A numerical study of COVID-19-laden droplets dispersion in aircraft cabin ventilation system.

Zhuxun Liu, Jingyi Wu, Guang Yang, Xintai Zhang, Zheng Dai

Abstract read

In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Numerical study of different ventilation schemes in a classroom for efficient aerosol control.Heliyon · 2023
Article

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhuxun LiuSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Jingyi WuSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Guang YangSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Xintai ZhangCOMAC Shanghai Aircraft Design & Research Institute, Shanghai 201203, China.

Zheng DaiCOMAC Shanghai Aircraft Design & Research Institute, Shanghai 201203, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ventilation systems for aircraft cabins are mainly used to maintain a comfortable environment in the cabin and ensure the health of passengers. This study evaluates the decontamination performance of two cabin ventilation systems, the displacement ventilation (DV) system and the mixing ventilation (MV) system, in preventing contamination by virus (COVID-19)-laden droplets. The Euler-Lagrange method was used to computationally model droplet dispersion of different diameters and their behavior in the two systems was contrastively analyzed. Statistics on droplet suspension ratios and duration as well as the infection probability of each passenger were also computed. It was found that11.07% fewer droplet remained suspended in the DV system were than those in the MV system 10s from droplet release. In addition, the number of droplets extracted from the exhausts in the DV system was 13.15% more than the MV system at the 400s mark. In the DV system, higher ambient wind velocities were also found to locally increase infection probability for passengers in certain locations.

Indexed as

Computational fluid particle dynamics (CFPD)CoughInfection probabilityVentilation systemVirus (COVID-19)-laden droplets

Identifiers

PMID36851973

DOI10.1016/j.heliyon.2023.e13920

PMCPMC9946782

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.