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Review of Modeling Approaches for Conjugate Heat Transfer Processes in Oil-Immersed Transformers. / Smolyanov, Ivan; Shmakov, Evgeniy; Butusov, Denis et al.
In: Computation, Vol. 12, No. 5, 97, 2024.

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@article{1fe0476ec7d44227839af2dbfd26dc23,
title = "Review of Modeling Approaches for Conjugate Heat Transfer Processes in Oil-Immersed Transformers",
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.",
author = "Ivan Smolyanov and Evgeniy Shmakov and Denis Butusov and Khalyasmaa, {Alexandra i.}",
note = "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).",
year = "2024",
doi = "10.3390/computation12050097",
language = "English",
volume = "12",
journal = "Computation",
issn = "2079-3197",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "5",

}

RIS

TY - JOUR

T1 - Review of Modeling Approaches for Conjugate Heat Transfer Processes in Oil-Immersed Transformers

AU - Smolyanov, Ivan

AU - Shmakov, Evgeniy

AU - Butusov, Denis

AU - Khalyasmaa, Alexandra i.

N1 - 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).

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85194235118

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=001233009600001

U2 - 10.3390/computation12050097

DO - 10.3390/computation12050097

M3 - Review article

VL - 12

JO - Computation

JF - Computation

SN - 2079-3197

IS - 5

M1 - 97

ER -

ID: 58369130