ProLB: A lattice Boltzmann solver of large-eddy simulation for atmospheric boundary layer flows

Abstract

The atmospheric boundary layer (ABL) ranges from hundreds of meters to several kilometers depending on meteorological conditions, mainly wind, temperature, and humidity. Thus, structure of ABL is modified by the daily cycle of heating and cooling over Earth's surface producing three canonical types of boundary layers: convective or unstable, neutral, and stable boundary layers. Convective boundary layer is commonly observed during day when the surface is heated by the sun resulting in a positive buoyancy force, while stable boundary layer occurs during night when surface is cooled by radiation producing a negative buoyancy force, and neutral boundary layer is the case between the former two with little or no buoyancy.The structure of ABL has an important effect on anthropic activities such as mesoscale weather forecasting or pollutant dispersion in urban areas (Fernando et al., 2001). To better understand ABL and related urban processes, numerical simulation is a good complement to field measurements and wind tunnel experiments (Blocken, 2015). In the past much attention has been paid to the accurate CFD modeling of the ABL, both using Reynolds-averaged Navier-Stokes and large-eddy simulation (LES) approaches.LES (Sagaut, 2006), which is a high-fidelity approach for the unsteady simulation of turbulent flows, has been successfully applied to simulation of ABL (e.g.,

Multiphysics flow simulations using D3Q19 lattice Boltzmann methods based on central moments

“…However, it was recently proven that numerical errors -notably those induced by the equilibriumare at the origin of the latter rotational problem in-stead of the lattice itself 44 . This is in agreement with the fact that several commercial solvers (e.g., Power-FLOW and ProLB) rely on D3Q19 formulations -with regularized/filtered collision models whose equilibria include high-order velocity terms-without suffering from such anistropic issues [45][46][47][48][49] .…”

Hybrid recursive regularized lattice Boltzmann simulation of humid air with application to meteorological flows

“…The classical Smagorinsky model is adopted as the subgrid model in the large-eddy simulation [60] and the surface model of the horizontal momentum components, temperature and humidity is using the Monin -Obukhov similarity theory (MOST) [61]. The incorporating LES within framework of lattice Boltzmann method for atmospheric boundary layer flows are detailed in [62]. The constant of the Smagorinsky subgrid viscosity model is taken equal to C S = 0.15 and turbulent Prandtl numbers of K t = 0.33 and K q = 0.33 are adopted both for potential temperature and water fraction equations.…”

Hybrid lattice Boltzmann model for atmospheric flows under anelastic approximation

“…8 Due to advantages of the lattice Boltzmann method (LBM) for massively parallel computing as well as its high fidelity and low dispersion, there are significant research efforts devoted to extending LBM to large-scale urban flows and shallow atmospheric boundary layer flows. [9][10][11][12] The LBM is originally a weakly compressible flows solver, which has been developed to an efficient method for complex flows. 13,14 The applications of LBM cover, among others, aerodynamic studies on full-scale vehicles, turbulent flows in urban areas, 15 aerodynamic predictions on airfoils.…”