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

Author

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  • Hugo Díaz

    (Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, 1000 Lisbon, Portugal)

  • Carlos Guedes Soares

    (Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, 1000 Lisbon, Portugal)

Abstract

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.

Suggested Citation

  • Hugo Díaz & Carlos Guedes Soares, 2021. "A Multi-Criteria Approach to Evaluate Floating Offshore Wind Farms Siting in the Canary Islands (Spain)," Energies, MDPI, vol. 14(4), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:865-:d:495214
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    References listed on IDEAS

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    1. Díaz, H. & Silva, D. & Bernardo, C. & Guedes Soares, C., 2023. "Micro sitting of floating wind turbines in a wind farm using a multi-criteria framework," Renewable Energy, Elsevier, vol. 204(C), pages 449-474.
    2. Putuhena, Hugo & White, David & Gourvenec, Susan & Sturt, Fraser, 2023. "Finding space for offshore wind to support net zero: A methodology to assess spatial constraints and future scenarios, illustrated by a UK case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    3. Salvação, Nadia & Bentamy, Abderrahim & Guedes Soares, C., 2022. "Developing a new wind dataset by blending satellite data and WRF model wind predictions," Renewable Energy, Elsevier, vol. 198(C), pages 283-295.
    4. Charalampos Baniotopoulos, 2022. "Advances in Floating Wind Energy Converters," Energies, MDPI, vol. 15(15), pages 1-3, August.
    5. Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), 2021. "Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability," Proceedings of the Hamburg International Conference of Logistics (HICL), Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management, volume 32, number 32.
    6. Artur Amsharuk & Grażyna Łaska, 2023. "The Approach to Finding Locations for Wind Farms Using GIS and MCDA: Case Study Based on Podlaskie Voivodeship, Poland," Energies, MDPI, vol. 16(20), pages 1-24, October.
    7. Adam Kaizer & Tomasz Neumann, 2021. "The Model of Support for the Decision-Making Process, While Organizing Dredging Works in the Ports," Energies, MDPI, vol. 14(9), pages 1-15, May.
    8. Weigell, Jürgen & Jahn, Carlos, 2021. "Literature review of installation logistics for floating offshore wind turbines," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 599-622, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    9. Hugo Díaz & C. Guedes Soares, 2022. "Multicriteria Decision Approach to the Design of Floating Wind Farm Export Cables," Energies, MDPI, vol. 15(18), pages 1-18, September.
    10. Tomasz Neumann, 2021. "Comparative Analysis of Long-Distance Transportation with the Example of Sea and Rail Transport," Energies, MDPI, vol. 14(6), pages 1-13, March.
    11. Choupin, Ophelie & Del Río-Gamero, B. & Schallenberg-Rodríguez, Julieta & Yánez-Rosales, Pablo, 2022. "Integration of assessment-methods for wave renewable energy: Resource and installation feasibility," Renewable Energy, Elsevier, vol. 185(C), pages 455-482.
    12. Ualison Rébula De Oliveira & Hilda Anatiely Donato Souza & Carlos Augusto Gabriel Menezes & Henrique Martins Rocha, 2023. "Straightening machine preventive maintenance intervention plan based on AHP: a case study in a steel company in Brazil," Operations Management Research, Springer, vol. 16(3), pages 1577-1593, September.
    13. Ayough, Ashkan & Boshruei, Setareh & Khorshidvand, Behrooz, 2022. "A new interactive method based on multi-criteria preference degree functions for solar power plant site selection," Renewable Energy, Elsevier, vol. 195(C), pages 1165-1173.

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