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Evaluating resource sharing for offshore wind farm maintenance: The case of jack-up vessels

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  • uit het Broek, Michiel A.J.
  • Veldman, Jasper
  • Fazi, Stefano
  • Greijdanus, Roy

Abstract

Offshore wind energy is recognised globally as a viable alternative to finite energy sources. However, large cost reductions are still needed, particularly in the Operations & Maintenance (O&M) phase, which currently accounts for about 30% of the cost of offshore wind. For large component replacements, a jack-up vessel is often leased from the spot market, resulting in high costs and low utilisation. These costs can be lowered when multiple wind farm service providers would share the resources needed to employ jack-up vessels. In this paper, we analyse two types of resource sharing, as an alternative to each service provider leasing its own vessel: (i) vessel purchasing and sharing and (ii) the combined use of vessel and harbour sharing. We design a simulation model and include stochastic processes such as weather patterns and component failures. Results show that cost benefits up to 45% can be achieved compared to a leasing policy, depending on the number of wind farm service providers involved and on the geographical distance between offshore wind farms. Moreover, it is shown that the jack-up vessel should not be fully utilised to minimise costs. The performance benefits of harbour sharing in addition to vessel sharing are generally small, but become more significant if the network faces considerable congestion. Results are illustrated using a case study based on a setting in the Western North Sea.

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  • 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.
  • Handle: RePEc:eee:rensus:v:109:y:2019:i:c:p:619-632
    DOI: 10.1016/j.rser.2019.03.055
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    Cited by:

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    3. 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).
    4. Mauricio Varas & Franco Basso & Paul Bosch & Juan Pablo Contreras & Raúl Pezoa, 2022. "A horizontal collaborative approach for planning the wine grape harvesting," Operational Research, Springer, vol. 22(5), pages 4965-4998, November.
    5. Li, Mingxin & Jiang, Xiaoli & Carroll, James & Negenborn, Rudy R., 2022. "A multi-objective maintenance strategy optimization framework for offshore wind farms considering uncertainty," Applied Energy, Elsevier, vol. 321(C).
    6. Schrotenboer, Albert H. & Veenstra, Arjen A.T. & uit het Broek, Michiel A.J. & Ursavas, Evrim, 2022. "A Green Hydrogen Energy System: Optimal control strategies for integrated hydrogen storage and power generation with wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    7. Wu, Yunna & Liao, Mingjuan & Hu, Mengyao & Lin, Jiawei & Zhou, Jianli & Zhang, Buyuan & Xu, Chuanbo, 2020. "A decision framework of low-speed wind farm projects in hilly areas based on DEMATEL-entropy-TODIM method from the sustainability perspective: A case in China," Energy, Elsevier, vol. 213(C).
    8. Abramic, A. & García Mendoza, A. & Haroun, R., 2021. "Introducing offshore wind energy in the sea space: Canary Islands case study developed under Maritime Spatial Planning principles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).

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