503
Views
0
CrossRef citations to date
0
Altmetric
Article

COVID-19 aerosol transmission modeling in support of company HVAC guideline

, , , , , & show all
Pages 327-334 | Published online: 29 Apr 2022
 

Abstract

A company COVID-19 Heating, Ventilation, and Air Conditioning Guideline was implemented globally, as part of a larger control measure toolset, to minimize the potential for SARS-CoV-2 aerosol transmission. The COVID-19 Heating, Ventilation, and Air Conditioning Guideline informed and provided the process to optimize existing ventilation systems, set occupancy duration limits, and set clearance periods for a given space. Aerosol transmission modeling was used extensively to determine space limitations to reduce the potential for aerosol transmission in various manufacturing, lab, warehouse, aircraft, and administrative workspaces. This paper focuses on the modeling completed for administrative spaces (e.g., offices, conference rooms, restrooms, elevators) due to their lower ventilation rates, higher occupant densities, and greater vocalization levels. A detailed description of how the Guideline was implemented, with examples showing the evaluation and determinations made for specific spaces, is provided. World-wide implementation of this Guideline, as one of the layers of protection, was a key component in the overall strategy to reduce aerosol transmission of the SARS-CoV-2 virus.

Data availability statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 148.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.