Journal
BUILDING AND ENVIRONMENT
Volume 219, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2022.109235
Keywords
Pressure-correction scheme; Urban airflow distribution; Turbulence model; Discretization scheme; Bluff body; OpenFOAM
Funding
- National Natural Science Foundation of China [52078353]
- Research Scheme of Research Grant Council of Hong Kong SAR, China [T22-504/21R]
- Fundamental Research Funds for the Central Universities
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This study compares three pressure-correction schemes (NIPC, SIPC, and NSPF) implemented in OpenFOAM for predicting the airflow distribution around a bluff body. The results show that all three schemes accurately predict the main airflow characteristics. NSPF combined with RNG or SQKE turbulence model and first-order upwind scheme is found to be a reasonable choice for fast simulation of urban airflow distributions.
Fast and accurate simulation of outdoor airflow distribution is important for studying urban microclimate. Choosing a reasonable turbulence model and discretization scheme is not only related to the computational accuracy but also to efficiency. However, conventional CFD methods are computationally intensive and slow for unsteady problems, and thus cannot meet the demand for fast simulation of urban microclimate. In this paper, three pressure-correction schemes (i.e., NIPC, SIPC, and NSPF) for solving the N-S equation item by item are implemented in OpenFOAM, and then the differences are compared when applying different turbulence models and discretization schemes to quickly simulate the airflow distribution around a single 1:1:2 bluff body. All pressure-correction schemes can accurately predict the main airflow characteristics around the bluff body. The three schemes are about 2.5-3.5 times faster than the PISO algorithm, and they take the shortest computational time when applying RKE, followed by SQKE and RNG, while the longest computational time is required when applying SKE and LBKE. NIPC and SIPC have similar computational speeds, while NSPF is about 10-16% faster than them. The pressure-correction scheme with the first-order upwind scheme is about 6-10% faster than the second-order discretization scheme. Considering both computational accuracy and efficiency, the combination of NSPF with RNG or SQKE turbulence model and first-order upwind scheme may be a reasonable choice to quickly simulate the urban airflow distributions.
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