Uncertainty analysis of various CO2-based methods for estimating ventilation rates in occupied and unoccupied classrooms

Josephine Lau, Adel Kabirikopaei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Indoor air quality (IAQ) data of 220 classrooms in the Midwest region of the United States were measured during 2015-2017. To calculate ventilation rates from the collected CO2 data, there are three main methods derived from the mass balance equation: (1) steady-state; (2) decay rate; and (3) build-up methods. Since the uncertainty of the individual measurement parameter would affect the accuracy or the reliability of the calculated ventilation rate, an uncertainty analysis was performed for all three methods. R programming was used to calculate the uncertainty of the calculated ventilation rates to the volume of the classroom, indoor and outdoor CO2 levels, and estimated student CO2 emission rates. The study shows that the steady-state method has the minimum uncertainty when calculating ventilation rates while decay and build-up methods have the lowest and highest values for ventilation rates, respectively.

Original languageEnglish (US)
Title of host publication15th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2018
PublisherInternational Society of Indoor Air Quality and Climate
ISBN (Electronic)9781713826514
StatePublished - 2018
Event15th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2018 - Philadelphia, United States
Duration: Jul 22 2018Jul 27 2018

Publication series

Name15th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2018

Conference

Conference15th Conference of the International Society of Indoor Air Quality and Climate, INDOOR AIR 2018
Country/TerritoryUnited States
CityPhiladelphia
Period7/22/187/27/18

Keywords

  • Carbon dioxide (CO2)
  • Classrooms
  • Uncertainty
  • Ventilation

ASJC Scopus subject areas

  • Pollution

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