TY - JOUR
T1 - Fast fluid dynamics simulation of airflow around a single bluff body under different turbulence models and discretization schemes
AU - Li, Ruibin
AU - Liu, Zhanpeng
AU - Zhao, Yi
AU - Wu, Yan
AU - Niu, Jianlei
AU - Wang, Liangzhu (Leon)
AU - Gao, Naiping
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China under the project number of 52078353 , the Research Scheme of Research Grant Council of Hong Kong SAR, China (Project No. T22-504/21R ), and the Fundamental Research Funds for the Central Universities .
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/7/1
Y1 - 2022/7/1
N2 - 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.
AB - 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.
KW - Bluff body
KW - Discretization scheme
KW - OpenFOAM
KW - Pressure-correction scheme
KW - Turbulence model
KW - Urban airflow distribution
UR - http://www.scopus.com/inward/record.url?scp=85130937689&partnerID=8YFLogxK
U2 - 10.1016/j.buildenv.2022.109235
DO - 10.1016/j.buildenv.2022.109235
M3 - Journal article
AN - SCOPUS:85130937689
SN - 0360-1323
VL - 219
JO - Building and Environment
JF - Building and Environment
M1 - 109235
ER -