Early life failure modes and downtime analysis of onshore type-III wind turbines in Turkey

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dc.authorscopusid57189095244
dc.authorscopusid36449711600
dc.authorscopusid22433630600
dc.authorscopusid26430653900
dc.contributor.authorSarma, Nur
dc.contributor.authorTuohy, P.M.
dc.contributor.authorÖzgönenel, O.
dc.contributor.authorDjurovi?, S.
dc.date.accessioned2023-07-26T11:54:17Z
dc.date.available2023-07-26T11:54:17Z
dc.date.issued2023
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractOperations and maintenance costs, and unplanned downtime accounts for a significant proportion of the total expenditure of windfarms. Therefore, reduction of these costs is essential, which requires a better understanding of the wind turbines' reliability in terms of failure rates and downtime with operational lifetime. Failure rates and downtime are generally logged using condition monitoring systems, which mainly focus on Supervisory Control and Data Acquisition (SCADA) alarm signals. The aim of this paper is to use SCADA alarm statistics to provide a new failure rate and downtime survey and thus to evaluate reliability performance of the major wind turbine components and subsystems. The paper focuses on a modern onshore windfarm located in Turkey with Type-III wind turbines over the course of the first two years of operations, which is the first time reliability data from Turkey has been published in literature. The presented data can help to provide a better understanding of early life operations, since all maintenance activities, as well as stoppages that caused the wind turbines not to generate electricity were considered in this paper. Furthermore, the evaluation and categorisation of the recorded SCADA alarms, their origins and whether they were associated with planned or unplanned downtime is presented. This analysis shows that early life modern wind turbines have the highest alarm rates and downtime associated with ‘safety’ factors, followed by the ‘electrical systems’, which was found to be the most critical (or unreliable) subsystem. The presented results therefore suggest that early life focus should be on the electrical systems of wind turbines for maximising their operating time and availability. Monthly distributions of both SCADA alarms and downtime rates are also presented to highlight the effects of environmental conditions. © 2022en_US
dc.description.sponsorshipThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.en_US
dc.identifier.doi10.1016/j.epsr.2022.108956
dc.identifier.issn0378-7796
dc.identifier.scopus2-s2.0-85144063010en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.epsr.2022.108956
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12786
dc.identifier.volume216en_US
dc.identifier.wosWOS:000993728200001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorSarma, Nur
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofElectric Power Systems Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectCondition monitoringen_US
dc.subjectDowntimeen_US
dc.subjectFailure mode analysisen_US
dc.subjectFailuresen_US
dc.subjectReliabilityen_US
dc.subjectSCADA alarmsen_US
dc.subjectWind turbineen_US
dc.subjectAlarm systemsen_US
dc.subjectCondition based maintenanceen_US
dc.subjectCondition monitoringen_US
dc.subjectCost benefit analysisen_US
dc.subjectFailure (mechanical)en_US
dc.subjectFailure modesen_US
dc.subjectFailure rateen_US
dc.subjectOutagesen_US
dc.subjectReliability analysisen_US
dc.subjectSCADA systemsen_US
dc.subjectDowntimeen_US
dc.subjectEarliest lifeen_US
dc.subjectElectrical systemsen_US
dc.subjectFailure mode analysisen_US
dc.subjectFailure rateen_US
dc.subjectOperations and maintenanceen_US
dc.subjectOperations costen_US
dc.subjectSupervisory control and data acquisitionen_US
dc.subjectSupervisory control and data acquisition alarmen_US
dc.subjectWind farmen_US
dc.subjectWind turbinesen_US
dc.titleEarly life failure modes and downtime analysis of onshore type-III wind turbines in Turkeyen_US
dc.typeArticleen_US

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