耦合室内空气质量和动态热模型,评估教室中独立式高效空气过滤器的潜在影响

Henry C. Burridge , Sen Liu , Sara Mohamed , Samuel G.A. Wood , Cath J. Noakes
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引用次数: 0

摘要

教室环境的质量,包括通风、空气质量和温度条件,对儿童的健康和学习成绩有着重要影响。人们普遍建议使用便携式 HEPA 过滤器空气净化器,作为减少接触微粒物质和空气传播病毒的一种策略。然而,有必要量化此类设备的相对优势,包括对能源使用的影响。我们提出了一个简单的动态热和空气质量耦合模型,并将其应用于自然通风的教室(代表现代和维多利亚时代的建筑)。我们考虑了增加或不增加高效过滤器、减少开窗的情况,并探讨了二氧化碳 (CO2)、颗粒物 PM2.5、空气传播病毒 RNA、教室温度和能源使用的浓度。结果表明,根据教室的设计和开窗情况,添加高效空气过滤器预计可使 PM2.5 降低 40-60%,病毒 RNA 降低 30-50%。运行高效过滤器的能源成本可能仅占教室供暖成本的 1%-2%。在开启高效过滤器并减少开窗次数的情况下(考虑到过滤器额外的洁净空气输送率),预计供暖成本可降低-13%,而在冬季模拟中,最大降低幅度可达-46%。在这些情况下,高效空气过滤器显著降低了 PM2.5 和病毒 RNA 的浓度,但二氧化碳浓度却明显升高。该模型提供了一种机制,用于探索通风和空气清洁策略对暴露和能源成本的相对影响,从而了解权衡利弊的关键所在。
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Coupled indoor air quality and dynamic thermal modelling to assess the potential impacts of standalone HEPA filter units in classrooms

The quality of the classroom environment, including ventilation, air quality and thermal conditions, has an important impact on children’s health and academic achievement. The use of portable HEPA filter air cleaners is widely suggested as a strategy to mitigate exposure to particulate matter and airborne viruses. However, there is a need to quantify the relative benefits of such devices including the impacts on energy use. We present a simple coupled dynamic thermal and air quality model and apply it to naturally ventilated classrooms, representative of modern and Victorian era construction. We consider the addition of HEPA filters with, and without, reduced opening of windows, and explore concentrations of carbon dioxide (CO2), particulate matter PM2.5, airborne viral RNA, classroom temperature and energy use. Results indicate the addition of HEPA filters was predicted to reduce PM2.5 by 40–60 % and viral RNA by 30–50 % depending on the classroom design and window opening behaviour. The energy cost of running HEPA filters is likely to be only 1 %–2 % of the classroom heating costs. In scenarios when HEPA filters were on and window opening was reduced (to account for the additional clean air delivery rate of the filters), the heating cost was predicted to be reduced by as much as − 13 %, and these maximum reductions grew to − 46 % in wintertime simulations. In these scenarios the HEPA filters result in a notable reduction in PM2.5 and viral RNA, but the CO2 concentration is significantly higher. The model provides a mechanism for exploring the relative impact of ventilation and air cleaning strategies on both exposures and energy costs, enabling an understanding of where trade-offs lie.

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Corrigendum to “Ventilation characteristics in a hospital where a COVID-19 outbreak occurred in the winter of 2020” [Indoor Environ. 2 (2025) 100065] Implementing Bayesian inference on a stochastic CO2-based grey-box model CO2 levels and SARS-CoV-2 transmission in public schools: A retrospective cohort study in Montreal (Canada) Cognition, economic decision-making, and physiological response to carbon dioxide Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space
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