Islam Md Tariqul, Chen Yijie, Seong Dahae, Verhougstraete Marc, Son Young-Jun
School of Industrial Engineering, Purdue University, West Lafayette, IN, USA.
Systems and Industrial Engineering, University of Arizona, Tucson, AZ, USA.
Heliyon. 2024 Jul 23;10(15):e35092. doi: 10.1016/j.heliyon.2024.e35092. eCollection 2024 Aug 15.
COVID-19 has already claimed over 7 million lives and has infected over 775 million people globally [1]. SARS-CoV-2, the virus that causes Covid-19, spreads primarily through droplets from infected people's airways, rendering Heating, Ventilation, and Air Conditioning (HVAC) systems critical in controlling infection risk levels in the indoor environment. To understand the dynamics of exhaled droplets and aerosols and the percentage of particles that are inhaled, escaped, recirculated, or trapped on different surfaces for a variety of environmental settings, we have presented our findings from the Computational Fluid Dynamics (CFD) modeling to investigate the impact of changing HVAC parameters in this paper. When combined with the spatial and temporal distribution of droplets, this method can be used to assess the potential risk and strengthen resilience. This finding demonstrates the viability and usefulness of CFD for modeling the distribution and dynamics of droplets and aerosols in confined environments. Our study demonstrates that raising the Air Change per Hour (ACH) from 2 to 8 reduces the risk of particle inhalation by nearly 70 %. Additionally, limiting the amount of air recirculation or increasing the amount of fresh air helps to reduce the number of airborne particles in an indoor space. To reduce the potential for respiratory droplet-related transmission and to provide relevant recommendations to the appropriate authority, the same computational approach could be applied to a wide range of ventilated indoor environments such as public buses, restaurants, exhibitions, and theaters.
新冠疫情已导致全球超700万人死亡,超7.75亿人感染[1]。导致新冠疫情的病毒——严重急性呼吸综合征冠状病毒2(SARS-CoV-2)主要通过感染者气道飞沫传播,这使得供暖、通风与空调(HVAC)系统对于控制室内环境感染风险水平至关重要。为了解呼出飞沫和气溶胶的动态变化,以及在各种环境设置下被吸入、逸出、再循环或滞留在不同表面的颗粒百分比,我们在本文中展示了计算流体动力学(CFD)建模的研究结果,以探究改变HVAC参数的影响。结合飞沫的时空分布,该方法可用于评估潜在风险并增强复原力。这一发现证明了CFD在模拟受限环境中飞沫和气溶胶分布及动态变化方面的可行性和实用性。我们的研究表明,将每小时换气次数(ACH)从2次提高到8次可使颗粒吸入风险降低近70%。此外,限制空气再循环量或增加新鲜空气量有助于减少室内空气中的颗粒数量。为降低呼吸道飞沫相关传播的可能性,并向相关部门提供相关建议,同样的计算方法可应用于广泛的通风室内环境,如公共汽车、餐厅、展览馆和剧院。