Articles | Volume 3, issue 2
Wind Energ. Sci., 3, 681–691, 2018
https://doi.org/10.5194/wes-3-681-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue: Flow in complex terrain: the Perdigão campaigns (WES/ACP/AMT...
Wind Energ. Sci., 3, 681–691, 2018
https://doi.org/10.5194/wes-3-681-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
10 Oct 2018
Research article
| 10 Oct 2018
Does the wind turbine wake follow the topography? A multi-lidar study in complex terrain
Robert Menke et al.
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Cited
26 citations as recorded by crossref.
- Multi-lidar wind resource mapping in complex terrain R. Menke et al. 10.5194/wes-5-1059-2020
- Grand challenges in the science of wind energy P. Veers et al. 10.1126/science.aau2027
- Snow-powered research on utility-scale wind turbine flows J. Hong & A. Abraham 10.1007/s10409-020-00934-7
- Characterization of flow recirculation zones at the Perdigão site using multi-lidar measurements R. Menke et al. 10.5194/acp-19-2713-2019
- Effects of atmospheric stability on the performance of a wind turbine located behind a three-dimensional hill L. Liu & R. Stevens 10.1016/j.renene.2021.05.035
- On the self-similarity of wind turbine wakes in a complex terrain using large eddy simulation A. Dar et al. 10.5194/wes-4-633-2019
- Towards accurate and practical drone-based wind measurements with an ultrasonic anemometer W. Thielicke et al. 10.5194/amt-14-1303-2021
- First identification and quantification of detached-tip vortices behind a wind energy converter using fixed-wing unmanned aircraft system M. Mauz et al. 10.5194/wes-4-451-2019
- Wind plants can impact long-term local atmospheric conditions N. Bodini et al. 10.1038/s41598-021-02089-2
- A novel two-dimensional entrainment wake model for wind turbine wakes N. Li et al. 10.1080/15435075.2021.1987916
- Effects of Two-Dimensional Steep Hills on the Performance of Wind Turbines and Wind Farms L. Liu & R. Stevens 10.1007/s10546-020-00522-z
- Investigation of the wake propagation behind wind turbines over hilly terrain with different slope gradients W. Tian et al. 10.1016/j.jweia.2021.104683
- Turbulence Measurements with Dual-Doppler Scanning Lidars A. Peña & J. Mann 10.3390/rs11202444
- Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign N. Wildmann et al. 10.5194/amt-12-6401-2019
- Impact of Topographic Steps in the Wake and Power of a Wind Turbine: Part A—Statistics B. Zhang et al. 10.3390/en13236411
- Wind turbine wakes on escarpments: A wind-tunnel study A. Dar & F. Porté-Agel 10.1016/j.renene.2021.09.102
- Numerical simulation of wind turbine wake based on extended k‐epsilon turbulence model coupling with actuator disc considering nacelle and tower N. Li et al. 10.1049/iet-rpg.2020.0416
- Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain A. Wise et al. 10.5194/wes-7-367-2022
- Monin–Obukhov Similarity Theory for Modeling of Wind Turbine Wakes under Atmospheric Stable Conditions: Breakdown and Modifications X. Han et al. 10.3390/app9204256
- Analysis of flow in complex terrain using multi-Doppler lidar retrievals T. Bell et al. 10.5194/amt-13-1357-2020
- The Influence of Slopes of Isolated Three-Dimensional Valleys on Near-Surface Turbulence S. Freitas et al. 10.1007/s10546-021-00648-8
- Long-range Doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at Perdigao 2017 N. Wildmann et al. 10.1088/1742-6596/1618/3/032034
- Wind Farm Fault Detection by Monitoring Wind Speed in the Wake Region M. Tran et al. 10.3390/en13246559
- Coplanar lidar measurement of a single wind energy converter wake in distinct atmospheric stability regimes at the Perdigão 2017 experiment N. Wildmann et al. 10.1088/1742-6596/1037/5/052006
- Wind turbine wake measurements with automatically adjusting scanning trajectories in a multi-Doppler lidar setup N. Wildmann et al. 10.5194/amt-11-3801-2018
- Actuator Disc Approach of Wind Turbine Wake Simulation Considering Balance of Turbulence Kinetic Energy H. Ren et al. 10.3390/en12010016
23 citations as recorded by crossref.
- Multi-lidar wind resource mapping in complex terrain R. Menke et al. 10.5194/wes-5-1059-2020
- Grand challenges in the science of wind energy P. Veers et al. 10.1126/science.aau2027
- Snow-powered research on utility-scale wind turbine flows J. Hong & A. Abraham 10.1007/s10409-020-00934-7
- Characterization of flow recirculation zones at the Perdigão site using multi-lidar measurements R. Menke et al. 10.5194/acp-19-2713-2019
- Effects of atmospheric stability on the performance of a wind turbine located behind a three-dimensional hill L. Liu & R. Stevens 10.1016/j.renene.2021.05.035
- On the self-similarity of wind turbine wakes in a complex terrain using large eddy simulation A. Dar et al. 10.5194/wes-4-633-2019
- Towards accurate and practical drone-based wind measurements with an ultrasonic anemometer W. Thielicke et al. 10.5194/amt-14-1303-2021
- First identification and quantification of detached-tip vortices behind a wind energy converter using fixed-wing unmanned aircraft system M. Mauz et al. 10.5194/wes-4-451-2019
- Wind plants can impact long-term local atmospheric conditions N. Bodini et al. 10.1038/s41598-021-02089-2
- A novel two-dimensional entrainment wake model for wind turbine wakes N. Li et al. 10.1080/15435075.2021.1987916
- Effects of Two-Dimensional Steep Hills on the Performance of Wind Turbines and Wind Farms L. Liu & R. Stevens 10.1007/s10546-020-00522-z
- Investigation of the wake propagation behind wind turbines over hilly terrain with different slope gradients W. Tian et al. 10.1016/j.jweia.2021.104683
- Turbulence Measurements with Dual-Doppler Scanning Lidars A. Peña & J. Mann 10.3390/rs11202444
- Estimation of turbulence dissipation rate from Doppler wind lidars and in situ instrumentation for the Perdigão 2017 campaign N. Wildmann et al. 10.5194/amt-12-6401-2019
- Impact of Topographic Steps in the Wake and Power of a Wind Turbine: Part A—Statistics B. Zhang et al. 10.3390/en13236411
- Wind turbine wakes on escarpments: A wind-tunnel study A. Dar & F. Porté-Agel 10.1016/j.renene.2021.09.102
- Numerical simulation of wind turbine wake based on extended k‐epsilon turbulence model coupling with actuator disc considering nacelle and tower N. Li et al. 10.1049/iet-rpg.2020.0416
- Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain A. Wise et al. 10.5194/wes-7-367-2022
- Monin–Obukhov Similarity Theory for Modeling of Wind Turbine Wakes under Atmospheric Stable Conditions: Breakdown and Modifications X. Han et al. 10.3390/app9204256
- Analysis of flow in complex terrain using multi-Doppler lidar retrievals T. Bell et al. 10.5194/amt-13-1357-2020
- The Influence of Slopes of Isolated Three-Dimensional Valleys on Near-Surface Turbulence S. Freitas et al. 10.1007/s10546-021-00648-8
- Long-range Doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at Perdigao 2017 N. Wildmann et al. 10.1088/1742-6596/1618/3/032034
- Wind Farm Fault Detection by Monitoring Wind Speed in the Wake Region M. Tran et al. 10.3390/en13246559
3 citations as recorded by crossref.
- Coplanar lidar measurement of a single wind energy converter wake in distinct atmospheric stability regimes at the Perdigão 2017 experiment N. Wildmann et al. 10.1088/1742-6596/1037/5/052006
- Wind turbine wake measurements with automatically adjusting scanning trajectories in a multi-Doppler lidar setup N. Wildmann et al. 10.5194/amt-11-3801-2018
- Actuator Disc Approach of Wind Turbine Wake Simulation Considering Balance of Turbulence Kinetic Energy H. Ren et al. 10.3390/en12010016
Latest update: 17 May 2022
Short summary
This study investigates the behaviour of wind turbine wakes in complex terrain. Using six scanning lidars, we measured the wake of a single turbine at the Perdigão site in Portugal in 2015. Our findings show that wake propagation is highly dependent on the atmospheric stability, which is mostly ignored in flow simulation used for wind farm layout design. The wake is lifted up during unstable atmospheric conditions and follows the terrain downwards during stable conditions.
This study investigates the behaviour of wind turbine wakes in complex terrain. Using six...
