Evaluation of infection probability in a multiroom office space using computational fluid dynamics coupled with Wells-Riley model
17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2326311
ABSTRACT
The current COVID-19 pandemic has highlighted the importance of health safety assessment in various indoor scenarios. Computational fluid dynamics (CFD) combined with a modified Wells-Riley equation provides a powerful tool to analyse local infection probability in an indoor space. Compared to a single infection probability characterising the space in the traditional Wells-Riley model, the coupled approach provides a distribution of infection probability within the space. Furthermore, this approach avoids assuming a well-mixed state, usually related to Wells-Riley equation. This study compares displacement and mixing ventilation strategies with four different ventilation rates to assess the local quanta concentrations modelled using passive scalar transport approach. The simulation results are processed to also account for the effect of wearing masks and vaccinations. The result show that a well-designed displacement ventilation system can significantly reduce infection probability compared to mixing ventilation system at similar airflow rate. Additionally, the results emphasised the importance of wearing mask and getting vaccinated as a means of reducing infection probability. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
Airborne infection; CFD; Infection probability; Office space; Wells-Riley; Air quality; Climate models; Indoor air pollution; Mixing; Office buildings; Petroleum reservoir evaluation; Ventilation; Wear of materials; 'current; Health safety; Indoor space; Local infection; Mixing ventilation; Safety assessments; Well-riley; Probability distributions
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Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Topics:
Vaccines
Language:
English
Journal:
17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022
Year:
2022
Document Type:
Article
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