Articles | Volume 1, issue 1
https://doi.org/10.5194/wes-1-41-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/wes-1-41-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Apr 2016
Research article |
| 11 Apr 2016
Full-field assessment of wind turbine near-wake deviation in relation to yaw misalignment
Juan José Trujillo
CORRESPONDING AUTHOR
ForWind – University of Oldenburg, Institute of Physics, Ammerländer-Heerstr. 136, 26129 Oldenburg, Germany
Janna Kristina Seifert
ForWind – University of Oldenburg, Institute of Physics, Ammerländer-Heerstr. 136, 26129 Oldenburg, Germany
Ines Würth
Stuttgart Wind Energy at University of Stuttgart, Institute of Aircraft Design, Allmandring 5B, 70569 Stuttgart, Germany
David Schlipf
Stuttgart Wind Energy at University of Stuttgart, Institute of Aircraft Design, Allmandring 5B, 70569 Stuttgart, Germany
Martin Kühn
ForWind – University of Oldenburg, Institute of Physics, Ammerländer-Heerstr. 136, 26129 Oldenburg, Germany
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Cited
23 citations as recorded by crossref.
- LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes L. Zhan et al. 10.1002/we.2430
- Error analysis of low-fidelity models for wake steering based on field measurements S. Letizia et al. 10.1088/1742-6596/2767/4/042029
- Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes M. Bromm et al. 10.1002/we.2210
- Three-dimensional structure of wind turbine wakes as measured by scanning lidar N. Bodini et al. 10.5194/amt-10-2881-2017
- Further Study on the Effects of Wind Turbine Yaw Operation for Aiding Active Wake Management J. Dai et al. 10.3390/app10061978
- Characterization of wind velocities in the wake of a full scale wind turbine using three ground-based synchronized WindScanners H. Yazicioglu et al. 10.1088/1742-6596/753/3/032032
- Orientation correction of wind direction measurements by means of staring lidar M. Schmidt et al. 10.1088/1742-6596/749/1/012005
- Wind turbine load validation using lidar‐based wind retrievals N. Dimitrov et al. 10.1002/we.2385
- Exploring the complexities associated with full-scale wind plant wake mitigation control experiments J. Duncan Jr. et al. 10.5194/wes-5-469-2020
- Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment B. Sengers et al. 10.5194/wes-8-747-2023
- Blockage and speedup in the proximity of an onshore wind farm: A scanning wind LiDAR experiment M. Puccioni et al. 10.1063/5.0157937
- Field test of wake steering at an offshore wind farm P. Fleming et al. 10.5194/wes-2-229-2017
- Effect investigation of yaw on wind turbine performance based on SCADA data J. Dai et al. 10.1016/j.energy.2018.02.059
- A Study of the Impact of Pitch Misalignment on Wind Turbine Performance D. Astolfi 10.3390/machines7010008
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework S. Letizia et al. 10.5194/amt-14-2065-2021
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 2: Applications to lidar measurements of wind turbine wakes S. Letizia et al. 10.5194/amt-14-2095-2021
- Characterization of wind turbine flow through nacelle-mounted lidars: a review S. Letizia et al. 10.3389/fmech.2023.1261017
- Turbulence characterization from a forward-looking nacelle lidar A. Peña et al. 10.5194/wes-2-133-2017
- Experimental and numerical investigations on the performance and wake characteristics of a tidal turbine under yaw Y. Qian et al. 10.1016/j.oceaneng.2023.116276
- Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. 10.5194/wes-3-257-2018
- The Yawing Behavior of Horizontal-Axis Wind Turbines: A Numerical and Experimental Analysis F. Castellani et al. 10.3390/machines7010015
- Blind test comparison of the performance and wake flow between two in-line wind turbines exposed to different turbulent inflow conditions J. Bartl & L. Sætran 10.5194/wes-2-55-2017
- Brief communication: On the influence of vertical wind shear on the combined power output of two model wind turbines in yaw J. Schottler et al. 10.5194/wes-2-439-2017
23 citations as recorded by crossref.
- LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes L. Zhan et al. 10.1002/we.2430
- Error analysis of low-fidelity models for wake steering based on field measurements S. Letizia et al. 10.1088/1742-6596/2767/4/042029
- Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes M. Bromm et al. 10.1002/we.2210
- Three-dimensional structure of wind turbine wakes as measured by scanning lidar N. Bodini et al. 10.5194/amt-10-2881-2017
- Further Study on the Effects of Wind Turbine Yaw Operation for Aiding Active Wake Management J. Dai et al. 10.3390/app10061978
- Characterization of wind velocities in the wake of a full scale wind turbine using three ground-based synchronized WindScanners H. Yazicioglu et al. 10.1088/1742-6596/753/3/032032
- Orientation correction of wind direction measurements by means of staring lidar M. Schmidt et al. 10.1088/1742-6596/749/1/012005
- Wind turbine load validation using lidar‐based wind retrievals N. Dimitrov et al. 10.1002/we.2385
- Exploring the complexities associated with full-scale wind plant wake mitigation control experiments J. Duncan Jr. et al. 10.5194/wes-5-469-2020
- Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment B. Sengers et al. 10.5194/wes-8-747-2023
- Blockage and speedup in the proximity of an onshore wind farm: A scanning wind LiDAR experiment M. Puccioni et al. 10.1063/5.0157937
- Field test of wake steering at an offshore wind farm P. Fleming et al. 10.5194/wes-2-229-2017
- Effect investigation of yaw on wind turbine performance based on SCADA data J. Dai et al. 10.1016/j.energy.2018.02.059
- A Study of the Impact of Pitch Misalignment on Wind Turbine Performance D. Astolfi 10.3390/machines7010008
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework S. Letizia et al. 10.5194/amt-14-2065-2021
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 2: Applications to lidar measurements of wind turbine wakes S. Letizia et al. 10.5194/amt-14-2095-2021
- Characterization of wind turbine flow through nacelle-mounted lidars: a review S. Letizia et al. 10.3389/fmech.2023.1261017
- Turbulence characterization from a forward-looking nacelle lidar A. Peña et al. 10.5194/wes-2-133-2017
- Experimental and numerical investigations on the performance and wake characteristics of a tidal turbine under yaw Y. Qian et al. 10.1016/j.oceaneng.2023.116276
- Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. 10.5194/wes-3-257-2018
- The Yawing Behavior of Horizontal-Axis Wind Turbines: A Numerical and Experimental Analysis F. Castellani et al. 10.3390/machines7010015
- Blind test comparison of the performance and wake flow between two in-line wind turbines exposed to different turbulent inflow conditions J. Bartl & L. Sætran 10.5194/wes-2-55-2017
- Brief communication: On the influence of vertical wind shear on the combined power output of two model wind turbines in yaw J. Schottler et al. 10.5194/wes-2-439-2017
Saved (preprint)
Latest update: 10 Dec 2024
Short summary
We present the analysis of the trajectories followed by the wind, in the immediate vicinity, behind an offshore wind turbine and their dependence on its yaw misalignment. We apply wake tracking on wind fields measured with a lidar (light detection and ranging) system located at the nacelle of the wind turbine and pointing downstream. The analysis reveals discrepancies of the estimated mean wake paths against theoretical and wind tunnel experiments using different wake-tracking techniques.
We present the analysis of the trajectories followed by the wind, in the immediate vicinity,...
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