Heat and Mass Transfer Simulation of Nano-Modified Oil-Immersed Transformer Based on Multi-Scale
Wenxu Yu (),
Xiangyu Guan and
Liang Xuan
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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
Energies, 2025, vol. 18, issue 19, 1-17
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.
Keywords: lattice Boltzmann method; nanofluid; mesoscopic scale; particle movement; oil transformer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:19:p:5086-:d:1757359
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