Analysis of multi-factor ventilation parameters for reducing energy air pollution in coal mines

Wen Nie, Chenwang Jiang, Ning Sun, Lidian Guo, Qianqian Xue, Qiang Liu, Chengyi Liu, Xingpeng Cha and Shixing Yi

Energy, 2023, vol. 278, issue PA

Abstract: To control the diffusion of highly concentrated coal dust during coal energy mining and determine the order of significance of each factor for dust control, theoretical analysis, numerical simulations, and field measurements were combined in this study. Notably, an innovative orthogonal experiment method was introduced to investigate the effects of four ventilation parameters (i.e., the position of the compressed air duct Lc, position of the exhaust duct Le, compressed air rate Qc, and exhaust rate Qe) on dust control. The results show that the order of significance of the factors for highly concentrated dust is as follows: Qc > Lc > Le > Qe; the order of significance of the factors influencing low-concentrated dust is as follows: Qc > Qe > Le > Lc. The best combination of dust control parameters was obtained via multi-factor analysis: Lc = 5 m, Le = 4 m, Qc = 150 m³/min, Qe = 250 m³/min. According to the results of the field experiments, the diffusion distance of the highly concentrated dust LH is reduced to 9.3 m, and the diffusion distance of the low-concentrated dust LL is reduced to 36.3 m, which effectively improves the air quality during coal energy mining.

Keywords: CFD numerical Simulation; Orthogonal experiment design; Dust pollution control; Tunneling (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:278:y:2023:i:pa:s036054422301126x

DOI: 10.1016/j.energy.2023.127732

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