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Gold Science and Technology ›› 2022, Vol. 30 ›› Issue (5): 753-763.doi: 10.11872/j.issn.1005-2518.2022.05.021

• Mining Technology and Mine Management • Previous Articles     Next Articles

Optimization of Local Ventilation Parameters of Deep Mine Excavation Roadway Based on FLUENT

Duiming GUO1,2(),Guoqing LI1,2(),Jie HOU1,2,Nailian HU1,2   

  1. 1.School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
    2.Key Laboratory of High-Efficient Mining and Safety of Metal Mines, Ministry of Education of the People’s Republic of China, Beijing 100083, China
  • Received:2022-01-19 Revised:2022-05-06 Online:2022-10-31 Published:2022-12-10
  • Contact: Guoqing LI E-mail:guoduiming@163.com;qqlee@ustb.edu.cn

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Abstract:

With the depletion of shallow resources，deep mining has become the development trend of mines.Compared with shallow mining，one of the difficulties of deep mining is high temperature and heat damage.The ventilation lines of deep mining are long and complex，resulting in poor ventilation of deep working face，and the heat can’t be discharged in time.It is complex and difficult to improve the thermal environment of working face with the help of ventilation global optimization，while local ventilation optimization is economical，fast and efficient，so it has become the first choice to improve the thermal environment of working face.The selection of ventilation parameters in traditional local ventilation optimization usually depends on on-site test，which leads to high cost and poor repeatability，and can’t meet the requirements of parameter optimization.With the develop-ment of computer，numerical simulation is applied to the field of ventilation，which provides a new means for the research of local ventilation optimization.Taking a large underground metal mine in China as the research object，the wind temperature of excavation roadway at -945 m level in the mine was measured.Based on the roadway section size，the roadway model was constructed by FLUENT software，and the initialization setting of the simulation was completed in combination with the roadway boundary conditions.By changing the local ventilation parameters，the cooling effects under different ventilation parameters were obtained by numerical simulation of different inlet air temperature，inlet air volume，duct erection height and outlet position.The ventilation schemes under the above different parameters were applied in -945 m horizontal excavation roa-dway.The reliability of the numerical simulation results was verified by comparing the simulated temperature with the measured temperature under different schemes.While selecting the local ventilation parameters with the best cooling effect，taking into account the economy of local ventilation and the safety of underground operation.Finally，the optimal local ventilation parameters with good cooling effect，economy，safety and suitable for deep shaft excavation roadway were obtained.The conclusions are as follows：The comparison between the simulation results and the measured data shows that the two results are in good agreement，which proves that the numerical simulation is reliable and can be extended to other deep level local ventilation and cooling research.The research method of combining numerical simulation and experimental verification is scientific and effective，and improves the shortcomings of high cost and low repeatability of traditional relying solely on experiments.Numerical simulation intuitively shows the distribution characteristics of tunnel air temperature.The optimized local ventilation parameters can effectively improve the high-temperature environment of deep excavation roadway，and have certain guiding significance for local ventilation and cooling in deep mine mining.

Key words: deep mining, excavation roadway, local ventilation, parameter optimization, numerical simulation, high temperature and heat damage

CLC Number: 

  • TD72

Fig.1

Schematic diagram of roadway section （a） and temperature survey point layout （b）"

Table 1

Air temperature distribution in roadway without local ventilation"

截面编号风温/℃
测点a测点b测点c测点d测点e
6030.630.730.730.530.6
5030.530.630.830.330.4
4030.330.530.530.330.2
3030.130.330.330.230.1
2030.030.130.229.930.0
1029.830.030.029.729.7
029.829.829.929.529.5

Fig.2

Physical model of excavation roadway"

Fig.3

Mesh division of cross section and side of heading roadway"

Table 2

Initial conditions and related parameters"

序号参数具体数值或描述
1风流入口风筒出口
2风流出口巷道入口
3巷道壁面传热系数/（W·m-2·K-1）15
4速度类型绝对速度
5求解器稳态求解器
6湍流模型realizable k-ε模型
7出口类型自由出口
8巷道壁面无滑移
9入口风速/（m·s-1）20
10入风温度/℃24
11围岩温度/℃34.5

Fig.4

Distribution of tunnel temperature（a） and temperature of each section（b）"

Fig.5

Air flow distribution（a） and temperature change curves（b） under pressure ventilation conditions"

Fig.6

Change in average temperature of each section under different inlet air temperature conditions"

Fig.7

Change in average temperature of each section（a） and temperature difference of X=30 m section（b） under different ventilation air volume conditions"

Fig.8

Change in average temperature of each section under different duct erection heights conditions"

Fig.9

Change in average temperature of each section under different distances from the air outlet to the working face"

Fig.10

Airflow streamline diagram of roadway under different distances from air outlet to working face"

Fig.11

Comparison diagram of measured temperature and simulated temperature（points d and e）"

Table 3

Comparison of measured temperature and simulated temperature at each measuring point（℃）"

截面 位置/m测点a测点b测点c测点d测点e
实测值模拟值实测值模拟值实测值模拟值实测值模拟值实测值模拟值
026.20026.33626.10026.26626.40026.49626.50026.63626.70026.886
1025.90026.21625.80026.07626.00026.37626.10026.31626.30026.266
2026.10026.25226.10026.39226.20026.41226.20026.40226.20026.372
3026.30026.27626.10026.41626.30026.43626.20026.52626.50026.586
4026.10026.31226.20026.45226.40026.42226.40026.66226.60026.712
5026.20026.32826.50026.46826.20026.43826.40026.77826.70026.718
6026.30026.34026.30026.48026.40026.45026.70026.84027.00026.810

Table 5

Optimization results of local ventilation parameters"

参数优化结果解决的问题
风温/℃26确定考虑降温经济性的最佳入风温度
风量/（m3·s-1）3.39确定节约能源前提下的最佳风量
风筒高度/m1.8确定安全性和降温效果的最佳风筒高度
出风口位置/m9确定排污效果和降温效果最佳的出风口位置
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