Multiscale electromagnetic–thermal–fluid field coupling model for oil-immersed transformers

Accurate predictions of the hotspot temperatures within large oil-immersed transformers are critical to their operational safety and longevity. The present work explores a novel multiscale electromagnetic–thermal–fluid indirect coupling model to address this challenge. The novelty of the model lies in its comprehensive integration of a detailed disc-type winding structure with the complete radiator-cooling circuit to overcome the common simplifications applied in existing studies. The proposed methodology involves a sequential process, where a 3D electromagnetic field simulation is first performed to determine the loss distribution precisely; here, the total eddy current loss of the winding accounts for 3.68% of the total winding loss and shows a U-shaped distribution in the winding disc height direction. These losses are then imported as heat sources into a full-scale thermal–fluid model. The key findings of the model are that the eddy current losses of the winding account for a significant portion of the total loss and that their distribution critically influences the temperature field; further, the presence of oil washers creates localized temperature differences of up to 5.3 K. The model accuracy is strongly validated through a transformer temperature rise test using embedded optical-fiber sensors, and the results show a maximum deviation of only 3.1 K. Hence, the present study provides a high-fidelity simulation framework for transformer thermal management and design optimization.

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Publication Details

Journal
Frontiers in Mechanical Engineering
Published
2025-11-24
DOI
https://doi.org/10.3389/fmech.2025.1701541
Citations
1
Primary Topic
Power Transformer Diagnostics and Insulation
Type
article
Field-Weighted Citation Impact
0.73

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article

Multiscale electromagnetic–thermal–fluid field coupling model for oil-immersed transformers

Mingzhi Peng, R. Jiao, Yu Hao Wang, Tiantian Liu et al.
1 citations
Frontiers in Mechanical Engineering
Power Transformer Diagnostics and Insulation
0.73
article

Multiscale electromagnetic–thermal–fluid field coupling model for oil-immersed transformers

Mingzhi Peng, R. Jiao, Yu Hao Wang, Tiantian Liu, Yao Xu, Yongbo Hu
article en
1 citations

Abstract

Accurate predictions of the hotspot temperatures within large oil-immersed transformers are critical to their operational safety and longevity. The present work explores a novel multiscale electromagnetic–thermal–fluid indirect coupling model to address this challenge. The novelty of the model lies in its comprehensive integration of a detailed disc-type winding structure with the complete radiator-cooling circuit to overcome the common simplifications applied in existing studies. The proposed methodology involves a sequential process, where a 3D electromagnetic field simulation is first performed to determine the loss distribution precisely; here, the total eddy current loss of the winding accounts for 3.68% of the total winding loss and shows a U-shaped distribution in the winding disc height direction. These losses are then imported as heat sources into a full-scale thermal–fluid model. The key findings of the model are that the eddy current losses of the winding account for a significant portion of the total loss and that their distribution critically influences the temperature field; further, the presence of oil washers creates localized temperature differences of up to 5.3 K. The model accuracy is strongly validated through a transformer temperature rise test using embedded optical-fiber sensors, and the results show a maximum deviation of only 3.1 K. Hence, the present study provides a high-fidelity simulation framework for transformer thermal management and design optimization.

Frontiers in Mechanical EngineeringVol. 11
State Grid Corporation of China (China) (CN)
State Grid Corporation of China
Openalex Percentile: Top 21%
Power Transformer Diagnostics and Insulation
0.73
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Multiscale electromagnetic–thermal–fluid field coupling model for oil-immersed transformers — Mingzhi Peng, R. Jiao, et al. · Frontiers in Mechanical Engineering (2025) | TGRS Research Map | TGRS