Characterizing and Predicting Ultrafine Particle Number Concentration in an Office by CFD Method

Wang, Lina & Morawska, Lidia (2008) Characterizing and Predicting Ultrafine Particle Number Concentration in an Office by CFD Method. In First International Conference on Building Energy and Environment COBEE, 13 - 16 July 2008, Dalian, China.


This research aims to characterise ultrafine particle distribution in an office, by investigating printers and air supply units as potential sources of indoor particles. Ultrafine Particle number concentrations, as well as office characteristics such as temperature and airflow were analysed using the computational fluid dynamics (CFD) method and standard k-ε model. Our findings suggest that reasonable estimates of indoor ultrafine particle number concentration can be made by considering at both indoor and outdoor sources. It was found that the greatest ultrafine particle number concentrations were not necessarily found at locations closest to the indoor particle sources and that the concentrations close to the air inlets also displayed significant particle concentrations. Conversely, at points far away from the airflow inlets (in the corners of the room), ultrafine particle number concentration was somewhat higher, as a result of poor airflow circulation, which failed to circulate these particles for removal at the outlet.

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ID Code: 15422
Item Type: Conference Paper
Refereed: No
Additional URLs:
Keywords: Computational Fluid Dynamics, Ultrafine Particles, Particle Number Concentration, Office
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > INTERDISCIPLINARY ENGINEERING (091500) > Fluidisation and Fluid Mechanics (091504)
Australian and New Zealand Standard Research Classification > EARTH SCIENCES (040000) > ATMOSPHERIC SCIENCES (040100) > Atmospheric Sciences not elsewhere classified (040199)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2008 (please consult author)
Deposited On: 31 Oct 2008 00:00
Last Modified: 29 Feb 2012 13:51

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