Integrated condition-based maintenance modelling and optimisation for offshore wind farms

Dao, Cuong D.; Kazemtabrizi, Behzad; Crabtree, Christopher J.; Tavner, Peter J.

doi:10.1002/we.2625

Integrated condition-based maintenance modelling and optimisation for offshore wind farms Thumbnail

Authors

Cuong D. Dao

Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor

Professor Christopher Crabtree c.j.crabtree@durham.ac.uk
Professor

Peter J. Tavner

Abstract

Maintenance is essential in keeping wind energy assets operating efficiently. With the development of advanced condition monitoring, diagnostics and prognostics, condition‐based maintenance has attracted much attention in the offshore wind industry in recent years. This paper models various maintenance activities and their impacts on the degradation and performance of offshore wind turbine components. An integrated maintenance strategy of corrective maintenance, imperfect time‐based preventive maintenance and condition‐based maintenance is proposed and compared with other traditional maintenance strategies. A maintenance simulation programme is developed to simulate the degradation and maintenance of offshore wind turbines and estimate their performance. A case study on a 10‐MW offshore wind turbine (OWT) is presented to analyse the performance of different maintenance strategies. The simulation results reveal that the proposed strategy not only reduces the total maintenance cost but also improves the energy generation by reducing the total downtime and expected energy not supplied. Furthermore, the proposed maintenance strategy is optimised to find the best degradation threshold and balance the trade‐off between the use of condition‐based maintenance and other maintenance activities.

Citation

Dao, C. D., Kazemtabrizi, B., Crabtree, C. J., & Tavner, P. J. (2021). Integrated condition-based maintenance modelling and optimisation for offshore wind farms. Wind Energy, 24(11), 1180-1198. https://doi.org/10.1002/we.2625

Journal Article Type	Article
Acceptance Date	Jan 20, 2021
Online Publication Date	Feb 4, 2021
Publication Date	Oct 21, 2021
Deposit Date	Feb 8, 2021
Publicly Available Date	Feb 9, 2021
Journal	Wind Energy
Print ISSN	1095-4244
Electronic ISSN	1099-1824
Publisher	Wiley Open Access
Peer Reviewed	Peer Reviewed
Volume	24
Issue	11
Pages	1180-1198
DOI	https://doi.org/10.1002/we.2625

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Copyright Statement
© 2021 The Authors. Wind Energy published by John Wiley & Sons Ltd.<br /> <br /> This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.