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Flow Patterns and Temperature Distribution in an Underground Metro Station

[+] Author Affiliations
Alaa Hasan, Tarek ElGammal, Ryoichi S. Amano

University of Wisconsin-Milwaukee, Milwaukee, WI

Essam E. Khalil

Cairo University, Cairo, Egypt

Paper No. ES2018-7413, pp. V001T06A004; 11 pages
  • ASME 2018 12th International Conference on Energy Sustainability collocated with the ASME 2018 Power Conference and the ASME 2018 Nuclear Forum
  • ASME 2018 12th International Conference on Energy Sustainability
  • Lake Buena Vista, Florida, USA, June 24–28, 2018
  • Conference Sponsors: Advanced Energy Systems Division, Solar Energy Division
  • ISBN: 978-0-7918-5141-8
  • Copyright © 2018 by ASME


Accurate control of thermal conditions in large space buildings like an underground metro station is a significant issue because passengers’ thermal comfort must be maintained at a satisfactory level. The large eddy simulation (LES) model was adopted while using the computational fluid dynamics (CFD) software “STAR CCM+” to set up a CFD station model to predict static air temperature, velocity, relative humidity and predicted mean vote (PMV), which indicates the passengers’ thermal comfort. The increase in the number of passengers using the model station is taken into consideration. The studied cases covered all the possible modes of the station box, these modes are (1) the station box is empty of trains, (2) the presence of one train inside the station box, (3) the presence of two trains inside the station box. The objective is to bring the passengers’ thermal comfort in all modes to the acceptable level. The operation of under platform exhaust (UPE) system is considered in case of train presence inside the station box. The use of UPE is more energy efficient than depending entirely on the air conditioning system to maintain the thermal conditions comfortable.

Copyright © 2018 by ASME



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