Articles | Volume 7, issue 1
https://doi.org/10.5194/wes-7-323-2022
© Author(s) 2022. 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-7-323-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Validation of a coupled atmospheric–aeroelastic model system for wind turbine power and load calculations
Sonja Krüger
CORRESPONDING AUTHOR
ForWind, Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Gerald Steinfeld
ForWind, Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Martin Kraft
ForWind, Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Laura J. Lukassen
ForWind, Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
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Cited
15 citations as recorded by crossref.
- Multiscale Simulation of Offshore Wind Variability During Frontal Passage: Brief Implication on Turbines’ Wakes and Load M. Bakhoday-Paskyabi et al. https://doi.org/10.1088/1742-6596/2362/1/012003
- Investigation of blade flexibility effects on the loads and wake of a 15 MW wind turbine using a flexible actuator line method F. Trigaux et al. https://doi.org/10.5194/wes-9-1765-2024
- Large-eddy simulation of a 15 GW wind farm: Flow effects, energy budgets and comparison with wake models O. Maas https://doi.org/10.3389/fmech.2023.1108180
- A new coupling of a GPU‐resident large‐eddy simulation code with a multiphysics wind turbine simulation tool E. Taschner et al. https://doi.org/10.1002/we.2844
- An aeroelastic coupling of an actuator sector model with OpenFAST in atmospheric flows M. Mohammadi et al. https://doi.org/10.1088/1742-6596/2767/2/022037
- Overcoming Blade Interference: A Gappy-POD Data Reconstruction Method for Nacelle-Mounted Lidar Measurements A. Kidambi Sekar et al. https://doi.org/10.1088/1742-6596/2265/2/022078
- Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment B. Sengers et al. https://doi.org/10.5194/wes-8-747-2023
- Multirate time stepping for aeroelastic simulations of wind turbines using the actuator line model K. Ntrelia et al. https://doi.org/10.1016/j.compfluid.2025.106574
- Efficiently coupling LES to an aeroelastic turbine code enables study of complex atmospheric conditions S. Steinbrück et al. https://doi.org/10.1088/1742-6596/3224/2/022032
- Intermittency, an inevitable feature for faster convergence of large eddy simulations M. Bock et al. https://doi.org/10.1063/5.0202514
- Impact of the rotor blades elasticity on the loads and wake of the large IEA 15-MW wind turbine F. Trigaux et al. https://doi.org/10.1088/1742-6596/2505/1/012034
- Development of a control co-design optimization framework with aeroelastic-control coupling for floating offshore wind turbines X. Du et al. https://doi.org/10.1016/j.apenergy.2024.123728
- An actuator sector model for wind power applications: a parametric study M. Mohammadi et al. https://doi.org/10.5194/wes-9-1305-2024
- Lower Order Description and Reconstruction of Sparse Scanning Lidar Measurements of Wind Turbine Inflow Using Proper Orthogonal Decomposition A. Kidambi Sekar et al. https://doi.org/10.3390/rs14112681
- Synchronised WindScanner field measurements of the induction zone between two closely spaced wind turbines A. Kidambi Sekar et al. https://doi.org/10.5194/wes-9-1483-2024
15 citations as recorded by crossref.
- Multiscale Simulation of Offshore Wind Variability During Frontal Passage: Brief Implication on Turbines’ Wakes and Load M. Bakhoday-Paskyabi et al. https://doi.org/10.1088/1742-6596/2362/1/012003
- Investigation of blade flexibility effects on the loads and wake of a 15 MW wind turbine using a flexible actuator line method F. Trigaux et al. https://doi.org/10.5194/wes-9-1765-2024
- Large-eddy simulation of a 15 GW wind farm: Flow effects, energy budgets and comparison with wake models O. Maas https://doi.org/10.3389/fmech.2023.1108180
- A new coupling of a GPU‐resident large‐eddy simulation code with a multiphysics wind turbine simulation tool E. Taschner et al. https://doi.org/10.1002/we.2844
- An aeroelastic coupling of an actuator sector model with OpenFAST in atmospheric flows M. Mohammadi et al. https://doi.org/10.1088/1742-6596/2767/2/022037
- Overcoming Blade Interference: A Gappy-POD Data Reconstruction Method for Nacelle-Mounted Lidar Measurements A. Kidambi Sekar et al. https://doi.org/10.1088/1742-6596/2265/2/022078
- Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment B. Sengers et al. https://doi.org/10.5194/wes-8-747-2023
- Multirate time stepping for aeroelastic simulations of wind turbines using the actuator line model K. Ntrelia et al. https://doi.org/10.1016/j.compfluid.2025.106574
- Efficiently coupling LES to an aeroelastic turbine code enables study of complex atmospheric conditions S. Steinbrück et al. https://doi.org/10.1088/1742-6596/3224/2/022032
- Intermittency, an inevitable feature for faster convergence of large eddy simulations M. Bock et al. https://doi.org/10.1063/5.0202514
- Impact of the rotor blades elasticity on the loads and wake of the large IEA 15-MW wind turbine F. Trigaux et al. https://doi.org/10.1088/1742-6596/2505/1/012034
- Development of a control co-design optimization framework with aeroelastic-control coupling for floating offshore wind turbines X. Du et al. https://doi.org/10.1016/j.apenergy.2024.123728
- An actuator sector model for wind power applications: a parametric study M. Mohammadi et al. https://doi.org/10.5194/wes-9-1305-2024
- Lower Order Description and Reconstruction of Sparse Scanning Lidar Measurements of Wind Turbine Inflow Using Proper Orthogonal Decomposition A. Kidambi Sekar et al. https://doi.org/10.3390/rs14112681
- Synchronised WindScanner field measurements of the induction zone between two closely spaced wind turbines A. Kidambi Sekar et al. https://doi.org/10.5194/wes-9-1483-2024
Saved (final revised paper)
Latest update: 15 Sep 2026
Short summary
Detailed numerical simulations of turbines in atmospheric conditions are challenging with regard to their computational demand. We coupled an atmospheric flow model and a turbine model in order to deliver extensive details about the flow and the turbine response within reasonable computational time. A comparison to measurement data was performed and showed a very good agreement. The efficiency of the tool enables applications such as load calculation in wind farms or during low-level-jet events.
Detailed numerical simulations of turbines in atmospheric conditions are challenging with regard...
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