Simulation of micro aggregate breakage in turbulent flows by the cumulant lattice Boltzmann method

Far, Ehsan Kian; Geier, Martin; Kutscher, Konstantin; Krafczyk, Manfred

doi:10.1016/j.compfluid.2016.10.001

Cited by 28 publications

(15 citation statements)

References 39 publications

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“…This increase in computational demand relates both to the size of considered domains and to the physical time simulated. Examples of the former are simulations of entire offshore wind farms (Churchfield et al, 2012b;Abkar and Porté-Agel, 2013;Nilsson et al, 2015) or large areas of complex orography (Ivanell et al, 2018;Fang et al, 2018). An extreme example of the latter is the work by Abkar et al H. Asmuth et al: Actuator line simulations of wind turbine wakes using the lattice Boltzmann method (2016) investigating the wakes in a wind farm throughout two diurnal cycles.…”

Section: Introductionmentioning

confidence: 99%

Actuator line simulations of wind turbine wakes using the lattice Boltzmann method

2020

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Abstract. The high computational demand of large-eddy simulations (LESs) remains the biggest obstacle for a wider applicability of the method in the field of wind energy. Recent progress of GPU-based (graphics processing unit) lattice Boltzmann frameworks provides significant performance gains alleviating such constraints. The presented work investigates the potential of LES of wind turbine wakes using the cumulant lattice Boltzmann method (CLBM). The wind turbine is represented by the actuator line model (ALM). 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 both laminar and turbulent inflow while a standard Smagorinsky sub-grid-scale model is employed in the two numerical approaches. The resulting wake characteristics are discussed in terms of the first- and second-order statistics as well the spectra of the turbulence kinetic energy. The near-wake characteristics in laminar inflow are shown to match closely with differences of less than 3 % in the wake deficit. Larger discrepancies are found in the far wake and relate to differences in the point of the laminar-turbulent transition of the wake. In line with other studies, these differences can be attributed to the different orders of accuracy of the two methods. Consistently better agreement is found in turbulent inflow due to the lower impact of the numerical scheme on the wake transition. In summary, the study outlines the feasibility of wind turbine simulations using the CLBM and further validates the presented set-up. Furthermore, it highlights the computational potential of GPU-based LBM implementations for wind energy applications. For the presented cases, near-real-time performance was achieved using a single, off-the-shelf GPU on a local workstation.

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Section: Introductionmentioning

confidence: 99%

Actuator line simulations of wind turbine wakes using the lattice Boltzmann method

2020

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“…While being efficient, EsoTwist is also very flexible and is easily applied to real-world applications with complex boundaries. It also combines very favorably with local grid refinement techniques as shown in several publications [22,23,26,28].…”

Section: Discussionmentioning

confidence: 99%

“…The EsoTwist data structure has been successfully implemented both on parallel CPU systems [22,23] and on GPUs [26][27][28]. Here, we focus on the implementation for GPUs in connection with indirect addressing.…”

Section: Resultsmentioning

confidence: 99%

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Esoteric Twist: An Efficient in-Place Streaming Algorithmus for the Lattice Boltzmann Method on Massively Parallel Hardware

Geier

Schönherr

2017

Computation

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Abstract:We present and analyze the Esoteric Twist algorithm for the Lattice Boltzmann Method. Esoteric Twist is a thread safe in-place streaming method that combines streaming and collision and requires only a single data set. Compared to other in-place streaming techniques, Esoteric Twist minimizes the memory footprint and the memory traffic when indirect addressing is used. Esoteric Twist is particularly suitable for the implementation of the Lattice Boltzmann Method on Graphic Processing Units.

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“…This unconditionally damps all higher-order perturbations providing an inherently stable solution and thereby an extremely robust numerical framework. Numerous studies have shown that the ALLONE CLBM can be readily applied to high Reynolds number flows (see, Geier et al, 2015;Far et al, 2016;Gehrke et al, 2017;Kutscher et al, 2018;. A further development of the original ALLONE is the parametrised CLBM presented in Geier et al (2017b).…”

Section: Governing Equationsmentioning

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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Simulation of micro aggregate breakage in turbulent flows by the cumulant lattice Boltzmann method

Cited by 28 publications

References 39 publications

Actuator line simulations of wind turbine wakes using the lattice Boltzmann method

Actuator line simulations of wind turbine wakes using the lattice Boltzmann method

Esoteric Twist: An Efficient in-Place Streaming Algorithmus for the Lattice Boltzmann Method on Massively Parallel Hardware

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

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