A review on underground mine ventilation system

Authors

DOI:

https://doi.org/10.18311/jmmf/2021/27334

Keywords:

Ventilation, underground mine, software, atkinson, hardy cross method, Kirchhoff's

Abstract

In the field of mines, there are dozens of methods concerned with the optimization of ventilation system in underground mines and how bad ventilation system is playing a major effect on miners and mine's activities. The ventilation system is considered very important because it consumed high energy of mines of total power consumption. This paper is a review of previous studies, which have been done before on design of ventilation system and its optimization methods like, using of software tools to simulate the numerical equations based on the pressure, temperature, flow rate, and other effected parameters, which are recorded by various ways of surveying. It has observed that Ventsim software is widely used because of its flexibility in dynamic simulation based on various parameters included deep, fan position and flow rate.

References

Adjiski, V., Mirakovski, D., Despodov, Z. & Mijalkovski,

S. (2019): Journal of Mining and Environment (JME)

Determining optimal distance from outlet of auxiliary

forcing ventilation system to development of heading in

underground mines. 10, 821–832.

An, H., Lin, B. & Lv, L. (2011): Positioning mine ventilation

recirculation winds based on the Depth-First search

method. Procedia Eng. 24, 400–403.

Chen, K. et al. (2015): Optimization of air quantity

regulation in mine ventilation networks using the

improved differential evolution algorithm and critical path

method. Int. J. Min. Sci. Technol. 25, 79–84.

De Souza, E. (2007): Optimization of complex mine

ventilation systems with computer network modelling.

IFAC Proc. Vol. 12, 323–330.

Dingyi, W., Cuifeng, D., Haiyue, X. & Lianfu, Z. (2019):

Influencing factors and correlation analysis of ventilation

and cooling in deep excavation roadway. Case Stud.

Therm. Eng. 14, 100483.

Dudar, O. I. & Dudar, E. S. (2019): Analysis of Mine

Ventilation Network by 1D FEM: Simulation of Fans and

Natural Draught. IOP Conf. Ser. Earth Environ. Sci. 272.

DziurzyDski, W., Krach, A. & PaBka, T. (2017): Airflow

sensitivity assessment based on underground mine

ventilation systems modeling. Energies 10, 1–15.

Fei-min, S., Bo-hui, C. & Jian, Y. (2009): Study on

construction and quantification of evaluation index

system of mine ventilation system. Procedia Earth

Planet. Sci. 1, 114–122.

Feng, W., Zhu, F. & Lv, H. (2011): The use of 3D simulation

system in mine ventilation management. Procedia Eng.

, 1370–1379.

Hartman, H. L. (2006): Mine ventilation and air

conditioning. (John Wiley & Sons).

Jia, J., Jia, P. & Li, Z. (2020): Theoretical study on stability

of mine ventilation network based on sensitivity analysis.

Energy Sci. Eng. 8, 2823–2830.

Jiang, A., Zhou, B., Hu, H. & Luan, J. (2019): Research on

Mine Ventilation Optimization Based on 3D Simulation

System. IOP Conf. Ser. Earth Environ. Sci. 384.

Li, Z. et al. (2020): Increasing Oxygen Mass Fraction in

Blind Headings of a Plateau Metal Mine by Oxygen

Supply Duct Design: A CFD Modelling Approach. Math.

Probl. Eng.

Liang, Y., Zhang, J., Ren, T., Wang, Z. & Song, S. (2018):

Application of ventilation simulation to spontaneous

combustion control in underground coal mine: A case study

from Bulianta colliery. Int. J. Min. Sci. Technol. 28, 231–242.

Lian-jiang, W. (2009): Topology theory of mine ventilation

network. Procedia Earth Planet. Sci. 1, 354–360.

Luo, W. et al. (2014): Reliability calculation of mine

ventilation network. Procedia Eng. 84, 752–757.

Maleki, S., Sotoudeh, F. & Sereshki, F. (2018): Application

of VENTSIM 3D and mathematical programming to

optimize underground mine ventilation network: A case

study. J. Min. Environ. 9, 741–752.

Nel, A. J. H., Vosloo, J. C. & Mathews, M. J. (2018): Evaluating

complex mine ventilation operational changes through

simulations. J. Energy South. Africa 29, 22–32 (2018).

Pach, G. et al. (2020): Reversal ventilation as a method of

fire hazard mitigation in the mines. Energies 13, 1–17.

Semin, M. A. & Levin, L. Y. (2019): Stability of air flows in

mine ventilation networks. Process Saf. Environ. Prot.

, 167–171.

Shen, Y. & Wang, H. N. Study and application on

simulation and optimization system for the mine

ventilation network. Procedia Eng. 26, 236–242 (2011).

Shriwas, M. & Calizaya, F. Automation in detection of

recirculation in a booster fan ventilation network. Int. J.

Min. Sci. Technol. 28, 513–517 (2018).

Wang, P., Zhu, K., Zhou, Y., Liu, J. & Shi, C. Research and

application of controlled circulating ventilation in deep

mining. Procedia Eng. 84, 758–763 (2014).

Watson, C. & Marshall, J. (2018): Estimating underground

mine ventilation friction factors from low density 3D data

acquired by a moving LiDAR. Int. J. Min. Sci. Technol.

, 657–662.

Wei, G. (2011): Optimization of mine ventilation system

based on bionics algorithm. Procedia Eng. 26, 1614–1619.

Zhou, A., Wang, K., Wu, L. & Xiao, Y. (2018): Influence of

gas ventilation pressure on the stability of airways airflow.

Int. J. Min. Sci. Technol. 28, 297–301.

Downloads

Published

2021-03-15

How to Cite

Haitham Kanam, O., & Obaid Ahmed, M. (2021). A review on underground mine ventilation system. Journal of Mines, Metals and Fuels, 69(2), 62–70. https://doi.org/10.18311/jmmf/2021/27334