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 74
Downloads 11
 DOI 10.2352/ISSN.2470-1173.2021.3.MOBMU-039
 articleview.views 74
 articleview.downloads 11
  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