American Journal of Science, Engineering and Technology

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CFD Application to Estimate Air Flow Rate for Normal Ventilation in Metro Trains and Stations

Received: 6 October 2023    Accepted: 6 November 2023    Published: 17 November 2023
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Abstract

Due to the problem of lacking enough fresh air for passengers in underground metro stations, increasing attention has been paid to improving ventilation in underground metro stations. In this paper, the distribution characteristics of airflow fields, geometry of the station, and the influence of airflow rate changes on passengers’ ventilation conditions have been investigated and simulated according to computational fluid dynamics (CFD) theory. In addition, the volume of the stations was treated with a central air conditioning system, including several air handling units (AHU) connected to chilled water. Air flow for trains and stations has been calculated and compared with the actual data of the National Authority for Tunnels (NAT). It has been found that the highest air flow rate Q for Attaba station is 24.97 m3/s at ticket hall level, and the lowest air flow rate is 5.23 m3/s at platform level. Also, the required air flow rate is 111.02 m3/s for trains has been calculated. This value is acceptable and suitable in comparison to the actual results from the NAT. This is to reduce the necessary heat and improve the air quality inside underground metro stations. It is concluded that, in cases where an air flow rate is required in stations, the efficiency of the fans must be superior to 70%. The rotation speed of the fans will range from 750 to 1480 revolutions per minute (r.p.m).

DOI 10.11648/j.ajset.20230804.18
Published in American Journal of Science, Engineering and Technology (Volume 8, Issue 4, December 2023)
Page(s) 226-234
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Computational Fluid Dynamics (CFD), Air Flow Rate, Stations, Air Treatment and Improvement

References
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[3] Pan, S., Liu, Y., Xie, L., Wang, X., Yuan, Y., and X., Jia. A thermal comfort field study on subway passengers during air-conditioning season in Beijing. Sustainable Cities and Society, 2020. 61: pp. 102-218.
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[14] Hartman, H. L., Mutmansky, J. M., Ramani, R. V., and Y. J. Wang. Mine ventilation and air conditioning. 2012: John Wiley & Sons. p. 752.
[15] Jiangyan, M., Zhang, X. in., Angui, L. i., Baoshun, D., Wenchao, L. v., Yongzhen, Guo., Wenrong, Z., and Lin. Huang. Analyses of the improvement of subway station thermal environment in northern severe cold regions. Building and environment, 2018. 143: pp. 579-590.
[16] Pan, S., Liu, J., Xie, J., Sun, Y., Cui, N., Zhang, L., and B. Zheng. A review of the piston effect in subway stations. Advances in Mechanical Engineering, 2013. 5: pp. 95-205.
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  • APA Style

    Abuelkassem Mohamed, M., Ibrahim Abdelrasoul, E., Ramadan Hamed, S. (2023). CFD Application to Estimate Air Flow Rate for Normal Ventilation in Metro Trains and Stations. American Journal of Science, Engineering and Technology, 8(4), 226-234. https://doi.org/10.11648/j.ajset.20230804.18

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    ACS Style

    Abuelkassem Mohamed, M.; Ibrahim Abdelrasoul, E.; Ramadan Hamed, S. CFD Application to Estimate Air Flow Rate for Normal Ventilation in Metro Trains and Stations. Am. J. Sci. Eng. Technol. 2023, 8(4), 226-234. doi: 10.11648/j.ajset.20230804.18

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    AMA Style

    Abuelkassem Mohamed M, Ibrahim Abdelrasoul E, Ramadan Hamed S. CFD Application to Estimate Air Flow Rate for Normal Ventilation in Metro Trains and Stations. Am J Sci Eng Technol. 2023;8(4):226-234. doi: 10.11648/j.ajset.20230804.18

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  • @article{10.11648/j.ajset.20230804.18,
      author = {Mohamed Abuelkassem Mohamed and Elseman Ibrahim Abdelrasoul and Sayed Ramadan Hamed},
      title = {CFD Application to Estimate Air Flow Rate for Normal Ventilation in Metro Trains and Stations},
      journal = {American Journal of Science, Engineering and Technology},
      volume = {8},
      number = {4},
      pages = {226-234},
      doi = {10.11648/j.ajset.20230804.18},
      url = {https://doi.org/10.11648/j.ajset.20230804.18},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajset.20230804.18},
      abstract = {Due to the problem of lacking enough fresh air for passengers in underground metro stations, increasing attention has been paid to improving ventilation in underground metro stations. In this paper, the distribution characteristics of airflow fields, geometry of the station, and the influence of airflow rate changes on passengers’ ventilation conditions have been investigated and simulated according to computational fluid dynamics (CFD) theory. In addition, the volume of the stations was treated with a central air conditioning system, including several air handling units (AHU) connected to chilled water. Air flow for trains and stations has been calculated and compared with the actual data of the National Authority for Tunnels (NAT). It has been found that the highest air flow rate Q for Attaba station is 24.97 m3/s at ticket hall level, and the lowest air flow rate is 5.23 m3/s at platform level. Also, the required air flow rate is 111.02 m3/s for trains has been calculated. This value is acceptable and suitable in comparison to the actual results from the NAT. This is to reduce the necessary heat and improve the air quality inside underground metro stations. It is concluded that, in cases where an air flow rate is required in stations, the efficiency of the fans must be superior to 70%. The rotation speed of the fans will range from 750 to 1480 revolutions per minute (r.p.m).
    },
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - CFD Application to Estimate Air Flow Rate for Normal Ventilation in Metro Trains and Stations
    AU  - Mohamed Abuelkassem Mohamed
    AU  - Elseman Ibrahim Abdelrasoul
    AU  - Sayed Ramadan Hamed
    Y1  - 2023/11/17
    PY  - 2023
    N1  - https://doi.org/10.11648/j.ajset.20230804.18
    DO  - 10.11648/j.ajset.20230804.18
    T2  - American Journal of Science, Engineering and Technology
    JF  - American Journal of Science, Engineering and Technology
    JO  - American Journal of Science, Engineering and Technology
    SP  - 226
    EP  - 234
    PB  - Science Publishing Group
    SN  - 2578-8353
    UR  - https://doi.org/10.11648/j.ajset.20230804.18
    AB  - Due to the problem of lacking enough fresh air for passengers in underground metro stations, increasing attention has been paid to improving ventilation in underground metro stations. In this paper, the distribution characteristics of airflow fields, geometry of the station, and the influence of airflow rate changes on passengers’ ventilation conditions have been investigated and simulated according to computational fluid dynamics (CFD) theory. In addition, the volume of the stations was treated with a central air conditioning system, including several air handling units (AHU) connected to chilled water. Air flow for trains and stations has been calculated and compared with the actual data of the National Authority for Tunnels (NAT). It has been found that the highest air flow rate Q for Attaba station is 24.97 m3/s at ticket hall level, and the lowest air flow rate is 5.23 m3/s at platform level. Also, the required air flow rate is 111.02 m3/s for trains has been calculated. This value is acceptable and suitable in comparison to the actual results from the NAT. This is to reduce the necessary heat and improve the air quality inside underground metro stations. It is concluded that, in cases where an air flow rate is required in stations, the efficiency of the fans must be superior to 70%. The rotation speed of the fans will range from 750 to 1480 revolutions per minute (r.p.m).
    
    VL  - 8
    IS  - 4
    ER  - 

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Author Information
  • Department of Mining and Metallurgical Engineering, Engineering College, Assiut University, Assiut, Egypt

  • Department of Mining and Metallurgical Engineering, Engineering College, Assiut University, Assiut, Egypt

  • Department of Mining and Metallurgical Engineering, Engineering College, Assiut University, Assiut, Egypt

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