An improved second-order dynamic  stall model for wind turbine airfoils

Bangga, Galih; Lutz, Thorsten; Arnold, Matthias

doi:10.5194/wes-5-1037-2020

Cited by 20 publications

(35 citation statements)

References 21 publications

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“…Examples are the Boeing-Vertol Gamma function method by Gross and Harris (1969) and Gormont (1973), the ONERA method (Tran and Petot 1981), and the Leishman-Beddoes method (Leishman and Beddoes 1989). While these are first-order models, there are also several second order models such as the Snel model (Snel 1997), Hopf-Biffurcation model (Truong 1993), IAG model (Bangga et al 2020b), and Adema-Snel model (Adema et al 2020). Although there are many more studies available in literature that are dedicated to dynamic stall modeling, industry is still relying mostly on the very basic classical dynamic stall models such as the Leishman-Beddoes model or the Snel models.…”

Section: Modeling Dynamic Stallmentioning

confidence: 99%

“…Although there are many more studies available in literature that are dedicated to dynamic stall modeling, industry is still relying mostly on the very basic classical dynamic stall models such as the Leishman-Beddoes model or the Snel models. This is mainly because of the simplicity to tune these models for different airfoils and various flow conditions (Bangga et al 2020b).…”

Section: Modeling Dynamic Stallmentioning

confidence: 99%

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Vertical-Axis Wind Turbine Aerodynamics

Tavernier

Ferreira

Goude

2021

Handbook of Wind Energy Aerodynamics

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This chapter highlights the main aerodynamic phenomena and challenges of vertical-axis wind turbines. First, an introduction is provided on the VAWT history and (dis-)advantages. The basics of VAWT aerodynamics and the various rotor simplifications/representations are presented. Further, the state-of-the art aerodynamic modeling techniques, specifically for VAWTs, are discussed. Since VAWTs are inherently unsteady, the main unsteady phenomena that play a crucial role in VAWT aerodynamics are summarized. Finally, wake aerodynamics and the importance of airfoil design for VAWTs are highlighted.

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Section: Modeling Dynamic Stallmentioning

confidence: 99%

Section: Modeling Dynamic Stallmentioning

confidence: 99%

Vertical-Axis Wind Turbine Aerodynamics

Tavernier

Ferreira

Goude

2021

Handbook of Wind Energy Aerodynamics

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“…These models can produce reasonable results while still maintaining low computational burden. The models from Beddoes and Leishman (BL) and its derivatives [11][12][13][14][15][16][17][18][19][20] are considered to be the industry standard for wind turbine design process. The models are commonly derived by combining a time delay of the angle of attack with an approximate solution of flow separation during the dynamic conditions.…”

Section: Introductionmentioning

confidence: 99%

“…This model was further extended in [25]. Bangga et al [13] combined the state-of-the-art BL model and the second order term of the Snel model to predict the unsteady characteristics of wind turbine airfoils, hereby referred to as the "IAG dynamic stall model". Several improvements were made to enhance the accuracy of the first order and the second order terms [13].…”

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

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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.

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“…It models the dynamic stall effect with a set of differential equations that, divided into modules, describe different flow states, such as unsteady attached flow, unsteady separated flow and dynamic stall. Recently, there have been attempts to further improve this model by also predicting second-order lift and drag forces (Bangga et al, 2020). Common to all of these models is that there is a set of static parameters that are tuned so that the predicted results fit the phase-averaged experimental data as well as possible.…”

Section: Introductionmentioning

confidence: 99%

A WaveNet-based fully stochastic dynamic stall model

Küppers¹,

Reinicke²

2022

Wind Energ. Sci.

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Abstract. Accurate modeling of the dynamic stall remains a challenge for the design and construction of turbine blades and helicopter rotors. At the same time, wind turbines, for instance, are becoming steadily larger, further increasing the demands on their structure and necessitating even more detailed modeling of the forces at hand. The primarily used (semi-)empirical models today have a long research history and are invariably based on phase-averaged data from oscillating blade pitch experiments. However, much potential for more accurate modeling of uncertainties and force peaks is wasted here, since averaging blurs many features of the response signals. Even computational fluid dynamics can help little in this regard, since the Reynolds-averaged Navier–Stokes equations used in practice cannot account for cycle variations, and scale-resolving models require extremely large amounts of computational resources. This paper presents an approach for a fully stochastic machine learning model that can nevertheless simulate these critical properties. Aerodynamic coefficients are compared with experimental data for different test cases. It is shown that synthetic force profiles which cannot be distinguished from the experimental data visually and are very close to them in the frequency spectrum can be generated. Additionally, attention is drawn to the difficulty of evaluating such a model, as traditional error metrics are of little use. A combination of dynamic time warping and the Earth mover's distance provides a robust solution for this problem.

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An improved second-order dynamic stall model for wind turbine airfoils

Cited by 20 publications

References 21 publications

Vertical-Axis Wind Turbine Aerodynamics

Vertical-Axis Wind Turbine Aerodynamics

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

A WaveNet-based fully stochastic dynamic stall model

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