Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8807
Title: COVID-19 dispersion in naturally-ventilated classrooms: a study on inlet-outlet characteristics
Authors: Abbas, Gunsu Merin
Dino, Ipek Gursel
Keywords: Integrated contamination analysis
COVID-19
opening characteristics
natural ventilation
CFD simulation
Risk-Assessment
Infection Risk
Issue Date: 2022
Publisher: Taylor & Francis Ltd
Abstract: Infectious aerosol dispersion poses significant infection risks (i.e., COVID-19) in classrooms due to dense and long occupancy. Natural ventilation is an effective strategy to reduce airborne infection transmission. The building-related parameters, particularly openings, determine the natural ventilation effectiveness in reducing contaminant dispersion, necessitating an inquiry due to complex dispersion and airflow patterns. This paper investigates the correlation between window height, natural ventilation, and COVID-19 dispersion. A simulation pipeline involving a parametric 3D design environment, computational fluid dynamics (CFD), and energy simulations is developed and implemented on nine design scenarios representing different inlet-outlet heights of a free-running (no heating, cooling or mechanical ventilation) classroom. The inlet height and the inlet-outlet height difference have a considerable impact on indoor infection risk confirming that stack ventilation and the Bernoulli effect decrease indoor contaminant concentration. Proximity to openings does not ensure lower contamination levels. Proximity to the contaminant does not result in higher contamination levels.
URI: https://doi.org/10.1080/19401493.2022.2063946
https://hdl.handle.net/20.500.11851/8807
ISSN: 1940-1493
1940-1507
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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