Zhao Yu, Feng Yao, Ma Liangdong
School of Civil Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, 2 Linggong Road, Ganjingzi District, Dalian, 116024, China.
J Build Eng. 2022 Jul 1;51:104276. doi: 10.1016/j.jobe.2022.104276. Epub 2022 Mar 4.
The rapid development of airports and the rapid spread of coronavirus disease 2019 (COVID-19) have brought increased attention to indoor environment quality, airflow organization, key pollutant dispersion, and ventilation modes in airport terminals. However, the characteristics of these parameters, especially carbon dioxide (CO) and aerosol diffusion, are not fully understood. Therefore, in this study, the airflow patterns; CO and aerosol dispersion; and several thermal environment indices, including temperature, wind velocity, and predicted mean vote (PMV), of an airport terminal departure hall with high numbers of occupied passenger were numerically evaluated using the realizable and passive scalar models. The efficacies of three common ventilation modes, namely, up-supply and up-return, up-supply and down-return with different sides, and up-supply and down-return with the same side, were evaluated based on the CO removal efficiency and spreading range of aerosols. The results indicated that under high numbers of occupied passenger conditions, these ventilation modes vary slightly, with respect to create a comfortable and healthy environment. In particular, the up-supply and down-return with different sides mode was the best among the modes considered, when comparing the indices of temperature, wind speed PMV, and CO emission efficiency. Conversely, with respect to decreasing the risk of aerosol exposure, the up-supply and down-return with the same side mode was the best. Overall, the results from this study provide fundamental information for predicting CO and aerosol exposure levels and will act as a reference for the design and operation of ventilation systems in airport terminal buildings.
机场的快速发展以及2019冠状病毒病(COVID-19)的迅速传播,使得人们越来越关注机场候机楼的室内环境质量、气流组织、关键污染物扩散和通风模式。然而,这些参数的特性,尤其是二氧化碳(CO)和气溶胶扩散,尚未得到充分了解。因此,在本研究中,使用可实现的k-ε模型和被动标量模型,对一个有大量乘客候机的机场候机楼出发大厅的气流模式、CO和气溶胶扩散以及包括温度、风速和预测平均投票数(PMV)在内的几个热环境指标进行了数值评估。基于CO去除效率和气溶胶的扩散范围,评估了三种常见通风模式的效果,即上送下回、不同侧的上送下排和同侧的上送下排。结果表明,在大量乘客候机的条件下,这些通风模式在营造舒适健康环境方面差异不大。特别是,在比较温度、风速、PMV和CO排放效率等指标时,不同侧的上送下排模式是所考虑模式中最好的。相反,在降低气溶胶暴露风险方面,同侧的上送下排模式是最好的。总体而言,本研究结果为预测CO和气溶胶暴露水平提供了基础信息,并将为机场候机楼建筑通风系统的设计和运行提供参考。