Journal of Applied Science and Engineering

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Dongdong Du1, Wenjie Lei1This email address is being protected from spambots. You need JavaScript enabled to view it., Xiang Li1,2, and Zhe Li1

1School of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo Henan, 454000, China

2Zheng Yuan International Mining Co, LTD, Beijing, 101300, China


Received: July 5, 2023
Accepted: October 30, 2023
Publication Date: December 20, 2023

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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With the deepening of mining depth and breadth, the number of ventilation branches increases, and the mine ventilation system becomes more and more complicated. To address the issue of unreasonable air volume distribution in certain middle levels of the complex ventilation system at the Shaxi copper mine, Ventsim simulation is employed to model the air network. An optimization mechanism, known as "design-feedbackcorrection", is adopted to gradually achieve the optimization target. The ventilation optimization plan is then formulated and implemented at the site, followed by subsequent measurements. The study’s findings reveal that the final specific optimization measures include the installation of air-blocking curtains at the underground slope road entrance of the -800m level, the use of frequency converters for the north wing auxiliary fans at the -465m, -585m, and -770m levels, the closure of the south wing auxiliary fans at the -705m level, and the installation of regulating wind windows at the -650m, -705m, -770m, and -800m levels. An analysis of the optimized simulation data and measured data demonstrates a similarity between the optimized simulation and field measurement results, with an error within 5%. The overall air volume in each middle level achieves the optimization target of 30m³/s return air in the north wing and 40m3/s return air in the south wing. The validity of the numerical simulation results was confirmed through field tests, which mutually supported the findings and facilitated air distribution according to the specific requirements, ensuring the stable and orderly operation of the ventilation system.

Keywords: Ventsim; ventilation simulation; ventilation system; air network solving; ventilation optimization

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