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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- Characterization of turbulence under different stability conditions using lidar scanning data R. Rai et al. 10.1088/1742-6596/1452/1/012085
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- Turbulence velocity spectra and intensities in the inflow of a turbine rotor I. Milne & J. Graham 10.1017/jfm.2019.339
- The space-time structure of turbulence for lidar-assisted wind turbine control F. Guo et al. 10.1016/j.renene.2022.05.133
- Characterization of wind turbine flow through nacelle-mounted lidars: a review S. Letizia et al. 10.3389/fmech.2023.1261017
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- How does turbulence change approaching a rotor? J. Mann et al. 10.5194/wes-3-293-2018
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- 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
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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
- Wind turbine wake characterization using the SpinnerLidar measurements D. Conti et al. 10.1088/1742-6596/1618/6/062040
- 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 2024
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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