Cost-Effectiveness of Predictive Maintenance for Offshore Wind Farms: A Case Study

Rasmus Dovnborg Frederiksen (), Grzegorz Bocewicz, Grzegorz Radzki, Zbigniew Banaszak and Peter Nielsen
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Rasmus Dovnborg Frederiksen: Department of Materials and Production, Aalborg University, 9220 Aalborg, Denmark
Grzegorz Bocewicz: Faculty of Electronics and Computer Science, Koszalin University of Technology, 75-453 Koszalin, Poland
Grzegorz Radzki: Faculty of Electronics and Computer Science, Koszalin University of Technology, 75-453 Koszalin, Poland
Zbigniew Banaszak: Faculty of Electronics and Computer Science, Koszalin University of Technology, 75-453 Koszalin, Poland
Peter Nielsen: Department of Materials and Production, Aalborg University, 9220 Aalborg, Denmark

Energies, 2024, vol. 17, issue 13, 1-24

Abstract: The successful implementation of predictive maintenance for offshore wind farms suffers from a poor understanding of the consequential short-term impacts and a lack of research on how to evaluate the cost-efficiency of such efforts. This paper aims to develop a methodology to explore the short-term marginal impacts of predictive maintenance applied to an already existing preventive maintenance strategy. This method will be based on an analysis of the performance of the underlying predictive model and the costs considered under specific maintenance services. To support this analysis, we develop a maintenance efficiency measure able to estimate the efficiency of both the underlying prediction model used for predictive maintenance and the resulting maintenance efficiency. This distinction between the efficiency of the model and the service results will help point out insufficiencies in the predictive maintenance strategy, as well as facilitate calculations on the cost–benefits of the predictive maintenance implementation. This methodology is validated on a realistic case study of an annual service mission for an offshore wind farm and finds that the efficiency metrics described in this paper successfully support cost–benefit estimates.

Keywords: predictive maintenance; offshore wind energy; service mission planning; O&M optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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