Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/141711
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dc.contributor.authorSmolyanov, I.en
dc.contributor.authorShmakov, E.en
dc.contributor.authorButusov, D.en
dc.contributor.authorKhalyasmaa, A. I.en
dc.date.accessioned2025-02-25T11:02:21Z-
dc.date.available2025-02-25T11:02:21Z-
dc.date.issued2024-
dc.identifier.citationSmolyanov, I., Shmakov, E., Butusov, D., & Khalyasmaa, A. I. (2024). Review of Modeling Approaches for Conjugate Heat Transfer Processes in Oil-Immersed Transformers. Computation, 12(5), [97]. https://doi.org/10.3390/computation12050097apa_pure
dc.identifier.issn2079-3197-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Gold Open Access3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85194235118&doi=10.3390%2fcomputation12050097&partnerID=40&md5=d76a780bc5b0aa7fe23ee1fdb517ec351
dc.identifier.otherhttps://www.mdpi.com/2079-3197/12/5/97/pdf?version=1715414163pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/141711-
dc.description.abstractThis review addresses the modeling approaches for heat transfer processes in oil-immersed transformer. Electromagnetic, thermal, and hydrodynamic thermal fields are identified as the most critical aspects in describing the state of the transformer. The paper compares the implementation complexity, calculation time, and details of the results for different approaches to creating a mathematical model, such as circuit-based models and finite element and finite volume methods. Examples of successful model implementation are provided, along with the features of oil-immersed transformer modeling. In addition, the review considers the strengths and limitations of the considered models in relation to creating a digital twin of a transformer. The review concludes that it is not feasible to create a universal model that accounts for all the features of physical processes in an oil-immersed transformer, operates in real time for a digital twin, and provides the required accuracy at the same time. The conducted research shows that joint modeling of electromagnetic and thermal processes, reducing the dimensionality of models, provides the most comprehensive solution to the problem. © 2024 by the authors.en
dc.description.sponsorshipMinistry of Education and Science of the Russian Federation, Minobrnauka, (FEUZ-2022-0030); Ministry of Education and Science of the Russian Federation, Minobrnaukaen
dc.description.sponsorshipThe research was carried out within the state assignment with the financial support of the Ministry of Science and Higher Education of the Russian Federation (subject No. FEUZ-2022-0030 Development of an intelligent multi-agent system for modeling deeply integrated technological systems in the power industry).en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.sourceComputation2
dc.sourceComputationen
dc.subjectCIRCUIT-BASED MODELSen
dc.subjectDIGITAL TWINen
dc.subjectFINITE ELEMENT METHODen
dc.subjectFINITE VOLUME METHODen
dc.subjectNUMERICAL SIMULATIONen
dc.subjectOIL-IMMERSED POWER TRANSFORMERen
dc.subjectREDUCED-ORDER MODELSen
dc.titleReview of Modeling Approaches for Conjugate Heat Transfer Processes in Oil-Immersed Transformersen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/computation12050097-
dc.identifier.scopus85194235118-
local.contributor.employeeSmolyanov I., Ural Power Engineering Institute, Ural Federal University, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeShmakov E., Ural Power Engineering Institute, Ural Federal University, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeButusov D., Computer-Aided Design Department, St. Petersburg Electrotechnical University “LETI”, 5 Professora Popova St., Saint Petersburg, 197376, Russian Federationen
local.contributor.employeeKhalyasmaa A.I., Ural Power Engineering Institute, Ural Federal University, Yekaterinburg, 620002, Russian Federationen
local.issue5-
local.volume12-
dc.identifier.wos001233009600001-
local.contributor.departmentUral Power Engineering Institute, Ural Federal University, Yekaterinburg, 620002, Russian Federationen
local.contributor.departmentComputer-Aided Design Department, St. Petersburg Electrotechnical University “LETI”, 5 Professora Popova St., Saint Petersburg, 197376, Russian Federationen
local.identifier.pure58369130-
local.description.order97
local.identifier.eid2-s2.0-85194235118-
local.fund.rsfMinistry of Education and Science of the Russian Federation, Minobrnauka, (FEUZ-2022-0030); Ministry of Education and Science of the Russian Federation, Minobrnauka
local.fund.rsfThe research was carried out within the state assignment with the financial support of the Ministry of Science and Higher Education of the Russian Federation (subject No. FEUZ-2022-0030 Development of an intelligent multi-agent system for modeling deeply integrated technological systems in the power industry).
local.identifier.wosWOS:001233009600001-
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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