Identification of optimum working conditions in hydroelectric power plants for cavitation

MakaleAçık ErişimScopus SJRQ1
  • SDG 7 · Erişilebilir ve Temiz Enerji
  • SDG 9 · Sanayi, Yenilikçilik ve Altyapı

Özet

Turbine faults in hydroelectric power plants not only reduce the operation time of the plant, but also cause a serious loss of income. One of the most important turbine faults is the turbine wheel wear caused by the cavitation and accordingly the other machine equipment faults which cause excessive vibration. In this study, cavitation intensity that the turbines have been exposed in operating conditions has been investigated. As a result of the calculations, optimum working conditions of the units have been determined with graphs obtained in various operating conditions. The obtained data can be easily applied to all hydroelectric power plants exposed to cavitation, and safe operating conditions can be determined.

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11
WoS
10
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13
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AlanDeğerDil
dc.contributor.authorKahraman, Gökhan
dc.contributor.authorYücel, Halit Lütfi
dc.contributor.authorTaşgin, Yahya
dc.date.accessioned2026-10-28T14:57:08.855179717Z
dc.date.available2026-10-28T14:57:08.855179717Z
dc.date.issued2019
dc.description.abstractTurbine faults in hydroelectric power plants not only reduce the operation time of the plant, but also cause a serious loss of income. One of the most important turbine faults is the turbine wheel wear caused by the cavitation and accordingly the other machine equipment faults which cause excessive vibration. In this study, cavitation intensity that the turbines have been exposed in operating conditions has been investigated. As a result of the calculations, optimum working conditions of the units have been determined with graphs obtained in various operating conditions. The obtained data can be easily applied to all hydroelectric power plants exposed to cavitation, and safe operating conditions can be determined.
dc.identifier.doi10.1016/j.engfailanal.2018.09.037
dc.identifier.eissn1873-1961
dc.identifier.endpage174
dc.identifier.issn1350-6307
dc.identifier.scopus2-s2.0-85054814072
dc.identifier.startpage168
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/3803
dc.identifier.volume96
dc.identifier.wosWOS:000455849800014
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofEngineering Failure Analysis
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCavitation
dc.subjectHydroelectric power plant
dc.subjectTurbine wheel
dc.subject.classificationEngineering, Mechanical
dc.subject.classificationMaterials Science, Characterization & Testing
dc.subject.classificationEngineering
dc.subject.classificationMaterials Science
dc.subject.otherCavitation
dc.subject.otherHydroelectric power
dc.subject.otherTurbines
dc.subject.otherVibrations (mechanical)
dc.subject.otherWheels
dc.subject.otherCavitation intensity
dc.subject.otherExposed to
dc.subject.otherMachine equipment
dc.subject.otherOperating condition
dc.subject.otherOperation time
dc.subject.otherOptimum working conditions
dc.subject.otherSafe operating conditions
dc.subject.otherTurbine wheel
dc.subject.otherHydroelectric power plants
dc.titleIdentification of optimum working conditions in hydroelectric power plants for cavitation
dc.typeArticle
rdl.citation.openalex13
rdl.citation.scopus11
rdl.citation.wos10
rdl.oa.statusgreen
rdl.oa.statuspreprint
rdl.oa.urlhttps://hdl.handle.net/11508/61894
rdl.scopus.quartileQ1
rdl.sdgSDG07
rdl.sdgSDG09
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)