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Predicting contaminant dispersion using modified turbulent Schmidt numbers from different vortex structures

Air pollutant transmission has significant influences on indoor air quality (IAQ). It is crucial to study mechanisms involved with airborne contaminant dispersion indoors. However, relationship between pollutant diffusion coefficient and viscosity in enclosed spaces has not been fully understood. In...

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Detalles Bibliográficos
Autores principales: Li, Fei, Liu, Junjie, Ren, Jianlin, Cao, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117062/
https://www.ncbi.nlm.nih.gov/pubmed/32287981
http://dx.doi.org/10.1016/j.buildenv.2017.12.023
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author Li, Fei
Liu, Junjie
Ren, Jianlin
Cao, Xiaodong
author_facet Li, Fei
Liu, Junjie
Ren, Jianlin
Cao, Xiaodong
author_sort Li, Fei
collection PubMed
description Air pollutant transmission has significant influences on indoor air quality (IAQ). It is crucial to study mechanisms involved with airborne contaminant dispersion indoors. However, relationship between pollutant diffusion coefficient and viscosity in enclosed spaces has not been fully understood. In this study, turbulent Schmidt number (Sc(t)) was modified as a function of turbulent kinematic viscosity rather than a constant value to better simulate dispersion of airborne contaminant in two typical enclosed spaces: an aircraft cabin and an office room. An experiment for airborne contaminant transmission was conducted in an aircraft cabin mockup. Combining with experimental data in the office room with an under floor air distribution (UFAD) system from literature, Sc(t) was modified based on airflow vortex structures. The performance of RNG k-ε model using the modified Sc(t) was found to be obviously better than that using the default Sc(t) value in both the two enclosed spaces. In addition, model applicability to different enclosed spaces was analyzed based on the airflow vibration frequency.
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spelling pubmed-71170622020-04-02 Predicting contaminant dispersion using modified turbulent Schmidt numbers from different vortex structures Li, Fei Liu, Junjie Ren, Jianlin Cao, Xiaodong Build Environ Article Air pollutant transmission has significant influences on indoor air quality (IAQ). It is crucial to study mechanisms involved with airborne contaminant dispersion indoors. However, relationship between pollutant diffusion coefficient and viscosity in enclosed spaces has not been fully understood. In this study, turbulent Schmidt number (Sc(t)) was modified as a function of turbulent kinematic viscosity rather than a constant value to better simulate dispersion of airborne contaminant in two typical enclosed spaces: an aircraft cabin and an office room. An experiment for airborne contaminant transmission was conducted in an aircraft cabin mockup. Combining with experimental data in the office room with an under floor air distribution (UFAD) system from literature, Sc(t) was modified based on airflow vortex structures. The performance of RNG k-ε model using the modified Sc(t) was found to be obviously better than that using the default Sc(t) value in both the two enclosed spaces. In addition, model applicability to different enclosed spaces was analyzed based on the airflow vibration frequency. Elsevier Ltd. 2018-02-15 2017-12-27 /pmc/articles/PMC7117062/ /pubmed/32287981 http://dx.doi.org/10.1016/j.buildenv.2017.12.023 Text en © 2018 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Li, Fei
Liu, Junjie
Ren, Jianlin
Cao, Xiaodong
Predicting contaminant dispersion using modified turbulent Schmidt numbers from different vortex structures
title Predicting contaminant dispersion using modified turbulent Schmidt numbers from different vortex structures
title_full Predicting contaminant dispersion using modified turbulent Schmidt numbers from different vortex structures
title_fullStr Predicting contaminant dispersion using modified turbulent Schmidt numbers from different vortex structures
title_full_unstemmed Predicting contaminant dispersion using modified turbulent Schmidt numbers from different vortex structures
title_short Predicting contaminant dispersion using modified turbulent Schmidt numbers from different vortex structures
title_sort predicting contaminant dispersion using modified turbulent schmidt numbers from different vortex structures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117062/
https://www.ncbi.nlm.nih.gov/pubmed/32287981
http://dx.doi.org/10.1016/j.buildenv.2017.12.023
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