Articles | Volume 2, issue 1
https://doi.org/10.5194/wes-2-133-2017
© Author(s) 2017. 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-2-133-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Mar 2017
Research article |
| 13 Mar 2017
Turbulence characterization from a forward-looking nacelle lidar
DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
Jakob Mann
DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
Nikolay Dimitrov
DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
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- Influence of nacelle-lidar scanning patterns on inflow turbulence characterization W. Fu et al. 10.1088/1742-6596/2265/2/022016
- Unsteady responses and correlation characteristics of propeller blades under turbulence excitation H. Yao et al. 10.1016/j.oceaneng.2022.112631
- Aeroelastic load validation in wake conditions using nacelle-mounted lidar measurements D. Conti et al. 10.5194/wes-5-1129-2020
- Evaluation of lidar-assisted wind turbine control under various turbulence characteristics F. Guo et al. 10.5194/wes-8-149-2023
- Impact of floating turbine motion on nacelle lidar turbulence measurements A. Peña et al. 10.1088/1742-6596/2767/4/042003
- Field Study of Turbulence Intensity measurement by Nacelle Mounted Lidar (NML) Z. Liang et al. 10.1088/1742-6596/2265/2/022104
- Characterization of turbulence under different stability conditions using lidar scanning data R. Rai et al. 10.1088/1742-6596/1452/1/012085
- Turbulence distortion and blockage in the induction zone of a horizontal axis turbine K. Gouder et al. 10.1017/jfm.2024.713
- Error analysis of low-fidelity models for wake steering based on field measurements S. Letizia et al. 10.1088/1742-6596/2767/4/042029
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- The space-time structure of turbulence for lidar-assisted wind turbine control F. Guo et al. 10.1016/j.renene.2022.05.133
- Mutsu 2020 Scanning LiDAR Experiment: Comparison of Dual and Single Scanning LiDAR Systems for Near‐Shore Wind Measurement S. Shimada et al. 10.1002/we.70003
- Characterization of wind turbine flow through nacelle-mounted lidars: a review S. Letizia et al. 10.3389/fmech.2023.1261017
- Investigating Suppression of Cloud Return with a Novel Optical Configuration of a Doppler Lidar L. Jin et al. 10.3390/rs14153576
- Turbulence statistics from three different nacelle lidars W. Fu et al. 10.5194/wes-7-831-2022
- How does turbulence change approaching a rotor? J. Mann et al. 10.5194/wes-3-293-2018
- 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
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- Very short-term forecast of near-coastal flow using scanning lidars L. Valldecabres et al. 10.5194/wes-3-313-2018
- Dependence of turbulence estimations on nacelle lidar scanning strategies W. Fu et al. 10.5194/wes-8-677-2023
- High-fidelity retrieval from instantaneous line-of-sight returns of nacelle-mounted lidar including supervised machine learning K. Brown & T. Herges 10.5194/amt-15-7211-2022
- Østerild: A natural laboratory for atmospheric turbulence A. Peña 10.1063/1.5121486
- Inflow characterization using measurements from the SpinnerLidar: the ScanFlow experiment A. Peña et al. 10.1088/1742-6596/1037/5/052027
- 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
- Analysis and design of an adaptive turbulence-based controller for wind turbines L. Dong et al. 10.1016/j.renene.2021.06.080
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- Lidar-based Estimation of Turbulence Intensity for Controller Scheduling D. Schlipf et al. 10.1088/1742-6596/1618/3/032053
- Turbulence Measurements with Dual-Doppler Scanning Lidars A. Peña & J. Mann 10.3390/rs11202444
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- Wind turbine power curve modelling under wake conditions using measurements from a spinner-mounted lidar A. Sebastiani et al. 10.1016/j.apenergy.2024.122985
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Latest update: 19 Apr 2025
Short summary
Nacelle lidars are nowadays extensively used to scan the turbine inflow. Thus, it is important to characterize turbulence from their measurements. We present two methods to perform turbulence estimation and demonstrate them using two types of lidars. With one method we can estimate the along-wind unfiltered variance accurately. With the other we can estimate the filtered radial velocity variance accurately and velocity-tensor parameters under neutral and high wind-speed conditions.
Nacelle lidars are nowadays extensively used to scan the turbine inflow. Thus, it is important...
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