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Numerical Simulation of Natural Convection in the Power Transformer. / Smolyanov, Ivan; Shmakov, Evgeniy; Lapin, Andrei.
Proceedings - 2023 International Russian Automation Conference, RusAutoCon 2023: book. Institute of Electrical and Electronics Engineers Inc., 2023. стр. 936-941.

Результаты исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииРецензирование

Harvard

Smolyanov, I, Shmakov, E & Lapin, A 2023, Numerical Simulation of Natural Convection in the Power Transformer. в Proceedings - 2023 International Russian Automation Conference, RusAutoCon 2023: book. Institute of Electrical and Electronics Engineers Inc., стр. 936-941, 2023 International Russian Automation Conference (RusAutoCon), 10/09/2023. https://doi.org/10.1109/RusAutoCon58002.2023.10272835

APA

Smolyanov, I., Shmakov, E., & Lapin, A. (2023). Numerical Simulation of Natural Convection in the Power Transformer. в Proceedings - 2023 International Russian Automation Conference, RusAutoCon 2023: book (стр. 936-941). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RusAutoCon58002.2023.10272835

Vancouver

Smolyanov I, Shmakov E, Lapin A. Numerical Simulation of Natural Convection in the Power Transformer. в Proceedings - 2023 International Russian Automation Conference, RusAutoCon 2023: book. Institute of Electrical and Electronics Engineers Inc. 2023. стр. 936-941 doi: 10.1109/RusAutoCon58002.2023.10272835

Author

Smolyanov, Ivan ; Shmakov, Evgeniy ; Lapin, Andrei. / Numerical Simulation of Natural Convection in the Power Transformer. Proceedings - 2023 International Russian Automation Conference, RusAutoCon 2023: book. Institute of Electrical and Electronics Engineers Inc., 2023. стр. 936-941

BibTeX

@inproceedings{d5c3cc102ec3484084c909cc83761478,
title = "Numerical Simulation of Natural Convection in the Power Transformer",
abstract = "Numerical analysis of natural convection in a three-phase power transformer filled with industrial oil is considered. The paper presents a comparative analysis of the temperature and hydrodynamic fields when reducing a load factor by three different approaches to the simulation of the transformer tank area. The initial conditions of the velocity, pressure, and temperature fields are the results of calculating a stationary study of the convection in a power transformer. It is shown that considering the computational domain as a one-phase case significantly distorts the results. The appropriate way to simulate a cooling system is to use the inlet-outlet boundary conditions calibrated by physical experiments or numerical simulations. All the calculations were performed using the k - ϵ turbulence model implemented in Comsol Multiphysics. The presented results are of particular interest for the power transformer oil condition forecasting by numerical simulation tools.",
author = "Ivan Smolyanov and Evgeniy Shmakov and Andrei Lapin",
note = "ACKNOWLEDGMENT 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).; 2023 International Russian Automation Conference (RusAutoCon) ; Conference date: 10-09-2023 Through 16-09-2023",
year = "2023",
month = sep,
day = "10",
doi = "10.1109/RusAutoCon58002.2023.10272835",
language = "English",
isbn = "979-835034555-1",
pages = "936--941",
booktitle = "Proceedings - 2023 International Russian Automation Conference, RusAutoCon 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Numerical Simulation of Natural Convection in the Power Transformer

AU - Smolyanov, Ivan

AU - Shmakov, Evgeniy

AU - Lapin, Andrei

N1 - ACKNOWLEDGMENT 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 - 2023/9/10

Y1 - 2023/9/10

N2 - Numerical analysis of natural convection in a three-phase power transformer filled with industrial oil is considered. The paper presents a comparative analysis of the temperature and hydrodynamic fields when reducing a load factor by three different approaches to the simulation of the transformer tank area. The initial conditions of the velocity, pressure, and temperature fields are the results of calculating a stationary study of the convection in a power transformer. It is shown that considering the computational domain as a one-phase case significantly distorts the results. The appropriate way to simulate a cooling system is to use the inlet-outlet boundary conditions calibrated by physical experiments or numerical simulations. All the calculations were performed using the k - ϵ turbulence model implemented in Comsol Multiphysics. The presented results are of particular interest for the power transformer oil condition forecasting by numerical simulation tools.

AB - Numerical analysis of natural convection in a three-phase power transformer filled with industrial oil is considered. The paper presents a comparative analysis of the temperature and hydrodynamic fields when reducing a load factor by three different approaches to the simulation of the transformer tank area. The initial conditions of the velocity, pressure, and temperature fields are the results of calculating a stationary study of the convection in a power transformer. It is shown that considering the computational domain as a one-phase case significantly distorts the results. The appropriate way to simulate a cooling system is to use the inlet-outlet boundary conditions calibrated by physical experiments or numerical simulations. All the calculations were performed using the k - ϵ turbulence model implemented in Comsol Multiphysics. The presented results are of particular interest for the power transformer oil condition forecasting by numerical simulation tools.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85174920099

U2 - 10.1109/RusAutoCon58002.2023.10272835

DO - 10.1109/RusAutoCon58002.2023.10272835

M3 - Conference contribution

SN - 979-835034555-1

SP - 936

EP - 941

BT - Proceedings - 2023 International Russian Automation Conference, RusAutoCon 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 International Russian Automation Conference (RusAutoCon)

Y2 - 10 September 2023 through 16 September 2023

ER -

ID: 47869774