Literature DB >> 31172603

Evaluating the commercial airliner cabin environment with different air distribution systems.

Ruoyu You1,2, Chao-Hsin Lin3, Daniel Wei4, Qingyan Chen2.   

Abstract

Ventilation systems for commercial airliner cabins are important in reducing contaminant transport and maintaining thermal comfort. To evaluate the performance of a personalized displacement ventilation system, a conventional displacement ventilation system, and a mixing ventilation system, this study first used the Wells-Riley equation integrated with CFD to obtain the SARS quanta value based on a specific SARS outbreak on a flight. This investigation then compared the three ventilation systems in a seven-row section of a fully occupied, economy-class cabin in Boeing 737 and Boeing 767 airplanes. The SARS quanta generation rate obtained for the index patient could be used in future studies. For all the assumed source locations, the passengers' infection risk by air in the two planes was the highest with the mixing ventilation system, while the conventional displacement ventilation system produced the lowest risk. The personalized ventilation system performed the best in maintaining cabin thermal comfort and can also reduce the infection risk. This system is recommended for airplane cabins.
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  computational fluid dynamics (CFD); displacement ventilation; infectious disease transmission; mixing ventilation; personalized ventilation; thermal comfort

Mesh:

Substances:

Year:  2019        PMID: 31172603     DOI: 10.1111/ina.12578

Source DB:  PubMed          Journal:  Indoor Air        ISSN: 0905-6947            Impact factor:   5.770


  13 in total

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3.  Assessing and controlling infection risk with Wells-Riley model and spatial flow impact factor (SFIF).

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4.  Modeling airborne pathogen transport and transmission risks of SARS-CoV-2.

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Review 5.  Aerosol Transmission of SARS-CoV-2: Physical Principles and Implications.

Authors:  Michael C Jarvis
Journal:  Front Public Health       Date:  2020-11-23

6.  A coupled Computational Fluid Dynamics and Wells-Riley model to predict COVID-19 infection probability for passengers on long-distance trains.

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7.  Evaluation of different air distribution systems in a commercial airliner cabin in terms of comfort and COVID-19 infection risk.

Authors:  Mingxin Liu; Junjie Liu; Qing Cao; Xingyang Li; Sumei Liu; Shengcheng Ji; Chao-Hsin Lin; Daniel Wei; Xiong Shen; Zhengwei Long; Qingyan Chen
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8.  High-resolution large-eddy simulation of indoor turbulence and its effect on airborne transmission of respiratory pathogens-Model validation and infection probability analysis.

Authors:  Mikko Auvinen; Joel Kuula; Tiia Grönholm; Matthias Sühring; Antti Hellsten
Journal:  Phys Fluids (1994)       Date:  2022-01-19       Impact factor: 3.521

9.  Ten questions concerning the paradox of minimizing airborne transmission of infectious aerosols in densely occupied spaces via sustainable ventilation and other strategies in hot and humid climates.

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Journal:  Build Environ       Date:  2022-02-18       Impact factor: 7.093

10.  Impact of HVAC-Systems on the Dispersion of Infectious Aerosols in a Cardiac Intensive Care Unit.

Authors:  Larisa Anghel; Cătălin-George Popovici; Cristian Stătescu; Radu Sascău; Marina Verdeș; Vasilică Ciocan; Ionela-Lăcrămioara Șerban; Minela Aida Mărănducă; Sebastian-Valeriu Hudișteanu; Florin-Emilian Țurcanu
Journal:  Int J Environ Res Public Health       Date:  2020-09-10       Impact factor: 3.390

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