Routing in offshore wind farms: A multi-period location and maintenance problem with joint use of a service operation vessel and a safe transfer boat

Chandra Ade Irawan, Stefano Starita, Hing Kai Chan (), Majid Eskandarpour () and Mohammad Reihaneh
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Chandra Ade Irawan: Nottingham University Business School China
Stefano Starita: Chulalongkorn University [Bangkok]
Hing Kai Chan: NBU - Ningbo University
Majid Eskandarpour: LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique
Mohammad Reihaneh: LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique

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Abstract: This paper studies an interesting logistical problem related to maintaining a set of selected turbines in offshore wind farms. A service operation vessel (SOV), used to support maintenance activities, also carries a safe transfer boat (STB), which is used to transport technicians, parts, and equipment to the turbines. The maintenance activities are optimised over a planning horizon by simultaneously coordinating the SOV and the STB. A mixed-integer linear programming model is designed, where the objective function is to minimise the total maintenance cost. As the proposed mathematical model is hard to solve with a commercial solver, a decomposition approach is developed. A two-stage stochastic programming model is also designed to tackle uncertain conditions, including the duration of maintenance and the STB's travel time. The performance of the solution method is evaluated using the Thanet Offshore Wind Farm, in the southeast of the UK. The results of our experiments show that joint use of an SOV and an STB can yield a lower total maintenance cost than only using an SOV or crew travel vessels (CTVs) that are currently the common practice in maintaining offshore turbines.

Date: 2023-05-16
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Published in European Journal of Operational Research, 2023, 307 (1), pp.328-350. ⟨10.1016/j.ejor.2022.07.051⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04132520

DOI: 10.1016/j.ejor.2022.07.051

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