Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-293-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/wes-3-293-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 May 2018
Research article |
| 24 May 2018
| 24 May 2018
How does turbulence change approaching a rotor?
DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
Alfredo Peña
DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
Niels Troldborg
DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
Søren J. Andersen
DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
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17 citations as recorded by crossref.
- Optimizing wind farm control through wake steering using surrogate models based on high-fidelity simulations P. Hulsman et al. 10.5194/wes-5-309-2020
- Multi-lidar wind resource mapping in complex terrain R. Menke et al. 10.5194/wes-5-1059-2020
- 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
- Experimental investigation of the upstream turbulent flow modifications in front of a scaled tidal turbine P. Druault & G. Germain 10.1016/j.renene.2022.07.050
- Power-generation enhancements and upstream flow properties of turbines in unsteady inflow conditions N. Wei & J. Dabiri 10.1017/jfm.2023.454
- Turbulence coherence in wind farms: The role of turbines Y. Liu & R. Stevens 10.1088/1742-6596/2767/9/092108
- Longitudinal coherence and short-term wind speed prediction based on a nacelle-mounted Doppler lidar M. Debnath et al. 10.1088/1742-6596/1618/3/032051
- One-to-one aeroservoelastic validation of operational loads and performance of a 2.8 MW wind turbine model in OpenFAST K. Brown et al. 10.5194/wes-9-1791-2024
- On the spectral behaviour of the turbulence-driven power fluctuations of horizontal-axis turbines G. Deskos et al. 10.1017/jfm.2020.681
- Turbulence velocity spectra and intensities in the inflow of a turbine rotor I. Milne & J. Graham 10.1017/jfm.2019.339
- Aeroelastic load validation in wake conditions using nacelle-mounted lidar measurements D. Conti et al. 10.5194/wes-5-1129-2020
- On the accuracy of predicting wind-farm blockage A. Meyer Forsting et al. 10.1016/j.renene.2023.05.129
- Predictive and stochastic reduced-order modeling of wind turbine wake dynamics S. Andersen & J. Murcia Leon 10.5194/wes-7-2117-2022
- Dependence of turbulence estimations on nacelle lidar scanning strategies W. Fu et al. 10.5194/wes-8-677-2023
- Effects of turbulent inflow time scales on wind turbine wake behavior and recovery E. Hodgson et al. 10.1063/5.0162311
- Revealing inflow and wake conditions of a 6 MW floating turbine N. Angelou et al. 10.5194/wes-8-1511-2023
- Induction study of a horizontal axis tidal turbine: Analytical models compared with experimental results L. Jouenne et al. 10.1016/j.oceaneng.2022.113458
Latest update: 20 Nov 2024
Short summary
Turbulence is usually assumed to be unmodified by the stagnation occurring in front of a wind turbine rotor. All manufacturers assume this in their dynamic load calculations. If this assumption is not true it might bias the load calculations and the turbines might not be designed optimally. We investigate the assumption with a Doppler lidar measuring forward from the top of the nacelle and find small but systematic changes in the approaching turbulence that depend on the power curve.
Turbulence is usually assumed to be unmodified by the stagnation occurring in front of a wind...
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