A new PM2.5-based CADR method to measure air infiltration rate of buildings

Liu, Cong; Ji, Siyu; Zhou, Fengjiao; Lin, Qingbin; Chen, Yiqi; Shao, Xueming

doi:10.1007/s12273-020-0676-4

Cited by 10 publications

(2 citation statements)

References 40 publications

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“…Over time, the change in indoor PM concentration levels can be modelled as a function that mainly depends on source terms (S i ) and loss terms (L i ) and can be represented by Eq. (3) (Ben-David and Waring, 2016;Fu et al, 2021aFu et al, , 2021bKim and Choi, 2019;Liu et al, 2021;Serfozo et al, 2014).…”

Section: Mass Balance Model Of Indoor Particlesmentioning

confidence: 99%

Experimental and numerical analysis of indoor air quality affected by outdoor air particulate levels (PM1.0, PM2.5 and PM10), room infiltration rate, and occupants' behaviour

Kim

Huang

et al. 2022

Science of The Total Environment

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Section: Mass Balance Model Of Indoor Particlesmentioning

confidence: 99%

Experimental and numerical analysis of indoor air quality affected by outdoor air particulate levels (PM1.0, PM2.5 and PM10), room infiltration rate, and occupants' behaviour

Kim

Huang

et al. 2022

Science of The Total Environment

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“…In contrast, uncontrolled air changes (Q IF ) between the room, outdoors, and the corridor are usually highly uncertain because they are constantly affected by the outdoor environment and occupant behavior (e.g., opening windows and doors, etc.) (Liu et al 2021a;Liu et al 2021b) which can result in affecting the indoor temperature and air quality in an unsteady way. At present, substantial studies have investigated the effects of infiltration on various indoor environments, such as airport terminals (Liu et al 2021a), residences (Sun et al 2022), and offices (Hu et al 2022a).…”

Section: Introductionmentioning

confidence: 99%

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

Fan

Zhi

et al. 2023

Build. Simul.

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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 2.5 and CO 2 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 2.5 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 −1 . 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.

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Study on impact factors of tracer gas method in investigations of gaseous pollutant transport and building ventilation

Gao

Wang²,

Wu³

et al. 2022

Build. Simul.

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A new PM2.5-based CADR method to measure air infiltration rate of buildings

Cited by 10 publications

References 40 publications

Experimental and numerical analysis of indoor air quality affected by outdoor air particulate levels (PM1.0, PM2.5 and PM10), room infiltration rate, and occupants' behaviour

Experimental and numerical analysis of indoor air quality affected by outdoor air particulate levels (PM1.0, PM2.5 and PM10), room infiltration rate, and occupants' behaviour

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

Study on impact factors of tracer gas method in investigations of gaseous pollutant transport and building ventilation

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