Liu Yang, Pan Wuxuan, Long Zhengwei
Tianjin Key Laboratory of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin, China.
Sustain Cities Soc. 2021 Dec;75:103291. doi: 10.1016/j.scs.2021.103291. Epub 2021 Aug 21.
Under the current COVID-19 epidemic conditions, stratum ventilation can provide treated fresh air directly into the human breathing zone, improving the air quality for inhalation. However, in the design of air supply parameters for stratum ventilation, the traditional trial-and-error and experimental methods are inefficient and time consuming, and they cannot be used to identify the optimal air supply parameters from a large number of parameters. Therefore, in this paper, the inverse design method based on proper orthogonal decomposition (POD) was applied to the design of ventilation parameters for a room with stratum ventilation. Predicted mean vote (PMV), predicted percentage dissatisfied (PPD) and droplet nuclei concentration in the human breathing zone were selected as design objectives to optimize air supply parameters. The transmission of COVID-19 was controlled by reducing the concentration of droplet nuclei in the respiratory area. The results show that, compared with the trial-and-error method, the inverse design method based on POD is more than 90% faster. POD method can greatly expand the sample size. Considering the dispersion of exhaled droplet nuclei in the room, the appropriate stratum ventilation parameters can reduce the concentration of fine droplet nuclei by more than 20% compared with the traditional design parameters.
在当前新冠疫情条件下，分层通风可将经过处理的新鲜空气直接输送至人体呼吸区，改善吸入空气质量。然而，在分层通风的送风参数设计中，传统的试错法和实验法效率低下且耗时，无法从大量参数中确定最优送风参数。因此，本文将基于本征正交分解（POD）的逆向设计方法应用于分层通风房间的通风参数设计。选取预测平均投票值（PMV）、预测不满意百分比（PPD）和人体呼吸区内的飞沫核浓度作为设计目标来优化送风参数。通过降低呼吸区域内飞沫核的浓度来控制新冠病毒的传播。结果表明，与试错法相比，基于POD的逆向设计方法速度快90%以上。POD方法可大幅扩大样本量。考虑到呼出飞沫核在房间内的扩散情况，与传统设计参数相比，合适的分层通风参数可使细飞沫核浓度降低20%以上。
