Back to articles
Articles
Volume: 33 | Article ID: art00006
Image
Airflow visualization and air purifier positioning optimization in potentially COVID-19 contaminated classrooms
Thomas Pfeiffer
Khadse Himanshu Dilip
Raunak Suryawanshi
Gnana Swaroop Kishnamurthy
Batcheva Domínguez Téllez
Reiner Creutzburg
Michael Hartmann
  DOI :  10.2352/ISSN.2470-1173.2021.3.MOBMU-039  Published Online :  June 2021
Abstract

Given the pandemic infection risk in classrooms and given the potential to purify COVID-19 prone air, this research team has visualized the flow of air to find the optimal position in a room. Through Schlieren imaging the air flow was studied to establish the circulation in the tested room. With a variation of air purifier positions in a model classroom, the imaging sensors have taken profiles of airflow and therefore contributed to identifying the optimal placings in heated classrooms. Given a random position of a potentially infected and COVID-19 infectious person, the systematic research measured concentrations of artificially produced particles that emulated aerosol distributions. The research established contaminations stabilizing after a quarter of an hour. The concentrations are only a fraction of the emitted effluents. In this way, the risk of superspreading can be mitigated and so the results allow continued academic work during the Corona pandemic

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : IS&T 7003 Kilworth Lane • Springfield, VA 22151 USA
Subject Areas :
Views 52
Downloads 6
 DOI 10.2352/ISSN.2470-1173.2021.3.MOBMU-039
 articleview.views 52
 articleview.downloads 6
  Cite this article 

Thomas Pfeiffer, Khadse Himanshu Dilip, Raunak Suryawanshi, Gnana Swaroop Kishnamurthy, Batcheva Domínguez Téllez, Reiner Creutzburg, Michael Hartmann, "Airflow visualization and air purifier positioning optimization in potentially COVID-19 contaminated classrooms"  in Proc. IS&T Int’l. Symp. on Electronic Imaging: Mobile Devices and Multimedia: Technologies, Algorithms & Applications,  2021,  pp 39-1 - 39-15,  https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-039

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2021
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane • Springfield, VA 22151 USA
10.2352/ISSN.2470-1173.2021.3.MOBMU-039
2470-1173(20210618)2021:3L.391;1-
ei_24701173_v2021n3_input/s7.xml
/ist/ei/2021/00002021/00000003/art00006
Articles
Airflow visualization and air purifier positioning optimization in potentially COVID-19 contaminated classrooms
PfeifferThomas
DilipKhadse Himanshu
SuryawanshiRaunak
KishnamurthyGnana Swaroop
TéllezBatcheva Domínguez
CreutzburgReiner
HartmannMichael
18062021
2021
3
39-1
39-15
2021
Given the pandemic infection risk in classrooms and given the potential to purify COVID-19 prone air, this research team has visualized the flow of air to find the optimal position in a room. Through Schlieren imaging the air flow was studied to establish the circulation in the tested room. With a variation of air purifier positions in a model classroom, the imaging sensors have taken profiles of airflow and therefore contributed to identifying the optimal placings in heated classrooms. Given a random position of a potentially infected and COVID-19 infectious person, the systematic research measured concentrations of artificially produced particles that emulated aerosol distributions. The research established contaminations stabilizing after a quarter of an hour. The concentrations are only a fraction of the emitted effluents. In this way, the risk of superspreading can be mitigated and so the results allow continued academic work during the Corona pandemic
aerosoCovid-19airflow visualization