Study on droplet dispersion influenced by ventilation and source configuration in classroom settings using low‐cost sensor network

Weiqi Chen, Dong Bin Kwak, Jonathon Anderson, Kaushik Kanna, Chenxing Pei, Qingfeng Cao, Qisheng Ou, Seong Chan Kim, Thomas H. Kuehn, David Y.H. Pui

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The COVID‐19 virus can transmit through airborne expiratory droplets and thus, the viral transmission can take place between the occupants in the isolated room. With the school re-opening under the current COVID‐19 pandemic, it is urgent to improve the classroom ventilation system to mitigate the risk of virus transmission. The present study developed a particle concentration monitoring network (PCMN) using low‐cost sensors and deployed it to explore the dispersion of the droplet particles under different ventilation settings and aerosol configurations. Our experiment shows the advance of using a low‐cost sensor network on spatiotemporal air monitoring and demonstrates indoor particle concentration level and distribution are strongly impacted by the ventilation setting and source location. Two recommendations on reducing the viral risk in the classroom were derived from the study. The first is the respiratory droplet source, e.g., the instructor, should be in the location such that the particle dispersion opposes the ventilation flow. The second is the air handling unit (AHU) and fan coil unit (FCU) should be both turned on during class hours despite whether there is a need for thermal comfort, as it allows higher and more uniform ventilation flow to resolve the issue of the dead air zone.

Original languageEnglish
Article number210232
JournalAerosol and Air Quality Research
Volume21
Issue number12
DOIs
StatePublished - Dec 2021

Keywords

  • Classroom ventilation
  • COVID‐19
  • Indoor air monitoring
  • Low‐cost sensor
  • PM

Fingerprint

Dive into the research topics of 'Study on droplet dispersion influenced by ventilation and source configuration in classroom settings using low‐cost sensor network'. Together they form a unique fingerprint.

Cite this