Analisis Pengaruh Variasi Ukuran Bukaan Regulator terhadap Debit Udara dan Resistansi pada Ventilasi Tambang

Dimas Agung Permadi; Nuhindro Priagung Widodo; Muhammad Faisal Seprizal; Zella Navtalia; Andy Yanottama

Authors

Dimas Agung Permadi Universitas Jambi Author
Nuhindro Priagung Widodo Institut Teknologi Bandung Author https://orcid.org/0000-0001-7015-7845
Muhammad Faisal Seprizal Universitas Jambi Author
Zella Navtalia Universitas Jambi Author
Andy Yanottama Universitas Jambi Author

Keywords:

regulator, mine ventilation, airflow discharge, resistance, software simulation

Abstract

Mine ventilation is a critical component in ensuring occupational safety and health. A key element of this system is the regulator, which controls airflow quantity within the ventilation network. This study analyzes the influence of regulator opening size and shape on airflow discharge and resistance through theoretical calculation, laboratory testing, and simulation using specialized software. A ventilation model was constructed using 10.9 cm diameter PVC pipes and a 225 W centrifugal fan, with regulator openings in circular and square shapes and several opening ratios. Airflow discharge and resistance were calculated using the McPherson equation and compared with laboratory measurements and software-based simulation results. The findings show that variations in opening size and shape significantly affect airflow and resistance. Increasing the opening ratio results in higher airflow and lower resistance, with square openings exhibiting greater resistance at small openings than circular ones. The calculation method demonstrates low error at medium to large openings, making it a reliable basis for the preliminary design of underground mine ventilation systems.

References

[1] M. J. McPherson, Subsurface Ventilation and Environmental Engineering. Springer, 1993. doi: 10.1007/978-94-011-1550-6.

[2] Y. Xue and others, “Bibliometric analysis and review of mine ventilation research (2010–2023),” Sci. Total Environ., vol. 906, 2024, doi: 10.1016/j.scitotenv.2023.167732.

[3] H. Yi and others, “Applications of computational fluid dynamics for mine ventilation: A review,” Energies, vol. 15, no. 22, 2022, doi: 10.3390/en15228405.

[4] H. Zhang and others, “An application of CFD to predict shock loss factors at raise junctions in underground mine ventilation systems,” Mining, Metall. Explor., 2024, doi: 10.1007/s42461-024-00984-6.

[5] P. Tukkaraja and S. Bhamidipati, “Estimation of shock loss factors at shaft bottom junction using CFD,” Mining, Metall. Explor., vol. 36, no. 5, pp. 1107–1119, 2019, doi: 10.1007/s42461-019-0099-x.

[6] P. Cao and others, “Inversion of mine ventilation resistance coefficients enhanced by deep reinforcement learning,” Process Saf. Environ. Prot., vol. 182, 2024, doi: 10.1016/j.psep.2023.12.005.

[7] L. Liu and others, “Mine ventilation system reliability evaluation based on a Markov chain,” Sci. Rep., vol. 12, 2022, doi: 10.1038/s41598-022-22098-z.

[8] J. Qian and others, “CFD modeling of ventilation and dust flow behavior in dead-end drifts of underground mines,” Int. J. Environ. Res. Public Health, vol. 17, no. 16, 2020, doi: 10.3390/ijerph17166006.

[9] S. Maleki and others, “Application of VENTSIM 3D and mathematical programming to optimize underground mine ventilation: a case study,” J. Min. Environ., vol. 9, no. 2, 2018, doi: 10.22044/jme.2018.6793.1503.

[10] B. Yu and others, “Energy-saving optimization of mine ventilation system using nonlinear programming,” Front. Energy Res., vol. 10, 2022, doi: 10.3389/fenrg.2022.892345.

[11] M. Semin and L. Levin, “Mathematical modeling of air distribution in mines considering different ventilation modes,” Mathematics, vol. 11, no. 15, 2023, doi: 10.3390/math11150889.

[12] X. Pei and others, “Experimental study on ventilation supply control in deep mines,” Int. J. Min. Sci. Technol., vol. 30, no. 5, 2020, doi: 10.1016/j.ijmst.2020.05.013.

[13] D. J. Brake, “Fire modelling in underground mines using Ventsim VENTFIRE,” Min. Technol., vol. 128, no. 4, 2019, doi: 10.1080/25726668.2019.1686553.

[14] G. Danko and others, “Dynamic models in atmospheric monitoring for underground mines,” Mining, Metall. Explor., vol. 37, 2020, doi: 10.1007/s42461-019-0099-x.

[15] D. Chen and others, “CFD modelling of ventilation optimization for improving mine air quality,” J. Clean. Prod., vol. 389, 2023, doi: 10.1016/j.jclepro.2023.136164.