CFD Analysis for a Wind Tunnel Experiment for Investigating the Performance of Turbulence Models
Publication: ASCE Inspire 2023
ABSTRACT
The analysis of wind flow around buildings plays a significant role in terms of evaluating wind energy, pollutant dispersion, energy efficiency, and energy management. Careful consideration of the turbulence model is critical in the simulation since diverse Reynolds-averaged Navier-Stokes (RANS) models have varying potential and accuracy in every part of the computational domain. In the present study, a computational fluid dynamics (CFD) simulation of an isolated building in a wind tunnel is conducted using three different turbulence models, namely standard k–ε, SST k-ω, and k–ε realizable. The simulation results are validated by comparing them with experimental data obtained in multiple positions on the rooftop. Additionally, the characteristics of turbulence models in the backward region are investigated. The results revealed that the SST k-ω turbulence model has better performance on the top of the buildings.
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REFERENCES
Rezaeiha, A., Montazeri, H., and Blocken, B. (2020). A framework for preliminary large-scale urban wind energy potential assessment: Roof-mounted wind turbines. Energy Conversion and Management, 214, 112770.
Kwok, K. C. S., and Hu, G. (2023). Wind energy system for buildings in an urban environment. Journal of Wind Engineering and Industrial Aerodynamics, 234, 105349.
Blocken, B., and Carmeliet, J. (2004). Pedestrian wind environment around buildings: Literature review and practical examples. Journal of Thermal Envelope and Building Science, 28(2), 107–159.
Mittal, H., Sharma, A., and Gairola, A. (2018). A review on the study of urban wind at the pedestrian level around buildings. Journal of Building Engineering, 18, 154–163.
Tominaga, Y., and Shirzadi, M. (2021). Wind tunnel measurement of three-dimensional turbulent flow structures around a building group: Impact of high-rise buildings on pedestrian wind environment. Building and Environment, 206, 108389.
Blocken, B., Moonen, P., Stathopoulos, T., and Carmeliet, J. (2008). Numerical study on the existence of the venturi effect in passages between perpendicular buildings. Journal of engineering mechanics, 134(12), 1021–1028.
Li, B., Luo, Z., Sandberg, M., and Liu, J. (2015). Revisiting the ‘Venturi effect’in passage ventilation between two non-parallel buildings. Building and Environment, 94, 714–722.
Kwok, K. C. S., and Hu, G. (2023). Wind energy system for buildings in an urban environment. Journal of Wind Engineering and Industrial Aerodynamics, 234, 105349.
Juan, Y. H., Rezaeiha, A., Montazeri, H., Blocken, B., Wen, C. Y., and Yang, A. S. (2022). CFD assessment of wind energy potential for generic high-rise buildings in close proximity: Impact of building arrangement and height. Applied Energy, 321, 119328.
Blocken, B. (2018, October). LES over RANS in building simulation for outdoor and indoor applications: A foregone conclusion? In Building Simulation (Vol. 11, No. 5, pp. 821–870). Berlin/Heidelberg: Springer Berlin Heidelberg.
Dhunny, A. Z., Toja-Silva, F., Peralta, C., Lollchund, M. R., and Rughooputh, S. D. D. V. (2017). Computational fluid dynamics simulation and full-scale experimental model inter-comparison of the wind flow around a university campus. Wind Engineering, 41(1), 43–54.
Behrouzi, F., Sidik, N. A. C., Malik, A. M. A., and Nakisa, M. E. H. D. I. (2014). Prediction of wind flow around high-rise buildings using RANS models. In Applied Mechanics and Materials (Vol. 554, pp. 724–729). Trans Tech Publications Ltd.
Toja-Silva, F., Peralta, C., Lopez-Garcia, O., Navarro, J., and Cruz, I. (2015). Effect of roof-mounted solar panels on the wind energy exploitation on high-rise buildings. Journal of Wind Engineering and Industrial Aerodynamics, 145, 123–138.
Architectural Institute of Japan. (2007). Guidebook for Practical Applications of CFD to Pedestrian Wind Environment around Buildings. Architectural Institute of Japan. http://www.aij.or.jp/jpn/publish/cfdguide/index_e.htm.
Meng, Y., and Hibi, K. (1998). Turbulent measurements of the flow field around a high-rise building. Wind Engineers, JAWE, 1998(76), 55–64.
Cheng, Y., Lien, F. S., Yee, E., and Sinclair, R. (2003). A comparison of large eddy simulations with a standard k–ε Reynolds-averaged Navier–Stokes model for the prediction of a fully developed turbulent flow over a matrix of cubes. Journal of Wind Engineering and Industrial Aerodynamics, 91(11), 1301–1328.
Jones, W. P., and Launder, B. E. (1972). The prediction of laminarization with a two-equation model of turbulence. International journal of heat and mass transfer, 15(2), 301–314.
Shih, T. H., Liou, W. W., Shabbir, A., Yang, Z., and Zhu, J. (1995). A new k-ϵ eddy viscosity model for high reynolds number turbulent flows. Computers & fluids, 24(3), 227–238.
Menter, F. R. (1994). Two-equation eddy-viscosity turbulence models for engineering applications. AIAA journal, 32(8), 1598–1605.
Tominaga, Y., Mochida, A., Murakami, S., and Sawaki, S. (2008). Comparison of various revised k– ε models and LES applied to flow around a high-rise building model with 1: 1: 2 shape placed within the surface boundary layer. Journal of Wind Engineering and Industrial Aerodynamics, 96(4), 389–411.
Franke, J., Hellsten, A., Schlünzen, K. H., and Carissimo, B. (2007). Best practice guideline for the CFD simulation of flows in the urban environment-a summary. In 11th Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Cambridge, UK, July 2007. Cambridge Environmental Research Consultants.
Blocken, B. (2015). Computational Fluid Dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations. Building and Environment, 91, 219–245.
Van Hooff, T., and Blocken, B. (2010). Coupled urban wind flow and indoor natural ventilation modelling on a high-resolution grid: A case study for the Amsterdam ArenA stadium. Environmental Modelling & Software, 25(1), 51–65.
Roache, P. J. (1997). Quantification of uncertainty in computational fluid dynamics. Annual review of fluid Mechanics, 29(1), 123–160.
Mochida, A., Tominaga, Y., Murakami, S., Yoshie, R., Ishihara, T., and Ooka, R. (2002). Comparison of various ke models and DSM applied to flow around a highrise building-report on AU cooperative project for CFD prediction of wind environment. Wind and Structures, 5(2-4), 227–244.
Liu, J., and Niu, J. (2016). CFD simulation of the wind environment around an isolated high-rise building: An evaluation of SRANS, LES and DES models. Building and Environment, 96, 91–106.
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ASCE Inspire 2023
Pages: 895 - 904
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Published online: Nov 14, 2023
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