Application of Computational Fluid Dynamics to Predict the Temperature-Rise of Low Voltage Switchgear Compartment

被引:0
|
作者
Qu, Jianyu [1 ]
Chong, Feng [1 ]
Wu, Gang [1 ]
Li, Xingwen [1 ]
Wang, Qian [2 ]
机构
[1] Xi An Jiao Tong Univ, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China
[2] Xian Univ Technol, Sch Sci, Xian, Peoples R China
关键词
temperature-rise; CFD; joul heat; thermal flow; low voltage switchgear compartment;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Low voltage switchgear compartments are widely used in power distribution networks, and the temperature-rise is strictly limited by IEC 60439-1. Considering the contact resistance, eddy current and thermal flow, an electromagnetic-thermal-fluid coupled model is developed to predict the temperature-rise of a low voltage switchgear compartment. The circuit breaker in the compartment is simplified into three flat conductors surrounded by a solid cuboid, and the proper material properties of the equivalent model are calculated. For verification of the used method, the temperature-rise tests under 500A are carried out. It demonstrates that the simulation and measurement results are close, and the maximum error is about 11K. The model can be improved by considering the radiation heat transport inside and outside the compartment, temperature varying material properties, and including more critical details of the structure. It is noted that the upper terminals of the incoming circuit breaker are beyond the temperature-rise limit both in the simulation and experiment. The optimization will be conducted in the future study.
引用
收藏
页码:87 / 91
页数:5
相关论文
共 50 条
  • [31] An application of computational fluid dynamics in mine ventilation
    Wala, AM
    Yingling, JC
    Zhang, JQ
    MINING SCIENCE AND TECHNOLOGY, 1996, : 255 - 262
  • [32] Application of Computational Fluid Dynamics in Industrial Crystallization
    Li, Shumin
    2018 2ND INTERNATIONAL CONFERENCE ON FLUID MECHANICS AND INDUSTRIAL APPLICATIONS, 2018, 1064
  • [33] Application of Computational Fluid Dynamics (CFD) for nanofluids
    Kamyar, A.
    Saidur, R.
    Hasanuzzaman, M.
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2012, 55 (15-16) : 4104 - 4115
  • [34] Application of computational fluid dynamics to spray drying
    Lo, S
    LAIT, 2005, 85 (4-5): : 353 - 359
  • [35] Application of computational fluid dynamics to steelmaking processes
    Schlueter, Jochen
    Falkenreck, Udo
    Kempken, Jens
    Odenthal, Hans-Juergen
    Reifferscheid, Markus
    Vogl, Norbert
    STAHL UND EISEN, 2008, 128 (09): : 69 - +
  • [36] Application of computational fluid dynamics in chemical engineering
    Department of Biological and Chemical Engineering, Guangxi University of Technology, Liuzhou 545006, China
    不详
    Huagong Xiandai, 2007, 5 (65-68+74):
  • [37] Application of Artificial Intelligence in Computational Fluid Dynamics
    Wang, Bo
    Wang, Jingtao
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, 60 (07) : 2772 - 2790
  • [38] A low temperature-rise and facile manipulation method for single micro objects at the air-substrate interface
    Qi, Xiaomin
    Liu, Pengzhan
    Hu, Junhui
    JOURNAL OF MICROMECHANICS AND MICROENGINEERING, 2019, 29 (10)
  • [39] A STUDY ON THE ENGINE COMPARTMENT AIRFLOW OF A LIGHT AIRCRAFT USING COMPUTATIONAL FLUID DYNAMICS
    Liu, Hsu-jeng
    Su, Chih-chun
    Huang, Sheng-liang
    TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2013, 37 (03) : 641 - 653
  • [40] Interpretable machine learning modeling of temperature rise in a medium voltage switchgear using multiphysics CFD analysis
    Matin, Mahmood
    Dehghanian, Amir
    Zeinaddini, Amir Hossein
    Darijani, Hossein
    CASE STUDIES IN THERMAL ENGINEERING, 2025, 65