
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
Published:2021
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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.
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。
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.
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.
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