Perforated plate ventilation system and dynamics of infectious respiratory particle transmission

Caiyue Song, Mengmeng Cheng, Benben Kong, Zhuo Zeng, Nenglin Yuan, Hong Shi

International Journal of Mechanical System Dynamics ›› 2024, Vol. 4 ›› Issue (4) : 497-514.

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International Journal of Mechanical System Dynamics ›› 2024, Vol. 4 ›› Issue (4) : 497-514. DOI: 10.1002/msd2.12134
RESEARCH ARTICLE

Perforated plate ventilation system and dynamics of infectious respiratory particle transmission

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Abstract

With the removal of indoor pollutants and the assurance of air quality emerging as critical research topics, the optimization of the internal environment in offices, where people stay for extended periods, is essential for controlling the spread of infectious respiratory particles. Frequent movements of personnel and the operation of doors and windows within offices significantly impact the mechanisms of droplet transmission, warranting further investigation. This study employs computational fluid dynamics simulations to explore the droplet dispersion characteristics and pollutant removal efficiency of the simplified model of perforated plate ventilation system (PPVS) (the diameter of the air supply openings has been reasonably simplified and uniformly set to 0.02 m) in office settings, as well as the impact of dynamic door operation scenarios on droplet spread and concentrations in breathing zones. To optimize the ventilation system's pollutant removal efficiency, airflow velocities (2.86, 3.18, and 5.00m/s) are varied, with simulations conducted at the optimal velocity of 3.18 m/s. The effects of continuous door operations, door-opening directions (towards the office and towards the isolation room), and opening speeds (π/4, π/6, π/8, and π/10 rad/s) are also examined, revealing significant impacts on droplet spread. Results indicate that PPVS effectively reduces indoor pollutant concentrations at all tested airflow velocities, with the optimal speed identified as 3.18 m/s. Additionally, door-opening direction and speed can significantly influence droplet spread. Opening doors towards isolation rooms at smaller angles (less than 30°) effectively reduces droplet concentrations in personnel breathing zones, thereby mitigating the risk of droplet transmission. Faster door-opening speeds also contribute to lower droplet concentrations in these zones. This innovative study explores the impacts of PPVS and dynamic door operation dynamics on droplet transmission during respiratory disease outbreaks, providing valuable theoretical insights and technical support for disease prevention and indoor air quality improvement.

Keywords

dynamic simulation / indoor pollutant / infectious respiratory particles / perforated plate ventilation system

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Caiyue Song, Mengmeng Cheng, Benben Kong, Zhuo Zeng, Nenglin Yuan, Hong Shi. Perforated plate ventilation system and dynamics of infectious respiratory particle transmission. International Journal of Mechanical System Dynamics, 2024, 4(4): 497‒514 https://doi.org/10.1002/msd2.12134

References

[1]
Gomez-Flores A, Hwang G, Ilyas S, Kim H. A CFD study of the transport and fate of airborne droplets in a ventilated office: the role of droplet-droplet interactions. Front Environ Sci Eng. 2022;16(3):31.
CrossRef Google scholar
[2]
Rajendran RR, Țurcanu FE, Tawfiqur RM, Askarpour H. Computational fluid dynamic analysis of corona virus patients breathing in an airplane. Phys Fluids. 2023;35(3):035129.
CrossRef Google scholar
[3]
Morawska L, Cao J. Airborne transmission of SARS-CoV-2: the world should face the reality. Environ Int. 2020;139:105730.
CrossRef Google scholar
[4]
Jennison M. Atomizing of mouth and nose secretions into the air as revealed by high speed photography. Aerobiology. 1942;17:106-128.
[5]
Chao CYH, Wan MP, Morawska L, et al. Characterization of expiration air jets and droplet size distributions immediately at the mouth opening. J Aerosol Sci. 2009;40(2):122-133.
CrossRef Google scholar
[6]
Gupta JK, Lin CH, Chen Q. Flow dynamics and characterization of a cough: flow dynamics and characterization of a cough. Indoor Air. 2009;19(6):517-525.
CrossRef Google scholar
[7]
Gupta JK, Lin CH, Chen Q. Characterizing exhaled airflow from breathing and talking. Indoor Air. 2010;20(1):31-39.
CrossRef Google scholar
[8]
Wang CC, Prather KA, Sznitman J, et al. Airborne transmission of respiratory viruses. Science. 2021;373(6558):eabd9149.
CrossRef Google scholar
[9]
Nazaroff WW. Indoor aerosol science aspects of SARS-CoV-2 transmission. Indoor Air. 2022;32:e12970.
CrossRef Google scholar
[10]
Zhao X, Liu S, Yin Y, Zhang T, Chen Q. Airborne transmission of COVID-19 virus in enclosed spaces: an overview of research methods. Indoor Air. 2022;32:e13056.
CrossRef Google scholar
[11]
Liu L, Wei J, Li Y, Ooi A. Evaporation and dispersion of respiratory droplets from coughing. Indoor Air. 2017;27:179-190.
CrossRef Google scholar
[12]
Deng Z, Chen Q. What is suitable social distancing for people wearing face masks during the COVID-19 pandemic? Indoor Air. 2022;32:e12935.
CrossRef Google scholar
[13]
Mesquita PJBD, Delp WW, Chan WR, Bahnfleth WP, Singer BC. Control of airborne infectious disease in buildings: evidence and research priorities. Indoor Air. 2022;32:e12965.
CrossRef Google scholar
[14]
Cheng M, Kong B, Song C, Li Y, Shi H. Optimization of cabin virus transmission suppression technology based on hanging curtain physical isolation. Appl Sci. 2024;14(7):2948.
CrossRef Google scholar
[15]
Li Y, Kong B, Cheng M, Song C, Jiang Y, Shi H. Effectiveness of portable air cleaners in mitigating respiratory virus transmission risk. Phys Scr. 2024;99(4):045021.
CrossRef Google scholar
[16]
Arjmandi H, Amini R, Kashfi M, Abikenari MA, Davani A. Minimizing the COVID-19 spread in hospitals through optimization of ventilation systems. Phys Fluids. 2022;34(3):037103.
CrossRef Google scholar
[17]
Zhang S, Sun L, Li S. Simulation of airflow organization in medical cabin based on simplification model of orifice plate supply. In: ZY Jiang, ed. Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017). Atlantis Press;2018.
[18]
Chludzińska M. The effect of front pattern perforation shape on thermal sensations of occupants in personalized ventilation systems. Build Environ. 2019;151:140-147.
CrossRef Google scholar
[19]
Choi JI, Edwards JR. Large-eddy simulation of human-induced contaminant transport in room compartments: contaminant transport in room compartments. Indoor Air. 2012;22(1):77-87.
CrossRef Google scholar
[20]
Khare P, Marr LC. Simulation of vertical concentration gradient of influenza viruses in dust resuspended by walking. Indoor Air. 2015;25:428-440.
CrossRef Google scholar
[21]
Kong B, Li Y, Cheng M, et al. Droplet dispersion characteristics during human walking in a queue. Phys Fluids. 2023;35:103322.
CrossRef Google scholar
[22]
Hendiger J, Chludzińska M, Ziętek P. Influence of the pressure difference and door swing on heavy contaminants migration between rooms. PLoS ONE. 2016;11:e0155159.
CrossRef Google scholar
[23]
Kalliomäki P, Saarinen P, Tang JW, Koskela H. Airflow patterns through single hinged and sliding doors in hospital isolation rooms. Int J Vent. 2015;14:111-126.
CrossRef Google scholar
[24]
Saarinen P, Kalliomäki P, Koskela H, Tang JW. Large-eddy simulation of the containment failure in isolation rooms with a sliding door-an experimental and modelling study. Build Simul. 2018;11:585-596.
CrossRef Google scholar
[25]
Kalliomäki P, Hagström K, Itkonen H, Grönvall I, Koskela H. Effectiveness of directional airflow in reducing containment failures in hospital isolation rooms generated by door opening. Build Environ. 2019;158:83-93.
CrossRef Google scholar
[26]
Dao HT, Kim KS. Behavior of cough droplets emitted from Covid-19 patient in hospital isolation room with different ventilation configurations. Build Environ. 2022;209:108649.
CrossRef Google scholar
[27]
Effros RM, Hoagland KW, Bosbous M, et al. Dilution of respiratory solutes in exhaled condensates. Am J Respir Crit Care Med. 2002;165:663-669.
CrossRef Google scholar
[28]
Chen L, Jin X, Yang L, Du X, Yang Y. Particle transport characteristics in indoor environment with an air cleaner: the effect of nonuniform particle distributions. Build Simul. 2017;10:123-133.
CrossRef Google scholar
[29]
Mirzaie M, Lakzian E, Khan A, Warkiani ME, Mahian O, Ahmadi G. COVID-19 spread in a classroom equipped with partition-a CFD approach. J Hazard Mater. 2021;420:126587.
CrossRef Google scholar
[30]
Xie X, Li Y, Sun H, Liu L. Exhaled droplets due to talking and coughing. J R Soc Interface. 2009;6(Suppl 6): S703-S714.
CrossRef Google scholar
[31]
Zhong Q, Jiao Z, Nie W, Li Y, Gu N. Numerical investigation of mass transfer behavior of a gas-liquid two-phase Taylor flow in a microchannel by a volume-of-fluid multiphase flow system. Int J Mech Syst Dyn. 2022;2(3):253-264.
CrossRef Google scholar
[32]
Li D, Deng Z, Chen G. Free vibration of functionally graded sandwich plates in thermal environments. Int J Mech Syst Dyn. 2023;3(1):39-47.
CrossRef Google scholar
[33]
Liu H, Liu Z, He J, Hu C, Rong R. Interfacial exchange of airflow and bacteria-carrying particles induced by door opening and foot traffic in an operating room. Build Environ. 2024;262:111812.
CrossRef Google scholar

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2024 2024 The Author(s). International Journal of Mechanical System Dynamics published by John Wiley & Sons Australia, Ltd on behalf of Nanjing University of Science and Technology.
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