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首页> 外文期刊>Mathematical Problems in Engineering >Numerical Study of Heat Transfer in Trefoil Buried Cable with Fluidized Thermal Backfill and Laying Parameter Optimization
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Numerical Study of Heat Transfer in Trefoil Buried Cable with Fluidized Thermal Backfill and Laying Parameter Optimization

机译：流化热回填三叶埋电缆传热的数值模拟及参数优化

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摘要

Trefoil buried cable is one of the important cable arrangements for the underground transmission line, and its heat transfer performance is relatively poor. By filling with fluidized thermal backfill material (FTB) around trefoil buried cables, the heat transfer would be efficiently enhanced, while the filling cost should also be considered. In the present study, the heat transfer process in the FTB trefoil buried cables is numerically studied, where the cable core loss and eddy current loss in the cable were coupled for the simulation. The heat transfer performances and ampacities for trefoil buried cables with different back fill materials were analysed and compared with each other. Then, the laying parameters for the parabolic-type FTB trefoil buried cables were optimized with the radial basis function neural network (RBNN) and genetic algorithm (GA). Firstly, it is found that, with FTB material, the maximum temperature in the cable core is obviously reduced, and the cable ampacity is greatly improved as compared with the cables buried around natural soil (NS). Secondly, when compared with flat-type FTB model, the heat transfer rate in the cable with parabolic-type FTB laying method would be slightly reduced, while the FTB amount used for the buried cables is greatly reduced. Finally, as for parabolic-type FTB trefoil buried cables, with proper design of geometric parameters (s1 = 0.290m, s2 = 0.302m, and l = 0.3m with I = 1300A) for the FTB laying cross section, the overall performance for the cable was optimized.
机译：三叶埋入式电缆是地下传输线的重要电缆布置之一，其传热性能相对较差。通过在三叶形埋入式电缆周围填充流态化的热回填材料（FTB），可以有效地增强传热，同时还应考虑填充成本。在本研究中，对FTB三叶埋入式电缆中的传热过程进行了数值研究，将电缆中的电缆芯损耗和涡流损耗耦合起来进行仿真。分析并比较了具有不同回填材料的三叶埋入式电缆的传热性能和载流量。然后，利用径向基函数神经网络（RBNN）和遗传算法（GA）对抛物线型FTB三叶埋电缆的敷设参数进行优化。首先，发现与埋在自然土壤中的电缆相比，采用FTB材料可以显着降低电缆芯中的最高温度，并大大提高电缆载流量。其次，与平板型FTB模型相比，抛物线型FTB敷设方法在电缆中的传热速率会略有降低，而埋入式电缆中使用的FTB量会大大减少。最后，对于抛物线型FTB三叶埋入式电缆，对于FTB敷设横截面，采用适当的几何参数设计（s1 = 0.290m，s2 = 0.302m和l = 0.3m，I = 1300A），其总体性能为电缆进行了优化。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第5期|4741871.1-4741871.13|共13页
  • 作者

    Fu Chen-Zhao; Si Wen-Rong; Quan Lei; Yang Jian;

  • 作者单位

    State Grid Shanghai Elect Power Res Inst, Shanghai 200437, Peoples R China;

    State Grid Shanghai Elect Power Res Inst, Shanghai 200437, Peoples R China;

    Xi An Jiao Tong Univ, MOE Key Lab Thermofluid Sci & Engn, Xian 710049, Shaanxi, Peoples R China;

    Xi An Jiao Tong Univ, MOE Key Lab Thermofluid Sci & Engn, Xian 710049, Shaanxi, Peoples R China;

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