Accessibility navigation

An analytical model to predict the temperature in subway-tunnels by coupling thermal mass and ventilation

Sun, T., Luo, Z. ORCID: and Chay, T. (2021) An analytical model to predict the temperature in subway-tunnels by coupling thermal mass and ventilation. Journal of Building Engineering, 44. 102564. ISSN 2352-7102

[img] Text - Accepted Version
· Restricted to Repository staff only until 10 May 2022.
· Available under License Creative Commons Attribution Non-commercial No Derivatives.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/j.jobe.2021.102564


There is an increasing incidence of overheating in subway tunnels in recent years especially in old subways without air-conditioning e.g., London Underground. There is still lack of a clear understanding how tunnel-air temperature is determined by the complex thermal processes in subway tunnels. In this study, a mathematical model that describes the thermal processes in deeply buried subway tunnels was developed. Analytical solution was derived by separating the solution into time-averaged component and periodic component. The results show that the time-averaged component of tunnel-air temperature will approach steady state as the time tends to infinity, which has a positive linear relation with internal heat-source and average ambient temperature. Active cooling or heat-recovery systems could soon become a necessity in subway tunnels due to both global warming and increasing internal heat generation. Compared with outdoor air, the amplitude of the tunnel-air temperature shows a significant reduction in the day period but not in the year period. The surrounding soil temperature will keep changing for thousands of years. This study offers a new physical insight to analyse and mitigate overheating in subway tunnels.

Item Type:Article
Divisions:Science > School of the Built Environment > Urban Living group
Science > School of the Built Environment > Energy and Environmental Engineering group
ID Code:97472

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation