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The collocation feasibility index – A method for selecting sites for co-located wave and wind farms

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  • Astariz, S.
  • Iglesias, G.

Abstract

Marine energy is one of the most promising solutions to attempt the ambitious renewable energy target of 20% by 2020 due to its very substantial energy resource. However, it is often considered uneconomical and difficult, and this may hinder its development. Combined energy systems, such as co-located offshore wind turbines and wave energy converters, have recently emerged as a solution to increase the competitiveness of marine energy by taking advantage of the synergies between renewables; which would lead to reductions in the energy cost and improvements in the power output variability and security. On this basis, finding viable locations for combined offshore renewable energies is fundamental to boosting their development. The objective of this paper is to determine suitable locations for deploying a co-located wind and wave energy farm in the North Sea - an area with several characteristics that make large-scale integration of renewable energy sources attractive. In this assessment we investigate not only the existing resource but also other parameters such as its variability and the correlation between waves and winds by means of the CLF index. In addition, inter- and intra-national user conflicts are considered, while balancing environmental conservation and economic development.

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  • Astariz, S. & Iglesias, G., 2017. "The collocation feasibility index – A method for selecting sites for co-located wave and wind farms," Renewable Energy, Elsevier, vol. 103(C), pages 811-824.
    • Handle: RePEc:eee:renene:v:103:y:2017:i:c:p:811-824
    DOI: 10.1016/j.renene.2016.11.014
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    Cited by:

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    2. Cuadra, L. & Ocampo-Estrella, I. & Alexandre, E. & Salcedo-Sanz, S., 2019. "A study on the impact of easements in the deployment of wind farms near airport facilities," Renewable Energy, Elsevier, vol. 135(C), pages 566-588.
    3. Ribeiro, A.S. & deCastro, M. & Costoya, X. & Rusu, Liliana & Dias, J.M. & Gomez-Gesteira, M., 2021. "A Delphi method to classify wave energy resource for the 21st century: Application to the NW Iberian Peninsula," Energy, Elsevier, vol. 235(C).
    4. Américo S. Ribeiro & Maite deCastro & Liliana Rusu & Mariana Bernardino & João M. Dias & Moncho Gomez-Gesteira, 2020. "Evaluating the Future Efficiency of Wave Energy Converters along the NW Coast of the Iberian Peninsula," Energies, MDPI, vol. 13(14), pages 1-15, July.
    5. Rusu, Eugen & Onea, Florin, 2019. "An assessment of the wind and wave power potential in the island environment," Energy, Elsevier, vol. 175(C), pages 830-846.
    6. Wen, Yi & Kamranzad, Bahareh & Lin, Pengzhi, 2022. "Joint exploitation potential of offshore wind and wave energy along the south and southeast coasts of China," Energy, Elsevier, vol. 249(C).
    7. Şan, Murat & Akpınar, Adem & Bingölbali, Bilal & Kankal, Murat, 2021. "Geo-spatial multi-criteria evaluation of wave energy exploitation in a semi-enclosed sea," Energy, Elsevier, vol. 214(C).
    8. Zheng, Siming & Zhang, Yongliang & Iglesias, Gregorio, 2020. "Power capture performance of hybrid wave farms combining different wave energy conversion technologies: The H-factor," Energy, Elsevier, vol. 204(C).

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