Quantifying airborne transmission in ventilated settings: A review DOI Creative Commons
Arghyanir Giri, Clara García‐Sánchez, Philomena M. Bluyssen

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 266, P. 112049 - 112049

Published: Sept. 3, 2024

As mandatory masking and social distancing measures decrease post-COVID-19, the risk of airborne pathogen transmission in crowded indoor spaces remains a significant public health concern. The pandemic highlighted critical role air quality ventilation mitigating spread infectious diseases, underscoring urgent need to improve our understanding prediction airflow minimize transmission. In this review, studies on settings were systematically reviewed identify research gaps recommend changes approach. analysis is categorized into airflow, dynamics respiratory particles (IRPs), investigation methodologies. Findings reveal that almost 40% literature does not specify type setting, with only 3% focusing restaurant environments. Additionally, conditions are typically assumed be constant, activities often limited coughing breathing. review identifies challenge replicating complex behaviour IRPs experiments computational expense predicting turbulent flows. Recommendations for future include: i) like restaurants, ii) considering varying temperatures humidity, iii) examining speech-related flows, iv) employing visual accurate tools investigate particle-laden airflow. These insights aim enhance guidelines building designs reduce diseases.

Language: Английский

AFiD-Darcy: A finite difference solver for numerical simulations of convective porous media flows DOI Creative Commons
Marco De Paoli, Guru Sreevanshu Yerragolam, Detlef Lohse

et al.

Computer Physics Communications, Journal Year: 2025, Volume and Issue: unknown, P. 109579 - 109579

Published: March 1, 2025

Language: Английский

Citations

2
Investigation of Combined Ventilation Systems for Infection Risk Mitigation During Dynamic Elevator Rides DOI
Chengbo Du, Qingyan Chen

Published: Jan. 1, 2025

Language: Английский

Citations

0
Computational fluid dynamics challenge on indoor dispersion of pathogen-laden aerosols DOI
Jordi Pallarès, Alexandre Fabregat, Akim Lavrinenko

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(2)

Published: Feb. 1, 2025

This paper presents and discusses the results of “2024 International Computational Fluid Dynamics Challenge on long-range indoor dispersion pathogen-laden aerosols” aimed at assessing ability different computational codes turbulence models to reproduce particles produced by a turbulent natural convection flow enclosed in room sized cubical cavity. A total 12 research groups from ten countries have conducted 15 simulations same configuration solving Reynolds averaged Navier–Stokes (RANS) equations, unsteady (URANS) equations or using scale adaptive (SAS), large-eddy (LES), hybrid (URANS-LES) techniques. Results for velocity field particle provided are compared extensively, including reference direct numerical simulation (DNS). In general, LES methods time-averaged correctly, spatial distribution kinetic energy, dispersion. The performance SAS is similar that while predictions RANS URANS exhibit larger deviations with respect DNS. better reproduced capture correctly energy.

Language: Английский

Citations

0
The role of interventions in enhancing indoor environmental quality in Higher Education Institutions for student well-being and academic performance DOI
Cristina Andrade, Stavros Stathopoulos, Sandra Mourato

et al.

Current Opinion in Environmental Science & Health, Journal Year: 2025, Volume and Issue: unknown, P. 100611 - 100611

Published: March 1, 2025

Language: Английский

Citations

0
Investigation of Combined Ventilation Systems for Infection Risk Mitigation During Dynamic Elevator Rides DOI
Chengbo Du, Qingyan Chen

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112938 - 112938

Published: March 1, 2025

Language: Английский

Citations

0
Spatial features of CO2 for occupancy detection in a naturally ventilated school building DOI Creative Commons
Qirui Huang, Marc Syndicus, Jérôme Frisch

et al.

Indoor Environments, Journal Year: 2024, Volume and Issue: 1(3), P. 100018 - 100018

Published: June 24, 2024

Accurate occupancy information helps to improve building energy efficiency and occupant comfort. Occupancy detection methods based on CO2 sensors have received attention due their low cost intrusiveness. In naturally ventilated buildings, the accuracy of CO2-based is generally in related studies complex ventilation behavior difficulty measuring actual air exchange through windows. this study, we present two novel features for spatial distribution concentration. After a quantitative analysis with Support Vector Machine (SVM) as classifier, it was found that state rooms could be improved by up 14.8 percentage points compared baseline, reaching 83.2% (F1 score 0.84) without any information. With information, reached 87.6% 0.89). The performance quantity significantly 25.3 versus 56%, root mean square error (RMSE) 11.44 occupants, using only CO2-related features. Additional further enhanced 61.8% (RMSE 9.02 occupants). By incorporating features, model revealed similar containing additional resulting better low-cost method buildings.

Language: Английский

Citations

2
Quantifying airborne transmission in ventilated settings: A review DOI Creative Commons
Arghyanir Giri, Clara García‐Sánchez, Philomena M. Bluyssen

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 266, P. 112049 - 112049

Published: Sept. 3, 2024

As mandatory masking and social distancing measures decrease post-COVID-19, the risk of airborne pathogen transmission in crowded indoor spaces remains a significant public health concern. The pandemic highlighted critical role air quality ventilation mitigating spread infectious diseases, underscoring urgent need to improve our understanding prediction airflow minimize transmission. In this review, studies on settings were systematically reviewed identify research gaps recommend changes approach. analysis is categorized into airflow, dynamics respiratory particles (IRPs), investigation methodologies. Findings reveal that almost 40% literature does not specify type setting, with only 3% focusing restaurant environments. Additionally, conditions are typically assumed be constant, activities often limited coughing breathing. review identifies challenge replicating complex behaviour IRPs experiments computational expense predicting turbulent flows. Recommendations for future include: i) like restaurants, ii) considering varying temperatures humidity, iii) examining speech-related flows, iv) employing visual accurate tools investigate particle-laden airflow. These insights aim enhance guidelines building designs reduce diseases.

Language: Английский

Citations

2