Research on prediction of regeneration rate of mine dehumidification solution

doi:10.11949/0438-1157.20241350

CIESC Journal ›› 2025, Vol. 76 ›› Issue (7): 3572-3584.DOI: 10.11949/0438-1157.20241350

• Energy and environmental engineering • Previous Articles Next Articles

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.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:2025-08-13 Published:2025-07-25
Contact: Rongting HUANG

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.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

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)

Abstract

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

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

CLC Number:

TQ 021.4

Rongting HUANG, Yichun TAO, Jianglin CHEN, Shihang LI, Zixi YANG, Shiyuan WANG, Xiangxuan LUO. Research on prediction of regeneration rate of mine dehumidification solution[J]. CIESC Journal, 2025, 76(7): 3572-3584.

黄荣廷, 陶奕淳, 陈江林, 李世航, 杨子系, 王仕远, 罗祥轩. 矿井除湿溶液再生速率预测研究[J]. 化工学报, 2025, 76(7): 3572-3584.

Figures/Tables 12

Table 1 Antoine constant of water vapor pressure in different temperature ranges

序号	a	b	c	温度范围/℃	P的单位
1	5.40221	1838.675	241.413	0~30	bar
	5.20389	1733.926	233.665	30~60	bar
	5.07680	1659.793	227.296	60~90	bar
2	5.11564	1687.537	230.170	0~200	bar
3	7.07406	1657.460	227.020	10~168	kPa

Table2 Formula for calculating partial pressure of air and water vapor

序号	名称	表达式
1	戈夫-格雷奇公式	T>273.15 K： $l g P p ∙ q = - 7.90298 373.16 T - 1 + 5.02808 l g 373.16 T - 1.3816 × 10 - 7 10 11.344 1 - T 373.16 - 1 +$ $8.1328 × 10 - 3 10 - 3.49149 373.16 T - 1 - 1 + l g 1013.246$ T<273.15 K： $l g P p ∙ q = - 9.09718 273.16 T - 1 - 3.56654 l g 273.16 T + 0.876793 1 - T 273.16 + l g 6.1071$
2	马格努斯公式	$P p ∙ q = 6.11 × 10 7.45 T 235 + T$
3	泰登公式	$P p ∙ q = 6.106 e 17.269 T 237.3 + T$
4	纪利公式	$P p ∙ q = 98066 B$ ； $l g B = 0.0141966 - 3.142305 103 T - 103 373.16 + 8.2 l g 373.16 T - 0.0024804 373.16 - T$

Table2 Formula for calculating partial pressure of air and water vapor

序号	名称	表达式
1	戈夫-格雷奇公式	T>273.15 K： $l g P p ∙ q = - 7.90298 373.16 T - 1 + 5.02808 l g 373.16 T - 1.3816 × 10 - 7 10 11.344 1 - T 373.16 - 1 +$ $8.1328 × 10 - 3 10 - 3.49149 373.16 T - 1 - 1 + l g 1013.246$ T<273.15 K： $l g P p ∙ q = - 9.09718 273.16 T - 1 - 3.56654 l g 273.16 T + 0.876793 1 - T 273.16 + l g 6.1071$
2	马格努斯公式	$P p ∙ q = 6.11 × 10 7.45 T 235 + T$
3	泰登公式	$P p ∙ q = 6.106 e 17.269 T 237.3 + T$
4	纪利公式	$P p ∙ q = 98066 B$ ； $l g B = 0.0141966 - 3.142305 103 T - 103 373.16 + 8.2 l g 373.16 T - 0.0024804 373.16 - T$

Fig.1 Experimental apparatus for gas-liquid water vapor exchange

Fig.2 Customized glass components for gas-liquid contact

Fig.3 Gas liquid contact process inside the reaction vessel

Fig.4 Regeneration curve under different solution temperatures

Fig.5 Regeneration curve under different air flow rates

Fig.6 Regeneration curve under different air temperatures

Fig.7 Regeneration curve under different air humidities

Fig.8 Regeneration curves under different solution concentrations

Fig.9 Comparison of deviation between calculated and experimental values before and after model correction for mass concentration below 35%

Fig.10 Activity compensation coefficient curve for mass concentration of 35%—40%

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Research on prediction of regeneration rate of mine dehumidification solution

矿井除湿溶液再生速率预测研究

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