Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77311
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dc.contributorDepartment of Electrical Engineering-
dc.creatorZhang, Y-
dc.creatorHo, SL-
dc.creatorFu, W-
dc.date.accessioned2018-07-30T08:27:30Z-
dc.date.available2018-07-30T08:27:30Z-
dc.identifier.urihttp://hdl.handle.net/10397/77311-
dc.language.isoenen_US
dc.publisherAmerican Institute of Physicsen_US
dc.rights© 2018 Author(s).en_US
dc.rightsThis is an open access article under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Zhang, Y., Ho, S. L., & Fu, W. (2018). Heat transfer comparison of nanofluid filled transformer and traditional oil-immersed transformer. AIP advances, 8(5), 056724 is available at https://doi.org/10.1063/1.5006749en_US
dc.titleHeat transfer comparison of nanofluid filled transformer and traditional oil-immersed transformeren_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume8-
dc.identifier.issue5-
dc.identifier.doi10.1063/1.5006749-
dcterms.abstractDispersing nanoparticles with high thermal conductivity into transformer oil is an innovative approach to improve the thermal performance of traditional oil-immersed transformers. This mixture, also known as nanofluid, has shown the potential in practical application through experimental measurements. This paper presents the comparisons of nanofluid filled transformer and traditional oil-immersed transformer in terms of their computational fluid dynamics (CFD) solutions from the perspective of optimal design. Thermal performance of transformers with the same parameters except coolants is compared. A further comparison on heat transfer then is made after minimizing the oil volume and maximum temperature-rise of these two transformers. Adaptive multi-objective optimization method is employed to tackle this optimization problem.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAIP advances, 2018, v. 8, no. 556724-
dcterms.isPartOfAIP advances-
dcterms.issued2018-
dc.identifier.scopus2-s2.0-85040537188-
dc.identifier.eissn2158-3226-
dc.identifier.artn56724-
dc.identifier.rosgroupid2017002979-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journal-
dc.description.validate201807 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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