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Comparative analysis of indoor air quality in offices with different ventilation mechanisms and simulation of ventilation process utilizing system dynamics tool

Keeping COVID-19 pandemic in perspective, good indoor air quality (IAQ) and adequate ventilation are imperative to minimize risk of virus spread, besides other poor IAQ related risks. Thus, present study is focused on evaluation and comparison of ventilation rates (VRs) in office buildings with diff...

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Autores principales: Asif, Ayesha, Zeeshan, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131746/
http://dx.doi.org/10.1016/j.jobe.2023.106687
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author Asif, Ayesha
Zeeshan, Muhammad
author_facet Asif, Ayesha
Zeeshan, Muhammad
author_sort Asif, Ayesha
collection PubMed
description Keeping COVID-19 pandemic in perspective, good indoor air quality (IAQ) and adequate ventilation are imperative to minimize risk of virus spread, besides other poor IAQ related risks. Thus, present study is focused on evaluation and comparison of ventilation rates (VRs) in office buildings with different ventilation mechanisms. Two-season (summer and winter) data of indoor CO(2) was collected, and VRs were calculated adopting three methods i.e., transient mass balance, steady-state and decay method, and were then input in system dynamics-based (SD) model for finding best method for the calculation of VRs. In the last part, simulations were used to calculate the optimum VRs to keep indoor CO(2) levels below recommended limits. Results showed statistical difference (p < 0.05) of indoor CO(2) among buildings and between seasons. Although better VRs were observed in mechanically ventilated offices, it is to be noted that windows in naturally ventilated offices were observed to be closed (to maintain thermal comfort) and thus naturally ventilated buildings were not operated as per design provisions. Moreover, transient mass balance method was found to be more accurate approach for VRs estimation. Furthermore, it was found that to limit indoor CO(2) levels below 1100, 800 and 700 ppm, minimum VRs should be maintained as 10, 16 and 20 l/s/person respectively.
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spelling pubmed-101317462023-04-26 Comparative analysis of indoor air quality in offices with different ventilation mechanisms and simulation of ventilation process utilizing system dynamics tool Asif, Ayesha Zeeshan, Muhammad Journal of Building Engineering Article Keeping COVID-19 pandemic in perspective, good indoor air quality (IAQ) and adequate ventilation are imperative to minimize risk of virus spread, besides other poor IAQ related risks. Thus, present study is focused on evaluation and comparison of ventilation rates (VRs) in office buildings with different ventilation mechanisms. Two-season (summer and winter) data of indoor CO(2) was collected, and VRs were calculated adopting three methods i.e., transient mass balance, steady-state and decay method, and were then input in system dynamics-based (SD) model for finding best method for the calculation of VRs. In the last part, simulations were used to calculate the optimum VRs to keep indoor CO(2) levels below recommended limits. Results showed statistical difference (p < 0.05) of indoor CO(2) among buildings and between seasons. Although better VRs were observed in mechanically ventilated offices, it is to be noted that windows in naturally ventilated offices were observed to be closed (to maintain thermal comfort) and thus naturally ventilated buildings were not operated as per design provisions. Moreover, transient mass balance method was found to be more accurate approach for VRs estimation. Furthermore, it was found that to limit indoor CO(2) levels below 1100, 800 and 700 ppm, minimum VRs should be maintained as 10, 16 and 20 l/s/person respectively. Elsevier Ltd. 2023-08-01 2023-04-26 /pmc/articles/PMC10131746/ http://dx.doi.org/10.1016/j.jobe.2023.106687 Text en © 2023 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
Asif, Ayesha
Zeeshan, Muhammad
Comparative analysis of indoor air quality in offices with different ventilation mechanisms and simulation of ventilation process utilizing system dynamics tool
title Comparative analysis of indoor air quality in offices with different ventilation mechanisms and simulation of ventilation process utilizing system dynamics tool
title_full Comparative analysis of indoor air quality in offices with different ventilation mechanisms and simulation of ventilation process utilizing system dynamics tool
title_fullStr Comparative analysis of indoor air quality in offices with different ventilation mechanisms and simulation of ventilation process utilizing system dynamics tool
title_full_unstemmed Comparative analysis of indoor air quality in offices with different ventilation mechanisms and simulation of ventilation process utilizing system dynamics tool
title_short Comparative analysis of indoor air quality in offices with different ventilation mechanisms and simulation of ventilation process utilizing system dynamics tool
title_sort comparative analysis of indoor air quality in offices with different ventilation mechanisms and simulation of ventilation process utilizing system dynamics tool
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131746/
http://dx.doi.org/10.1016/j.jobe.2023.106687
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