Abstract

The lattice Boltzmann method (LBM) sees a growing popularity in the field of atmospheric sciences and wind energy, largely due to its excellent computational performance. Still, LBM large-eddy simulation (LES) studies of canonical atmospheric boundary layer flows remain limited. One reason for this is the early stage of development of LBM-specific wall models. In this work, we discuss LBM–LES of isothermal pressure-driven rough-wall boundary layers using a cumulant collision model. To that end, we also present a novel wall modeling approach, referred to as inverse momentum exchange method (iMEM). The iMEM enforces a wall shear stress at the off-wall grid points by adjusting the slip velocity in bounce-back boundary schemes. In contrast to other methods, the approach does not rely on the eddy viscosity, nor does it require the reconstruction of distribution functions. Initially, we investigate different aspects of the modeling of the wall shear stress, i.e., an averaging of the input velocity as well as the wall-normal distance of its sampling location. Particularly, sampling locations above the first off-wall node are found to be an effective measure to reduce the occurring log-layer mismatch. Furthermore, we analyze the turbulence statistics at different grid resolutions. The results are compared to phenomenological scaling laws, experimental, and numerical references. The analysis demonstrates a satisfactory performance of the numerical model, specifically when compared to a well-established mixed pseudo-spectral finite difference (PSFD) solver. Generally, the study underlines the suitability of the LBM and particularly the cumulant LBM for computationally efficient LES of wall-modeled boundary layer flows.

Highlights

  • Large-eddy simulation (LES) has become one of the most widely used numerical methods for the study of the atmospheric boundary layer (ABL).[1]

  • We explore the potential of the lattice Boltzmann method (LBM) for large-eddy simulation (LES) of neutral ABL flows

  • A common approach for LBM–LES is the adoption of eddyviscosity sub-grid scales (SGS) models as found in classical LES based on the filtered Navier–Stokes equations (NSE).[55]

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Summary

INTRODUCTION

Large-eddy simulation (LES) has become one of the most widely used numerical methods for the study of the atmospheric boundary layer (ABL).[1]. The LBM numerically solves the simplified Boltzmann equation (BE) which can be shown to converge to the solution of the weakly compressible Navier–Stokes equations in the limit of low Mach and Knudsen numbers.[25,26,27] The decisive factor for the excellent computational performance is the simplicity of the numerical scheme, characterized by an explicit time-stepping, the locality of all non-linear terms, and a direct advection (streaming) requiring no interpolation. These characteristics render the LBM suitable for implementations on GPUs (graphics processing units).

THE LATTICE BOLTZMANN METHOD
The cumulant collision model
Sub-grid scale model
WALL MODELLING
Wall models based on wet-node boundary conditions
Slip-velocity-based wall models using bounce-back schemes
Immersed virtual wall method
A new wall model
The inverse momentum exchange method
Estimating the wall shear stress
NUMERICAL SETUP AND CASE DESCRIPTION
IMPACT OF WALL SHEAR STRESS MODEL
Log-layer mismatch
GRID SENSITIVITY
Mean velocities and shear stress
Variances
Higher-order moments
One-dimensional velocity spectra and auto-correlations
Findings
CONCLUSION
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