Robust occupancy-based distributed demand control ventilation

Vikas Dhummi, Dustin Demetriou, Harish J. Palanthandalam-Madapusi, H. Ezzat Khalifa, Can Isik

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Distributed demand control ventilation (DDCV) has shown potential for improving both indoor air quality (IAQ) and energy consumption over conventional ventilation systems. However, ventilation strategies based on measurements of CO 2 concentrations suffer from several shortcomings due to issues related to accuracy and drift of off-the-shelf CO 2 sensors as well as the highly non-uniform distribution of CO 2 in typical office environments. In this paper, an alternative approach for DDCV is considered in which ventilation air and its conditions are modulated based on definitive knowledge of occupancy in a zone. Using energy and contaminant simulations, it is shown that it is possible to improve both energy consumption and IAQ by following this approach. Furthermore, the effects of uncertainties in occupancy estimates on IAQ and energy consumption are analysed to demonstrate the robustness of the proposed DDCV systems. Finally, some discussion on practical implementation of occupancy-based DDCV systems including occupancy sensors is provided.

Original languageEnglish (US)
Pages (from-to)359-369
Number of pages11
JournalInternational Journal of Ventilation
Volume9
Issue number4
StatePublished - Mar 2011

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Keywords

  • Distributed demand control ventilation
  • Energy benefit
  • IAQ
  • Occupancy-based ventilation

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Building and Construction

Cite this

Dhummi, V., Demetriou, D., Palanthandalam-Madapusi, H. J., Khalifa, H. E., & Isik, C. (2011). Robust occupancy-based distributed demand control ventilation. International Journal of Ventilation, 9(4), 359-369.