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dc.contributor.authorKhatoon, Shabana
dc.contributor.authorKhan, Asfar Ali
dc.contributor.authorTariq, Mohd
dc.contributor.authorAlamri, Basem
dc.contributor.authorMihet-Popa, Lucian
dc.date.accessioned2022-03-25T16:41:37Z
dc.date.available2022-03-25T16:41:37Z
dc.date.created2022-01-29T15:42:39Z
dc.date.issued2022
dc.identifier.citationEnergies. 2022, 15 (4), Artikkel 1297.en_US
dc.identifier.issn1996-1073
dc.identifier.urihttps://hdl.handle.net/11250/2987750
dc.description.abstractThe flashover performance of contaminated insulators highly depends on the type of pollutant and its present concentration. In this paper, important agricultural salts (NaCl, K2SO4, NaHCO3, CaSO4, KHCO3, MgSO4, NH4), 2Fe (SO4)2 , 6H2O (ferrous ammonium sulphate, dust and urea) at different concentration and biological contaminants such as algae and fungi were taken as pollutants, and AC flashover behaviour of porcelain cap and pin type insulator polluted with these two different pollutants was investigated. The experiment was carried out by a semi-natural method wherein the insulator was first polluted artificially thereafter natural fog was applied to measure the wet flashover voltage. Test results indicate that the flashover voltages were affected by both soluble salts and non-soluble components deposit on the insulator surface. In case of thick contaminated layer non-soluble deposits greatly reduced the flashover voltage. Moreover, by using regression analysis four empirical models based on different variables have been developed. The empirical models developed in the present work represent a good degree of relation to predicting the flash-over voltage of naturally contaminated insulators.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectorganic contaminationen_US
dc.subjectflashover voltageen_US
dc.subjecthigh-voltage insulatorsen_US
dc.subjectESDDen_US
dc.subjectconductivity measurementen_US
dc.titleFlashover Voltage Prediction Models under Agricultural and Biological Contaminated Condition on Insulatorsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 by the authors.en_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.source.volume15en_US
dc.source.journalEnergiesen_US
dc.source.issue4en_US
dc.identifier.doihttps://doi.org/10.3390/en15041297
dc.identifier.cristin1993178
dc.source.articlenumber1297en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal