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Steady-State Temperature Prediction for Cluster-Laid Tunnel Cables Based on Self-Modeling in Natural Convection

Author

Listed:
  • Yingying Zhao

    (State Grid Shanghai Electrical Power Research Institute, Shanghai 200437, China)

  • Wenrong Si

    (State Grid Shanghai Electrical Power Research Institute, Shanghai 200437, China)

  • Chenzhao Fu

    (State Grid Shanghai Electrical Power Research Institute, Shanghai 200437, China)

  • Chenhan Yang

    (MOE Key Laboratory of Thermo-Fluid Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Jian Yang

    (MOE Key Laboratory of Thermo-Fluid Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

Accurate temperature prediction of the operating tunnel cable is crucial for its safe and efficient function. To achieve a rapid and accurate prediction of the steady-state temperature of the tunnel cable, the self-modeling pattern in natural convection on the cable surface in the rectangular tunnel is investigated, and the self-modeling method for the convective heat transfer coefficient calculation is proposed. A thermal circuit model for single cables is further established to predict the cable core temperature, and the model is extended to predict the cluster-laid cable core temperature based on the combined method. The results show that when the tunnel size is neglected, the maximum relative deviation of the convective heat transfer coefficient between the self-modeling method and the finite element simulation is only 1.78% in the studied cases, indicating that the natural convection on the cable surface approximately satisfies the self-modeling method. Additionally, applying the self-modeling method to the thermal circuit can accurately predict the temperature of the single cable core. Furthermore, for the three-phase four-circuit cable, the maximum deviation between the temperature prediction results and the finite element results is within 2 K in the studied cases, which verifies the predictive accuracy of the combined method for the cluster-laid tunnel cable.

Suggested Citation

  • Yingying Zhao & Wenrong Si & Chenzhao Fu & Chenhan Yang & Jian Yang, 2024. "Steady-State Temperature Prediction for Cluster-Laid Tunnel Cables Based on Self-Modeling in Natural Convection," Energies, MDPI, vol. 17(21), pages 1-26, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:21:p:5510-:d:1513587
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    References listed on IDEAS

    as
    1. Xufei Ge & Fulin Fan & Martin J. Given & Brian G. Stewart, 2024. "Insulation Resistance Degradation Models of Extruded Power Cables under Thermal Ageing," Energies, MDPI, vol. 17(5), pages 1-22, February.
    2. Ye Li & Leyun Jiang & Min Xie & Jun Yu & Lei Qian & Kai Xu & Meng Chen & Yalin Wang, 2024. "Advancements and Challenges in Power Cable Laying," Energies, MDPI, vol. 17(12), pages 1-26, June.
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