Title: Modelling of the predicted thermal comfort of the metro passengers under different crowd densities
Authors: Zhiying He; Chunjun Chen; Gang Yang; Lei Yan
Addresses: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China ' School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China ' School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China ' R&T Centre, CRRC Qingdao Sifang Co. Ltd., Qingdao, 266111, China
Abstract: The aim of this study is to find out the nature of the metro passenger's thermal comfort under different crowd densities and different ambient environment factors. Taking the human factors, garment factors and ambient environmental factors into consideration, a sub-model human thermal perception was investigated based on the Fanger's heat balance equation. Also, a steady thermal sub-model of the B-type metro vehicle was built based on the heat conservation among the passengers, the outside-vehicle environment and the air of human-vehicle system. Then, the human thermal perception and its alternation were quantified by applying the PMV index. Simulation results show that the passenger's thermal perception cannot only variates with the airflow velocity, the relative humidity and the volume of the new air, but also with the crowd density.
Keywords: thermal comfort; metro; crowd density; thermal balance; predicted mean vote; PMV.
International Journal of Environmental Engineering, 2019 Vol.10 No.1, pp.70 - 91
Received: 29 Oct 2018
Accepted: 29 Mar 2019
Published online: 23 May 2019 *