Large eddy simulation of atmospheric boundary layer flow over complex terrain in comparison with RANS simulation and on-site measurements under neutral stability condition

Author:

Han Yi123ORCID,Stoellinger Michael Karl3ORCID,Peng Huaiwu1ORCID,Zhang Lihui2,Liu Wei1

Affiliation:

1. Power China Northwest Engineering Corporation Limited 1 , Xi'an, Shaanxi 710065, China

2. Xi'an Thermal Power Research Institute Co., Ltd 2 ., Xi'an, Shaanxi 710054, China

3. Department of Mechanical Engineering, University of Wyoming 3 , Laramie, Wyoming 82071, USA

Abstract

Large eddy simulation (LES) of the atmospheric boundary layer (ABL) flow over complex terrain is presented with a validation using meteorological tower (met-tower) data through an improved neutral stability sampling approach. The proposed stability sampling procedure includes a condition based on the most-likely occurrence time-periods of the neutral ABL and reduces the variabilities of the conditional wind statistics calculated at the met-towers in comparison to our previous work. The ABL flow simulations are carried out over a potential wind site with a prominent hill based using the OpenFOAM-based simulator for on/off-shore wind farm applications by applying the Lagrangian-averaged scale-invariant dynamic sub-grid scale turbulence model. A low-dissipative scale-selective discretization scheme for the non-linear convection term in the LES governing equation is adopted implicitly to ensure both the second-order accuracy and bounded solution. The LES inflow is generated through a precursor method with a “tiling” approach based on the flow driving parameters obtained from a corresponding Reynolds-averaged Navier–Stokes (RANS) simulation. Overall, the averaged wind velocity profiles predicted by the LES approach at all met-tower locations show a similar tendency as the RANS results, which are also in reasonable agreement with the met-tower data. An obvious difference in wind speed standard deviation profiles is seen between LES and RANS, especially at regions downstream of the hill edge, where the LES shows under-predicted results at the highest measurement levels in comparison to the tower data. The computational costs of the LES are found to be about 20 times higher than the RANS simulations.

Funder

National Natural Science Foundation of China

U.S. Department of Energy, Office of Science, Basic Energy Sciences

Publisher

AIP Publishing

Subject

Renewable Energy, Sustainability and the Environment

Reference50 articles.

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