Articles | Volume 3, issue 2
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.
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
| 10 Oct 2018
Does the wind turbine wake follow the topography? A multi-lidar study in complex terrain
Technical University of Denmark – DTU Wind Energy, Fredriksborgvej 399, Building 118, 4000 Roskilde, Denmark
Nikola Vasiljević
Technical University of Denmark – DTU Wind Energy, Fredriksborgvej 399, Building 118, 4000 Roskilde, Denmark
Kurt S. Hansen
Technical University of Denmark – DTU Wind Energy, Nils Koppels Allé, Building 403, 2800 Kgs. Lyngby, Denmark
Andrea N. Hahmann
Technical University of Denmark – DTU Wind Energy, Fredriksborgvej 399, Building 118, 4000 Roskilde, Denmark
Jakob Mann
Technical University of Denmark – DTU Wind Energy, Fredriksborgvej 399, Building 118, 4000 Roskilde, Denmark
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- Brief communication: How does complex terrain change the power curve of a wind turbine? N. Troldborg et al. 10.5194/wes-7-1527-2022
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- 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
- Derivation and Verification of Gaussian Terrain Wake Model Based on Wind Field Experiment W. Liu et al. 10.3390/pr10122731
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- 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
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- CFD wind farm evaluation in complex terrain under free and wake induced flow conditions D. Bretos et al. 10.1088/1742-6596/2767/9/092099
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- Multi-point in situ measurements of turbulent flow in a wind turbine wake and inflow with a fleet of uncrewed aerial systems T. Wetz & N. Wildmann 10.5194/wes-8-515-2023
- Experimental Study on the Influence of a Two-Dimensional Cosine Hill on Wind Turbine Wake J. Yang et al. 10.3390/machines10090753
- Wake steering of wind turbine in the presence of a two-dimensional hill A. Mishra et al. 10.1063/5.0185842
- Monin–Obukhov Similarity Theory for Modeling of Wind Turbine Wakes under Atmospheric Stable Conditions: Breakdown and Modifications X. Han et al. 10.3390/app9204256
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- 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
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- The Role of Computational Science in Wind and Solar Energy: A Critical Review D. Drikakis & T. Dbouk 10.3390/en15249609
- Implications of complex terrain topography on the performance of a real wind farm F. Bernardoni et al. 10.1088/1742-6596/2505/1/012052
- The impact of swirl and wake strength on turbulent axisymmetric wake evolution M. Holmes & J. Naughton 10.1063/5.0094593
- 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
- The Influence of Slopes of Isolated Three-Dimensional Valleys on Near-Surface Turbulence S. Freitas et al. 10.1007/s10546-021-00648-8
- 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
39 citations as recorded by crossref.
- Grand challenges in the science of wind energy P. Veers et al. 10.1126/science.aau2027
- Implementation of a generalized actuator disk model into WRF v4.3: A validation study for a real-scale wind turbine B. Kale et al. 10.1016/j.renene.2022.07.119
- 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
- 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
- Comparing scanning lidar configurations for wake measurements based on the reduction of associated measurement uncertainties L. Hung et al. 10.1088/1742-6596/2505/1/012031
- Brief communication: How does complex terrain change the power curve of a wind turbine? N. Troldborg et al. 10.5194/wes-7-1527-2022
- 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
- Derivation and Verification of Gaussian Terrain Wake Model Based on Wind Field Experiment W. Liu et al. 10.3390/pr10122731
- 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
- 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
- CFD wind farm evaluation in complex terrain under free and wake induced flow conditions D. Bretos et al. 10.1088/1742-6596/2767/9/092099
- Research challenges and needs for the deployment of wind energy in hilly and mountainous regions A. Clifton et al. 10.5194/wes-7-2231-2022
- Large-eddy simulation of upwind-hill effects on wind-turbine wakes and power performance Z. Zhang et al. 10.1016/j.energy.2024.130823
- Wind turbine wake superposition under pressure gradient A. Dar & F. Porté-Agel 10.1063/5.0185542
- Multi-point in situ measurements of turbulent flow in a wind turbine wake and inflow with a fleet of uncrewed aerial systems T. Wetz & N. Wildmann 10.5194/wes-8-515-2023
- Experimental Study on the Influence of a Two-Dimensional Cosine Hill on Wind Turbine Wake J. Yang et al. 10.3390/machines10090753
- Wake steering of wind turbine in the presence of a two-dimensional hill A. Mishra et al. 10.1063/5.0185842
- 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
- 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
- Multi-lidar wind resource mapping in complex terrain R. Menke et al. 10.5194/wes-5-1059-2020
- An experimental and analytical study of wind turbine wakes under pressure gradient A. Dar et al. 10.1063/5.0145043
- 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
- 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
- Inter-comparison study of wind measurement between the three-lidar-based virtual tower and four lidars using VAD techniques X. Liu et al. 10.1080/10095020.2024.2307930
- Turbulence Measurements with Dual-Doppler Scanning Lidars A. Peña & J. Mann 10.3390/rs11202444
- The Role of Computational Science in Wind and Solar Energy: A Critical Review D. Drikakis & T. Dbouk 10.3390/en15249609
- Implications of complex terrain topography on the performance of a real wind farm F. Bernardoni et al. 10.1088/1742-6596/2505/1/012052
- The impact of swirl and wake strength on turbulent axisymmetric wake evolution M. Holmes & J. Naughton 10.1063/5.0094593
- 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
- The Influence of Slopes of Isolated Three-Dimensional Valleys on Near-Surface Turbulence S. Freitas et al. 10.1007/s10546-021-00648-8
2 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
Latest update: 29 Jun 2024
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...
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