Large-eddy simulation in a complex hill terrain enabled by a compact fractional step OpenFOAM® solver

Vuorinen, Ville; Chaudhari, Ashvinkumar; Keskinen, Jukka-Pekka

doi:10.1016/j.advengsoft.2014.09.008

Cited by 43 publications

(26 citation statements)

References 31 publications

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“…The pressure is obtained by solving the Poisson equation. In OpenFOAM, the solver was first incorporated by Vuorinen et al (2014) and further extended for atmospheric flows by Vuorinen et al (2015). Since LES does not resolve eddies smaller than grid size, their effects are modelled using the one-equation eddy viscosity SGS model proposed by Yoshizawa (1993),…”

Section: Methodsmentioning

confidence: 99%

“…The numerical simulation reported here is carried out using a new OpenFOAM-based LES solver, recently implemented into OpenFOAM by Vuorinen et al (2015). The solver uses the classical fourth-order Runge-Kutta scheme for time integration and a projection method where the velocity field is corrected using the pressure gradient in between the Runge-Kutta substeps.…”

Section: Methodsmentioning

confidence: 99%

“…Part of the numerical results from the present LES study is partially utilised in another study by Vuorinen et al (2015). However, the sole purpose of that study was to validate the implementation of the authors' in-house OpenFOAM-based numerical solver rk4ProjectionFoam (Vuorinen et al 2015) and not to analyze the numerical results in depth.…”

Section: Introductionmentioning

confidence: 97%

“…However, the sole purpose of that study was to validate the implementation of the authors' in-house OpenFOAM-based numerical solver rk4ProjectionFoam (Vuorinen et al 2015) and not to analyze the numerical results in depth.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Experimental and Numerical Modelling of Flow over Complex Terrain: The Bolund Hill

Conan

Chaudhari

Aubrun

et al. 2015

Boundary-Layer Meteorol

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In the wind-energy sector, wind-power forecasting, turbine siting, and turbinedesign selection are all highly dependent on a precise evaluation of atmospheric wind conditions. On-site measurements provide reliable data; however, in complex terrain and at the scale of a wind farm, local measurements may be insufficient for a detailed site description. On highly variable terrain, numerical models are commonly used but still constitute a challenge regarding simulation and interpretation. We propose a joint state-of-the-art study of two approaches to modelling atmospheric flow over the Bolund hill: a wind-tunnel test and a large-eddy simulation (LES). The approach has the particularity of describing both methods in parallel in order to highlight their similarities and differences. The work provides a first detailed comparison between field measurements, wind-tunnel experiments and numerical simulations. The systematic and quantitative approach used for the comparison contributes to a better understanding of the strengths and weaknesses of each model and, therefore, to their enhancement. Despite fundamental modelling differences, both techniques result in only a 5 % difference in the mean wind speed and 15 % in the turbulent kinetic energy (TKE). The joint comparison makes it possible to identify the most difficult features to model: the near-ground flow and the wake of the hill. When compared to field data, both models reach 11 % error for the mean wind speed, which is close to the best performance reported in the literature. For the TKE, a great improvement is found using the LES model compared to previous studies (20 % error). Wind-tunnel results are in the low range of error when compared B Boris Conan 123 B. Conan et al.to experiments reported previously (40 % error). This comparison highlights the potential of such approaches and gives directions for the improvement of complex flow modelling.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Experimental and Numerical Modelling of Flow over Complex Terrain: The Bolund Hill

Conan

Chaudhari

Aubrun

et al. 2015

Boundary-Layer Meteorol

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show abstract

“…Various general purpose CFD codes have been used with success for simulation of such flows, but were mostly focused on validation studies of turbulence models, e.g. [1,11,12]. Inherent difficulties of these general purpose CFD codes related to complex topographies, such as accurate interpolation of dependent variables, in the presence of grid distortions present at complex terrains, however, are not studied in detail.…”

Section: Introductionmentioning

confidence: 98%

On the improved finite volume procedure for simulation of turbulent flows over real complex terrains

Mirkov

Rašuo

Kenjereš

2015

Journal of Computational Physics

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Validation and scalability of an open source parallel flow solver

Bricteux

Zeoli

Bourgeois

2017

Concurrency and Computation

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SummaryThis article concerns validation and verification (V&V) of the open source OpenFOAM incompressible flow solver that is widely used in both research and industry for the simulation of turbulent flows. Its numerical discretization scheme relies on classical finite volumes that are second order in space on regular grids. The solver is benchmarked using a challenging test case for which direct numerical simulation (DNS) reference data exist. The geometrical configuration of this flow is very simple, yet the behavior of the flow is 3D, complex, and unsteady, requiring an accurate flow solver to capture the associated physics. The physical problem addressed here requires huge computational grids. Computations are thus carried using parallel domain decomposition methods on a fairly large number of cores. The validation study performed here is particularly severe as it consists in comparing OpenFOAM results with DNS data obtained using high‐order codes. As simulations of turbulent flows require great computational resources, results concerning strong and weak scalability of the OpenFOAM flow solver are also presented. The performances of the code are assessed on two different HPC infrastructures. The experiences carried here show that OpenFOAM scales fairly up to 1000 cores on a Tier‐1cluster. The influences of the processor hardware and network topology are also highlighted. This study also provides profiling diagnostics thanks to the Integrated Performance Monitor (IPM).

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Large-eddy simulation in a complex hill terrain enabled by a compact fractional step OpenFOAM® solver

Cited by 43 publications

References 31 publications

Experimental and Numerical Modelling of Flow over Complex Terrain: The Bolund Hill

Experimental and Numerical Modelling of Flow over Complex Terrain: The Bolund Hill

On the improved finite volume procedure for simulation of turbulent flows over real complex terrains

Validation and scalability of an open source parallel flow solver

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