Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/141711
Title: Review of Modeling Approaches for Conjugate Heat Transfer Processes in Oil-Immersed Transformers
Authors: Smolyanov, I.
Shmakov, E.
Butusov, D.
Khalyasmaa, A. I.
Issue Date: 2024
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
Citation: Smolyanov, 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/computation12050097
Abstract: This 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.
Keywords: CIRCUIT-BASED MODELS
DIGITAL TWIN
FINITE ELEMENT METHOD
FINITE VOLUME METHOD
NUMERICAL SIMULATION
OIL-IMMERSED POWER TRANSFORMER
REDUCED-ORDER MODELS
URI: http://elar.urfu.ru/handle/10995/141711
Access: info:eu-repo/semantics/openAccess
cc-by
SCOPUS ID: 85194235118
WOS ID: 001233009600001
PURE ID: 58369130
ISSN: 2079-3197
DOI: 10.3390/computation12050097
Sponsorship: Ministry of Education and Science of the Russian Federation, Minobrnauka, (FEUZ-2022-0030); Ministry of Education and Science of the Russian Federation, Minobrnauka
The 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).
RSCF project card: Ministry of Education and Science of the Russian Federation, Minobrnauka, (FEUZ-2022-0030); Ministry of Education and Science of the Russian Federation, Minobrnauka
The 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).
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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