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Operation Optimization of Thermal Management System of Deep Metal Mine Based on Heat Current Method and Prediction Model

Author

Listed:
  • Wenpu Wang

    (Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China)

  • Wei Shao

    (Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China
    Shandong Institute of Advanced Technology, Jinan 250100, China)

  • Shuo Wang

    (Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China)

  • Junling Liu

    (Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China)

  • Kun Shao

    (Shandong Institute of Advanced Technology, Jinan 250100, China)

  • Zhuoqun Cao

    (Shandong Institute of Advanced Technology, Jinan 250100, China)

  • Yu Liu

    (Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China)

  • Zheng Cui

    (Shandong Institute of Advanced Technology, Jinan 250100, China)

Abstract

With the increasing depth of metal mining, thermal damage has become a serious problem that restricts mining. The thermal management system of refrigeration and ventilation is an indispensable technology in the mining of deep metal mines, which plays a key role in improving the thermal and humid environment of mines. Optimizing the performance of refrigeration and ventilation systems to reduce energy consumption has become a focus of researchers’ attention. Based on the heat current method, this research establishes the overall heat transfer and flow constraint model of the refrigeration and ventilation system, and proposes an iterative algorithm that combines the refrigerator energy consumption model and the artificial neural network model of heat exchangers. The Lagrange multiplier method is used to optimize the system with the goal of minimizing the total power consumption of the system. The results show that under 9.1 kW cooling load conditions, the total energy consumption of the system reduces by 16.5%, and the COP of the refrigerator increases by 11.6%. The optimization results provide significant guidance for the production and energy consumption reduction of the deep metal mines.

Suggested Citation

  • Wenpu Wang & Wei Shao & Shuo Wang & Junling Liu & Kun Shao & Zhuoqun Cao & Yu Liu & Zheng Cui, 2023. "Operation Optimization of Thermal Management System of Deep Metal Mine Based on Heat Current Method and Prediction Model," Energies, MDPI, vol. 16(18), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6626-:d:1239991
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    References listed on IDEAS

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    Cited by:

    1. Nikodem Szlązak & Marek Korzec, 2024. "Conditions That Determine Changing the Function of Mine Shafts in a Gassy Coal Mine—A Case Study," Energies, MDPI, vol. 17(6), pages 1-19, March.
    2. Luwei Ding & Zetian Zhang & Baiyi Li & Shengming Qi & Hengfeng Liu & Shuo Liu, 2024. "Feasibility Investigation of Geothermal Energy Heating System in Mining Area: Application of Mine Cooling and Aquifer Thermal Energy Exploitation Technique," Energies, MDPI, vol. 17(5), pages 1-17, March.

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