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Identifying space for offshore wind energy in the North Sea. Consequences of scenario calculations for interactions with other marine uses

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  • Jongbloed, R.H.
  • van der Wal, J.T.
  • Lindeboom, H.J.

Abstract

The increasing demand for renewable energy drives the development of offshore wind energy (OWE) leading to competing claims with other human and nature related uses of the North Sea. This paper investigates possibilities to identify space for new OWE while minimising effects on other uses. An inventory is made of the major uses in the Central and Southern North Sea, including the expected development towards 2030. The spatial distribution of non-wind uses is determined as well as the possibilities for differentiation based on density, economic value or nature value and co-existence. These possibilities are translated into calculation rules quantifying the relative importance. These calculation rules have been incorporated in a Decision Support System (DSS) to analyse how the priority of OWE development could impact non-wind uses. In a low OWE priority scenario consequences for other use was found to be very limited, with fisheries and wildlife affected most. In a high OWE priority scenario a considerable amount of OWE may be developed with substantial claims on sand extraction and military use areas and a shift towards higher value categories for shipping and fisheries. Relocation and co-existence of uses are important means to reduce the impact of increased OWE development.

Suggested Citation

  • Jongbloed, R.H. & van der Wal, J.T. & Lindeboom, H.J., 2014. "Identifying space for offshore wind energy in the North Sea. Consequences of scenario calculations for interactions with other marine uses," Energy Policy, Elsevier, vol. 68(C), pages 320-333.
  • Handle: RePEc:eee:enepol:v:68:y:2014:i:c:p:320-333
    DOI: 10.1016/j.enpol.2014.01.042
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    References listed on IDEAS

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    1. Klessmann, Corinna & Held, Anne & Rathmann, Max & Ragwitz, Mario, 2011. "Status and perspectives of renewable energy policy and deployment in the European Union—What is needed to reach the 2020 targets?," Energy Policy, Elsevier, vol. 39(12), pages 7637-7657.
    2. Schillings, Christoph & Wanderer, Thomas & Cameron, Lachlan & van der Wal, Jan Tjalling & Jacquemin, Jerome & Veum, Karina, 2012. "A decision support system for assessing offshore wind energy potential in the North Sea," Energy Policy, Elsevier, vol. 49(C), pages 541-551.
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    5. Castro-Santos, Laura & Garcia, Geuffer Prado & Simões, Teresa & Estanqueiro, Ana, 2019. "Planning of the installation of offshore renewable energies: A GIS approach of the Portuguese roadmap," Renewable Energy, Elsevier, vol. 132(C), pages 1251-1262.
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    7. Gil-García, Isabel C. & Ramos-Escudero, Adela & García-Cascales, M.S. & Dagher, Habib & Molina-García, A., 2022. "Fuzzy GIS-based MCDM solution for the optimal offshore wind site selection: The Gulf of Maine case," Renewable Energy, Elsevier, vol. 183(C), pages 130-147.
    8. Vinhoza, Amanda & Schaeffer, Roberto, 2021. "Brazil's offshore wind energy potential assessment based on a Spatial Multi-Criteria Decision Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    9. 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.
    10. Qu, Yang & Swales, J. Kim & Hooper, Tara & Austen, Melanie C. & Wang, Xinhao & Papathanasopoulou, Eleni & Huang, Junling & Yan, Xiaoyu, 2023. "Economic trade-offs in marine resource use between offshore wind farms and fisheries in Scottish waters," Energy Economics, Elsevier, vol. 125(C).
    11. Yu-Fu Chen & Michael Funke, 2015. "Going Offshore: Investments in German Wind Energy under Uncertainty," CESifo Working Paper Series 5408, CESifo.

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