CFD Application to Estimate Air Flow Rate for Normal Ventilation in Metro Trains and Stations:: Science Publishing Group

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

Mohamed Abuelkassem Mohamed, Elseman Ibrahim Abdelrasoul, Sayed Ramadan Hamed

Corresponding Author: Sayed Ramadan Hamed

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

American Journal of Science, Engineering and Technology, Volume 8, Issue 4, December 2023

Pages: 226-234

Received: Oct. 06, 2023

Accepted: Nov. 06, 2023

Published: Nov. 17, 2023

DOI: 10.11648/j.ajset.20230804.18

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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).

Keywords

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

To cite this article

Mohamed Abuelkassem Mohamed, Elseman Ibrahim Abdelrasoul, Sayed Ramadan Hamed. (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

Copyright © 2023 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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