Integrated condition-based maintenance modelling and optimisation for offshore wind turbines
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Publication date
2021-11Keyword
Condition-based maintenanceCost optimisation
Expected energy not supplied
O&M simulation
Time-based preventive maintenance
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(c) 2021 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0/)Peer-Reviewed
YesOpen Access status
openAccessAccepted for publication
2021-01-22
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Show full item recordAbstract
Wind Energy published by John Wiley & Sons Ltd. 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.Version
Published versionCitation
Dao CD, Kazemtabrizi B, Crabtree CJ et al (2021) Integrated condition-based maintenance modelling and optimisation for offshore wind turbines. Wind Energy. 24(11): 1180-1198.Link to Version of Record
https://doi.org/10.1002/we.2625Type
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1002/we.2625