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.
Research article
| 
20 Aug 2020
Research article |
| 20 Aug 2020
| 20 Aug 2020
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
25 citations as recorded by crossref.
- Development and Comparative Analysis of Vortex Generators for Boundary Layer and Separation Control on the Suction Side of Wind Turbine Blades A. Chukalin et al. https://doi.org/10.3390/en19071637
- Unsteady Aerodynamic Errors in BEM Predictions Under Yawed Flow: CFD-Based Insights into Flow Structures for the NREL Phase VI Rotor J. Hu et al. https://doi.org/10.3390/en18185027
- 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. https://doi.org/10.3390/wind2040034
- Airfoil Performance of Small-Scale Vertical Axis Wind Turbines Under Urban Low Wind Speeds Using DMST and LLFVW Models R. Bernal-Orozco et al. https://doi.org/10.3390/en19040945
- Performance Enhancement of Darrieus Vawt Using Modified Asymmetric Blades: Experimental and CFD Validation Z. Seydulla et al. https://doi.org/10.3390/en19030743
- Impacts of dynamic stall on engineering model predictions of wind turbines loads under design load cases G. Bangga & J. Yu https://doi.org/10.1088/1742-6596/2767/2/022007
- Development and Validation of the IAG Dynamic Stall Model in State-Space Representation for Wind Turbine Airfoils G. Bangga et al. https://doi.org/10.3390/en16103994
- The Beddoes-Leishman dynamic stall model: Critical aspects in implementation and calibration P. Melani et al. https://doi.org/10.1016/j.rser.2024.114677
- A WaveNet-based fully stochastic dynamic stall model J. Küppers & T. Reinicke https://doi.org/10.5194/wes-7-1889-2022
- Technical modeling challenges for large idling wind turbines G. Bangga et al. https://doi.org/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. https://doi.org/10.1088/1742-6596/2767/5/052053
- Data Reduction and Reconstruction of Wind Turbine Wake Employing Data Driven Approaches M. Geibel & G. Bangga https://doi.org/10.3390/en15103773
- Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data G. Bangga & T. Lutz https://doi.org/10.1016/j.energy.2021.120076
- Predicting airfoil dynamic stall loads using neural networks E. Camacho et al. https://doi.org/10.1016/j.ast.2025.110466
- Sensitivity of Dynamic Stall Models to Dynamic Excitation on Large Flexible Wind Turbine Blades in Edgewise Vibrations G. Bangga https://doi.org/10.3390/en18030470
- Numerical Study of the Effect of Unsteady Aerodynamic Forces on the Fatigue Load of Yawed Wind Turbines D. Hirgeto et al. https://doi.org/10.3390/machines13070607
- Dynamic stall modeling of a wind turbine airfoil at various stall-induced vibration zones G. Bangga et al. https://doi.org/10.3389/fenrg.2026.1761590
- Wind-Assisted Ship Propulsion of a Series 60 Ship Using a Static Kite Sail W. Formosa et al. https://doi.org/10.3390/jmse11010117
- Enhancing the Goman–Khrabrov dynamic stall model through flow delay analysis B. Zheng et al. https://doi.org/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. https://doi.org/10.61435/ijred.2024.60036
- A review of the aerodynamics of airborne wind energy systems I. Castro-Fernández et al. https://doi.org/10.1016/j.paerosci.2025.101157
- Enhancing comfort and efficiency in high-speed marine craft through active hydrofoil technology: A numerical comparison between foiling and planing hulls F. Balestrieri et al. https://doi.org/10.1016/j.oceaneng.2026.125968
- Unsteady Aerodynamics of Delta Kites for Airborne Wind Energy Under Dynamic Stall Conditions I. Castro‐Fernández et al. https://doi.org/10.1002/we.2932
- Influence of a spanwise flow component on dynamic stall G. Pirrung et al. https://doi.org/10.1088/1742-6596/3224/4/042020
- Characterization of dynamic stall of a wind turbine airfoil with a high Reynolds number H. Kim et al. https://doi.org/10.5194/wes-10-161-2025
25 citations as recorded by crossref.
- Development and Comparative Analysis of Vortex Generators for Boundary Layer and Separation Control on the Suction Side of Wind Turbine Blades A. Chukalin et al. https://doi.org/10.3390/en19071637
- Unsteady Aerodynamic Errors in BEM Predictions Under Yawed Flow: CFD-Based Insights into Flow Structures for the NREL Phase VI Rotor J. Hu et al. https://doi.org/10.3390/en18185027
- 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. https://doi.org/10.3390/wind2040034
- Airfoil Performance of Small-Scale Vertical Axis Wind Turbines Under Urban Low Wind Speeds Using DMST and LLFVW Models R. Bernal-Orozco et al. https://doi.org/10.3390/en19040945
- Performance Enhancement of Darrieus Vawt Using Modified Asymmetric Blades: Experimental and CFD Validation Z. Seydulla et al. https://doi.org/10.3390/en19030743
- Impacts of dynamic stall on engineering model predictions of wind turbines loads under design load cases G. Bangga & J. Yu https://doi.org/10.1088/1742-6596/2767/2/022007
- Development and Validation of the IAG Dynamic Stall Model in State-Space Representation for Wind Turbine Airfoils G. Bangga et al. https://doi.org/10.3390/en16103994
- The Beddoes-Leishman dynamic stall model: Critical aspects in implementation and calibration P. Melani et al. https://doi.org/10.1016/j.rser.2024.114677
- A WaveNet-based fully stochastic dynamic stall model J. Küppers & T. Reinicke https://doi.org/10.5194/wes-7-1889-2022
- Technical modeling challenges for large idling wind turbines G. Bangga et al. https://doi.org/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. https://doi.org/10.1088/1742-6596/2767/5/052053
- Data Reduction and Reconstruction of Wind Turbine Wake Employing Data Driven Approaches M. Geibel & G. Bangga https://doi.org/10.3390/en15103773
- Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data G. Bangga & T. Lutz https://doi.org/10.1016/j.energy.2021.120076
- Predicting airfoil dynamic stall loads using neural networks E. Camacho et al. https://doi.org/10.1016/j.ast.2025.110466
- Sensitivity of Dynamic Stall Models to Dynamic Excitation on Large Flexible Wind Turbine Blades in Edgewise Vibrations G. Bangga https://doi.org/10.3390/en18030470
- Numerical Study of the Effect of Unsteady Aerodynamic Forces on the Fatigue Load of Yawed Wind Turbines D. Hirgeto et al. https://doi.org/10.3390/machines13070607
- Dynamic stall modeling of a wind turbine airfoil at various stall-induced vibration zones G. Bangga et al. https://doi.org/10.3389/fenrg.2026.1761590
- Wind-Assisted Ship Propulsion of a Series 60 Ship Using a Static Kite Sail W. Formosa et al. https://doi.org/10.3390/jmse11010117
- Enhancing the Goman–Khrabrov dynamic stall model through flow delay analysis B. Zheng et al. https://doi.org/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. https://doi.org/10.61435/ijred.2024.60036
- A review of the aerodynamics of airborne wind energy systems I. Castro-Fernández et al. https://doi.org/10.1016/j.paerosci.2025.101157
- Enhancing comfort and efficiency in high-speed marine craft through active hydrofoil technology: A numerical comparison between foiling and planing hulls F. Balestrieri et al. https://doi.org/10.1016/j.oceaneng.2026.125968
- Unsteady Aerodynamics of Delta Kites for Airborne Wind Energy Under Dynamic Stall Conditions I. Castro‐Fernández et al. https://doi.org/10.1002/we.2932
- Influence of a spanwise flow component on dynamic stall G. Pirrung et al. https://doi.org/10.1088/1742-6596/3224/4/042020
- Characterization of dynamic stall of a wind turbine airfoil with a high Reynolds number H. Kim et al. https://doi.org/10.5194/wes-10-161-2025
Saved (final revised paper)
Latest update: 13 Jun 2026
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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