Show simple item record

dc.contributor.authorDao, Cuong D.
dc.contributor.authorKazemtabrizi, B.
dc.contributor.authorCrabtree, C.J.
dc.contributor.authorTavner, P.J.
dc.date.accessioned2021-03-17T13:30:21Z
dc.date.accessioned2021-03-23T14:08:07Z
dc.date.available2021-03-17T13:30:21Z
dc.date.available2021-03-23T14:08:07Z
dc.date.issued2021
dc.identifier.citationDao CD, Kazemtabrizi B, Crabtree CJ et al (2021) Integrated condition-based maintenance modelling and optimisation for offshore wind turbines. Wind Energy. Accepted for publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18409
dc.descriptionYesen_US
dc.description.abstractWind 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.en_US
dc.description.sponsorshipUK Engineering and Physical Sciences Research Council (EPSRC). Grant Number: EP/P009743/1en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1002/we.2625en_US
dc.rights(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/)en_US
dc.subjectCondition-based maintenanceen_US
dc.subjectCost optimisationen_US
dc.subjectExpected energy not supplieden_US
dc.subjectO&M simulationen_US
dc.subjectTime-based preventive maintenanceen_US
dc.titleIntegrated condition-based maintenance modelling and optimisation for offshore wind turbinesen_US
dc.status.refereedYesen_US
dc.date.Accepted2021-01-22
dc.date.application2021-02-04
dc.typeArticleen_US
dc.type.versionPublished versionen_US
dc.date.updated2021-03-17T13:30:34Z
refterms.dateFOA2021-03-23T14:08:42Z
dc.openaccess.statusGolden_US


Item file(s)

Thumbnail
Name:
Daoetal.-Integratedcondition-b ...
Size:
3.104Mb
Format:
PDF
Description:
dao_et_al_2021

This item appears in the following Collection(s)

Show simple item record