化工学报 ›› 2025, Vol. 76 ›› Issue (7): 3572-3584.DOI: 10.11949/0438-1157.20241350

• 能源和环境工程 • 上一篇    下一篇

矿井除湿溶液再生速率预测研究

黄荣廷1,2,3,4(), 陶奕淳1,4, 陈江林1,4, 李世航5, 杨子系1, 王仕远1, 罗祥轩1   

  1. 1.中国矿业大学安全工程学院煤矿灾害防控全国重点实验室,江苏 徐州 221116
    2.中国矿业大学煤矿瓦斯与火灾防治 教育部重点实验室,江苏 徐州 221116
    3.中国矿业大学煤矿瓦斯治理国家工程研究中心,江苏 徐州 221116
    4.中国矿业大学安全工程学院江苏省粉尘治理与职业防护工程研究中心,江苏 徐州 221116
    5.中国矿业大学碳中和研究院江苏省煤基温室气体减排与资源化利用重点实验室,江苏 徐州 221116
  • 收稿日期:2024-11-25 修回日期:2025-01-09 出版日期:2025-07-25 发布日期:2025-08-13
  • 通讯作者: 黄荣廷
  • 作者简介:黄荣廷(1991—),男,博士,讲师,huangrongting@cumt.edu.cn
  • 基金资助:
    国家自然科学基金青年基金项目(52304266);江苏省基础研究计划自然科学基金—青年基金项目(BK20221143)

Research on prediction of regeneration rate of mine dehumidification solution

Rongting HUANG1,2,3,4(), Yichun TAO1,4, Jianglin CHEN1,4, Shihang LI5, Zixi YANG1, Shiyuan WANG1, Xiangxuan LUO1   

  1. 1.State Key Laboratory of Coal Mine Disaster Prevention and Control, School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
    2.Key Laboratory of Gas and Fire Control for Coal Mines, Ministry of Education,China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
    3.National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
    4.Jiangsu Engineering Research Center of Dust Control and Occupational Protection, School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
    5.Jiangsu Key Laboratory of Coal-based Greenhouse Gas Control and Utilization, Carbon Neutrality Institute, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
  • Received:2024-11-25 Revised:2025-01-09 Online:2025-07-25 Published:2025-08-13
  • Contact: Rongting HUANG

摘要:

基于道尔顿蒸发定律、Antoine方程等气液传质理论,提出一种针对质量分数为40%及以下双组分混合除湿溶液的矿井再生预测模型,通过实验验证模型并研究溶液温度、空气温度、空气含湿量、空气流量及溶液质量分数对再生速率的影响。结果表明:溶液质量分数为35%以下时,风速函数修正后的预测模型对除湿溶液再生速率预测较为准确,预测值与实验值偏差均值仅为0.51%,标准差为5.27%;溶液质量分数为35%~40%时,采用活度补偿系数进一步修正后的模型可准确预测该浓度范围内溶液再生过程。此外,研究发现,溶液温度从50℃升高到70℃时系统平均再生速率从1.09 g/min提高到3.27 g/min,溶液质量分数从30%到40%,系统平均再生速率降低了38.09%,影响显著;空气温度、含湿量及流量的变化对系统再生效率影响较小,空气温度从25℃升高到35℃时系统平均再生速率提高了1.77%,空气含湿量从14 g/kg提高至22 g/kg时系统平均再生速率降低了6.05%。研究结果可为除湿溶液矿井空气接触式再生工程实践提供参考。

关键词: 矿井除湿溶液, 空气接触式再生, 传质, 预测模型, 实验验证, 再生

Abstract:

Based on gas-liquid mass transfer theories, including Dalton’s law of evaporation and Antoine’s equation, this article presents a downhole regeneration prediction model specifically designed for two-component mixed dehumidification solutions with a mass ratio of 40% or less. The model is verified by experiments and the effects of solution temperature, air temperature, air moisture content, air flow rate and solution mass ratio on the regenerated rate are studied. The results showed that when the solution mass ratio was below 35%, the prediction model modified by the wind speed function was more accurate in predicting the regeneration rate of the dehumidification solution. The mean deviation between the predicted value and the experimental value was only 0.51%, and the standard deviation was 5.27%. When the mass ratio of the solution is between 35% and 40%, the model further modified by the activity compensation coefficient can accurately predict the regeneration process of the solution within this concentration range. In addition, the study found that when the solution temperature increased from 50℃ to 70℃ and the solution mass ratio changed from 30% to 40%, the average regeneration rate increased from 1.09 g/min to 3.27 g/min and decreased by 38.09%, respectively, with significant effects. The changes in air temperature, moisture content, and flow rate have a relatively small impact on the regeneration efficiency of the system. When the air temperature increases from 25℃ to 35℃ and the air moisture content increases from 14 g/kg to 22 g/kg, the average regeneration rate of the system increases by 1.77% and decreases by 6.05%, respectively. The model and research results can provide guidance for the practical application of dehumidification solution mine air regeneration engineering.

Key words: mine dehumidification solution, air contact regeneration, mass transfer, predictive model, experimental validation, regeneration

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