Minimizing pathogen transmission through indoor environment optimization using central composite design of experiment

The human respiratory emission mechanism generates virus particles such as the COVID-19 virus that exists in both aerosols and water droplets form. Trajectories of airborne pathogens transmitted from coughing are influenced by the air flow pattern surrounding the transmission source, making it chall...

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Main Authors: Sanada, Stanferd Jenta, Mat, Mohamad Nur Hidayat, Wong, Ken Yinn, Rosminahar, Siti Najiah
Format: Article
Published: Elsevier Ltd 2023
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Online Access:http://eprints.utm.my/106747/
http://dx.doi.org/10.1016/j.enbuild.2023.113587
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.1067472024-07-28T06:18:51Z http://eprints.utm.my/106747/ Minimizing pathogen transmission through indoor environment optimization using central composite design of experiment Sanada, Stanferd Jenta Mat, Mohamad Nur Hidayat Wong, Ken Yinn Rosminahar, Siti Najiah TJ Mechanical engineering and machinery The human respiratory emission mechanism generates virus particles such as the COVID-19 virus that exists in both aerosols and water droplets form. Trajectories of airborne pathogens transmitted from coughing are influenced by the air flow pattern surrounding the transmission source, making it challenging to predict. ANSYS Fluent 2022 R1 is employed in this study to visualize the airborne pathogen transmission in indoor space of different environmental conditions with steady-state and periodic wind velocity. The effect of five different indoor parameters on airborne transmission is studied, which include wind velocity, air temperature, relative humidity of the air, particle residence time after emission, and the physical distancing of 3 feet, 6 feet, and 10 feet between two humans. The characteristics between airborne transmission and varying indoor conditions have motivated this study to correlate their dynamic relationship. Due to the limitation in controlling indoor conditions, obtaining optimum indoor conditions with minimal airborne transmission remains challenging. Simulation-based design of experiment of central composite design type yields optimum indoor condition with a wind velocity of 4.337 m/s, air temperature of 24.26 °C, and relative humidity of 40.14% showed 58.14% reduction in deposited particle mass relative to the base condition at a similar physical distancing of 3 feet. Surrounding air with higher relative humidity leads to a larger mean diameter of particles due to the hygroscopic growth effect. In comparison, the evaporation effect dominates in lower air humidity, leading to particle shrinkage. Particle deposition from human to human is lower with longer distances between humans, with comparable behaviour of particle transmission at each successive time step, suggesting prolonged exposure risk of the healthy individual as time progresses. This research focuses on adopting engineering simulation to find optimum indoor conditions with minimal human-to-human airborne transmission to strengthen safety and health judgement during a pandemic. Elsevier Ltd 2023 Article PeerReviewed Sanada, Stanferd Jenta and Mat, Mohamad Nur Hidayat and Wong, Ken Yinn and Rosminahar, Siti Najiah (2023) Minimizing pathogen transmission through indoor environment optimization using central composite design of experiment. Energy and Buildings, 298 (NA). NA-NA. ISSN 0378-7788 http://dx.doi.org/10.1016/j.enbuild.2023.113587 DOI : 10.1016/j.enbuild.2023.113587
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Sanada, Stanferd Jenta
Mat, Mohamad Nur Hidayat
Wong, Ken Yinn
Rosminahar, Siti Najiah
Minimizing pathogen transmission through indoor environment optimization using central composite design of experiment
description The human respiratory emission mechanism generates virus particles such as the COVID-19 virus that exists in both aerosols and water droplets form. Trajectories of airborne pathogens transmitted from coughing are influenced by the air flow pattern surrounding the transmission source, making it challenging to predict. ANSYS Fluent 2022 R1 is employed in this study to visualize the airborne pathogen transmission in indoor space of different environmental conditions with steady-state and periodic wind velocity. The effect of five different indoor parameters on airborne transmission is studied, which include wind velocity, air temperature, relative humidity of the air, particle residence time after emission, and the physical distancing of 3 feet, 6 feet, and 10 feet between two humans. The characteristics between airborne transmission and varying indoor conditions have motivated this study to correlate their dynamic relationship. Due to the limitation in controlling indoor conditions, obtaining optimum indoor conditions with minimal airborne transmission remains challenging. Simulation-based design of experiment of central composite design type yields optimum indoor condition with a wind velocity of 4.337 m/s, air temperature of 24.26 °C, and relative humidity of 40.14% showed 58.14% reduction in deposited particle mass relative to the base condition at a similar physical distancing of 3 feet. Surrounding air with higher relative humidity leads to a larger mean diameter of particles due to the hygroscopic growth effect. In comparison, the evaporation effect dominates in lower air humidity, leading to particle shrinkage. Particle deposition from human to human is lower with longer distances between humans, with comparable behaviour of particle transmission at each successive time step, suggesting prolonged exposure risk of the healthy individual as time progresses. This research focuses on adopting engineering simulation to find optimum indoor conditions with minimal human-to-human airborne transmission to strengthen safety and health judgement during a pandemic.
format Article
author Sanada, Stanferd Jenta
Mat, Mohamad Nur Hidayat
Wong, Ken Yinn
Rosminahar, Siti Najiah
author_facet Sanada, Stanferd Jenta
Mat, Mohamad Nur Hidayat
Wong, Ken Yinn
Rosminahar, Siti Najiah
author_sort Sanada, Stanferd Jenta
title Minimizing pathogen transmission through indoor environment optimization using central composite design of experiment
title_short Minimizing pathogen transmission through indoor environment optimization using central composite design of experiment
title_full Minimizing pathogen transmission through indoor environment optimization using central composite design of experiment
title_fullStr Minimizing pathogen transmission through indoor environment optimization using central composite design of experiment
title_full_unstemmed Minimizing pathogen transmission through indoor environment optimization using central composite design of experiment
title_sort minimizing pathogen transmission through indoor environment optimization using central composite design of experiment
publisher Elsevier Ltd
publishDate 2023
url http://eprints.utm.my/106747/
http://dx.doi.org/10.1016/j.enbuild.2023.113587
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