Articles | Volume 5, issue 3
https://doi.org/10.5194/wes-5-1037-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-1037-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An improved second-order dynamic stall model for wind turbine airfoils
Institute of Aerodynamics and Gas Dynamics (IAG), University of
Stuttgart, 70569 Stuttgart, Germany
Thorsten Lutz
Institute of Aerodynamics and Gas Dynamics (IAG), University of
Stuttgart, 70569 Stuttgart, Germany
Matthias Arnold
Wobben Research and Development GmbH, 26607 Aurich, Germany
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Cited
16 citations as recorded by crossref.
- Technical modeling challenges for large idling wind turbines G. Bangga et al. 10.1088/1742-6596/2626/1/012026
- Accuracy assessment of Beddoes-Leishman and IAG dynamic stall models for wind turbine applications O. Mohamed et al. 10.1088/1742-6596/2767/5/052053
- Data Reduction and Reconstruction of Wind Turbine Wake Employing Data Driven Approaches M. Geibel & G. Bangga 10.3390/en15103773
- Novel Machine-Learning-Based Stall Delay Correction Model for Improving Blade Element Momentum Analysis in Wind Turbine Performance Prediction I. Syed Ahmed Kabir et al. 10.3390/wind2040034
- Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data G. Bangga & T. Lutz 10.1016/j.energy.2021.120076
- Sensitivity of Dynamic Stall Models to Dynamic Excitation on Large Flexible Wind Turbine Blades in Edgewise Vibrations G. Bangga 10.3390/en18030470
- Wind-Assisted Ship Propulsion of a Series 60 Ship Using a Static Kite Sail W. Formosa et al. 10.3390/jmse11010117
- Impacts of dynamic stall on engineering model predictions of wind turbines loads under design load cases G. Bangga & J. Yu 10.1088/1742-6596/2767/2/022007
- Enhancing the Goman–Khrabrov dynamic stall model through flow delay analysis B. Zheng et al. 10.1063/5.0249263
- Consideration of various configurations of SG6043-based rotor applied in small capacity horizontal axis wind turbine T. Dinh Van et al. 10.61435/ijred.2024.60036
- Development and Validation of the IAG Dynamic Stall Model in State-Space Representation for Wind Turbine Airfoils G. Bangga et al. 10.3390/en16103994
- The Beddoes-Leishman dynamic stall model: Critical aspects in implementation and calibration P. Melani et al. 10.1016/j.rser.2024.114677
- Unsteady Aerodynamics of Delta Kites for Airborne Wind Energy Under Dynamic Stall Conditions I. Castro‐Fernández et al. 10.1002/we.2932
- Characterization of dynamic stall of a wind turbine airfoil with a high Reynolds number H. Kim et al. 10.5194/wes-10-161-2025
- A WaveNet-based fully stochastic dynamic stall model J. Küppers & T. Reinicke 10.5194/wes-7-1889-2022
- Insights into airfoil response to sinusoidal gusty inflow by oscillating vanes Z. Wu et al. 10.1063/5.0023297
15 citations as recorded by crossref.
- Technical modeling challenges for large idling wind turbines G. Bangga et al. 10.1088/1742-6596/2626/1/012026
- Accuracy assessment of Beddoes-Leishman and IAG dynamic stall models for wind turbine applications O. Mohamed et al. 10.1088/1742-6596/2767/5/052053
- Data Reduction and Reconstruction of Wind Turbine Wake Employing Data Driven Approaches M. Geibel & G. Bangga 10.3390/en15103773
- Novel Machine-Learning-Based Stall Delay Correction Model for Improving Blade Element Momentum Analysis in Wind Turbine Performance Prediction I. Syed Ahmed Kabir et al. 10.3390/wind2040034
- Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data G. Bangga & T. Lutz 10.1016/j.energy.2021.120076
- Sensitivity of Dynamic Stall Models to Dynamic Excitation on Large Flexible Wind Turbine Blades in Edgewise Vibrations G. Bangga 10.3390/en18030470
- Wind-Assisted Ship Propulsion of a Series 60 Ship Using a Static Kite Sail W. Formosa et al. 10.3390/jmse11010117
- Impacts of dynamic stall on engineering model predictions of wind turbines loads under design load cases G. Bangga & J. Yu 10.1088/1742-6596/2767/2/022007
- Enhancing the Goman–Khrabrov dynamic stall model through flow delay analysis B. Zheng et al. 10.1063/5.0249263
- Consideration of various configurations of SG6043-based rotor applied in small capacity horizontal axis wind turbine T. Dinh Van et al. 10.61435/ijred.2024.60036
- Development and Validation of the IAG Dynamic Stall Model in State-Space Representation for Wind Turbine Airfoils G. Bangga et al. 10.3390/en16103994
- The Beddoes-Leishman dynamic stall model: Critical aspects in implementation and calibration P. Melani et al. 10.1016/j.rser.2024.114677
- Unsteady Aerodynamics of Delta Kites for Airborne Wind Energy Under Dynamic Stall Conditions I. Castro‐Fernández et al. 10.1002/we.2932
- Characterization of dynamic stall of a wind turbine airfoil with a high Reynolds number H. Kim et al. 10.5194/wes-10-161-2025
- A WaveNet-based fully stochastic dynamic stall model J. Küppers & T. Reinicke 10.5194/wes-7-1889-2022
1 citations as recorded by crossref.
Latest update: 22 Feb 2025
Short summary
Robust and accurate dynamic stall modeling remains one of the most difficult tasks in wind turbine load calculations despite its long research effort in the past. The present paper describes a new
second-order dynamic stall model for wind turbine airfoils. The new model is robust and improves the prediction for the aerodynamic forces and their higher-harmonic effects due to vortex shedding but also provides improved predictions for pitching moment and drag.
Robust and accurate dynamic stall modeling remains one of the most difficult tasks in wind...
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