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Thermal Environment Control at Deep Intelligent Coal Mines in China Based on Human Factors

Author

Listed:
  • Qiaoyun Han

    (School of Civil Engineering, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Debo Lin

    (School of Civil Engineering, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Xiaojie Yang

    (State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
    School of Mechanics and Civil Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China)

  • Kongqing Li

    (School of Civil Engineering, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Wei Yin

    (School of Civil Engineering, Hunan University of Science and Technology, Xiangtan 411201, China)

Abstract

Mechanical cooling of the entire mining tunnel, widely used in deep coal mines, has a significant energy-intensive consumption, particularly for intelligent mining tunnels. Therefore, localized cooling would benefit the intelligent mining industry. Current studies on the temperature, relative humidity, and air velocity under localized cooling for working protection are still unclear. A modified predicted heat strain model that is appropriate for warm and humid conditions is presented in this article and calculated using MATLAB. Results reveal that air temperature was the primary factor affecting underground miners’ safety. Increasing air velocity would improve the working environment when the thermal humidity index is lower than 32. Reducing total working time and wet bulb temperature would benefit underground miners’ security. For the cooling of intelligent mining tunnels, the recommended air velocity would be 2 m/s, and the maximum wet bulb temperature would be 28 °C for the 6-h working period and 26 °C for the 8-h working period. Results would be beneficial to the cooling of intelligent mining in China.

Suggested Citation

  • Qiaoyun Han & Debo Lin & Xiaojie Yang & Kongqing Li & Wei Yin, 2023. "Thermal Environment Control at Deep Intelligent Coal Mines in China Based on Human Factors," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3193-:d:1063295
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    References listed on IDEAS

    as
    1. Xiaoli Hao & Chenxin Guo & Yaolin Lin & Haiqiao Wang & Heqing Liu, 2016. "Analysis of Heat Stress and the Indoor Climate Control Requirements for Movable Refuge Chambers," IJERPH, MDPI, vol. 13(5), pages 1-10, May.
    2. Vosloo, Jan & Liebenberg, Leon & Velleman, Douglas, 2012. "Case study: Energy savings for a deep-mine water reticulation system," Applied Energy, Elsevier, vol. 92(C), pages 328-335.
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    Cited by:

    1. Jiamin Tong & Yongbo Zhang & Na Zhao & Aijing Wu & Feifei Shi & Junxing Chen, 2023. "Study on the Temperature Field Change Characteristics of Coal Gangue Dumps under the Influence of Ambient Temperature in Heat Pipe Treatment," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    2. Ying Sheng, 2024. "Advanced Technologies on Indoor Environment Quality in Sustainable Buildings," Sustainability, MDPI, vol. 16(16), pages 1-3, August.

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