Co-optimisation of indoor environmental quality and energy consumption within urban office buildings

Quang, Tran Ngoc, He, Congrong, Knibbs, Luke D., de Dear, Richard and Morawska, Lidia (2014) Co-optimisation of indoor environmental quality and energy consumption within urban office buildings. Energy and Buildings, 85 225-234. doi:10.1016/j.enbuild.2014.09.021

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Author Quang, Tran Ngoc
He, Congrong
Knibbs, Luke D.
de Dear, Richard
Morawska, Lidia
Title Co-optimisation of indoor environmental quality and energy consumption within urban office buildings
Journal name Energy and Buildings   Check publisher's open access policy
ISSN 0378-7788
Publication date 2014-12
Sub-type Article (original research)
DOI 10.1016/j.enbuild.2014.09.021
Open Access Status
Volume 85
Start page 225
End page 234
Total pages 10
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2015
Language eng
Formatted abstract
• Study developed a model for IEQ and energy consumption within an office building.
• Particle Number and CO2 with consideration for thermal comfort, were investigated.
• Free-cooling with outdoor air filtration operation can improve indoor air quality.
• Can also save building energy during milder weather.
• The integrated model will be useful tool for simulating operation of building HVAC.

This study aimed to develop a multi-component model that can be used to maximise indoor environmental quality inside mechanically ventilated office buildings, while minimising energy usage. The integrated model, which was developed and validated from fieldwork data, was employed to assess the potential improvement of indoor air quality and energy saving under different ventilation conditions in typical air-conditioned office buildings in the subtropical city of Brisbane, Australia. When operating the ventilation system under predicted optimal conditions of indoor environmental quality and energy conservation and using outdoor air filtration, average indoor particle number (PN) concentration decreased by as much as 77%, while indoor CO2 concentration and energy consumption were not significantly different compared to the normal summer time operating conditions. Benefits of operating the system with this algorithm were most pronounced during the Brisbane's mild winter. In terms of indoor air quality, average indoor PN and CO2 concentrations decreased by 48% and 24%, respectively, while potential energy savings due to free cooling went as high as 108% of the normal winter time operating conditions. The application of such a model to the operation of ventilation systems can help to significantly improve indoor air quality and energy conservation in air-conditioned office buildings.
Keyword Particle number
Outdoor air flow rate
Multi-component model
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Public Health Publications
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
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Created: Fri, 10 Oct 2014, 08:10:26 EST by Luke Knibbs on behalf of School of Public Health