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Maintenance scheduling and vessel routing for offshore wind farms with multiple ports considering day-ahead wind-wave predictions

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  • Si, Guojin
  • Xia, Tangbin
  • Wang, Dong
  • Gebraeel, Nagi
  • Pan, Ershun
  • Xi, Lifeng

Abstract

Wind power continues to be the fastest-growing source of renewable energy, with offshore wind development playing a crucial role globally. However, one significant challenge is the inadequate capacity of offshore wind ports, which may lead to delays in installation and maintenance plans. Existing operations and maintenance (OAM) frameworks generally overlook constraints imposed by limited port and vessel availability, focusing primarily on the effects of unrestricted resources on maintenance schedules. To address this issue, this article proposes a novel resource-centered maintenance strategy (RCMS) that incorporates the impact of various resource conditions on opportunistic maintenance scheduling and multi-type vessel routing. Unlike traditional health-centered maintenance strategies, the RCMS quantifies the opportunities emerging from dynamic wind speeds. By leveraging day-ahead predictions of wind speeds and wave heights, the port activation and the collaborative dispatching of multi-type vessels from different ports are optimized, ensuring timely maintenance execution while achieving flexible resource allocation. Accordingly, both the positive and negative impacts of resources (weather conditions, service vessels, and OAM ports) are considered. Experimental results show that for offshore wind farm clusters with multiple ports, the RCMS can reduce overall transportation costs by 74.6 %, 0.9 %, and 6.1 % compared to the easy-to-implement and two fixed port strategies.

Suggested Citation

  • Si, Guojin & Xia, Tangbin & Wang, Dong & Gebraeel, Nagi & Pan, Ershun & Xi, Lifeng, 2025. "Maintenance scheduling and vessel routing for offshore wind farms with multiple ports considering day-ahead wind-wave predictions," Applied Energy, Elsevier, vol. 379(C).
  • Handle: RePEc:eee:appene:v:379:y:2025:i:c:s0306261924022980
    DOI: 10.1016/j.apenergy.2024.124915
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    References listed on IDEAS

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    1. Petros Papadopoulos & David W. Coit & Ahmed Aziz Ezzat, 2024. "STOCHOS: Stochastic opportunistic maintenance scheduling for offshore wind farms," IISE Transactions, Taylor & Francis Journals, vol. 56(1), pages 1-15, January.
    2. Si, Guojin & Xia, Tangbin & Gebraeel, Nagi & Wang, Dong & Pan, Ershun & Xi, Lifeng, 2025. "Holistic opportunistic maintenance scheduling and routing for offshore wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 207(C).
    3. 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).
    4. 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).
    5. Xiong, Zhanhang & Yao, Jianjiang & Huang, Yongmin & Yu, Zhaoxu & Liu, Yalei, 2024. "A wind speed forecasting method based on EMD-MGM with switching QR loss function and novel subsequence superposition," Applied Energy, Elsevier, vol. 353(PB).
    6. Chun Su & Lin Wu, 2024. "Opportunistic maintenance optimisation for offshore wind farm with considering random wind speed," International Journal of Production Research, Taylor & Francis Journals, vol. 62(5), pages 1862-1878, March.
    7. Xia, Tangbin & Dong, Yifan & Pan, Ershun & Zheng, Meimei & Wang, Hao & Xi, Lifeng, 2021. "Fleet-level opportunistic maintenance for large-scale wind farms integrating real-time prognostic updating," Renewable Energy, Elsevier, vol. 163(C), pages 1444-1454.
    8. Bizhani, Hamed & Noroozian, Reza & Muyeen, S.M. & Blaabjerg, Frede, 2022. "Grid integration of multiple wind turbines using a multi-port converter—A novel simultaneous space vector modulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    9. Li, Mingxin & Jiang, Xiaoli & Carroll, James & Negenborn, Rudy R., 2023. "A closed-loop maintenance strategy for offshore wind farms: Incorporating dynamic wind farm states and uncertainty-awareness in decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    10. Gutierrez-Alcoba, A. & Hendrix, E.M.T. & Ortega, G. & Halvorsen-Weare, E.E. & Haugland, D., 2019. "On offshore wind farm maintenance scheduling for decision support on vessel fleet composition," European Journal of Operational Research, Elsevier, vol. 279(1), pages 124-131.
    11. Soares-Ramos, Emanuel P.P. & de Oliveira-Assis, Lais & Sarrias-Mena, Raúl & Fernández-Ramírez, Luis M., 2020. "Current status and future trends of offshore wind power in Europe," Energy, Elsevier, vol. 202(C).
    12. Koukoura, Sofia & Scheu, Matti Niclas & Kolios, Athanasios, 2021. "Influence of extended potential-to-functional failure intervals through condition monitoring systems on offshore wind turbine availability," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    13. Iris, Çağatay & Lam, Jasmine Siu Lee, 2019. "A review of energy efficiency in ports: Operational strategies, technologies and energy management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 170-182.
    14. deCastro, M. & Salvador, S. & Gómez-Gesteira, M. & Costoya, X. & Carvalho, D. & Sanz-Larruga, F.J. & Gimeno, L., 2019. "Europe, China and the United States: Three different approaches to the development of offshore wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 55-70.
    15. Bilgili, Mehmet & Yasar, Abdulkadir & Simsek, Erdogan, 2011. "Offshore wind power development in Europe and its comparison with onshore counterpart," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 905-915, February.
    16. Wang, Yun & Zou, Runmin & Liu, Fang & Zhang, Lingjun & Liu, Qianyi, 2021. "A review of wind speed and wind power forecasting with deep neural networks," Applied Energy, Elsevier, vol. 304(C).
    17. Si, Guojin & Xia, Tangbin & Li, Yaping & Wang, Dong & Chen, Zhen & Pan, Ershun & Xi, Lifeng, 2023. "Resource allocation and maintenance scheduling for distributed multi-center renewable energy systems considering dynamic scope division," Renewable Energy, Elsevier, vol. 217(C).
    18. 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).
    19. Horn, Jan-Tore & Leira, Bernt J., 2019. "Fatigue reliability assessment of offshore wind turbines with stochastic availability," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    20. Caputo, Antonio C. & Federici, Alessandro & Pelagagge, Pacifico M. & Salini, Paolo, 2023. "Offshore wind power system economic evaluation framework under aleatory and epistemic uncertainty," Applied Energy, Elsevier, vol. 350(C).
    21. Stock-Williams, Clym & Swamy, Siddharth Krishna, 2019. "Automated daily maintenance planning for offshore wind farms," Renewable Energy, Elsevier, vol. 133(C), pages 1393-1403.
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