Volume 19, Issue 11 (November 2019)                   Modares Mechanical Engineering 2019, 19(11): 2679-2687 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Izadi T, Mehrabian M, Abouali O. Numerical Analysis of the Effect of Train Movement Inside Underground Subway Tunnels on the Air-Exchange Systems by Comparing Fan-Off and Fan-On Conditions. Modares Mechanical Engineering 2019; 19 (11) :2679-2687
URL: http://mme.modares.ac.ir/article-15-27222-en.html
1- Department of Mechanical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran , t.izadi@eng.uk.ac.ir
2- Department of Mechanical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
3- Thermo-Fluid Department, School of Mechanical Engineering, Shiraz University, Shiraz, Iran
Abstract:   (4786 Views)
Nowadays, metro system is widely used for public transportation. Its regular operation consumes large amounts of electrical energy in comparison to other urban systems, while a considerable part of its non-traction energy is consumed for air exchange and ventilation of tunnels and stations. In this research, the train movement inside the four stations and connecting tunnels of underground subway system is simulated. The tunnel and station models contain important units such as ticket hall, staircases, platforms and ventilation systems.  The numerical model is validated by comparing the results with the experimental data available in the literature.  The flow field inside the tunnel and stations induced by the train movement is calculated and compared in fan-off and fan-on conditions. The results show that the train movement changes the flow direction around the fans and grille openings and can severely affect the air-exchange performance. The flow field inside the tunnels and stations is completely dependent on the piston effect caused by the train movement.  Because of the train movement, the volume OF flow exchange through station entrances, and also through station and tunnel inlets becomes ten times of that on the steady state condition with the stationary train. Also the air flow induced by the train movement is much higher than the flow generated by the air-exchange system. Therefore, the optimal use of the piston effect has a significant effect on reducing the energy consumption.
Full-Text [PDF 1142 kb]   (2439 Downloads)    
Article Type: Original Research | Subject: Computational Fluid Dynamic (CFD)
Received: 2018/11/16 | Accepted: 2019/05/21 | Published: 2019/11/21

References
1. London Underground. Environment Report [Internet]. London: London Underground; 2006 [cited 2018 Sep 01]. Available from: http://content.tfl.gov.uk/environmental-report-2006.pdf [Link]
2. Hu SC, Tung YC, Hsu MF. Assessing the potentials of energy-saving strategies for an underground mass rapid transit system with platform doors. International Journal on Architectural Science. 2006;7(3):67-76. [Link]
3. Hong W, Kim S. A study on the energy consumption unit of subway stations in Korea. Building and Environment. 2004;39(12):1497-1503. [Link] [DOI:10.1016/j.buildenv.2004.04.008]
4. Ke MT, Cheng TC, Wang WP. Numerical simulation for optimizing the design of subway environmental control system. Building and Environment. 2002;37(11):1139-1152. [Link] [DOI:10.1016/S0360-1323(01)00105-6]
5. Lin CJ, Chuah YK, Liu CW. A study on underground tunnel ventilation for piston effects influenced by draught relief shaft in subway system. Applied Thermal Engineering. 2008;28(5-6):372-379. [Link] [DOI:10.1016/j.applthermaleng.2007.10.003]
6. Yuan FD, You SJ. CFD simulation and optimization of the ventilation for subway side-platform. Tunnelling and Underground Space Technology. 2007;22(4):474-482. [Link] [DOI:10.1016/j.tust.2006.10.004]
7. Domingo J, Barbero R, Iranzo A, Cuadra D, Servert J, Marcos MA. Analysis and optimization of ventilation systems for an underground transport interchange building under regular and emergency scenarios. Tunnelling and Underground Space Technology. 2011;26(1):179-188. [Link] [DOI:10.1016/j.tust.2010.07.001]
8. Izadi T, Abouali O. Numerical analysis of piston effect in one of the tunnels of Shiraz subway system including the effect of fans. Transportation Research Journal (TRJ). 2012;9(3 suppl 32). [Persian] [Link]
9. Rabani M, Faghih Khorasani A. Numerical and experimental investigation of headwind over a passenger train. Modares Mechanical Engineering. 2014;13(13):100-111. [Persian] [Link]
10. Juraeva M, Ryu KJ, Jeong SH, Song DJ. Influence of mechanical ventilation shaft connecting location on subway tunnel ventilation performance. Journal of Wind Engineering and Industrial Aerodynamics. 2013;119:114-120. [Link] [DOI:10.1016/j.jweia.2013.05.016]
11. Niu J, Wang Y, Zhang L, Yuan Y. Numerical analysis of aerodynamic characteristics of high-speed train with different train nose lengths. International Journal of Heat and Mass Transfer. 2018;127 Part C:188-199. [Link] [DOI:10.1016/j.ijheatmasstransfer.2018.08.041]
12. Cross D, Hughes B, Ingham D, Ma L. Enhancing the piston effect in underground railway tunnels. Tunnelling and Underground Space Technology. 2017;61:71-81. [Link] [DOI:10.1016/j.tust.2016.10.001]
13. Zhang H, Cui T, Liu M, Zheng W, Zhu C, You S, et al. Energy performance investigation of an innovative environmental control system in subway station. Building and Environment. 2017;126:68-81. [Link] [DOI:10.1016/j.buildenv.2017.09.023]
14. Zhang Z, Zhang H, Tan Y, Yang H. Natural wind utilization in the vertical shaft of a super-long highway tunnel and its energy saving effect. Building and Environment. 2018;145:140-152. [Link] [DOI:10.1016/j.buildenv.2018.08.062]
15. Huang Y, Gong XL, Peng YJ, Lin XY, Kim CN. Effects of the ventilation duct arrangement and duct geometry on ventilation performance in a subway tunnel. Tunnelling and Underground Space Technology. 2011;26(6):725-733. [Link] [DOI:10.1016/j.tust.2011.05.005]
16. González ML, Vega MG, Oro JMF, Marigorta EB. Numerical modeling of the piston effect in longitudinal ventilation systems for subway tunnel. Tunnelling and Underground Space Technology. 2014;40:22-37. [Link] [DOI:10.1016/j.tust.2013.09.008]
17. ANSYS. ANSYS Fluent User's Guide [Internet]. Canonsburg: ANSYS, Inc.; 2016 [cited 2018 Mar 01]. Available from: Not Found [Link]
18. Ricco P, Baron A, Molteni P. Nature of pressure waves induced by a high-speed train traveling through a tunnel. Journal of Wind Engineering and Industrial Aerodynamics. 2007;95(8):781-808. [Link] [DOI:10.1016/j.jweia.2007.01.008]
19. Wilcox DC. Turbulence Modeling for CFD. 3rd Edition. California: DCW Industries; 2006. [Link]
20. Kim JY, Kim KY. Experimental and numerical analyses of train-induced unsteady tunnel flow in subway. Tunnelling and Underground Space Technology. 2007;22(2):166-172. [Link] [DOI:10.1016/j.tust.2006.06.001]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.