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在两种情况下借助净化器对机械通气进行多目标优化:正常运行和减缓呼吸道传染病传播。

Multi-objective optimization of mechanical ventilation with the aid of purifiers in two scenarios: Regular operation and mitigating the spread of respiratory infectious diseases.

作者信息

Li Yiqun, Fan Yujie, Zhi Chengqiang, Ye Wei, Zhang Xu

机构信息

School of Mechanical Engineering, Tongji University, Shanghai, 201804 China.

Department of Building Science, Tsinghua University, Beijing, 100084 China.

出版信息

Build Simul. 2023;16(5):795-811. doi: 10.1007/s12273-023-0999-z. Epub 2023 Apr 25.

Abstract

UNLABELLED

COVID-19 and its impact on society have raised concerns about scaling up mechanical ventilation (MV) systems and the energy consequences. This paper attempted to combine MV and portable air cleaners (PACs) to achieve acceptable indoor air quality (IAQ) and energy reduction in two scenarios: regular operation and mitigating the spread of respiratory infectious diseases (RIDs). We proposed a multi-objective optimization method that combined the NSGA-II and TOPSIS techniques to determine the total equivalent ventilation rate of the MV-PAC system in both scenarios. The concentrations of PM and CO were primary indicators for IAQ. The modified Wells-Riley equation was adopted to predict RID transmissions. An open office with an MV-PAC system was used to demonstrate the method's applicability. Meanwhile, a field study was conducted to validate the method and evaluate occupants' perceptions of the MV-PAC system. Results showed that optimal solutions of the combined system can be obtained based on various IAQ requirements, seasons, outdoor conditions, etc. For regular operation, PACs were generally prioritized to maintain IAQ while reducing energy consumption even when outdoor PM concentration was high. MV can remain constant or be reduced at low occupancies. In RID scenarios, it is possible to mitigate transmissions when the quanta were < 48 h. No significant difference was found in the subjective perception of the MV and PACs. Moreover, the effects of infiltration on the optimal solution can be substantial. Nonetheless, our results suggested that an MV-PAC system can replace the MV system for offices for daily use and RID mitigation.

ELECTRONIC SUPPLEMENTARY MATERIAL ESM

The Appendix is available in the online version of this article at 10.1007/s12273-023-0999-z.

摘要

未标注

新型冠状病毒肺炎(COVID-19)及其对社会的影响引发了人们对扩大机械通风(MV)系统规模及其能源后果的担忧。本文试图将机械通风和便携式空气净化器(PAC)相结合,以在两种场景下实现可接受的室内空气质量(IAQ)并降低能耗:正常运行和减轻呼吸道传染病(RIDs)的传播。我们提出了一种多目标优化方法,该方法结合了非支配排序遗传算法-II(NSGA-II)和理想解排序法(TOPSIS)技术,以确定两种场景下MV-PAC系统的总等效通风率。颗粒物(PM)和一氧化碳(CO)的浓度是室内空气质量的主要指标。采用修正的威尔斯-莱利方程来预测呼吸道传染病的传播。使用配备MV-PAC系统的开放式办公室来证明该方法的适用性。同时,进行了一项实地研究,以验证该方法并评估居住者对MV-PAC系统的看法。结果表明,基于各种室内空气质量要求、季节、室外条件等,可以获得组合系统的最优解。对于正常运行,即使室外PM浓度较高,通常也优先使用PAC来维持室内空气质量,同时降低能耗。在低 occupancy 时,MV可以保持不变或降低。在呼吸道传染病场景中,当量子<48小时时,有可能减轻传播。在对MV和PAC的主观感受方面未发现显著差异。此外,渗透对最优解的影响可能很大。尽管如此,我们的结果表明,MV-PAC系统可以替代办公室日常使用的MV系统并减轻呼吸道传染病的传播。

电子补充材料ESM:附录可在本文的在线版本中获取,链接为10.1007/s12273-023-0999-z。

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