Experimentally validated CFD analysis on the optimal sensor location for the CO2-based demand-controlled ventilation

Gen Pei, Donghyun Rim

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

Abstract

CO2-based demand-controlled ventilation (DCV) has the potential to achieve energy saving while providing acceptable indoor air quality (IAQ). The spatial distribution of CO2 concentration could be non-uniform within an occupied space; however, limited information is available on how the sensor location affects the sensing performance of the breathing zone CO2 concentration. This study used experimentally validated Computational Fluid Dynamic (CFD) models to explore the optimal sensor position for the CO2-based DCV system considering varied ventilation system (displacement vs. mixing), air change rate, and occupant condition. The results show that the displacement ventilation causes vertical stratification of CO2, while mixing ventilation can achieve more uniform CO2 distribution. With mixing ventilation system, CO2 sensors located at the room return exhaust provide reasonable accuracies that meet the standard requirements. With displacement ventilation strategy, the errors of exhaust CO2 sensors exceed those requirements due to CO2 stratification and wall-mounted sensors placed at the breathing height yield smaller errors than the exhaust sensor. The results also indicate the accuracies of the CO2 sensors placed on the desk are unstable and vary significantly mainly due to impact of occupant thermal plume.

Original languageEnglish (US)
Title of host publicationASHRAE Transactions - 2020 ASHRAE Winter Conference
PublisherASHRAE
Pages229-238
Number of pages10
ISBN (Electronic)9781947192492
StatePublished - 2020
Event2020 ASHRAE Winter Conference - Orlando, United States
Duration: Feb 1 2020Feb 5 2020

Publication series

NameASHRAE Transactions
Volume126
ISSN (Print)0001-2505

Conference

Conference2020 ASHRAE Winter Conference
CountryUnited States
CityOrlando
Period2/1/202/5/20

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Mechanical Engineering

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