Μαθηματική μοντελοποίηση μετάδοσης COVID-19 σε εσωτερικό
χώρο

Ρεντούμης, Ιωάννης; Rentoumis, Ioannis

dc.contributor.author	Ρεντούμης, Ιωάννης	el
dc.contributor.author	Rentoumis, Ioannis	en
dc.date.accessioned	2022-03-03T10:06:11Z
dc.date.available	2022-03-03T10:06:11Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/54910
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.22608
dc.rights	Αναφορά Δημιουργού - Παρόμοια Διανομή 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-sa/3.0/gr/	*
dc.subject	CFD	en
dc.subject	COVID	en
dc.title	Μαθηματική μοντελοποίηση μετάδοσης COVID-19 σε εσωτερικό χώρο	el
dc.contributor.department	Εθνικό Μετσόβιο Πολυτεχνείο--Μεταπτυχιακή Εργασία. Διεπιστημονικό-Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών (Δ.Π.Μ.Σ.) “Υπολογιστική Μηχανική”	el
heal.type	masterThesis
heal.secondaryTitle	CFD analysis of COVID-19 spread in internal environment	el
heal.classification	Computational Fluid Dynamics	en
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2021-06-16
heal.abstract	COVID-19 has had destructive consequences for health, economy and has altered every aspect of everyday human activity. The outbreak was first identified in December 2019 in Wuhan, China. The declaration of the disease as a “Public Health Emergency of International Concern” for the World Health Organization took place on January 30, 2020. Public distancing in internal environments has been applied as a safety measure to prevent transmission. A controversial topic is the safe distance from person to person. The social distancing regulation, for internal public places, has been arbitrarily defined ignoring the potential aerodynamics effects of inlets, such as airconditioning units, windows and doors. The velocity of the intake airflow has the potential to transfer a droplet from the nose or the mouth of a patient in greater than the indicated distance. The present study focuses on a model of a supermarket that includes a ventilation system and open doors. For the transmission of COVID-19 in an air-conditioned internal space, two cases are investigated. The first design is bigger and has many doors, windows, ventilation units. On the contrary the second design is smaller and has only one door. The purpose that the two designs serve is to examine the differences in results of a multivariable internal environment (design 1) in contrast to a smaller and less affected by the included elements environment (design 2). The numerical results obtained are compared with those obtained by two wellknown empirical models related to the effective velocity of incoming air and the virus concentration. It is concluded that the computational results obtained in the present study are in acceptable agreement with those obtained by simple empirical models, especially when the standard k-ε model of turbulence is used. Thus, for the cases of coughing and sneezing patients, where we studied the largest particles that sediment onto the floor, the 6-foot rule applies well. However, pathogen-laced particles, coming for example from asymptomatic patients travel through the air indoors when people breathe and talk. Therefore, there is no much benefit to the 6-foot rule because the air a person is breathing tends to rise and comes down elsewhere, so the person is more exposed to the average background than to a person at a distance. Future research should 6 concentrate rather on the amount of time spent inside rather than distances. Finally, the mathematical model developed is flexible and may be easily applied to any internal air-conditioned or not environment where many people meet (e.g. banks, retail shops, restaurants, etc.) in order to provide information and useful guidelines for social distancing in times of pandemia.	en
heal.advisorName	Μαρκάτος, Νικόλαος	el
heal.advisorName	Φούντη, Μαρία	el
heal.committeeMemberName	Μπούρης, Δημήτριος	el
heal.committeeMemberName	Ριζιώτης, Βασίλειος	el
heal.committeeMemberName	Φούντη, Μαρία	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Χημικών Μηχανικών	el
heal.academicPublisherID	ntua
heal.numberOfPages	50 σ.	el
heal.fullTextAvailability	false