11 Jun Design, Modelling and Simulation | Experimental and computational study on the key ventilation issues affecting air quality and thermal comfort in train cabins
Design, Modelling and Simulation
Experimental and computational study on the key ventilation issues affecting air quality and thermal comfort in train cabins
Airlinx (Joanne Xia) / RMIT University (Jiyuan Tu)
This project involved modelling airflow from the air vents within a train environment to determine optimum airflow based on different passenger numbers. Achieving an optimal temperature ensures passenger comfort is high, while also reducing the impact of contaminants in the airflow, with a specialised test facility established onsite at Airlinx.
1 July 2014 to 30 June 2020
Total contracted budget (including in-kind)
- The project team were able to develop a comprehensive model for air flow in train carriages enabling different designs to be considered for optimised passenger comfort.
- Various designs of airconditioning diffusors were modelled and tested in the Airlinx laboratory, enabling new diffusor designs to be proposed.
- Modelling was extended to high speed trains to examine the effect of ambient conditions on carriage air, such as solar radiation and the effect of air pressure in tunnels.
Li, N., Yang, L., Li, X., Li, X., Tu, J. and Cheung, C. Multi-objective optimization for designing of high-speed train cabin ventilation system using particle swarm optimization and multi-fidelity Kriging. Building and Environment, 155 (2019): 161-174.
Yang, L., Li, M., Li, X. and Tu, J. (2018). The effects of diffuser type on thermal flow and contaminant transport in high-speed train (HST) cabins – A numerical study. International Journal of Ventilation 17(1): 48-62.
Yang, L, Li, X. and Tu, J. Numerical study of diffuser type effects on transport characteristics of contaminants in high-speed train cabins. The 20th Australian Fluid Mechanics Conference (AFMC 2016). 5-8 Dec, 2016. Perth, Australia.