The Effects of Airfoil Thickness on Dynamic Stall Characteristics of High‐Solidity Vertical Axis Wind Turbines

Bangga, Galih; Hutani, Surya; Heramarwan, Henidya

doi:10.1002/adts.202000204

Cited by 25 publications

(11 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The stall for the thinnest airfoil (S801) is the strongest among the considered airfoils in Figure 9. This is in agreement with the studies carried out in [10]. The IAG model is able to predict the stall angle location in response to the airfoil thickness to some degree.…”

Section: Sensitivity To Airfoil Thicknesssupporting

confidence: 91%

“…Dynamic stall can occur when there is a strong variation of the inflow conditions due to environmental effects and turbine operation strategy, e.g., yaw misalignment, wind turbulence, shear & gusts, tower shadow and strong aeroelastic effects of the blade. Studies clearly highlighted [1][2][3][4][5][6][7][8][9][10] that the aerodynamic loads can be significantly different than the stationary conditions. The dynamic stall phenomenon is usually initiated by an increase of lift with increasing angle of attack (α) past the corresponding static stall angle.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development and Validation of the IAG Dynamic Stall Model in State-Space Representation for Wind Turbine Airfoils

Bangga¹,

Parkinson²,

Collier³

2023

Preprint

View full text Add to dashboard Cite

Considering the dynamic stall effects in engineering calculations is essential for correcting the aerodynamic loads acting on wind turbines, both during power production and stand-still cases, and impacts significantly the turbine aeroelastic stability. The employed dynamic stall model needs to be accurate and robust for a wide range of airfoils and range of angle of attack. The present studies are intended to demonstrate the performance of a recently implemented "IAG dynamic stall" model in a wind turbine design tool Bladed. The model is transformed from the indicial type of formulation into a state-space representation. The new model is validated against measurement data and other dynamic stall models in Bladed for various flow conditions and airfoils. It is demonstrated that the new model is able to reproduce the measured dynamic polar accurately without airfoil specific parameter calibration and has a superior performance compared to other models in Bladed.

show abstract

Section: Sensitivity To Airfoil Thicknesssupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Development and Validation of the IAG Dynamic Stall Model in State-Space Representation for Wind Turbine Airfoils

Bangga¹,

Parkinson²,

Collier³

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The FLOWer code was adopted as the main workforce for performing CFD simulations in the present studies. The code was originally developed by the German Aerospace Center (DLR) [35], but has undergone significant improvement in helicopter and wind turbine simulation capabilities in the last decade at the University of Stuttgart [36][37][38][39]. FLOWer is a compressible code and solves the three-dimensional Navier-Stokes equations in an integral form with several turbulence models available.…”

Section: Flowermentioning

confidence: 99%

Utilizing high fidelity data into engineering model calculations for accurate wind turbine performance and load assessments under design load cases

Bangga

Parkinson

Lutz

2022

IET Renewable Power Gen

Self Cite

View full text Add to dashboard Cite

Wind turbines often have lower performance and experience higher loading in real operation compared to the original design performance. The reasons stem from the influences of complex atmospheric turbulence, blade contamination, surface imperfection and airfoil‐shape changes. Engineering models used for designing wind turbines are limited to information derived from blade sectional datasets, while details on the three‐dimensional blade characteristics are not captured. In these studies, a dedicated strategy to improve the prediction accuracy of engineering model calculations will be presented. The main aim is to present an elaborated effort to obtain a better estimate of the turbine loads in realistic operating conditions. The present studies are carried out by carefully utilizing data from high fidelity Computational Fluid Dynamics (CFD) computations into Blade Element Momentum (BEM) and Vortexline methods. The results are in a good agreement with detailed field measurement data of a 2.3 MW turbine. The studies are further extended to a large turbine having a rated power of 10 MW to provide an overview of its suitability for large turbines. Finally, calculations of the wind turbine under a realistic IEC design load case are demonstrated. The studies highlight important considerations for engineering modeling using BEM and Vortexline methods.

show abstract

“…Due to the complexity of the fluctuating inflow, the error for the fluctuating inflow is slightly larger than that for the uniform inflow. addition, dynamic stall is a common phenomenon that appears mainly on rotating rotor blades, and it becomes one of the most limiting factors of the aerodynamic performance [32]. This phenomenon has a significant influence on the VAWT and could be investigated in future work.…”

Section: Mode Number Energy Distribution ( % )mentioning

confidence: 99%

Analysis of the Effects of Fluctuating Wind on the Aerodynamic Performance of a Vertical-Axis Wind Turbine with Variable Pitch

Zhang,

Yang,

Chen

et al. 2023

Energies

View full text Add to dashboard Cite

The wind turbine with a variable-pitch vertical axis is a novel type of small wind turbine with great development potential in the field of wind power generation. This study assessed the aerodynamic performance of a two-dimensional variable-pitch vertical-axis wind turbine (VAWT) under fluctuating wind conditions (sinusoidal-type fluctuations with an average velocity of 6 m/s) using the finite-volume method and the RNG k−ε turbulence model. The effects of the fluctuating inflow amplitude (Uamp), frequency (fc), and mean tip speed ratio (λmean) on the power coefficient of the wind turbine are analyzed. The results show that a maximum power coefficient of 0.33 is obtained when the inflow amplitude reaches 50% of the average velocity. The power coefficient initially increases and then decreases with the increase in the fluctuating inflow frequency, reaching a maximum value of 0.32 at fc=0.45 Hz. Furthermore, the power coefficient reaches its maximum value of 0.372 at λmean = 0.5. Proper orthogonal decomposition (POD) is used to decompose and reconstruct the flow field under both fluctuating and uniform inflow conditions. A comparison of the POD analysis between the two conditions shows that the energy distribution is more dispersed under the fluctuating inflow condition and reconstructing the flow field under fluctuating inflow conditions requires more POD modes than that under uniform inflow conditions.

show abstract

The Effects of Airfoil Thickness on Dynamic Stall Characteristics of High‐Solidity Vertical Axis Wind Turbines

Cited by 25 publications

References 38 publications

Development and Validation of the IAG Dynamic Stall Model in State-Space Representation for Wind Turbine Airfoils

Development and Validation of the IAG Dynamic Stall Model in State-Space Representation for Wind Turbine Airfoils

Utilizing high fidelity data into engineering model calculations for accurate wind turbine performance and load assessments under design load cases

Analysis of the Effects of Fluctuating Wind on the Aerodynamic Performance of a Vertical-Axis Wind Turbine with Variable Pitch

Contact Info

Product

Resources

About