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Numerical and experimental study on airborne disinfection by negative ions in air duct flow
In this paper, we develop a mathematical model that aims (1) to predict the distribution of negative ions generated by an air ionizer installed in a ventilation duct and (2) to predict the efficiency with which it inactivates bacteria. The transportation equation for the negative ions was resolved c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116982/ https://www.ncbi.nlm.nih.gov/pubmed/32287975 http://dx.doi.org/10.1016/j.buildenv.2017.11.006 |
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author | Zhou, Pei Yang, Yi Huang, Gongsheng Lai, Alvin C.K. |
author_facet | Zhou, Pei Yang, Yi Huang, Gongsheng Lai, Alvin C.K. |
author_sort | Zhou, Pei |
collection | PubMed |
description | In this paper, we develop a mathematical model that aims (1) to predict the distribution of negative ions generated by an air ionizer installed in a ventilation duct and (2) to predict the efficiency with which it inactivates bacteria. The transportation equation for the negative ions was resolved combined with the bulk air velocity and the electric field. The bacteria distribution was solved numerically by integrating the susceptibility constant, which was acquired from the experiments. Two types of bacteria (Serratia marcescens, Staphylococcus epidermidis) were aerosolized and released into a 9-m ventilation duct system. Inactivation efficiencies were calculated for inlet velocities from 2 to 6.5 m/s and for various ion intensities. The efficiencies for S. marcescens and S. epidermidis were 31.53% (SD, 11.4%) and 12.17% (SD, 0.43%), respectively, with susceptibility constants of 8.67 × 10(−11) Colony-Forming Units (CFU)/ions and 2.72 × 10(−11) CFU/ions, respectively. The modeling results matched those of the experiments well. The pressure penalty at the maximum velocity (6.5 m/s) was only 9 Pa. The results show that the use of negative ions has great potential to enhance indoor air quality by reducing airborne microorganisms in ventilation systems. |
format | Online Article Text |
id | pubmed-7116982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71169822020-04-02 Numerical and experimental study on airborne disinfection by negative ions in air duct flow Zhou, Pei Yang, Yi Huang, Gongsheng Lai, Alvin C.K. Build Environ Article In this paper, we develop a mathematical model that aims (1) to predict the distribution of negative ions generated by an air ionizer installed in a ventilation duct and (2) to predict the efficiency with which it inactivates bacteria. The transportation equation for the negative ions was resolved combined with the bulk air velocity and the electric field. The bacteria distribution was solved numerically by integrating the susceptibility constant, which was acquired from the experiments. Two types of bacteria (Serratia marcescens, Staphylococcus epidermidis) were aerosolized and released into a 9-m ventilation duct system. Inactivation efficiencies were calculated for inlet velocities from 2 to 6.5 m/s and for various ion intensities. The efficiencies for S. marcescens and S. epidermidis were 31.53% (SD, 11.4%) and 12.17% (SD, 0.43%), respectively, with susceptibility constants of 8.67 × 10(−11) Colony-Forming Units (CFU)/ions and 2.72 × 10(−11) CFU/ions, respectively. The modeling results matched those of the experiments well. The pressure penalty at the maximum velocity (6.5 m/s) was only 9 Pa. The results show that the use of negative ions has great potential to enhance indoor air quality by reducing airborne microorganisms in ventilation systems. Elsevier Ltd. 2018-01 2017-11-06 /pmc/articles/PMC7116982/ /pubmed/32287975 http://dx.doi.org/10.1016/j.buildenv.2017.11.006 Text en © 2017 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 Zhou, Pei Yang, Yi Huang, Gongsheng Lai, Alvin C.K. Numerical and experimental study on airborne disinfection by negative ions in air duct flow |
title | Numerical and experimental study on airborne disinfection by negative ions in air duct flow |
title_full | Numerical and experimental study on airborne disinfection by negative ions in air duct flow |
title_fullStr | Numerical and experimental study on airborne disinfection by negative ions in air duct flow |
title_full_unstemmed | Numerical and experimental study on airborne disinfection by negative ions in air duct flow |
title_short | Numerical and experimental study on airborne disinfection by negative ions in air duct flow |
title_sort | numerical and experimental study on airborne disinfection by negative ions in air duct flow |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116982/ https://www.ncbi.nlm.nih.gov/pubmed/32287975 http://dx.doi.org/10.1016/j.buildenv.2017.11.006 |
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