Optimising multi-vent module-based adaptive ventilation using a novel parameter for improved indoor air quality and health protection

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外文摘要：As infectious respiratory diseases are highly transmissible through the air,researchers have improved traditional total volume air distribution systems to reduce infection risk.Multi-vent module-based adaptive ventilation(MAV)is a novel ventilation type that facilitates the switching of inlets and outlets to suit different indoor scenarios without changing ductwork layout.However,little research has evaluated MAV module sizing and air velocity selection,both related to MAV system efficiency in removing contaminants and the corresponding level of protection for occupants in the ventilated room.Therefore,the module-source offset ratio(MSOR)is proposed,based on the MAV module size and its distance from an infected occupant,to inform selection of optimal MAV module parameters.Computational fluid dynamics simulations illustrated contaminant distribution in a two-person MAV equipped office.Discrete phase particles modelled respiratory contaminants from the infected occupant,and contaminant concentration distributions were compared under four MAV air distribution layouts,three air velocities,and three module sizes considered using the MSOR.Results indicate that lower air velocities favour rising contaminant levels,provided the ventilation rate is met.Optimal contaminant discharge can be achieved when the line of outlets is located directly above the infected occupant.Using this parameter to guide MAV system design,85.7％of contaminants may be rendered harmless to the human body within 120 s using the default air vent layout.A more appropriate supply air velocity and air vent layout increases this value to 91.4％.These results are expected to inform the deployment of MAV systems to reduce airborne infection risk.

外文关键词：

multi-vent module-based adaptive ventilationcomputational fluid dynamicsindoor air qualityinfection control

作者：

Haotian Zhang、Xiaoxiao Ding、Weirong Zhang、Weijia Zhang、Yingli Xuan

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作者单位：

Key Laboratory of Green Built Environment and Energy Efficient Technology,Beijing University of Technology,Beijing 100124,China

Department of Architecture,Tokyo Polytechnic University,Tokyo,Japan

基金：

国家自然科学基金special fund of Beijing Key Laboratory of Indoor Air Quality Evaluation and Controljoint research project of the Wind Engineering Research Center,Tokyo Polytechnic University(MEXT(Japan)Promotion of Distinctjoint research project of the Wind Engineering Research Center,Tokyo Polytechnic University(MEXT(Japan)Promotion of Distinct

项目编号：

52078009BZ0344KF20-05JPMXP0619217840JURC 20202007

出版年：

2024

DOI：

10.1007/s12273-023-1063-8

建筑模拟(英文版)

ISSN：1996-3599

年,卷(期)：2024.17(1)

参考文献量29