Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-329-2018
© 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-3-329-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Jun 2018
Research article |
| 01 Jun 2018
| 01 Jun 2018
Wind tunnel experiments on wind turbine wakes in yaw: effects of inflow turbulence and shear
Jan Bartl
CORRESPONDING AUTHOR
Department of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim, Norway
Franz Mühle
Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
Jannik Schottler
ForWind, Institute of Physics, University of Oldenburg, Oldenburg, Germany
Lars Sætran
Department of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim, Norway
Joachim Peinke
ForWind, Institute of Physics, University of Oldenburg, Oldenburg, Germany
Fraunhofer IWES, Oldenburg, Germany
Muyiwa Adaramola
Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
Michael Hölling
ForWind, Institute of Physics, University of Oldenburg, Oldenburg, Germany
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Cited
53 citations as recorded by crossref.
- Aerodynamic characterization of two tandem wind turbines under yaw misalignment control using actuator line model Y. Tu et al. 10.1016/j.oceaneng.2023.114992
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- FarmConners wind farm flow control benchmark – Part 1: Blind test results T. Göçmen et al. 10.5194/wes-7-1791-2022
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- Wind farm control ‐ Part I: A review on control system concepts and structures L. Andersson et al. 10.1049/rpg2.12160
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- Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
- Towards a better understanding of yawed turbine wake for efficient wake steering in tidal arrays P. Modali et al. 10.1016/j.renene.2021.05.152
- Effect of low-level jet on turbine aerodynamic blade loading using large-eddy simulations S. Gadde et al. 10.1088/1742-6596/1934/1/012001
- Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research H. Peng et al. 10.3390/su15108333
- Characterizing tilt effects on wind plants R. Scott et al. 10.1063/5.0009853
- Parametric dependencies of the yawed wind‐turbine wake development E. Kleusberg et al. 10.1002/we.2395
- Turbine Wake Deflection Measurement in a Wind Tunnel with a Lidar WindScanner P. Hulsman et al. 10.1088/1742-6596/1452/1/012007
- Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions P. Hulsman et al. 10.1088/1742-6596/2265/3/032074
- Temporal Up-Sampling of Planar Long-Range Doppler LiDAR Wind Speed Measurements Using Space-Time Conversion H. Beck & M. Kühn 10.3390/rs11070867
- Characterizing porous disk wakes in different turbulent inflow conditions with higher-order statistics M. Vinnes et al. 10.1007/s00348-022-03565-9
- The Influence of Yaw Misalignment on Turbine Power Output Fluctuations and Unsteady Aerodynamic Loads within Wind Farms E. Aju et al. 10.2139/ssrn.4194363
- Turbulence and Control of Wind Farms C. Shapiro et al. 10.1146/annurev-control-070221-114032
- An experimental study on the effects of winglets on the tip vortex interaction in the near wake of a model wind turbine F. Mühle et al. 10.1002/we.2486
- Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
- Near-wake structure of full-scale vertical-axis wind turbines N. Wei et al. 10.1017/jfm.2020.578
- A new method for simulating multiple wind turbine wakes under yawed conditions D. Wei et al. 10.1016/j.oceaneng.2021.109832
- Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control A. Saenz-Aguirre et al. 10.3390/en12030436
- Super-resolution reconstruction framework of wind turbine wake: Design and application M. Chen et al. 10.1016/j.oceaneng.2023.116099
- Blind test comparison on the wake behind a yawed wind turbine F. Mühle et al. 10.5194/wes-3-883-2018
- Tip‐vortex breakdown of wind turbines subject to shear E. Kleusberg et al. 10.1002/we.2403
- The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows L. Martínez-Tossas et al. 10.5194/wes-6-555-2021
- A physically interpretable data-driven surrogate model for wake steering B. Sengers et al. 10.5194/wes-7-1455-2022
- First characterization of a new perturbation system for gust generation: the chopper I. Neunaber & C. Braud 10.5194/wes-5-759-2020
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- A time‐varying formulation of the curled wake model within the FAST.Farm framework E. Branlard et al. 10.1002/we.2785
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Asymmetries and similarities of yawed rotor wakes X. Xiong et al. 10.1063/5.0106745
- Experimental investigation of wind turbine wake and load dynamics during yaw maneuvers S. Macrí et al. 10.5194/wes-6-585-2021
- Adjoint optimisation for wind farm flow control with a free-vortex wake model M. van den Broek et al. 10.1016/j.renene.2022.10.120
- The aerodynamics of the curled wake: a simplified model in view of flow control L. Martínez-Tossas et al. 10.5194/wes-4-127-2019
- Modelling Yawed Wind Turbine Wakes: Extension of a Gaussian-Based Wake Model D. Wei et al. 10.3390/en14154494
- Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines J. Bossuyt et al. 10.1017/jfm.2021.237
- Large-eddy simulation on the similarity between wakes of wind turbines with different yaw angles Z. Li & X. Yang 10.1017/jfm.2021.495
- The influence of yaw misalignment on turbine power output fluctuations and unsteady aerodynamic loads within wind farms E. Aju et al. 10.1016/j.renene.2023.06.015
- A novel 2D analytical model for predicting single and multiple‐interacting wakes of horizontal‐axis wind turbines P. Asad Ayoubi et al. 10.1002/ep.13980
- Quantitative assessment on fatigue damage induced by wake effect and yaw misalignment for floating offshore wind turbines T. Tao et al. 10.1016/j.oceaneng.2023.116004
- A new analytical model for wind turbine wakes based on Monin-Obukhov similarity theory Y. Cheng et al. 10.1016/j.apenergy.2019.01.225
- Brief communication: A double-Gaussian wake model J. Schreiber et al. 10.5194/wes-5-237-2020
- Experimental study on the characteristics of wind turbine wake field considering yaw conditions X. Zhao et al. 10.1002/ese3.987
- Wind farm power optimization via yaw angle control: A wind tunnel study M. Bastankhah & F. Porté-Agel 10.1063/1.5077038
- Large Eddy Simulation of Yawed Wind Turbine Wake Deformation H. Kim & S. Lee 10.3390/en15176125
- Three-dimensional yaw wake model development with validations from wind tunnel experiments R. He et al. 10.1016/j.energy.2023.128402
- 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
- Wind turbine wake influence on the mixing of relative humidity quantified through wind tunnel experiments M. Obligado et al. 10.1063/5.0039090
- A vortex sheet based analytical model of the curled wake behind yawed wind turbines M. Bastankhah et al. 10.1017/jfm.2021.1010
- Curled-Skewed Wakes behind Yawed Wind Turbines Subject to Veered Inflow M. Mohammadi et al. 10.3390/en15239135
- Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. 10.5194/wes-3-257-2018
52 citations as recorded by crossref.
- Aerodynamic characterization of two tandem wind turbines under yaw misalignment control using actuator line model Y. Tu et al. 10.1016/j.oceaneng.2023.114992
- On the wake deflection of vertical axis wind turbines by pitched blades M. Huang et al. 10.1002/we.2803
- FarmConners wind farm flow control benchmark – Part 1: Blind test results T. Göçmen et al. 10.5194/wes-7-1791-2022
- A wind tunnel investigation of yawed wind turbine wake impacts on downwind wind turbine performances and wind loads T. Uchida et al. 10.1177/0309524X221150219
- Wind farm control ‐ Part I: A review on control system concepts and structures L. Andersson et al. 10.1049/rpg2.12160
- Analytical three‐dimensional wind flow model for real‐time wind farm simulation V. Kipke et al. 10.1049/iet-rpg.2020.0106
- Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
- Towards a better understanding of yawed turbine wake for efficient wake steering in tidal arrays P. Modali et al. 10.1016/j.renene.2021.05.152
- Effect of low-level jet on turbine aerodynamic blade loading using large-eddy simulations S. Gadde et al. 10.1088/1742-6596/1934/1/012001
- Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research H. Peng et al. 10.3390/su15108333
- Characterizing tilt effects on wind plants R. Scott et al. 10.1063/5.0009853
- Parametric dependencies of the yawed wind‐turbine wake development E. Kleusberg et al. 10.1002/we.2395
- Turbine Wake Deflection Measurement in a Wind Tunnel with a Lidar WindScanner P. Hulsman et al. 10.1088/1742-6596/1452/1/012007
- Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions P. Hulsman et al. 10.1088/1742-6596/2265/3/032074
- Temporal Up-Sampling of Planar Long-Range Doppler LiDAR Wind Speed Measurements Using Space-Time Conversion H. Beck & M. Kühn 10.3390/rs11070867
- Characterizing porous disk wakes in different turbulent inflow conditions with higher-order statistics M. Vinnes et al. 10.1007/s00348-022-03565-9
- The Influence of Yaw Misalignment on Turbine Power Output Fluctuations and Unsteady Aerodynamic Loads within Wind Farms E. Aju et al. 10.2139/ssrn.4194363
- Turbulence and Control of Wind Farms C. Shapiro et al. 10.1146/annurev-control-070221-114032
- An experimental study on the effects of winglets on the tip vortex interaction in the near wake of a model wind turbine F. Mühle et al. 10.1002/we.2486
- Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
- Near-wake structure of full-scale vertical-axis wind turbines N. Wei et al. 10.1017/jfm.2020.578
- A new method for simulating multiple wind turbine wakes under yawed conditions D. Wei et al. 10.1016/j.oceaneng.2021.109832
- Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control A. Saenz-Aguirre et al. 10.3390/en12030436
- Super-resolution reconstruction framework of wind turbine wake: Design and application M. Chen et al. 10.1016/j.oceaneng.2023.116099
- Blind test comparison on the wake behind a yawed wind turbine F. Mühle et al. 10.5194/wes-3-883-2018
- Tip‐vortex breakdown of wind turbines subject to shear E. Kleusberg et al. 10.1002/we.2403
- The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows L. Martínez-Tossas et al. 10.5194/wes-6-555-2021
- A physically interpretable data-driven surrogate model for wake steering B. Sengers et al. 10.5194/wes-7-1455-2022
- First characterization of a new perturbation system for gust generation: the chopper I. Neunaber & C. Braud 10.5194/wes-5-759-2020
- Development of a curled wake of a yawed wind turbine under turbulent and sheared inflow P. Hulsman et al. 10.5194/wes-7-237-2022
- A time‐varying formulation of the curled wake model within the FAST.Farm framework E. Branlard et al. 10.1002/we.2785
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Asymmetries and similarities of yawed rotor wakes X. Xiong et al. 10.1063/5.0106745
- Experimental investigation of wind turbine wake and load dynamics during yaw maneuvers S. Macrí et al. 10.5194/wes-6-585-2021
- Adjoint optimisation for wind farm flow control with a free-vortex wake model M. van den Broek et al. 10.1016/j.renene.2022.10.120
- The aerodynamics of the curled wake: a simplified model in view of flow control L. Martínez-Tossas et al. 10.5194/wes-4-127-2019
- Modelling Yawed Wind Turbine Wakes: Extension of a Gaussian-Based Wake Model D. Wei et al. 10.3390/en14154494
- Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines J. Bossuyt et al. 10.1017/jfm.2021.237
- Large-eddy simulation on the similarity between wakes of wind turbines with different yaw angles Z. Li & X. Yang 10.1017/jfm.2021.495
- The influence of yaw misalignment on turbine power output fluctuations and unsteady aerodynamic loads within wind farms E. Aju et al. 10.1016/j.renene.2023.06.015
- A novel 2D analytical model for predicting single and multiple‐interacting wakes of horizontal‐axis wind turbines P. Asad Ayoubi et al. 10.1002/ep.13980
- Quantitative assessment on fatigue damage induced by wake effect and yaw misalignment for floating offshore wind turbines T. Tao et al. 10.1016/j.oceaneng.2023.116004
- A new analytical model for wind turbine wakes based on Monin-Obukhov similarity theory Y. Cheng et al. 10.1016/j.apenergy.2019.01.225
- Brief communication: A double-Gaussian wake model J. Schreiber et al. 10.5194/wes-5-237-2020
- Experimental study on the characteristics of wind turbine wake field considering yaw conditions X. Zhao et al. 10.1002/ese3.987
- Wind farm power optimization via yaw angle control: A wind tunnel study M. Bastankhah & F. Porté-Agel 10.1063/1.5077038
- Large Eddy Simulation of Yawed Wind Turbine Wake Deformation H. Kim & S. Lee 10.3390/en15176125
- Three-dimensional yaw wake model development with validations from wind tunnel experiments R. He et al. 10.1016/j.energy.2023.128402
- 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
- Wind turbine wake influence on the mixing of relative humidity quantified through wind tunnel experiments M. Obligado et al. 10.1063/5.0039090
- A vortex sheet based analytical model of the curled wake behind yawed wind turbines M. Bastankhah et al. 10.1017/jfm.2021.1010
- Curled-Skewed Wakes behind Yawed Wind Turbines Subject to Veered Inflow M. Mohammadi et al. 10.3390/en15239135
1 citations as recorded by crossref.
Latest update: 03 Dec 2023
Short summary
Wake steering by yawing a wind turbine offers great potential to increase the wind farm power production. A model scale experiment in a controlled wind tunnel environment has been performed to map the wake flow's complex velocity distribution for different inflow conditions. A non-uniform sheared inflow was observed to affect the wake flow only insignificantly. The level of turbulent velocity fluctuations in the inflow, however, influenced the wake's velocity distribution to a higher degree.
Wake steering by yawing a wind turbine offers great potential to increase the wind farm power...
