A Review of Predictive and Prescriptive Offshore Wind Farm Operation and Maintenance

Harriet Fox, Ajit C. Pillai, Daniel Friedrich, Maurizio Collu, Tariq Dawood and Lars Johanning
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Harriet Fox: Industrial CDT in Offshore Renewable Energy, School of Engineering, The University of Edinburgh, Edinburgh EH8 9YL, UK
Ajit C. Pillai: College of Engineering, Mathematics and Physical Sciences, Exeter University, Penryn TR10 9FE, UK
Daniel Friedrich: Industrial CDT in Offshore Renewable Energy, School of Engineering, The University of Edinburgh, Edinburgh EH8 9YL, UK
Maurizio Collu: Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow G1 1XQ, UK
Tariq Dawood: EDF Energy R&D UK Centre, Croydon, London SE25 5AH, UK
Lars Johanning: College of Engineering, Mathematics and Physical Sciences, Exeter University, Penryn TR10 9FE, UK

Energies, 2022, vol. 15, issue 2, 1-27

Abstract: Offshore wind farms are a rapidly developing source of clean, low-carbon energy and as they continue to grow in scale and capacity, so does the requirement for their efficient and optimised operation and maintenance. Historically, approaches to maintenance have been purely reactive. However, there is a movement in offshore wind, and wider industry in general, towards more proactive, condition-based maintenance approaches which rely on operational data-driven decision making. This paper reviews the current efforts in proactive maintenance strategies, both predictive and prescriptive, of which the latter is an evolution of the former. Both use operational data to determine whether a turbine component will fail in order to provide sufficient warning to carry out necessary maintenance. Prescriptive strategies also provide optimised maintenance actions, incorporating predictions into a wider maintenance plan to address predicted failure modes. Beginning with a summary of common techniques used across both strategies, this review moves on to discuss their respective applications in offshore wind operation and maintenance. This review concludes with suggested areas for future work, underlining the need for models which can be simply incorporated by site operators and integrate live data whilst handling uncertainties. A need for further focus on medium-term planning strategies is also highlighted along with consideration of the question of how to quantify the impact of a proactive maintenance strategy.

Keywords: offshore wind; failure prediction; failure prognosis; operation and maintenance planning; prescriptive maintenance (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: 2022
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Citations: View citations in EconPapers (7)

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