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A decision support system for assessing offshore wind energy potential in the North Sea

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  • Schillings, Christoph
  • Wanderer, Thomas
  • Cameron, Lachlan
  • van der Wal, Jan Tjalling
  • Jacquemin, Jerome
  • Veum, Karina

Abstract

Offshore wind energy (OWE) in the North Sea has the potential to meet large share of Europe’s future electricity demand. To deploy offshore wind parks in a rational way, the overall OWE potential has to be realistically determined. This has to be done on an international, cross-border level and by taking into account the existing man-made and nature-related uses of the North Sea. As spatial conflicts will arise between existing uses and the new OWE uses, a Decision Support System (DSS) based on a Geographic Information System (GIS) was developed. Based on data of existing sea uses and calculation rules for spatial prioritisation analysis, the DSS helps in identifying areas that are (1) generally suitable for offshore wind power, (2) strictly excluded or (3) negotiable with respect to other existing sea uses. The combination of this conflict analysis together with cost assumptions for offshore wind farms and their expected electricity yield leads to identification of favourable areas for OWE deployment in the North Sea. This approach helps to reduce the conflict between offshore wind deployment and existing sea uses in the North Sea for future planning. The results can assist decision makers in developing transnational roadmaps for OWE.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:enepol:v:49:y:2012:i:c:p:541-551
    DOI: 10.1016/j.enpol.2012.06.056
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    References listed on IDEAS

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    9. Tosatto, Andrea & Beseler, Xavier Martínez & Østergaard, Jacob & Pinson, Pierre & Chatzivasileiadis, Spyros, 2022. "North Sea Energy Islands: Impact on national markets and grids," Energy Policy, Elsevier, vol. 167(C).
    10. 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.
    11. Eva Loukogeorgaki & Dimitra G. Vagiona & Margarita Vasileiou, 2018. "Site Selection of Hybrid Offshore Wind and Wave Energy Systems in Greece Incorporating Environmental Impact Assessment," Energies, MDPI, vol. 11(8), pages 1-16, August.
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    13. Laura Castro-Santos & Almudena Filgueira-Vizoso, 2019. "A Software for Calculating the Economic Aspects of Floating Offshore Renewable Energies," IJERPH, MDPI, vol. 17(1), pages 1-19, December.
    14. Maddi Aizpurua-Etxezarreta & Sheila Carreno-Madinabeitia & Alain Ulazia & Jon Sáenz & Aitor Saenz-Aguirre, 2022. "Long-Term Freezing Temperatures Frequency Change Effect on Wind Energy Gain (Eurasia and North America, 1950–2019)," Sustainability, MDPI, vol. 14(9), pages 1-15, May.
    15. 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.
    16. 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).
    17. Dimitra G. Vagiona & Manos Kamilakis, 2018. "Sustainable Site Selection for Offshore Wind Farms in the South Aegean—Greece," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    18. Peters, Jared L. & Remmers, Tiny & Wheeler, Andrew J. & Murphy, Jimmy & Cummins, Valerie, 2020. "A systematic review and meta-analysis of GIS use to reveal trends in offshore wind energy research and offer insights on best practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    19. Abdelaziz, Sara & Sparrow, Sarah N. & Hua, Weiqi & Wallom, David C.H., 2024. "Assessing long-term future climate change impacts on extreme low wind events for offshore wind turbines in the UK exclusive economic zone," Applied Energy, Elsevier, vol. 354(PB).

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