Articles | Volume 4, issue 1
https://doi.org/10.5194/wes-4-71-2019
© Author(s) 2019. 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-4-71-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jan 2019
Research article |
| 29 Jan 2019
| 29 Jan 2019
Wake behavior and control: comparison of LES simulations and wind tunnel measurements
Jiangang Wang
Wind Energy Institute, Technische Universität München, Garching
bei München, Germany
Chengyu Wang
Wind Energy Institute, Technische Universität München, Garching
bei München, Germany
Filippo Campagnolo
Wind Energy Institute, Technische Universität München, Garching
bei München, Germany
Wind Energy Institute, Technische Universität München, Garching
bei München, Germany
Viewed
Total article views: 8,473 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Jun 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 6,125 | 2,205 | 143 | 8,473 | 179 | 185 |
- HTML: 6,125
- PDF: 2,205
- XML: 143
- Total: 8,473
- BibTeX: 179
- EndNote: 185
Total article views: 7,216 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jan 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 5,686 | 1,401 | 129 | 7,216 | 166 | 170 |
- HTML: 5,686
- PDF: 1,401
- XML: 129
- Total: 7,216
- BibTeX: 166
- EndNote: 170
Total article views: 1,257 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Jun 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 439 | 804 | 14 | 1,257 | 13 | 15 |
- HTML: 439
- PDF: 804
- XML: 14
- Total: 1,257
- BibTeX: 13
- EndNote: 15
Viewed (geographical distribution)
Total article views: 8,473 (including HTML, PDF, and XML)
Thereof 6,862 with geography defined
and 1,611 with unknown origin.
Total article views: 7,216 (including HTML, PDF, and XML)
Thereof 5,736 with geography defined
and 1,480 with unknown origin.
Total article views: 1,257 (including HTML, PDF, and XML)
Thereof 1,126 with geography defined
and 131 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
30 citations as recorded by crossref.
- Fast physics-based extension of a double-Gaussian wake model to capture non-symmetric wake shapes J. Krause et al. https://doi.org/10.1088/1742-6596/3224/3/032076
- Comparison of the dynamic wake meandering model against large eddy simulation for horizontal and vertical steering of wind turbine wakes I. Rivera-Arreba et al. https://doi.org/10.1016/j.renene.2023.119807
- Does the use of load-reducing IPC on a wake-steering turbine affect wake behavior? C. Wang et al. https://doi.org/10.1088/1742-6596/1618/2/022035
- Closed-loop coupling of a dynamic wake model with a wind inflow estimator J. Di Cave et al. https://doi.org/10.1088/1742-6596/2767/3/032034
- Wake characteristics of complex-shaped snow particles: Comparison of numerical simulations with fixed snowflakes to time-resolved particle tracking velocimetry experiments with free-falling analogs G. Tagliavini et al. https://doi.org/10.1063/5.0089759
- Wind farm flow control: prospects and challenges J. Meyers et al. https://doi.org/10.5194/wes-7-2271-2022
- A modified Frandsen model applicable for the near wake derived by validated AL-LES M. Alletto et al. https://doi.org/10.1088/1742-6596/3224/3/032009
- Validation of a Large-Eddy Simulation Approach for Prediction of the Ground Roughness Influence on Wind Turbine Wakes V. Stein & H. Kaltenbach https://doi.org/10.3390/en15072579
- How realistic are the wakes of scaled wind turbine models? C. Wang et al. https://doi.org/10.5194/wes-6-961-2021
- On the power and control of a misaligned rotor – beyond the cosine law S. Tamaro et al. https://doi.org/10.5194/wes-9-1547-2024
- Code-to-code-to-experiment validation of LES-ALM wind farm simulators C. Wang et al. https://doi.org/10.1088/1742-6596/1618/6/062041
- Design, steady performance and wake characterization of a scaled wind turbine with pitch, torque and yaw actuation E. Nanos et al. https://doi.org/10.5194/wes-7-1263-2022
- A robust active power control algorithm to maximize wind farm power tracking margins in waked conditions S. Tamaro et al. https://doi.org/10.5194/wes-10-2705-2025
- Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution E. Quon et al. https://doi.org/10.1088/1742-6596/1452/1/012070
- An analysis and enhanced proposal of atmospheric boundary layer wind modelling techniques for automation of air traffic management J. GONZALO et al. https://doi.org/10.1016/j.cja.2020.12.008
- Further improvements to the double-Gaussian wake model C. Zengler et al. https://doi.org/10.1088/1742-6596/2767/9/092066
- Large Eddy Simulation of an Onshore Wind Farm with the Actuator Line Model Including Wind Turbine’s Control below and above Rated Wind Speed A. Guggeri & M. Draper https://doi.org/10.3390/en12183508
- Vertical wake deflection for floating wind turbines by differential ballast control E. Nanos et al. https://doi.org/10.5194/wes-7-1641-2022
- Effects of dynamic induction control on power and loads, by LES-ALM simulations and wind tunnel experiments C. Wang et al. https://doi.org/10.1088/1742-6596/1618/2/022036
- A non-symmetric Gaussian wake model for lateral wake-to-wake interactions A. Vad et al. https://doi.org/10.1088/1742-6596/2505/1/012046
- Experimental and numerical investigation on the potential of wake mixing by dynamic yaw for wind farm power optimization F. Mühle et al. https://doi.org/10.1088/1742-6596/2767/9/092068
- Design and preliminary characterization of a scaled, two-bladed, downwind and teetering turbine H. Aktan et al. https://doi.org/10.1088/1742-6596/3224/5/052025
- Wind tunnel testing of wake steering with dynamic wind direction changes F. Campagnolo et al. https://doi.org/10.5194/wes-5-1273-2020
- Review of Turbine Parameterization Models for Large-Eddy Simulation of Wind Turbine Wakes Z. Li et al. https://doi.org/10.3390/en15186533
- Effects on the resolution of the near-wake by the use of different meshes using RANS and URANS M. Aa Madsen et al. https://doi.org/10.1088/1742-6596/2767/5/052047
- Identification of airfoil polars from uncertain experimental measurements C. Wang et al. https://doi.org/10.5194/wes-5-1537-2020
- Vertical wake deflection for offshore floating wind turbines by differential ballast control E. Nanos et al. https://doi.org/10.1088/1742-6596/1618/2/022047
- Wake mixing wind farm control with synchronized dynamic yaw for power optimization F. Mühle et al. https://doi.org/10.1088/1742-6596/3224/3/032113
- Towards the multi-scale Kalman filtering of dynamic wake models: observing turbulent fluctuations and wake meandering R. Braunbehrens et al. https://doi.org/10.1088/1742-6596/2505/1/012044
- Multi-fidelity actuator-line modelling of FOWT wakes A. Firpo et al. https://doi.org/10.1088/1742-6596/2767/5/052050
30 citations as recorded by crossref.
- Fast physics-based extension of a double-Gaussian wake model to capture non-symmetric wake shapes J. Krause et al. https://doi.org/10.1088/1742-6596/3224/3/032076
- Comparison of the dynamic wake meandering model against large eddy simulation for horizontal and vertical steering of wind turbine wakes I. Rivera-Arreba et al. https://doi.org/10.1016/j.renene.2023.119807
- Does the use of load-reducing IPC on a wake-steering turbine affect wake behavior? C. Wang et al. https://doi.org/10.1088/1742-6596/1618/2/022035
- Closed-loop coupling of a dynamic wake model with a wind inflow estimator J. Di Cave et al. https://doi.org/10.1088/1742-6596/2767/3/032034
- Wake characteristics of complex-shaped snow particles: Comparison of numerical simulations with fixed snowflakes to time-resolved particle tracking velocimetry experiments with free-falling analogs G. Tagliavini et al. https://doi.org/10.1063/5.0089759
- Wind farm flow control: prospects and challenges J. Meyers et al. https://doi.org/10.5194/wes-7-2271-2022
- A modified Frandsen model applicable for the near wake derived by validated AL-LES M. Alletto et al. https://doi.org/10.1088/1742-6596/3224/3/032009
- Validation of a Large-Eddy Simulation Approach for Prediction of the Ground Roughness Influence on Wind Turbine Wakes V. Stein & H. Kaltenbach https://doi.org/10.3390/en15072579
- How realistic are the wakes of scaled wind turbine models? C. Wang et al. https://doi.org/10.5194/wes-6-961-2021
- On the power and control of a misaligned rotor – beyond the cosine law S. Tamaro et al. https://doi.org/10.5194/wes-9-1547-2024
- Code-to-code-to-experiment validation of LES-ALM wind farm simulators C. Wang et al. https://doi.org/10.1088/1742-6596/1618/6/062041
- Design, steady performance and wake characterization of a scaled wind turbine with pitch, torque and yaw actuation E. Nanos et al. https://doi.org/10.5194/wes-7-1263-2022
- A robust active power control algorithm to maximize wind farm power tracking margins in waked conditions S. Tamaro et al. https://doi.org/10.5194/wes-10-2705-2025
- Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution E. Quon et al. https://doi.org/10.1088/1742-6596/1452/1/012070
- An analysis and enhanced proposal of atmospheric boundary layer wind modelling techniques for automation of air traffic management J. GONZALO et al. https://doi.org/10.1016/j.cja.2020.12.008
- Further improvements to the double-Gaussian wake model C. Zengler et al. https://doi.org/10.1088/1742-6596/2767/9/092066
- Large Eddy Simulation of an Onshore Wind Farm with the Actuator Line Model Including Wind Turbine’s Control below and above Rated Wind Speed A. Guggeri & M. Draper https://doi.org/10.3390/en12183508
- Vertical wake deflection for floating wind turbines by differential ballast control E. Nanos et al. https://doi.org/10.5194/wes-7-1641-2022
- Effects of dynamic induction control on power and loads, by LES-ALM simulations and wind tunnel experiments C. Wang et al. https://doi.org/10.1088/1742-6596/1618/2/022036
- A non-symmetric Gaussian wake model for lateral wake-to-wake interactions A. Vad et al. https://doi.org/10.1088/1742-6596/2505/1/012046
- Experimental and numerical investigation on the potential of wake mixing by dynamic yaw for wind farm power optimization F. Mühle et al. https://doi.org/10.1088/1742-6596/2767/9/092068
- Design and preliminary characterization of a scaled, two-bladed, downwind and teetering turbine H. Aktan et al. https://doi.org/10.1088/1742-6596/3224/5/052025
- Wind tunnel testing of wake steering with dynamic wind direction changes F. Campagnolo et al. https://doi.org/10.5194/wes-5-1273-2020
- Review of Turbine Parameterization Models for Large-Eddy Simulation of Wind Turbine Wakes Z. Li et al. https://doi.org/10.3390/en15186533
- Effects on the resolution of the near-wake by the use of different meshes using RANS and URANS M. Aa Madsen et al. https://doi.org/10.1088/1742-6596/2767/5/052047
- Identification of airfoil polars from uncertain experimental measurements C. Wang et al. https://doi.org/10.5194/wes-5-1537-2020
- Vertical wake deflection for offshore floating wind turbines by differential ballast control E. Nanos et al. https://doi.org/10.1088/1742-6596/1618/2/022047
- Wake mixing wind farm control with synchronized dynamic yaw for power optimization F. Mühle et al. https://doi.org/10.1088/1742-6596/3224/3/032113
- Towards the multi-scale Kalman filtering of dynamic wake models: observing turbulent fluctuations and wake meandering R. Braunbehrens et al. https://doi.org/10.1088/1742-6596/2505/1/012044
- Multi-fidelity actuator-line modelling of FOWT wakes A. Firpo et al. https://doi.org/10.1088/1742-6596/2767/5/052050
Saved (final revised paper)
Latest update: 05 Sep 2026
Short summary
This paper describes an LES approach for the simulation of wind
turbines and their wakes. The simulation model is used to
develop a complete digital copy of experiments performed with
scaled wind turbines in a boundary layer wind tunnel, including the
passive generation of a sheared turbulent flow. Numerical results
are compared with experimental measurements, with a good overall
matching between the two.
This paper describes an LES approach for the simulation of wind
turbines and their wakes. The...
Altmetrics
Final-revised paper
Preprint