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A numerical method to determine the steady state distribution of passive contaminant in generic ventilation systems

Ventilation system with air recirculation is designed to conserve energy, yet at the same time may result in transporting hazardous substance among different rooms in the same building, which is a concern in indoor air quality control. There is a lack of effective methods to predict indoor contamina...

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Autores principales: Li, Xianting, Shao, Xiaoliang, Ma, Xiaojun, Zhang, Yuanhui, Cai, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. Published by Elsevier B.V. 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127271/
https://www.ncbi.nlm.nih.gov/pubmed/21641112
http://dx.doi.org/10.1016/j.jhazmat.2011.04.108
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author Li, Xianting
Shao, Xiaoliang
Ma, Xiaojun
Zhang, Yuanhui
Cai, Hao
author_facet Li, Xianting
Shao, Xiaoliang
Ma, Xiaojun
Zhang, Yuanhui
Cai, Hao
author_sort Li, Xianting
collection PubMed
description Ventilation system with air recirculation is designed to conserve energy, yet at the same time may result in transporting hazardous substance among different rooms in the same building, which is a concern in indoor air quality control. There is a lack of effective methods to predict indoor contaminant distribution primarily because of uncertainty of the contaminant concentration in supply air which in turn due to the mixing ratio of fresh and recirculation air. In this paper, a versatile numerical method to determine the pollutant distribution of ventilation system with recirculation at steady state is proposed based on typical ventilation systems with accessibility of supply air (ASA) and accessibility of contaminant source (ACS). The relationship is established between contaminant concentrations of supply air and return air in a ventilated room or zone. The concentrations of supply air and contaminant distribution in each room can be determined using such parameters as ASA and ACS. The proposed method is validated by both experimental data and numerical simulation result. The computing speed of the proposed method is compared with the iteration method. The comparisons between the proposed method and the lumped parameter model are also conducted. The advantages of the proposed method in terms of accuracy, speed and versatility make it advantageous to be applied in air quality control of complex ventilation systems with recirculation.
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spelling pubmed-71272712020-04-08 A numerical method to determine the steady state distribution of passive contaminant in generic ventilation systems Li, Xianting Shao, Xiaoliang Ma, Xiaojun Zhang, Yuanhui Cai, Hao J Hazard Mater Article Ventilation system with air recirculation is designed to conserve energy, yet at the same time may result in transporting hazardous substance among different rooms in the same building, which is a concern in indoor air quality control. There is a lack of effective methods to predict indoor contaminant distribution primarily because of uncertainty of the contaminant concentration in supply air which in turn due to the mixing ratio of fresh and recirculation air. In this paper, a versatile numerical method to determine the pollutant distribution of ventilation system with recirculation at steady state is proposed based on typical ventilation systems with accessibility of supply air (ASA) and accessibility of contaminant source (ACS). The relationship is established between contaminant concentrations of supply air and return air in a ventilated room or zone. The concentrations of supply air and contaminant distribution in each room can be determined using such parameters as ASA and ACS. The proposed method is validated by both experimental data and numerical simulation result. The computing speed of the proposed method is compared with the iteration method. The comparisons between the proposed method and the lumped parameter model are also conducted. The advantages of the proposed method in terms of accuracy, speed and versatility make it advantageous to be applied in air quality control of complex ventilation systems with recirculation. Elsevier B.V. Published by Elsevier B.V. 2011-08-15 2011-05-11 /pmc/articles/PMC7127271/ /pubmed/21641112 http://dx.doi.org/10.1016/j.jhazmat.2011.04.108 Text en Copyright © 2011 Elsevier B.V. Published by Elsevier B.V. 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, Xianting
Shao, Xiaoliang
Ma, Xiaojun
Zhang, Yuanhui
Cai, Hao
A numerical method to determine the steady state distribution of passive contaminant in generic ventilation systems
title A numerical method to determine the steady state distribution of passive contaminant in generic ventilation systems
title_full A numerical method to determine the steady state distribution of passive contaminant in generic ventilation systems
title_fullStr A numerical method to determine the steady state distribution of passive contaminant in generic ventilation systems
title_full_unstemmed A numerical method to determine the steady state distribution of passive contaminant in generic ventilation systems
title_short A numerical method to determine the steady state distribution of passive contaminant in generic ventilation systems
title_sort numerical method to determine the steady state distribution of passive contaminant in generic ventilation systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127271/
https://www.ncbi.nlm.nih.gov/pubmed/21641112
http://dx.doi.org/10.1016/j.jhazmat.2011.04.108
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