Investigation of the Unsteady Flow Behaviour on a Wind Turbine Using a BEM and a RANSE Method

Alesbe, Israa; Abdel‐Maksoud, Moustafa; Aljabair, Sattar

doi:10.1155/2016/6059741

Cited by 4 publications

(15 citation statements)

References 13 publications

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“…This is because the blades were disturbed at the suction side close to the tower, which caused the flow velocity to decelerate and eventually increased the pressure. Figure 14A shows that when comparing the simulation results with the data presented by Alesbe et al, 22 the value of

C_{p}

significantly differed in the range of 0.18 < x/c < 0.45. Compared with the SST k–ω turbulence model, the realizable k–ε turbulence model used herein slightly underestimated the surface pressure at a high angle of attack (

normalα

= 10

°

).…”

Section: Resultsmentioning

confidence: 76%

“…Due to their limited data, only the case of the wind turbine rotor was adopted for comparison. Although there are rare data showing the distribution of

C_{p}

around the wind turbine blade, the numerical data of Alesbe et al 22 at

U_{0}

= 11.4 m/s still can be used to compare with our simulation results. The results indicate that the peak values of

C_{p}

on the pressure and suction sides of the root generally appeared near the leading edge (where x/c approaches 0), while the values of

C_{p}

on both sides were the closest at the root of the blade where x/c = 0.3.…”

Section: Resultsmentioning

confidence: 96%

“…Figures 13–15 show the distribution of

C_{p}

on four blade sections when the inflow wind speeds

U_{0}

were 5, 11.4, and 25 m/s, respectively. Alesbe et al 22 employed a RANS solver ANSYS CFX 14.5 with SST k–ω turbulence model to investigate the unsteady flow behavior on a NREL 5‐MW offshore wind turbine rotor and a full wind turbine. Due to their limited data, only the case of the wind turbine rotor was adopted for comparison.…”

Section: Resultsmentioning

confidence: 99%

“…The variational multiscale (VMS) formula was then used to solve the incompressible Navier–Stokes equation with the turbulence model, and a torque consistent with that of the NREL was obtained. Further, comparing RANS and BEM revealed that, unlike BEM, RANS could capture the complex flow around the blade such as the boundary layer separation and blade‐tip vortices 22 . Siddiqui et al 23 used CFD to simulate the NREL offshore 5‐MW wind turbine with 2D, 2.5D, and 3D blades.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Prediction of aerodynamic performance of NREL offshore 5‐MW baseline wind turbine considering power loss at varying wind speeds

Lin

Chen

2023

Wind Energy

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In this study, a computational fluid dynamics (CFD) model was developed to simulate the aerodynamic performance of the National Renewable Energy Laboratory (NREL) offshore 5-MW baseline wind turbine with single rotor and full wind turbine. Using statistical methods, the relation between pitch angle and performance when the speed is above the rated wind speed was analyzed; furthermore, other published data were compiled to establish the functional equations of power, thrust with various inflow wind speeds, and pitch angles. In addition, according to shape optimization based on parametric modeling, the two-dimensional cross-section of the wind turbine blade can be defined through a metasurface approach, and the three-dimensional surface modeling of the wind turbine blade, nacelle, and tower is completed using the nonuniform rational B-splines (NURBS) interpolator. In terms of aerodynamic simulation, the unstructured polygon mesh was used herein to discretize the space and simulate the highly curved and twisted surfaces of the blade. In this study, the compact and accurate mesh form obtained through a grid independence test will be used to analyze the distribution of the pressure coefficient, shear stress coefficient, and limited streamline on the blade surface at various inflow wind speeds and pitch angles to understand the differences between different turbulence models and the causes of power and thrust attenuation at high inflow wind speeds. In addition, the phenomena of blade-tip vortices, dynamic stall, blade loading, and the interaction between nacelle and tower were collectively explored.

show abstract

C_{p}

normalα

= 10

°

).…”

Section: Resultsmentioning

confidence: 76%

“…Due to their limited data, only the case of the wind turbine rotor was adopted for comparison. Although there are rare data showing the distribution of

C_{p}

around the wind turbine blade, the numerical data of Alesbe et al 22 at

U_{0}

= 11.4 m/s still can be used to compare with our simulation results. The results indicate that the peak values of

C_{p}

on the pressure and suction sides of the root generally appeared near the leading edge (where x/c approaches 0), while the values of

C_{p}

on both sides were the closest at the root of the blade where x/c = 0.3.…”

Section: Resultsmentioning

confidence: 96%

“…Figures 13–15 show the distribution of

C_{p}

on four blade sections when the inflow wind speeds

U_{0}

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Prediction of aerodynamic performance of NREL offshore 5‐MW baseline wind turbine considering power loss at varying wind speeds

Lin

Chen

2023

Wind Energy

View full text Add to dashboard Cite

show abstract

“…The rotor was the first example. The rotor with the tower was the second case, which was solved using a panel method and a RANSE method [9]. In 2016, Samal, Ashis Kumar S et al presented a study on how deflection and stress were distributed in a long, thin cantilever bundle with a regular rectangular cross-section and linear and homogenous elastic material characteristics.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Offshore Wind Turbine Structure Deflection Using Experimental Work, Numerical, and Theoretical Approach

Ali¹,

Alwan²,

Alesbe³

et al. 2022

ETJ

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Validation of a Mid-fidelity Numerical Approach for Wind Turbine Aerodynamics Characterization

Savino,

Ferreri,

Zanotti

2024

Preprint

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This work is aimed at investigating the capabilities and limits of the mid-fidelity numerical solver DUST for the evaluation of wind turbines aerodynamic performance. In particular, this study was conducted by analysing the benchmarks NREL- 5MW and Phase VI wind turbines, widely investigated in literature by from experimental and numerical activities. The work started by simulating simpler configuration of the NREL- 5MW turbine to progressively integrate complexities such as shaft tilt, cone effects and yawed inflow conditions, offering a detailed portrayal of their collective impact on turbine performance. A particular focus was then given to the evaluation of aerodynamic responses from the tower and nacelle, as well as aerodynamic behavior in yawed inflow condition, crucial for optimizing farm layouts. In the second phase, the work was focused on NREL Phase VI turbine due to the availability of experimental data on this benchmark case. Comparison of DUST simulations results with both experimental data and high-fidelity CFD tools shows the robustness and adaptability of this mid-fidelity solver for this applications, thus opening a new scenario for the use of such mid-fidelity tools for the preliminary design of novel wind turbines configurations or complex environments as wind farms, characterised by robust interactional aerodynamics.

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Investigation of the Unsteady Flow Behaviour on a Wind Turbine Using a BEM and a RANSE Method

Cited by 4 publications

References 13 publications

Prediction of aerodynamic performance of NREL offshore 5‐MW baseline wind turbine considering power loss at varying wind speeds

Prediction of aerodynamic performance of NREL offshore 5‐MW baseline wind turbine considering power loss at varying wind speeds

Investigation of Offshore Wind Turbine Structure Deflection Using Experimental Work, Numerical, and Theoretical Approach

Validation of a Mid-fidelity Numerical Approach for Wind Turbine Aerodynamics Characterization

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