E3S Web of Conf.
Volume 396, 2023The 11th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC2023)
|Number of page(s)||8|
|Section||Indoor Environmental Quality (IEQ), Human Health, Comfort and Productivity|
|Published online||16 June 2023|
Impacts of Respiratory Activities on Infection Risk of COVID-19 in a Passenger Elevator
1 School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA
2 Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
* Corresponding author: email@example.com
Contaminant transport and flow distribution are very important during an elevator ride, as the reduced social distancing may increase the infection rate of airborne diseases such as COVID-19. This investigation used a computational fluid dynamics (CFD) model based on the RNG k–ϵ turbulence model to predict airflow and particle transport in an elevator-lobby area with moving passengers. The CFD results showed a complex airflow pattern due to the downwash air supply from the ceiling and the upward thermal plumes generated by passengers. This investigation studied different respiratory activities of the index patient, i.e., breathing, coughing with and without a mask, and speaking. The results quantitatively compare the risk of infection among different respiratory activities. During an elevator ride, the infection risk was generally low because of the short duration. However, if the index patient talked in an elevator, the infection risk would be relatively high, as two passengers in the closest proximity to distance would be infected.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.