Consistent Boundary-Condition Treatment for Computation of the Atmospheric Boundary Layer Using the Explicit Algebraic Reynolds-Stress Model

Želi, Velibor; Brethouwer, Geert; Wallin, Stefan; Johansson, A.

doi:10.1007/s10546-018-0415-x

Cited by 8 publications

(4 citation statements)

References 36 publications

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“…This will have a fundamental influence on the wake development and the performance of wind parks. The extension of the EARSM to non-neutral conditions has over recent years been developed by Lazeroms et al (2013), andŽeli et al (2019) have subsequently demonstrated the model's capability of capturing these effects. This will be of interest for future wind turbine wake studies.…”

Section: Discussionmentioning

confidence: 99%

Wind turbine wake simulation with explicit algebraic Reynolds stress modeling

et al. 2022

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Abstract. Reynolds-averaged Navier–Stokes (RANS) simulations of wind turbine wakes are usually conducted with two-equation turbulence models based on the Boussinesq hypothesis; these are simple and robust but lack the capability of predicting various turbulence phenomena. Using the explicit algebraic Reynolds stress model (EARSM) of Wallin and Johansson (2000) can alleviate some of these deficiencies while still being numerically robust and only slightly more computationally expensive than the traditional two-equation models. The model implementation is verified with the homogeneous shear flow, half-channel flow, and square duct flow cases, and subsequently full three-dimensional wake simulations are run and analyzed. The results are compared with reference large-eddy simulation (LES) data, which show that the EARSM especially improves the prediction of turbulence anisotropy and turbulence intensity but that it also predicts less Gaussian wake profile shapes.

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Section: Discussionmentioning

confidence: 99%

Wind turbine wake simulation with explicit algebraic Reynolds stress modeling

et al. 2022

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“…A rough wall model relates the surface flux to the aerodynamic roughness length, giving the well-known logarithmic law of the wall that is strictly valid only for the neutrally stratified atmospheric boundary layer and vanishing pressure gradient [16]. However, close to the surface, buoyancy effects are usually negligible, and turbulence is predominately produced by shear effects [16]. Thus, the rough wall function for a neutrally stratified environment was also applied to the SBL case.…”

Section: Cfd Equations and Numerical Methodsmentioning

confidence: 99%

“…Thus, the rough wall function for a neutrally stratified environment was also applied to the SBL case. Above this lower part of the logarithmic layer, turbulence can be strongly affected by buoyancy forces, and, in this case, corrections to the logarithmic law are introduced through MOST [16], as described below.…”

Section: Cfd Equations and Numerical Methodsmentioning

confidence: 99%

Investigating Neutral and Stable Atmospheric Surface Layers Using Computational Fluid Dynamics

Gemmell

2022

Atmosphere

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Computational fluid dynamics (CFD) is an effective technique for investigating atmospheric processes at a local scale. For example, in near-source atmospheric dispersion applications, the effects of meteorology, air-pollutant sources, and buildings can be included. A prerequisite is to establish realistic atmospheric conditions throughout the computational domain. This work investigates the modeling of the atmospheric surface layer under neutral and stable boundary-layer conditions, respectively. Steady-state numerical solutions of the Reynolds averaged Navier–Stokes equations were used, including the k-ε turbulence model. Atmospheric profiles derived from the Cooperative Atmosphere–Surface Exchange Study-99 (Kansas, USA) were used as reference data. The results indicate that the observed profiles of velocity and potential temperature can be reproduced with CFD, while turbulent kinetic energy showed less agreement with the observations. For the stable boundary layer, reasonable agreement of the numerical results with the observations was also obtained for surface layer depth, shear stress, and heat-flux profiles, respectively. The results are discussed in relation to the boundary conditions and sources, and the observation data.

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“…RANS turbulence for both CBL and SBL is on the other hand completely isotropic in the freestream, which as earlier discussed is expected from Boussinesqtype RANS turbulence models. More sophisticated RANS turbulence models such as explicit algebraic Reynolds stress models [22,23] and uncertainty-quantification models [24][25][26] can predict anisotropic freestream turbulence, but are also more complex to implement compared to standard two-equation models.…”

Section: Reynolds Stresses and Anisotropymentioning

confidence: 99%

A numerical investigation of a wind turbine wake in non-neutral atmospheric conditions

Baungaard

Abkar

Laan

et al. 2022

J. Phys.: Conf. Ser.

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Wind turbine wakes cause energy losses and increased blade fatigue loads in wind farms. The magnitude of these effects depend strongly on the atmospheric conditions. In nonneutral atmospheric conditions, there is a turbulence kinetic energy (TKE) contribution from buoyancy, either positive (convective boundary layer, CBL) or negative (stable boundary layer, SBL). In this work, both conditions are analyzed with new large-eddy simulation (LES) data of a single wind turbine wake in flat, homogeneous terrain to quantify the effects of buoyancy. It is found that the buoyancy contribution is negligible compared to the shear production in the wake region and the role of buoyancy is therefore mainly to alter the inflow profiles. This fact is used in a simple Reynolds-averaged Navier-Stokes (RANS) turbulence model, which shows reasonable results for wake velocity deficit compared to LES data.

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Consistent Boundary-Condition Treatment for Computation of the Atmospheric Boundary Layer Using the Explicit Algebraic Reynolds-Stress Model

Cited by 8 publications

References 36 publications

Wind turbine wake simulation with explicit algebraic Reynolds stress modeling

Wind turbine wake simulation with explicit algebraic Reynolds stress modeling

Investigating Neutral and Stable Atmospheric Surface Layers Using Computational Fluid Dynamics

A numerical investigation of a wind turbine wake in non-neutral atmospheric conditions

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