Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/29746
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kakoulli, Christina | - |
dc.contributor.author | Athanasiou, Modestos | - |
dc.contributor.author | Kyriacou, Alexis | - |
dc.contributor.author | Michaelides, Michalis P. | - |
dc.date.accessioned | 2023-07-10T08:53:29Z | - |
dc.date.available | 2023-07-10T08:53:29Z | - |
dc.date.issued | 2022-06-12 | - |
dc.identifier.citation | Proceedings of 17th International Conference on Indoor Air Quality and Climate, 2022, 12-16 June, Kuopio, Finland | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/29746 | - |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.rights | © 17th International Conference on Indoor Air Quality and Climate | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | 3D office environment | en_US |
dc.subject | Airborne transmission | en_US |
dc.subject | CO2 concentration | en_US |
dc.subject | COVID-19 infection risk | en_US |
dc.title | COVID-19 airborne transmission risk calculation using CO2 concentrations in a 3D office environment | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | LELANTUS Innovations Ltd | en_US |
dc.subject.category | Mechanical Engineering | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.relation.conference | 17th International Conference on Indoor Air Quality and Climate | en_US |
cut.common.academicyear | 2022-2023 | en_US |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-0549-704X | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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