IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i19p5086-d1757359.html

Heat and Mass Transfer Simulation of Nano-Modified Oil-Immersed Transformer Based on Multi-Scale

Author

Listed:
  • Wenxu Yu

    (College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China)

  • Xiangyu Guan

    (College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China)

  • Liang Xuan

    (College of Energy and Electrical Engineering, Chang’an University, Xi’an 710018, China)

Abstract

The fast and accurate calculation of the internal temperature rise in the oil-immersed transformer is the premise to realize the thermal health management and load energy evaluation of the in-service transformer. In view of the influence of nanofluids on the heat transfer process of transformer, a numerical simulation algorithm based on lattice Boltzmann method (LBM) and finite difference method (FDM) is proposed to study the heat and mass transfer process inside nano-modified oil-immersed transformer. Firstly, the D2Q9 lattice model is used to solve the fluid and thermal lattice Boltzmann equations inside the oil-immersed transformer at the mesoscopic scale, and the temperature field and velocity field are obtained by macroscopic transformation. Secondly, the electric field distribution inside the oil-immersed transformer is calculated by FDM. The viscous resistance in LBM analysis and the electric field force in FDM analysis, as well as the gravity and buoyancy of particles, are used to explore the motion characteristics of nanoparticles and metal particles. Finally, compared with the thermal ring method and the finite volume method (FVM), the relative error is less than 5%, which verifies the effectiveness of the numerical model and provides a method for studying the internal electrothermal convection of nano-modified oil-immersed transformers.

Suggested Citation

  • Wenxu Yu & Xiangyu Guan & Liang Xuan, 2025. "Heat and Mass Transfer Simulation of Nano-Modified Oil-Immersed Transformer Based on Multi-Scale," Energies, MDPI, vol. 18(19), pages 1-16, September.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:19:p:5086-:d:1757359
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/19/5086/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/19/5086/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohamed S. Seddik & Jehan Shazly & Magdy B. Eteiba, 2024. "Thermal Analysis of Power Transformer Using 2D and 3D Finite Element Method," Energies, MDPI, vol. 17(13), pages 1-23, June.
    2. Fang Li & Zewen Tan & Hu He & Youhang Zhou & Xuan Tang & Wenhui Zhu, 2025. "Research on Thermal Performance of the Microchannel with Internal Cavities Under Al 2 O 3 -Water Nanofluid," Energies, MDPI, vol. 18(16), pages 1-18, August.
    3. Maryia Miadzvedzeva & Alexander S. Fedotov & Ilya Zur & Julia Fedotova, 2025. "Heat Transfer and Flow Dynamics for Natural Convection in Fe 3 O 4 /H 2 O Nanofluid," Energies, MDPI, vol. 18(11), pages 1-19, May.
    4. Zihao Yuan & Yinkuan Dong & Zunlong Jin, 2023. "Numerical Simulation of MHD Natural Convection and Entropy Generation in Semicircular Cavity Based on LBM," Energies, MDPI, vol. 16(10), pages 1-17, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sandra Sorte & André Ferreira Monteiro & Diogo Ventura & Alexandre Salgado & Mónica S. A. Oliveira & Nelson Martins, 2025. "Power Transformers Cooling Design: A Comprehensive Review," Energies, MDPI, vol. 18(5), pages 1-42, February.
    2. Zhengqin Zhou & Chuanxian Luo & Fengda Zhang & Jing Zhang & Xu Yang & Peng Yu & Minfu Liao, 2025. "Thermal Management in 500 kV Oil-Immersed Converter Transformers: Synergistic Investigation of Critical Parameters Through Simulation and Experiment," Energies, MDPI, vol. 18(9), pages 1-17, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:19:p:5086-:d:1757359. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.