Towards real-time simulation of turbulent air flow over a resolved urban canopy using the cumulant lattice Boltzmann method on a GPGPU

Lenz, Stephan; Schönherr, Martin; Geier, Martin; Krafczyk, Manfred; Pasquali, Andrea; Christen, Andreas; Giometto, M. G.

doi:10.1016/j.jweia.2019.03.012

Cited by 57 publications

(23 citation statements)

References 70 publications

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“…In recent studies, the lattice Boltzmann method has been used for eddy-resolving simulations of turbulent flows in complicated geometries, such as flows in porous media (Chukwudozie & Tyagi 2013;Fattahi et al 2016) and flows over porous walls (Kuwata & Suga 2016a, rough walls (Kuwata & Kawaguchi 2018a and urban canopy (Onodera et al 2013;Lenz et al 2019), because of its advantages such as simplicity of the wall treatment, high spatial locality of the calculations and high accuracy resulting from low numerical dissipation and dispersion. For 3-D simulations using the lattice Boltzmann method, several possible alternatives can be used for discrete velocity and collision models.…”

Section: Numerical Approachmentioning

confidence: 99%

Direct numerical simulation of turbulent conjugate heat transfer in a porous-walled duct flow

2020

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Section: Numerical Approachmentioning

confidence: 99%

Direct numerical simulation of turbulent conjugate heat transfer in a porous-walled duct flow

2020

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“…Investigations of the effects of the limiter in more applied high-Reynolds-number cases are, however, not available to date. Geier et al (2017a) and Lenz et al (2019) presented applications of the parametrised CLBM, yet both did not touch upon the topic discussed here. Then again Pasquali et al (2017) In the following we investigate the impact of λ m on the characteristics of the wake in comparison to the case with Smagorinsky model presented in Sect.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, application-oriented studies of the utilized parametrised version of this collision operator (as further outlined in Sect. 2) are generally still limited, see Lenz et al (2019). A further motivation of this study is therefore to show the general potential of wind turbine wake simulations using the LBM and specifically the CLBM.…”

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confidence: 99%

Actuator Line Simulations of Wind Turbine Wakes Using the Lattice Boltzmann Method

Asmuth¹,

Olivares-Espinosa²,

Ivanell³

2019

Preprint

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Abstract. The presented work investigates the potential of large-eddy simulations (LES) of wind turbine wakes using the cumulant lattice Boltzmann method (CLBM). The wind turbine is represented by the actuator line model (ALM) that is implemented in a GPU-accelerated (Graphics Processing Unit) lattice Boltzmann framework. The implementation is validated and discussed by means of a code-to-code comparison to an established finite-volume Navier-Stokes solver. To this end, the ALM is subjected to a uniform laminar inflow while a standard Smagorinsky sub-grid scale model is employed in both numerical approaches. The comparison shows a good agreement in terms of the blade loads and near-wake characteristics. The main differences are found in the point of laminar-turbulent transition of the wake and the resulting far-wake. In line with other studies these differences can be attributed to the different orders of accuracy of the two methods. In a second part the possibilities of implicit LES with the CLBM are investigated using a limiter applied to the third-order cumulants in the scheme's collision operator. The study shows that the limiter generally ensures numerical stability. Nevertheless, a universal tuning approach for the limiter appears to be required, especially for perturbation-sensitive transition studies. In summary, the range of discussed cases outline the general feasibility of wind turbine simulations using the CLBM. In addition, it highlights the potential of GPU-accelerated LBM implementations to significantly speed up LES in the field of wind energy.

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“…To take advantage of these merits, we developed an LBM-based model for turbulent atmospheric boundary layer flow simulations and predictions. The LBM model has the potential to achieve real-time simulations on a typical desktop or laptop with a modern GPU (Obrecht et al 2015;King et al 2017;Lenz et al 2019;Onodera et al 2013) for large computational domains with several millions of computation grid points. Furthermore, the generation of computational grids for complex surface boundaries (e.g., urban geometries) in an LBM is very easy, and simple interpolation or immersed boundary methods (Guo et al 2002;Mei et al 1999;Filippova and Hänel 1998) can be applied.…”

Section: Introductionmentioning

confidence: 99%

“…Cheng et al (2012) applied an LBGK to turbulent atmospheric boundary layer flow. More recently, there have been many publications using regularized LBM-LES and cumulant LBM for turbulent urban flow applications (Jacob et al 2018;Merlier et al 2019;Margheri and Sagaut 2016;Jacob and Sagaut 2018;Mons et al 2017;King et al 2017;Lenz et al 2019). However, there is limited literature on MRT LBM modeling of turbulent flows (Krafczyk et al 2003;Yu et al 2006;Obrecht et al 2015;Wang et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Large-Eddy Simulations of Turbulent Flows around Buildings Using the Atmospheric Boundary Layer Environment–Lattice Boltzmann Model (ABLE-LBM)

Wang

Decker

Pardyjak

2020

Journal of Applied Meteorology and Climatology

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A three-dimensional, prognostic Atmospheric Boundary Layer Environment-Lattice Boltzmann Model (ABLE-LBM) using the multiple-relaxation-time lattice Boltzmann method was developed for large-eddy simulation of urban boundary layer atmospheric flows. In this article we describe the details of the ABLE-LBM for urban flow, its implementation of complex boundaries, and the subgrid turbulence parameterizations. As a first validation of this newly developed model, the simulation results were evaluated with two wind-tunnel datasets that were collected using particle image velocimetry and Irwin probes, respectively. The ABLE-LBM simulations use the same building layout and Reynolds numbers used in the laboratory wind tunnels. The ABLE-LBM simulations compare favorably to both laboratory studies in terms of the mean wind fields. The turbulent fluxes simulated by the model in the observational planes also agreed reasonably well with the laboratory results. The model produced urban canyon flows and vortices on the lee side and over the building tops that are similar to those of the laboratory studies in strength and location. This validation study using laboratory data indicates that our new ABLE-LBM is a viable approach for modeling atmospheric turbulent flows in urban environments. A numerical implementation using a graphics processing unit shows that real-time simulations are achieved for these two validation cases.

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Towards real-time simulation of turbulent air flow over a resolved urban canopy using the cumulant lattice Boltzmann method on a GPGPU

Cited by 57 publications

References 70 publications

Direct numerical simulation of turbulent conjugate heat transfer in a porous-walled duct flow

Direct numerical simulation of turbulent conjugate heat transfer in a porous-walled duct flow

Actuator Line Simulations of Wind Turbine Wakes Using the Lattice Boltzmann Method

Large-Eddy Simulations of Turbulent Flows around Buildings Using the Atmospheric Boundary Layer Environment–Lattice Boltzmann Model (ABLE-LBM)

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