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利用通风解决方案权衡空气传播疾病防控与能源消耗

The Trade-Off between Airborne Pandemic Control and Energy Consumption Using Air Ventilation Solutions.

机构信息

Department of Information Science, Bar-Ilan University, Ramat-Gan 5290002, Israel.

Department of Cancer Biology, Cancer Institute, University College London, London WC1E 6DD, UK.

出版信息

Sensors (Basel). 2022 Nov 8;22(22):8594. doi: 10.3390/s22228594.

Abstract

Airborne diseases cause high mortality and adverse socioeconomic consequences. Due to urbanization, more people spend more time indoors. According to recent research, air ventilation reduces long-range airborne transmission in indoor settings. However, air ventilation solutions often incur significant energy costs and ecological footprints. The trade-offs between energy consumption and pandemic control indoors have not yet been thoroughly analyzed. In this work, we use advanced sensors to monitor the energy consumption and pandemic control capabilities of an air-conditioning system, a pedestal fan, and an open window in hospital rooms, classrooms, and conference rooms. A simulation of an indoor airborne pandemic spread of Coronavirus (COVID-19) is used to analyze the Pareto front. For the three examined room types, the Pareto front consists of all three air ventilation solutions, with some ventilation configurations demonstrating significant inefficiencies. Specifically, air-conditioning is found to be efficient only at a very high energy cost and fans seem to pose a reasonable alternative. To conclude, a more informed ventilation policy can bring about a more desirable compromise between energy consumption and pandemic spread control.

摘要

空气传播疾病会导致高死亡率和不良的社会经济后果。由于城市化进程,更多的人在室内花费更多的时间。最近的研究表明,空气通风可以减少室内长距离空气传播。然而,空气通风解决方案通常会产生巨大的能源成本和生态足迹。室内能源消耗和大流行控制之间的权衡尚未得到彻底分析。在这项工作中,我们使用先进的传感器来监测医院病房、教室和会议室中空调系统、落地扇和开着的窗户的能源消耗和大流行控制能力。使用冠状病毒(COVID-19)室内空气传播大流行的模拟来分析 Pareto 前沿。对于三种被检查的房间类型,Pareto 前沿由所有三种空气通风解决方案组成,其中一些通风配置显示出明显的效率低下。具体来说,空调在非常高的能源成本下才有效,而风扇似乎是一种合理的替代方案。总之,更明智的通风政策可以在能源消耗和大流行控制之间实现更理想的妥协。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32f3/9694317/2178b464137e/sensors-22-08594-g001.jpg

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