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Parameter optimization of a passive dust removal system at the coal transfer point of a crushing station.

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Title: Parameter optimization of a passive dust removal system at the coal transfer point of a crushing station.
Authors: Zhang, Lizhong1 (AUTHOR), Yu, Long1 (AUTHOR), Han, Baohu2 (AUTHOR), Liu, Xiao1 (AUTHOR), Li, Jian3 (AUTHOR), Jiang, Xiaoliang3 (AUTHOR), Zhou, Qingyun3 (AUTHOR), Zhang, Jiangshi4 (AUTHOR) zhangjs@cumtb.edu.cn
Source: Particulate Science & Technology. 2025, Vol. 43 Issue 6, p860-874. 15p.
Subjects: Dust removal, Dust control, Coal transportation, Process optimization, Simulation methods & models, Dust removal equipment, Coal-fired power plants
Abstract: The dust pollution is severe during the coal transfer process in the coal transfer system. To reduce dust generation, a simulation model was established based on the crushing station of the Heidaigou open-pit coal mine. The EDEM-Fluent coupling method was used to calculate the induced airflow generated by the coal flow, and a passive dust removal system, incorporating a return air duct, baffle plate, and dust barrier, was designed and optimized to balance the static pressure difference between the upper and lower parts of the system and suppress dust overflow. The study results indicate that the optimal dust suppression effects are achieved with a return air duct height (h) of 1.6 m, a distance (L1) of 2.0 m between the air inlet and the discharge pipe, a distance (L2) of 0.5 m between the baffle plate and the return air duct, a distance (L3) of 0 m between the dust barrier and the air inlet of the return air duct, and an angle (θ) of 20° toward the transfer chute. Based on these optimized parameters, the passive dust removal system was applied to the coal transfer system at the crushing station, resulting in an average dust concentration reduction of 71.76%. [ABSTRACT FROM AUTHOR]
Copyright of Particulate Science & Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Header DbId: egs
DbLabel: Engineering Source
An: 186989839
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PubTypeId: academicJournal
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  Data: Parameter optimization of a passive dust removal system at the coal transfer point of a crushing station.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Lizhong%22">Zhang, Lizhong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Long%22">Yu, Long</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Han%2C+Baohu%22">Han, Baohu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Xiao%22">Liu, Xiao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Jian%22">Li, Jian</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Xiaoliang%22">Jiang, Xiaoliang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Qingyun%22">Zhou, Qingyun</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jiangshi%22">Zhang, Jiangshi</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> zhangjs@cumtb.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Particulate+Science+%26+Technology%22">Particulate Science & Technology</searchLink>. 2025, Vol. 43 Issue 6, p860-874. 15p.
– Name: Subject
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  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Dust+removal%22">Dust removal</searchLink><br /><searchLink fieldCode="DE" term="%22Dust+control%22">Dust control</searchLink><br /><searchLink fieldCode="DE" term="%22Coal+transportation%22">Coal transportation</searchLink><br /><searchLink fieldCode="DE" term="%22Process+optimization%22">Process optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Dust+removal+equipment%22">Dust removal equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Coal-fired+power+plants%22">Coal-fired power plants</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The dust pollution is severe during the coal transfer process in the coal transfer system. To reduce dust generation, a simulation model was established based on the crushing station of the Heidaigou open-pit coal mine. The EDEM-Fluent coupling method was used to calculate the induced airflow generated by the coal flow, and a passive dust removal system, incorporating a return air duct, baffle plate, and dust barrier, was designed and optimized to balance the static pressure difference between the upper and lower parts of the system and suppress dust overflow. The study results indicate that the optimal dust suppression effects are achieved with a return air duct height (h) of 1.6 m, a distance (L1) of 2.0 m between the air inlet and the discharge pipe, a distance (L2) of 0.5 m between the baffle plate and the return air duct, a distance (L3) of 0 m between the dust barrier and the air inlet of the return air duct, and an angle (θ) of 20° toward the transfer chute. Based on these optimized parameters, the passive dust removal system was applied to the coal transfer system at the crushing station, resulting in an average dust concentration reduction of 71.76%. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Particulate Science & Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/02726351.2025.2495821
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 860
    Subjects:
      – SubjectFull: Dust removal
        Type: general
      – SubjectFull: Dust control
        Type: general
      – SubjectFull: Coal transportation
        Type: general
      – SubjectFull: Process optimization
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Dust removal equipment
        Type: general
      – SubjectFull: Coal-fired power plants
        Type: general
    Titles:
      – TitleFull: Parameter optimization of a passive dust removal system at the coal transfer point of a crushing station.
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            NameFull: Zhang, Lizhong
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            NameFull: Yu, Long
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            NameFull: Han, Baohu
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            NameFull: Liu, Xiao
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            – D: 01
              M: 08
              Text: 2025
              Type: published
              Y: 2025
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              Value: 43
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