4.5 Article

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

期刊

ENERGIES
卷 14, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/en14040865

关键词

Canary Islands; floating wind farm; multicriteria decision making; offshore wind; site selection; spatial energy planning

资金

  1. European Regional Development Fund through the Interreg Atlantic Area Programme [EAPA 344/2016]
  2. Portuguese Foundation for Science and Technology (Fundacao para a Ciencia e Tecnologia-FCT) [UIDB/UIDP/00134/2020]

向作者/读者索取更多资源

This study presents a methodology for floating wind farms site selection using GIS and MCDMs, with a focus on eliminating subjectivity through AHP. The comparison with other methods shows the effectiveness of AHP in creating a realistic and objective overview for site selection, contributing to minimizing environmental impacts and reducing social conflicts among stakeholders.
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 Realite (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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