Experimental validation of CO2-based occupancy detection for demand- controlled ventilation

Shengwei Wang, John Burnett, Hoishing Chong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

95 Citations (Scopus)

Abstract

On-line ventilation control based on carbon dioxide (CO2) measurement and the dynamic CO2balance in indoor spaces has been validated using a dynamic algorithm for two existing buildings. Occupancy profiles estimated using the dynamic algorithm were compared with the true occupancy profiles and the occupancy profiles estimated using a steady-state algorithm based on the steady-state CO2balance. The dynamic algorithm estimates the changes of occupancy without significant delay. The steady-state algorithm is comparable only at a high air change rate and shows a considerable delay when the number of air changes per hour in a space is small. This phenomenon was investigated using computer simulation.
Original languageEnglish
Pages (from-to)377-391
Number of pages15
JournalIndoor and Built Environment
Volume8
Issue number6
DOIs
Publication statusPublished - 1 Jan 1999

Keywords

  • CO detection 2
  • Computer simulation
  • Energy efficiency
  • Occupancy detection
  • Ventilation strategy

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

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