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dc.contributor.authorVillafruela Espina, José Manuel 
dc.contributor.authorOlmedo Cortés, Inés
dc.contributor.authorSan José Alonso, Julio Francisco 
dc.date.accessioned2018-11-29T11:25:48Z
dc.date.available2018-11-29T11:25:48Z
dc.date.issued2016
dc.identifier.citationBuilding and Environment Volume 106, 1 September 2016, Pages 340-351es
dc.identifier.issn03601323es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/33056
dc.descriptionProducción Científicaes
dc.description.abstractCFD simulation is an accurate and reliable method to predict the risk of airborne cross-infection in a room. This paper focuses on the validation of a 3-D transient CFD model used to predict personal exposure to airborne pathogens and infection risk in a displacement ventilated room. The model provides spatial and temporal solutions of the airflow pattern in the room (temperature, velocity and turbulence), as well as contaminant concentration in a room where two thermal manikins simulate two standing people, one of whom exhales a tracer gas N2O simulating airborne contaminants. Numerical results are validated with experimental data and the model shows a high accuracy when predicting the transient cases studied. Once the model is validated, the CFD model is used to simulate different airborne cross-infection risk scenarios. Four different combinations of the manikins’ breathing modes and four different separation distances between the two manikins are studied. The results show that exhaling through the nose or mouth disperses exhaled contaminants in a completely different way and also means that exhaled contaminants are received differently. For short separation distances between breathing sources the interaction between breaths is a key factor in the airborne cross-infection for all the breathing mode combinations studied. However, for long distances the general airflow conditions in the room prove to be more important.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.classificationairborne cross infection riskes
dc.subject.classificationhuman exhalation flowes
dc.subject.classificationCFDes
dc.subject.classificationtransientes
dc.subject.classificationdisplacement ventilationes
dc.subject.classificationhuman microenvironmentes
dc.titleInfluence of human breathing modes on airborne cross infection riskes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holderElsevieres
dc.identifier.doi10.1016/j.buildenv.2016.07.005es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0360132316302529
dc.identifier.publicationfirstpage340es
dc.identifier.publicationissue106es
dc.identifier.publicationlastpage251es
dc.identifier.publicationtitleBuilding and Environment Volumees
dc.identifier.publicationvolume106es
dc.peerreviewedSIes
dc.description.projectSpanish Ministry of Economy and Competiveness to the National R&D project TRACER with references DPI2014-55357-C2-1-R and DPI2014-55357-C2-2-R. This project is cofinanced by the European Regional Development Fund (ERDF).es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


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