Abstract
Indoor airflow significantly influences the spatial distribution of indoor contaminants, and thus the health and comport of room occupants. Numerical simulation based on computational fluid dynamics (CFD) is considered a relatively convenient method in room airflow research. Several numerical models have been developed for different applications. There is little agreement that has been reached yet on a more acceptable CFD model due to the multitude and variability of variables affecting the room airflow. A lack of experimental data for CFD model development is another bottleneck in this area. In this paper, airflow in a full-scale room was modeled using six different CFD models and the results were compared with experimental data obtained using particle image velocimetry technology. The results indicated that the RNG k-ε model would be preferred for predicting the airflow in a full-scale room over the other models.
Original language | English (US) |
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Title of host publication | ASAE Annual International Meeting 2004 |
Pages | 5239-5259 |
Number of pages | 21 |
State | Published - 2004 |
Event | ASAE Annual International Meeting 2004 - Ottawa, ON, Canada Duration: Aug 1 2004 → Aug 4 2004 |
Other
Other | ASAE Annual International Meeting 2004 |
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Country/Territory | Canada |
City | Ottawa, ON |
Period | 8/1/04 → 8/4/04 |
Keywords
- Airflow
- Computational fluid dynamics (cfd)
- Full-scale room
- PIV
ASJC Scopus subject areas
- General Engineering