Evaluation of various turbulence models to predict indoor conditions in a naturally ventilated room
MetadataShow full item record
This item's downloads: 390 (view details)
Hajdukiewicz, M; Geron, M.; Keane, MM (2013) Evaluation of various turbulence models to predict indoor conditions in a naturally ventilated room The 11th REHVA World Congress & 8th International Conference on IAQVEC (CLIMA 2013) Prague, Czech Republic, 2013-06-16- 2013-06-19
In recent years, Computational Fluid Dynamics (CFD) has become a popular tool in building simulation. However, developing reliable CFD models requires a high level of expertise in fluid dynamics and numerical techniques. Furthermore, choosing the right turbulence model is a crucial issue for an accurate CFD analysis. The objective of this work is to utilise Reynolds Averaged Navier - Stokes (RANS) models to predict airflow patterns and air temperature stratification inside an operating naturally ventilated study room, occupied by a person working on a laptop. The paper is a continuation of a recently published work on CFD model calibration; and explores the performance of various turbulence models to accurately simulate indoor conditions. This is done through a comparison of the simulation results with the measurements in a normally operating building. The results of zero equation, standard k-ε, RNG k-ε, k-ε EARSM, standard k-ω and SST k-ω turbulence models are qualitatively analysed and quantitatively evaluated against field measurements performed in a normally operating building. Based on the accuracy and computational stability of the simulations, recommendations are given for the most accurate turbulence model in predicting indoor conditions in a normally operating naturally ventilated room occupied by a person.
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.
The following license files are associated with this item: