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Numerical simulation investigation on optimal air volume for dilution dust-gas by forced ventilation in fully mechanized driving face

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Abstract

In order to ensure the best dust removal on the basis of the optimal gas emission, and to determine the best dust and gas exhaust air volume, numerical simulation research was carried out on the airflow-dust-gas field of the fully mechanized driving face. The results indicate that under different air volumes, with an increase in the distance from the head-on, the airflow velocity of the fully mechanized driving face first increased and then decreased, and gradually tended to be stable. When Q = 800–900 m3/min, the head-on gas dilution ability is strong and the range of high gas content was the minimum. When Q > 900 m3/min, the gas dilution efficiency was reduced and easy to cause secondary dust. In the height of the respiratory zone, the relationship between the dust concentration distribution and air volume is \(y=803+0.017x-2.06{x}^{2}\), and that between the gas content and air volume is \(y=0.92+\frac{173.9}{0.34\sqrt{2\pi }x}{e}^{\frac{-{[\mathrm{ln}\frac{x}{500}]}^{2}}{0.23}}\). Finally, the optimal air volume range was determined to be Q = 800–900 m3/min. By comparing the measured and simulated airflow velocity, dust concentration, and gas content, the average errors were 6.77%, 6.83%, and 7.73%, respectively, which proves the reliability of the numerical simulation results.

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Funding

This work was financially supported by the National Natural Science Foundation of China (Grant nos. 52274215, 51904171, 52004150), the Qingchuang Science and Technology Project of Universities in Shandong Province, China (Grant no. 2019KJH005), and the Outstanding Young Talents Project of Shandong University of Science and Technology (Grant no. SKR22-5-01).

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Authors and Affiliations

  1. College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

    Gang Zhou, Yating Hu, Ruixin Song, Biao Sun, Yongwei Liu & Yang Yang

  2. State Key Laboratory of Mining Disaster Prevention and Control Co-Founded By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China

    Gang Zhou, Yating Hu, Ruixin Song, Biao Sun, Yongwei Liu & Yang Yang

Authors
  1. Gang Zhou
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  2. Yating Hu
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  3. Ruixin Song
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  4. Biao Sun
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  5. Yongwei Liu
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  6. Yang Yang
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Contributions

All authors contributed to the study conception and design. Gang Zhou: supervision, project administration, funding acquisition. Yating Hu: conceptualization, writing—original draft, writing—review and editing. Ruixin Song: investigation, formal analysis. Biao Sun: data curation. Yongwei Liu, Yang Yang: methodology.

Corresponding author

Correspondence to Biao Sun.

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Ethics approval and consent to participate

All analyses are based on previously published research. The research does not involve ethical and moral issues, so no moral approval is required.

Consent for publication

We would like to submit the enclosed manuscript entitled “Numerical simulation investigation on optimal air volume for dilution dust-gas by forced ventilation in fully mechanized driving face,” which we wish to be considered for publication in “Environmental science and pollution research.” I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part.

Competing interests

We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled, “Numerical simulation investigation on optimal air volume for dilution dust-gas by forced ventilation in fully mechanized driving face.”

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Communicated by Marcus Schulz.

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Zhou, G., Hu, Y., Song, R. et al. Numerical simulation investigation on optimal air volume for dilution dust-gas by forced ventilation in fully mechanized driving face. Environ Sci Pollut Res 30, 17723–17740 (2023). https://doi.org/10.1007/s11356-022-23152-z

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  • DOI: https://doi.org/10.1007/s11356-022-23152-z

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