Wall-modeled lattice Boltzmann large-eddy simulation of neutral atmospheric boundary layers

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.

Wind Turbine Response in Waked Inflow: A Modelling Benchmark Against Full-Scale Measurements

“…At the bottom, we set the wall shear stress using a simple bounce-back scheme coupled to the wall modelling approach presented in Ref. [65]. The domain is periodic in the lateral direction.…”

Experimental and LBM analysis of medium-Reynolds number fluid flow around NACA0012 airfoil

“…UFX applies the LES turbulence model (Sagaut, 2006; Ferziger and Perić, 2002; Moser et al , 2021; Bose and Park, 2018) with a sub-grid scale Smagorinsky model (Asmuth et al , 2021; Dong et al , 2008; Sajjadi et al , 2017; Haussmann et al , 2019). Furthermore, UFX uses the turbulent boundary layer equation near the wall (Bose and Park, 2018; Chen et al , 2014).…”

“…the BGK operator (Bhatnagar et al, 1954;Filippova and Hänel, 1998;Tamura et al, 2011;Mendu and Das, 2012;Nathen et al, 2018;Jacob et al, 2019;Hejri et al, 2020). UFX applies the LES turbulence model (Sagaut, 2006;Ferziger and Peri c, 2002;Moser et al, 2021;Bose and Park, 2018) with a sub-grid scale Smagorinsky model (Asmuth et al, 2021;Dong et al, 2008;Sajjadi et al, 2017;Haussmann et al, 2019). Furthermore, UFX uses the turbulent boundary layer equation near the wall (Bose and Park, 2018;Chen et al, 2014).…”

WakeNet 0.1 - A Simple Three-dimensional Wake Model Based on Convolutional Neural Networks

“…The domain is periodic in y. The bottom boundary condition is a simple bounce-back scheme coupled to the iMEM wall modelling approach [30]. At the top, we use a symmetry boundary condition (simple bounce-forward, see [31]).…”