Articles | Volume 6, issue 6
https://doi.org/10.5194/wes-6-1491-2021
© Author(s) 2021. 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-6-1491-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
On turbulence models and lidar measurements for wind turbine control
Department of Wind Energy, Technical University of Denmark (DTU), Frederiksborgvej 399, 4000, Roskilde, Denmark
Wai Hou Lio
Department of Wind Energy, Technical University of Denmark (DTU), Frederiksborgvej 399, 4000, Roskilde, Denmark
Eric Simley
National Renewable Energy Laboratory (NREL), 15013 Denver West Parkway, Golden, Colorado 80401, USA
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Cited
15 citations as recorded by crossref.
- Operational Wind Turbine Blade Damage Evaluation Based on 10-min SCADA and 1 Hz Data A. Chrétien et al. 10.3390/en16073156
- Evaluation of lidar-assisted wind turbine control under various turbulence characteristics F. Guo et al. 10.5194/wes-8-149-2023
- Control-oriented modelling of wind direction variability S. Dallas et al. 10.5194/wes-9-841-2024
- Analysis and comparison of turbulence models on wind turbine performance using SCADA data and machine learning technique J. Liu et al. 10.1080/23311916.2023.2167345
- Feedback-Optimizing Heuristic Model Predictive Control Applied to a Wind Turbine for Suppressing the Tower Vibrations A. Sharifi & J. Asghari 10.1142/S0219455423501857
- Dependence of turbulence estimations on nacelle lidar scanning strategies W. Fu et al. 10.5194/wes-8-677-2023
- A review on power control of wind turbines with the perspective of dynamic load mitigation J. Wang et al. 10.1016/j.oceaneng.2024.118806
- Analysis and evaluation of two reference LiDAR-assisted control designs for wind turbines C. Steinmann Perez et al. 10.1088/1742-6596/2767/3/032048
- The effect of turbulent coherent structures in atmospheric flow on wind turbine loads N. Dangi et al. 10.1016/j.renene.2024.122248
- A short-term wind speed prediction method based on the IDBO-BPNN L. Wang et al. 10.1088/2631-8695/ad7199
- Review of Wind Flow Modelling in Urban Environments to Support the Development of Urban Air Mobility D. Nithya et al. 10.3390/drones8040147
- Risk-averse design of tall buildings for uncertain wind conditions A. Kodakkal et al. 10.1016/j.cma.2022.115371
- Real‐time rotor effective wind speed estimation based on actuator disc theory: Design and full‐scale experimental validation A. Lio et al. 10.1002/we.2858
- CFD Numerical Simulation of Wind Field and Vehicle Aerodynamic Characteristics on Truss Bridge Deck under Crosswind M. Zhang et al. 10.1007/s12205-022-1768-8
- Performance similarities between standard and retrofit LiDAR-assisted control for wind turbines A. Lio et al. 10.1088/1742-6596/2767/3/032046
15 citations as recorded by crossref.
- Operational Wind Turbine Blade Damage Evaluation Based on 10-min SCADA and 1 Hz Data A. Chrétien et al. 10.3390/en16073156
- Evaluation of lidar-assisted wind turbine control under various turbulence characteristics F. Guo et al. 10.5194/wes-8-149-2023
- Control-oriented modelling of wind direction variability S. Dallas et al. 10.5194/wes-9-841-2024
- Analysis and comparison of turbulence models on wind turbine performance using SCADA data and machine learning technique J. Liu et al. 10.1080/23311916.2023.2167345
- Feedback-Optimizing Heuristic Model Predictive Control Applied to a Wind Turbine for Suppressing the Tower Vibrations A. Sharifi & J. Asghari 10.1142/S0219455423501857
- Dependence of turbulence estimations on nacelle lidar scanning strategies W. Fu et al. 10.5194/wes-8-677-2023
- A review on power control of wind turbines with the perspective of dynamic load mitigation J. Wang et al. 10.1016/j.oceaneng.2024.118806
- Analysis and evaluation of two reference LiDAR-assisted control designs for wind turbines C. Steinmann Perez et al. 10.1088/1742-6596/2767/3/032048
- The effect of turbulent coherent structures in atmospheric flow on wind turbine loads N. Dangi et al. 10.1016/j.renene.2024.122248
- A short-term wind speed prediction method based on the IDBO-BPNN L. Wang et al. 10.1088/2631-8695/ad7199
- Review of Wind Flow Modelling in Urban Environments to Support the Development of Urban Air Mobility D. Nithya et al. 10.3390/drones8040147
- Risk-averse design of tall buildings for uncertain wind conditions A. Kodakkal et al. 10.1016/j.cma.2022.115371
- Real‐time rotor effective wind speed estimation based on actuator disc theory: Design and full‐scale experimental validation A. Lio et al. 10.1002/we.2858
- CFD Numerical Simulation of Wind Field and Vehicle Aerodynamic Characteristics on Truss Bridge Deck under Crosswind M. Zhang et al. 10.1007/s12205-022-1768-8
- Performance similarities between standard and retrofit LiDAR-assisted control for wind turbines A. Lio et al. 10.1088/1742-6596/2767/3/032046
Latest update: 06 Feb 2025
Short summary
This paper suggests that the impacts of different turbulence models should be considered as uncertainties while evaluating the benefits of lidar-assisted control (LAC) in wind turbine design. The value creation of LAC, evaluated using the Kaimal turbulence model, will be diminished if the Mann turbulence model is used instead. In particular, the difference in coherence is more significant for larger rotors.
This paper suggests that the impacts of different turbulence models should be considered as...
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