Investigation of aerosol dispersion and air purifier performance in a hospital patient room using CFD and measurements
Transmission of airborne disease is a concern in many indoor spaces. Recent studies have identified correlations between poor indoor air quality (IAQ) and COVID-19 vulnerability and mortality. Studying the role building design and ventilation play in both the spread and mitigation of airborne viruse...
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Format: | Article |
Language: | English |
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EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/33/e3sconf_iaqvec2023_02029.pdf |
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author | Chan Maverick Rogak Steve Rysanek Adam |
author_facet | Chan Maverick Rogak Steve Rysanek Adam |
author_sort | Chan Maverick |
collection | DOAJ |
description | Transmission of airborne disease is a concern in many indoor spaces. Recent studies have identified correlations between poor indoor air quality (IAQ) and COVID-19 vulnerability and mortality. Studying the role building design and ventilation play in both the spread and mitigation of airborne viruses in high-density spaces is thus imperative. However, guidance for IAQ improvement and COVID-19 risk mitigation is general and insufficient for specific application in at-risk spaces like British Columbia’s (BC) patient settings and long-term care homes. What remains underdefined is a workflow for translating site specific data on indoor aerosol spread into actionable tools health officials can use towards building retrofit and intervention planning. The objective of this project was thus to develop a library of ‘digital twin’ models of at-risk indoor spaces that can provide accurate and rapid investigations of indoor air quality improvement measures using computation fluid dynamics (CFD) software. To calibrate these models, 41 repeated controlled experiments of aerosol dispersion and removal were conducted to assess the ventilation patterns of a 4-bed hospital room. From these experiments, a 3D CFD model of the room was created using the RhinoCFD modelling package, calibrated with measured IAQ sensor data, and validated against the results of the live study. This paper presents the methodology and in-progress results of this CFD modelling process. |
first_indexed | 2024-03-13T04:23:40Z |
format | Article |
id | doaj.art-36c0a2e7520344979ddbe24ba42dc500 |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-03-13T04:23:40Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-36c0a2e7520344979ddbe24ba42dc5002023-06-20T09:04:04ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013960202910.1051/e3sconf/202339602029e3sconf_iaqvec2023_02029Investigation of aerosol dispersion and air purifier performance in a hospital patient room using CFD and measurementsChan Maverick0Rogak Steve1Rysanek Adam2School of Architecture and Landscape Architecture, University of British ColumbiaDepartment of Mechanical Engineering, University of British ColumbiaSchool of Architecture and Landscape Architecture, University of British ColumbiaTransmission of airborne disease is a concern in many indoor spaces. Recent studies have identified correlations between poor indoor air quality (IAQ) and COVID-19 vulnerability and mortality. Studying the role building design and ventilation play in both the spread and mitigation of airborne viruses in high-density spaces is thus imperative. However, guidance for IAQ improvement and COVID-19 risk mitigation is general and insufficient for specific application in at-risk spaces like British Columbia’s (BC) patient settings and long-term care homes. What remains underdefined is a workflow for translating site specific data on indoor aerosol spread into actionable tools health officials can use towards building retrofit and intervention planning. The objective of this project was thus to develop a library of ‘digital twin’ models of at-risk indoor spaces that can provide accurate and rapid investigations of indoor air quality improvement measures using computation fluid dynamics (CFD) software. To calibrate these models, 41 repeated controlled experiments of aerosol dispersion and removal were conducted to assess the ventilation patterns of a 4-bed hospital room. From these experiments, a 3D CFD model of the room was created using the RhinoCFD modelling package, calibrated with measured IAQ sensor data, and validated against the results of the live study. This paper presents the methodology and in-progress results of this CFD modelling process.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/33/e3sconf_iaqvec2023_02029.pdf |
spellingShingle | Chan Maverick Rogak Steve Rysanek Adam Investigation of aerosol dispersion and air purifier performance in a hospital patient room using CFD and measurements E3S Web of Conferences |
title | Investigation of aerosol dispersion and air purifier performance in a hospital patient room using CFD and measurements |
title_full | Investigation of aerosol dispersion and air purifier performance in a hospital patient room using CFD and measurements |
title_fullStr | Investigation of aerosol dispersion and air purifier performance in a hospital patient room using CFD and measurements |
title_full_unstemmed | Investigation of aerosol dispersion and air purifier performance in a hospital patient room using CFD and measurements |
title_short | Investigation of aerosol dispersion and air purifier performance in a hospital patient room using CFD and measurements |
title_sort | investigation of aerosol dispersion and air purifier performance in a hospital patient room using cfd and measurements |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/33/e3sconf_iaqvec2023_02029.pdf |
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