基于客流密度的地铁列车空调夏季送风温度控制模型研究

周新喜; 王宗昌; 陈垒; 张玉刚; 伍钒

doi:10.7638/kqdlxxb-2021.0104

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

基于客流密度的地铁列车空调夏季送风温度控制模型研究

高速列车空气动力学专栏 | 更新时间：2026-05-28

- 基于客流密度的地铁列车空调夏季送风温度控制模型研究
- Temperature control of air supply for metro train air conditioner based on passenger density
- 空气动力学学报 2021年39卷第5期页码：162-169
- 作者机构：
  
  1. 中车青岛四方机车车辆股份有限公司,青岛,266111
  2. 中南大学轨道交通安全教育部重点实验室,长沙,410075
- 作者简介：
  
  周新喜（1979-），男，新疆人，研究方向：暖通空调. E-mail：zhouxinxi.sf@crrcgc.cc
  陈垒*（1985-），男，山东人，硕士研究生，研究方向：暖通空调. E-mail：chenlei.sf@crrcgc.cc
- 基金信息：
  
  国家重点研发计划资助（2020YFB1200300ZL）;国家铁路集团科技研究开发计划重大课题（K2020J003）
- DOI：10.7638/kqdlxxb-2021.0104
  中图分类号： U231.5
- 纸质出版：2021
- 稿件说明：
移动端阅览
周新喜, 王宗昌, 陈垒, 等. 基于客流密度的地铁列车空调夏季送风温度控制模型研究[J]. 空气动力学学报, 2021, 39(5): 162−169.

ZHOU Xinxi, WANG Zongchang, CHEN Lei, et al. Temperature control of air supply for metro train air conditioner based on passenger density[J]. 2021, 39(5): 162-169.
周新喜, 王宗昌, 陈垒, 等. 基于客流密度的地铁列车空调夏季送风温度控制模型研究[J]. 空气动力学学报, 2021, 39(5): 162−169. DOI： 10.7638/kqdlxxb-2021.0104

ZHOU Xinxi, WANG Zongchang, CHEN Lei, et al. Temperature control of air supply for metro train air conditioner based on passenger density[J]. 2021, 39(5): 162-169. DOI： 10.7638/kqdlxxb-2021.0104.

摘要

客流密度是影响地铁列车客室内热舒适性环境的重要因素，传统的地铁列车客室温度控制主要是根据UIC-553标准，以室内外温差作为控制核心。本文通过构建全尺寸地铁列车客室-乘客-空调送风耦合的一体化模型，利用实车试验与数值模拟相结合的方法，对地铁列车客室内的热舒适性展开研究。探讨客流密度对地铁列车客室内热舒适环境的影响规律以及不同客流密度下客室平均温度与空调送风温度之间的关系，得到了不同客流密度下能满足人体热舒适性体验的空调送风温度，提出了一种基于客流密度的地铁列车空调夏季送风温度控制模型。

Abstract

Passenger density is an important factor affecting the thermal comfort environment of metro train passenger compartments. The traditional way for controlling the temperature of passenger compartments is mainly based on the UIC-553 standard

where the indoor and outdoor temperature difference is the core factor of the control. The present study constructed an integrated model which couple the passenger compartment

passengers and the air supply of air conditioners for a full-size metro train

and studied the thermal comfort of the passenger compartment by combining approaches of real vehicle tests and numerical simulations. The influence of the passenger density on the thermal comfort environment of the passenger compartment was discussed. A relationship between the average temperature of the passenger compartment and the air supply temperature of air conditioners under different passenger densities was established and the air supply temperature which can meet the human thermal comfort experience was obtained. Finally

an air supply temperature control model for the metro train air conditioner based on passenger density was proposed.

关键词

Keywords

references

SONG M H. Retrospect to the development of urban rail transit in China[J]. Urban Mass Transit, 2018, 21(5): 8-11. (in Chinese)

Konstantinov M, Wagner A C. Numerical Simulation of the Thermal Comfort in a Double Decker Train Cabin [J]. The Third International Conference on Railway Technology: Research, Development and Maintenance, 2016, 110.

SUÁREZ C, IRANZO A, SALVA J, et al. Parametric investigation using computational fluid dynamics of the HVAC air distribution in a railway vehicle for representative weather and operating conditions[J]. Energies, 2017, 10(8): 1074. DOI: 10.3390/en10081074

MA H Q. Research of high-speed train HVAC test-bed[D]. Qingdao, China: Qingdao Tehcnology University, 2011 (in Chinese).

SCHMELING D, BOSBACH J. On the influence of sensible heat release on displacement ventilation in a train compartment[J]. Building and Environment, 2017, 125: 248-260. DOI: 10.1016/j.buildenv.2017.08.039

GUAN H Y, HU S T, LIU G D. Investigation and study on current situation of underground railway carriage thermal environment in summer in moderate zone[J]. Heating Ventilating Air Conditioning, 2019, 49(8): 63-67. (in Chinese)

WANG G, LIU J Y, ZHANG X X, et al. Study on the influence of passenger density on the thermal environment of subway carriage[J]. Journal of Qingdao University of Technology, 2019, 40(4): 71-75, 120. (in Chinese)

BERLITZ T, MATSCHKE G. Interior air flow simulation in railway rolling stock[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2002, 216(4): 231-236. DOI: 10.1243/095440902321029181

YANG L, LI M X, LI X D, et al. The effects of diffuser type on thermal flow and contaminant transport in high-speed train (HST) cabins - a numerical study[J]. International Journal of Ventilation, 2018, 17(1): 48-62. DOI: 10.1080/14733315.2017.1351736

TAO Y, YANG M Z, QIAN B S, et al. Numerical and experimental study on ventilation panel models in a subway passenger compartment[J]. Engineering, 2019, 5(2): 329-336. DOI: 10.1016/j.eng.2018.12.007

ALIAHMADIPOUR M, ABDOLZADEH M, LARI K. Air flow simulation of HVAC system in compartment of a passenger coach[J]. Applied Thermal Engineering, 2017, 123: 973-990. DOI: 10.1016/j.applthermaleng.2017.05.086

KONSTANTINOV M, WAGNER C. Numerical simulation of the thermal comfort in a train cabin[J]. International Journal of Railway Technology, 2015, 4(3): 69-88. DOI: 10.4203/ijrt.4.3.3

国家技术监督局. 中华人民共和国国家标准: 中国成年人人体尺寸 GB 10000—1988[S]. 北京: 中国标准出版社, 1989.

NILSSON H O. Thermal comfort evaluation with virtual manikin methods[J]. Building and Environment, 2007, 42(12): 4000-4005. DOI: 10.1016/j.buildenv.2006.04.027

YE X, KANG Y M, YANG F, et al. Comparison study of contaminant distribution and indoor air quality in large-height spaces between impinging jet and mixing ventilation systems in heating mode[J]. Building and Environment, 2019, 160: 106159. DOI: 10.1016/j.buildenv.2019.106159

PALANISAMY D, KANNAPPAN AYALUR B. Impact of condensate cooled air purging on indoor air quality in an air conditioned laboratory[J]. Building and Environment, 2021, 188: 107511. DOI: 10.1016/j.buildenv.2020.107511

PANG L P, LI P, BAI L Z, et al. Optimization of air distribution mode coupled interior design for civil aircraft cabin[J]. Building and Environment, 2018, 134: 131-145. DOI: 10.1016/j.buildenv.2018.02.019

WANG Z. Study on the Establishment and Application of passenger Spatial Distribution Prediction Model in Urban Rail Train. [D]. Central South University, 2019 (in Chinese).

HU J R. Numerical simulation research of air-flow organization and thermal comfort study in summer for subway carriages[D]. Zhengzhou: Zhengzhou University, 2016 (in Chinese).

CHEN C. Dynamic analysis and weighing error research of air spring bearing system of metro vehicle [D]. Changsha: Central South University, 2011.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

风扇叶片颗粒侵蚀特性的多因素分析与模拟

个体间距对多扑翼气动噪声的影响特性

基于Ac-准则的最优输入设计方法

热防护材料动态烧蚀形貌结构光视觉测量技术

基于神经网络与遗传算法的热气防冰结构优化