Mustafa Serdar Genç ◽  
Fatih Karipoğlu ◽  
Kemal Koca ◽  
Şükrü Taner Azgın
Keyword(s):  
Site Selection ◽  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farms ◽  
Suitable Site ◽  
Selection For

scholarly journals A Multi-Criteria Approach to Evaluate Floating Offshore Wind Farms Siting in the Canary Islands (Spain)

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 865
Author(s):  
Hugo Díaz ◽  
Carlos Guedes Soares
Keyword(s):  
Canary Islands ◽  
Site Selection ◽  
Geographical Information Systems ◽  
Wind Farm ◽  
Wind Farms ◽  
Offshore Wind ◽  
Geographical Information ◽  
Preference Ranking ◽  
Offshore Wind Farms ◽  
Decision Methods

The study presents a methodology for floating wind farms site selection with a Canary Islands case study. The frame combines geographical information systems (GIS) and multiple criteria decision methods (MCDMs). First, the problematic areas for the installation of the turbines are identified through a GIS database application. This tool generates thematic layers representing exclusion criteria. Then, at the second stage of the study, available maritime locations are analyzed and ranked using the analytical hierarchy process (AHP), based on technical, economic, and environmental aspects. AHP’s technique guarantee the elimination of the judgment’s subjectivity. The study also compared the solutions of the AHP technique with other methods, such as Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE III), Technique for Order Preferences by Similarity to Ideal Solution (TOPSIS) and Weighted Sum Algorithm (WSA(). The main result of this study is the creation of a realistic and objective overview of floating offshore wind farm site selection and the contribution to minimize the environmental impacts and to reduce the social conflicts between stakeholders.

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