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https://hdl.handle.net/20.500.14279/29746
Τίτλος: | COVID-19 airborne transmission risk calculation using CO2 concentrations in a 3D office environment | Συγγραφείς: | Kakoulli, Christina Athanasiou, Modestos Kyriacou, Alexis Michaelides, Michalis P. |
Major Field of Science: | Engineering and Technology | Field Category: | Mechanical Engineering | Λέξεις-κλειδιά: | 3D office environment;Airborne transmission;CO2 concentration;COVID-19 infection risk | Ημερομηνία Έκδοσης: | 12-Ιου-2022 | Πηγή: | Proceedings of 17th International Conference on Indoor Air Quality and Climate, 2022, 12-16 June, Kuopio, Finland | Conference: | 17th International Conference on Indoor Air Quality and Climate | Περίληψη: | The ongoing COVID-19 pandemic has caused millions of deaths worldwide along with detrimental socioeconomic consequences. Existing evidence suggests that the rate of indoor transmission is directly linked with the Indoor Air Quality (IAQ) conditions. Most of the existing methodologies for virus transmissibility risk estimation are based on the well-known Wells-Riley equation and assume well-mixed, uniform conditions; so spatiotemporal variations within the indoor space are not captured. In this work, a novel fine-grained methodology for real-time virus transmission risk estimation is developed using a 3D model of a real office room with 31 occupants. CONTAM-CFD0 software is used to compute the airflow vectors and the resulting 3D CO2 concentration map (attributed to the exhalations from the occupants). Simulation results are also provided that demonstrate the efficacy of using CO2 sensors for estimating the infection risk in real-time in the 3D office environment. | URI: | https://hdl.handle.net/20.500.14279/29746 | Rights: | © 17th International Conference on Indoor Air Quality and Climate | Type: | Conference Papers | Affiliation: | Cyprus University of Technology LELANTUS Innovations Ltd |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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