Articles | Volume 4, issue 3
https://doi.org/10.5194/wes-4-421-2019
© 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-4-421-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Aug 2019
Research article |
| 13 Aug 2019
| 13 Aug 2019
Lidar estimation of rotor-effective wind speed – an experimental comparison
Department of Wind Energy, Technical University of Denmark (DTU), Frederiksborgvej 399, 4000 Roskilde, Denmark
Windar Photonics A/S, Helgeshøj Alle 16–18, 2630 Taastrup, Denmark
Jakob Mann
Department of Wind Energy, Technical University of Denmark (DTU), Frederiksborgvej 399, 4000 Roskilde, Denmark
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Cited
26 citations as recorded by crossref.
- Impact of probe volume and peak detection methods on lidar rotor effective wind speed and turbulence intensity estimations F. Costa et al. 10.1088/1742-6596/2626/1/012020
- A Model for Low-Frequency, Anisotropic Wind Fluctuations and Coherences in the Marine Atmosphere A. Syed & J. Mann 10.1007/s10546-023-00850-w
- Turbulence statistics from three different nacelle lidars W. Fu et al. 10.5194/wes-7-831-2022
- Adaptive measuring trajectory for scanning lidars: proof of concept Y. Chen et al. 10.1088/1742-6596/2265/2/022099
- Rotor equivalent wind speed prediction based on mechanism analysis and residual correction using Lidar measurements D. Song et al. 10.1016/j.enconman.2023.117385
- Wind turbine load validation in wakes using wind field reconstruction techniques and nacelle lidar wind retrievals D. Conti et al. 10.5194/wes-6-841-2021
- Characterization of wind turbine flow through nacelle-mounted lidars: a review S. Letizia et al. 10.3389/fmech.2023.1261017
- LIDAR‐assisted feedforward individual pitch control of a 15 MW floating offshore wind turbine A. Russell et al. 10.1002/we.2891
- Assessing lidar-assisted feedforward and multivariable feedback controls for large floating wind turbines F. Guo & D. Schlipf 10.5194/wes-8-1299-2023
- On turbulence models and lidar measurements for wind turbine control L. Dong et al. 10.5194/wes-6-1491-2021
- The space-time structure of turbulence for lidar-assisted wind turbine control F. Guo et al. 10.1016/j.renene.2022.05.133
- Optimum gust detection by nacelle-based lidar: A study on the Vestas V52 Á. Hannesdóttir et al. 10.1088/1742-6596/2265/2/022072
- Wind turbine power prediction considering wake effects with dual laser beam LiDAR measured yaw misalignment X. Li et al. 10.1016/j.apenergy.2021.117308
- 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
- Evaluation of lidar-assisted wind turbine control under various turbulence characteristics F. Guo et al. 10.5194/wes-8-149-2023
- Multiple Model Adaptive Estimation of the Aerodynamic Torque for the Control of Variable Speed Wind Turbines D. Bourlis 10.1109/TEC.2021.3090101
- Lower Order Description and Reconstruction of Sparse Scanning Lidar Measurements of Wind Turbine Inflow Using Proper Orthogonal Decomposition A. Kidambi Sekar et al. 10.3390/rs14112681
- 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
- Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar F. Kelberlau & J. Mann 10.5194/wes-5-519-2020
- A Method for Yaw Error Alignment of Wind Turbine Based on LiDAR L. Zhang & Q. Yang 10.1109/ACCESS.2020.2969477
- Feedforward pitch control for a 15 MW wind turbine using a spinner-mounted single-beam lidar W. Fu et al. 10.5194/wes-8-1893-2023
- Investigating Suppression of Cloud Return with a Novel Optical Configuration of a Doppler Lidar L. Jin et al. 10.3390/rs14153576
- Beam swinging coherent Doppler wind lidar utilizing wavelength switching through a single telescope H. Tsuji et al. 10.1364/OL.523674
- Modeling Uncertainties of Wind Field Reconstruction Using Lidar D. Schlipf et al. 10.1088/1742-6596/1452/1/012088
- LES Study of Wake Meandering in Different Atmospheric Stabilities and Its Effects on Wind Turbine Aerodynamics X. Ning & D. Wan 10.3390/su11246939
- Four-dimensional wind field generation for the aeroelastic simulation of wind turbines with lidars Y. Chen et al. 10.5194/wes-7-539-2022
26 citations as recorded by crossref.
- Impact of probe volume and peak detection methods on lidar rotor effective wind speed and turbulence intensity estimations F. Costa et al. 10.1088/1742-6596/2626/1/012020
- A Model for Low-Frequency, Anisotropic Wind Fluctuations and Coherences in the Marine Atmosphere A. Syed & J. Mann 10.1007/s10546-023-00850-w
- Turbulence statistics from three different nacelle lidars W. Fu et al. 10.5194/wes-7-831-2022
- Adaptive measuring trajectory for scanning lidars: proof of concept Y. Chen et al. 10.1088/1742-6596/2265/2/022099
- Rotor equivalent wind speed prediction based on mechanism analysis and residual correction using Lidar measurements D. Song et al. 10.1016/j.enconman.2023.117385
- Wind turbine load validation in wakes using wind field reconstruction techniques and nacelle lidar wind retrievals D. Conti et al. 10.5194/wes-6-841-2021
- Characterization of wind turbine flow through nacelle-mounted lidars: a review S. Letizia et al. 10.3389/fmech.2023.1261017
- LIDAR‐assisted feedforward individual pitch control of a 15 MW floating offshore wind turbine A. Russell et al. 10.1002/we.2891
- Assessing lidar-assisted feedforward and multivariable feedback controls for large floating wind turbines F. Guo & D. Schlipf 10.5194/wes-8-1299-2023
- On turbulence models and lidar measurements for wind turbine control L. Dong et al. 10.5194/wes-6-1491-2021
- The space-time structure of turbulence for lidar-assisted wind turbine control F. Guo et al. 10.1016/j.renene.2022.05.133
- Optimum gust detection by nacelle-based lidar: A study on the Vestas V52 Á. Hannesdóttir et al. 10.1088/1742-6596/2265/2/022072
- Wind turbine power prediction considering wake effects with dual laser beam LiDAR measured yaw misalignment X. Li et al. 10.1016/j.apenergy.2021.117308
- 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
- Evaluation of lidar-assisted wind turbine control under various turbulence characteristics F. Guo et al. 10.5194/wes-8-149-2023
- Multiple Model Adaptive Estimation of the Aerodynamic Torque for the Control of Variable Speed Wind Turbines D. Bourlis 10.1109/TEC.2021.3090101
- Lower Order Description and Reconstruction of Sparse Scanning Lidar Measurements of Wind Turbine Inflow Using Proper Orthogonal Decomposition A. Kidambi Sekar et al. 10.3390/rs14112681
- 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
- Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar F. Kelberlau & J. Mann 10.5194/wes-5-519-2020
- A Method for Yaw Error Alignment of Wind Turbine Based on LiDAR L. Zhang & Q. Yang 10.1109/ACCESS.2020.2969477
- Feedforward pitch control for a 15 MW wind turbine using a spinner-mounted single-beam lidar W. Fu et al. 10.5194/wes-8-1893-2023
- Investigating Suppression of Cloud Return with a Novel Optical Configuration of a Doppler Lidar L. Jin et al. 10.3390/rs14153576
- Beam swinging coherent Doppler wind lidar utilizing wavelength switching through a single telescope H. Tsuji et al. 10.1364/OL.523674
- Modeling Uncertainties of Wind Field Reconstruction Using Lidar D. Schlipf et al. 10.1088/1742-6596/1452/1/012088
- LES Study of Wake Meandering in Different Atmospheric Stabilities and Its Effects on Wind Turbine Aerodynamics X. Ning & D. Wan 10.3390/su11246939
- Four-dimensional wind field generation for the aeroelastic simulation of wind turbines with lidars Y. Chen et al. 10.5194/wes-7-539-2022
Latest update: 23 Nov 2024
Short summary
In this study a model of the coherence between turbine- and lidar-estimated rotor-effective wind speed (REWS) is presented. The model is compared against experimental data from two field tests using two- and four-beam nacelle-mounted lidar systems on a test turbine. The proposed model agrees better with the field data than previously used models. Also, it was shown that the advection speed can be estimated by the REWS measured by the lidar.
In this study a model of the coherence between turbine- and lidar-estimated rotor-effective wind...
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