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

Feng, Ying; Boivin, Pierre; Jacob, Jérôme; Sagaut, Pierre

doi:10.1103/physreve.100.023304

Cited by 28 publications

(46 citation statements)

References 65 publications

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“…Non-local collision terms refer to all methods that invoke correction terms based on finite differences. A recent example is the hybrid recursive regularized lattice Boltzmann [31]. Finite differences can also be used to correct for the phase error in lattice Boltzmann [32].…”

Section: Introductionmentioning

confidence: 99%

Under-resolved and large eddy simulations of a decaying Taylor–Green vortex with the cumulant lattice Boltzmann method

Geier

Lenz

Schönherr

et al. 2020

Theor. Comput. Fluid Dyn.

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We present a comprehensive analysis of the cumulant lattice Boltzmann model with the three-dimensional Taylor–Green vortex benchmark at Reynolds number 1600. The cumulant model is investigated in several different variants, using regularization, fourth-order convergent diffusion and fourth-order convergent advection with and without limiters. In addition, a cumulant model combined with a WALE sub-grid scale model is being evaluated. The turbulence model is found to filter out the high wave number contributions from the energy spectrum and the enstrophy, while the non-filtered cumulant methods show good correspondence to spectral simulations even for the high wave numbers. The application of the WALE turbulence model appears to be counter productive for the Taylor–Green vortex at a Reynolds number of 1600. At much higher Reynolds numbers ($${\hbox {Re}}=160{,}000$$ Re = 160 , 000 ) a deviation from the ideal Kolmogorov theory can be observed in the absence of an explicit turbulence model. Cumulant models with fourth-order convergent diffusion show much better results than single relaxation time methods.

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Section: Introductionmentioning

confidence: 99%

Under-resolved and large eddy simulations of a decaying Taylor–Green vortex with the cumulant lattice Boltzmann method

Geier

Lenz

Schönherr

et al. 2020

Theor. Comput. Fluid Dyn.

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“…The external force terms like the buoyancy term in Eq. (3b) are incorporated through Feng et al, 2019a] 327…”

Section: Implementation Of Buoyancy Coriolis and Sponge Forces 324mentioning

confidence: 99%

ProLB: A Lattice Boltzmann Solver of Large‐Eddy Simulation for Atmospheric Boundary Layer Flows

Feng

Fuentes

Guo

et al. 2021

J Adv Model Earth Syst

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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.,

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“…It is observed to yield accurate and robust results for a broad range of applications and flow physics, e.g. [32,33,14,34,35].…”

Section: Pressure-based Lattice-boltzmann Solver Coupled To a Predictorcorrector Approachmentioning

confidence: 99%

“…The LBM has been gaining more and more interest in the industry, with practical applications in the automotive industry, the aerospace industry, but also in civil engineering, among other applications. Feng et al [14] have also developed the LBM for meteorological applications, and their study will serve as a guideline for this article. Nevertheless, they use the Boussinesq approximation which is not the case here as explained previously.…”

Section: Introductionmentioning

confidence: 99%

Compressible pressure-based Lattice-Boltzmann applied to humid air with phase change

Cheylan

Zhao

Boivin

et al. 2021

Applied Thermal Engineering

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A new compressible pressure-based Lattice Boltzmann Method is proposed to simulate humid air flows with phase change. The variable density and compressible effects are fully resolved, effectively lifting the Boussinesq approximation commonly used, e.g. for meteorological flows. Previous studies indicate that the Boussinesq assumption can lead to errors up to 25%, but the model remains common, for compressible models often suffer from a lack of stability. In order to overcome this issue, a new pressure-based solver is proposed, exhibiting excellent stability properties. Mass and momentum conservation equations are solved by a hybrid recursive regularized Lattice-Boltzmann approach, whereas the enthalpy and species conservation equations are solved using a finite volume method. The solver is based on a pressure-based method coupled with a predictor-corrector algorithm, and incorporates a humid equation of state, as well as a specific boundary condition treatment for phase change. In particular, boundary conditions that handle mass leakage are also proposed and validated. Three test cases are investigated in order to validate this new approach: the Rayleigh-Bénard instability applied to humid air, the atmospheric rising of a condensing moist bubble, and finally the evaporation of a thin liquid film in a vertical channel. Results indicate that the proposed pressure-based Lattice-Boltzmann model is stable and accurate on all cases.

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

Cited by 28 publications

References 65 publications

Under-resolved and large eddy simulations of a decaying Taylor–Green vortex with the cumulant lattice Boltzmann method

Under-resolved and large eddy simulations of a decaying Taylor–Green vortex with the cumulant lattice Boltzmann method

ProLB: A Lattice Boltzmann Solver of Large‐Eddy Simulation for Atmospheric Boundary Layer Flows

Compressible pressure-based Lattice-Boltzmann applied to humid air with phase change

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