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Evaluating operational strategies for the installation of offshore wind turbine substructures

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  • Tjaberings, Jorick
  • Fazi, Stefano
  • Ursavas, Evrim

Abstract

The construction of offshore wind farms requires solving more and more complex logistical problems due to the increasing sizes of turbines and changing environments. In particular, the installation of substructures requires attention due to their significant impact on capital expenditures and the limited literature and guidelines available. In this paper, we develop a decision support tool consisting of a discrete-event simulation that allows for comparing strategies for the installation of offshore wind turbine substructures in terms of time and costs. We identify several combinations of transportation and installation strategies for monopile and for jacket substructures. The differentiation is based on the deployed vessels and the installation sequence of the components. The strategies are applied to the case of a wind farm in the North Sea. For both substructure types, we find that strategies involving a second installation vessel result in the shortest installation times, and those in which the installation vessel(s) take(s) care of both transportation and installation result in the lowest costs. Additionally, we quantify the performance increases as a result of a reduction of the most prominent bottlenecks and the sensitivity of the project performance to the start date. Finally, the results are discussed in relation to future market and technological developments in the field.

Suggested Citation

  • Tjaberings, Jorick & Fazi, Stefano & Ursavas, Evrim, 2022. "Evaluating operational strategies for the installation of offshore wind turbine substructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
  • Handle: RePEc:eee:rensus:v:170:y:2022:i:c:s1364032122008322
    DOI: 10.1016/j.rser.2022.112951
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    References listed on IDEAS

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    1. Sarker, Bhaba R. & Faiz, Tasnim Ibn, 2017. "Minimizing transportation and installation costs for turbines in offshore wind farms," Renewable Energy, Elsevier, vol. 101(C), pages 667-679.
    2. Jiang, Zhiyu, 2021. "Installation of offshore wind turbines: A technical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    3. Ursavas, Evrim, 2017. "A benders decomposition approach for solving the offshore wind farm installation planning at the North Sea," European Journal of Operational Research, Elsevier, vol. 258(2), pages 703-714.
    4. uit het Broek, Michiel A.J. & Veldman, Jasper & Fazi, Stefano & Greijdanus, Roy, 2019. "Evaluating resource sharing for offshore wind farm maintenance: The case of jack-up vessels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 619-632.
    5. Shafiee, Mahmood, 2015. "Maintenance logistics organization for offshore wind energy: Current progress and future perspectives," Renewable Energy, Elsevier, vol. 77(C), pages 182-193.
    6. Poulsen, Thomas & Lema, Rasmus, 2017. "Is the supply chain ready for the green transformation? The case of offshore wind logistics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 758-771.
    7. Lacal-Arántegui, Roberto & Yusta, José M. & Domínguez-Navarro, José Antonio, 2018. "Offshore wind installation: Analysing the evidence behind improvements in installation time," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 133-145.
    8. Topham, Eva & McMillan, David, 2017. "Sustainable decommissioning of an offshore wind farm," Renewable Energy, Elsevier, vol. 102(PB), pages 470-480.
    9. Chandra Ade Irawan & Graham Wall & Dylan Jones, 2019. "An optimisation model for scheduling the decommissioning of an offshore wind farm," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(2), pages 513-548, June.
    10. Barlow, Euan & Tezcaner Öztürk, Diclehan & Revie, Matthew & Akartunalı, Kerem & Day, Alexander H. & Boulougouris, Evangelos, 2018. "A mixed-method optimisation and simulation framework for supporting logistical decisions during offshore wind farm installations," European Journal of Operational Research, Elsevier, vol. 264(3), pages 894-906.
    11. Ren, Zhengru & Verma, Amrit Shankar & Li, Ye & Teuwen, Julie J.E. & Jiang, Zhiyu, 2021. "Offshore wind turbine operations and maintenance: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
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