Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-173-2018
© 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-3-173-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Apr 2018
Research article |
| 13 Apr 2018
| 13 Apr 2018
Assessment of wind turbine component loads under yaw-offset conditions
Rick Damiani
CORRESPONDING AUTHOR
National Renewable Energy Laboratory, Golden, CO 80401, USA
Scott Dana
National Renewable Energy Laboratory, Golden, CO 80401, USA
Jennifer Annoni
National Renewable Energy Laboratory, Golden, CO 80401, USA
Paul Fleming
National Renewable Energy Laboratory, Golden, CO 80401, USA
Jason Roadman
National Renewable Energy Laboratory, Golden, CO 80401, USA
Jeroen van Dam
National Renewable Energy Laboratory, Golden, CO 80401, USA
Katherine Dykes
National Renewable Energy Laboratory, Golden, CO 80401, USA
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Cited
75 citations as recorded by crossref.
- Loads assessment of a fixed‐bottom offshore wind farm with wake steering K. Shaler et al. 10.1002/we.2756
- Design, steady performance and wake characterization of a scaled wind turbine with pitch, torque and yaw actuation E. Nanos et al. 10.5194/wes-7-1263-2022
- Evaluation of the impact of active wake control techniques on ultimate loads for a 10 MW wind turbine A. Croce et al. 10.5194/wes-7-1-2022
- Rotor imbalance detection and diagnosis in floating wind turbines by means of drivetrain condition monitoring F. Mehlan & A. Nejad 10.1016/j.renene.2023.04.102
- Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research H. Peng et al. 10.3390/su15108333
- Active flap control with the trailing edge flap hinge moment as a sensor: using it to estimate local blade inflow conditions and to reduce extreme blade loads and deflections S. Perez-Becker et al. 10.5194/wes-6-791-2021
- Data-driven yaw misalignment correction for utility-scale wind turbines L. Gao & J. Hong 10.1063/5.0056671
- Impact of wake steering on loads of downstream wind turbines at an above-rated condition R. Thedin et al. 10.1088/1742-6596/2767/3/032020
- Artificial intelligence-aided wind plant optimization for nationwide evaluation of land use and economic benefits of wake steering D. Harrison-Atlas et al. 10.1038/s41560-024-01516-8
- A Method for Yaw Error Alignment of Wind Turbine Based on LiDAR L. Zhang & Q. Yang 10.1109/ACCESS.2020.2969477
- Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 P. Fleming et al. 10.5194/wes-4-273-2019
- Field Validation of Wake Steering Control with Wind Direction Variability E. Simley et al. 10.1088/1742-6596/1452/1/012012
- Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
- Validation of a lookup-table approach to modeling turbine fatigue loads in wind farms under active wake control H. Mendez Reyes et al. 10.5194/wes-4-549-2019
- Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control A. Saenz-Aguirre et al. 10.3390/en12030436
- Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2 P. Fleming et al. 10.5194/wes-5-945-2020
- Determination of optimal wind turbine alignment into the wind and detection of alignment changes with SCADA data N. Mittelmeier & M. Kühn 10.5194/wes-3-395-2018
- A constrained wind farm controller providing secondary frequency regulation: An LES study S. Boersma et al. 10.1016/j.renene.2018.11.031
- Combining wake redirection and derating strategies in a load-constrained wind farm power maximization A. Croce et al. 10.5194/wes-9-1211-2024
- Correlations Between Wake Phenomena and Fatigue Loads Within Large Wind Farms: A Large-Eddy Simulation Study M. Moens & P. Chatelain 10.3389/fenrg.2022.881532
- A point vortex transportation model for yawed wind turbine wakes H. Zong & F. Porté-Agel 10.1017/jfm.2020.123
- Benchmarking different fidelities in wind turbine aerodynamics under yaw A. Muñoz-Simón et al. 10.1088/1742-6596/1618/4/042017
- Multifidelity multiobjective optimization for wake-steering strategies J. Quick et al. 10.5194/wes-7-1941-2022
- Model‐free closed‐loop wind farm control using reinforcement learning with recursive least squares J. Liew et al. 10.1002/we.2852
- Wake redirection for active power control: a realistic case study M. Kretschmer et al. 10.1088/1742-6596/1618/2/022059
- Wind Tunnel Testing of Yaw by Individual Pitch Control Applied to Wake Steering F. Campagnolo et al. 10.3389/fenrg.2022.883889
- Power Production and Blade Fatigue of a Wind Turbine Array Subjected to Active Yaw Control M. Lin & F. Porté-Agel 10.3390/en16062542
- Assessment of an actuator disk‐based approach for the prediction of fatigue loads in a perspective of wind farm‐scale application M. Moens et al. 10.1002/we.2772
- A control-oriented large eddy simulation of wind turbine wake considering effects of Coriolis force and time-varying wind conditions G. Qian et al. 10.1016/j.energy.2021.121876
- 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
- Design and analysis of a wake steering controller with wind direction variability E. Simley et al. 10.5194/wes-5-451-2020
- A Tutorial on the Control of Floating Offshore Wind Turbines: Stability Challenges and Opportunities for Power Capture D. Stockhouse et al. 10.1109/MCS.2024.3433208
- Wind turbine drivetrains: state-of-the-art technologies and future development trends A. Nejad et al. 10.5194/wes-7-387-2022
- Wind Farm Loads under Wake Redirection Control S. Kanev et al. 10.3390/en13164088
- Lifetime fatigue response due to wake steering on a pair of utility-scale wind turbines S. Dana et al. 10.1088/1742-6596/2265/2/022106
- Loads and fatigue characteristics assessment of wind farm based on dynamic wake meandering model S. Ye et al. 10.1016/j.renene.2024.121419
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Contextual Bayesian optimization with trust region (CBOTR) and its application to cooperative wind farm control in region 2 J. Park 10.1016/j.seta.2020.100679
- Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance E. Simley et al. 10.5194/wes-6-1427-2021
- The value of wake steering wind farm flow control in US energy markets E. Simley et al. 10.5194/wes-9-219-2024
- Control-oriented modelling of wind direction variability S. Dallas et al. 10.5194/wes-9-841-2024
- Wind farm flow control oriented to electricity markets and grid integration: Initial perspective analysis I. Eguinoa et al. 10.1002/adc2.80
- Wind farm power optimization through wake steering M. Howland et al. 10.1073/pnas.1903680116
- Uncertainty and Global Sensitivity Analysis of Wind Turbines Fatigue in Non-ideal Conditions B. Mazetto & T. Ritto 10.1007/s42417-022-00632-7
- Optimal yaw strategy and fatigue analysis of wind turbines under the combined effects of wake and yaw control R. He et al. 10.1016/j.apenergy.2023.120878
- Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations N. Bempedelis et al. 10.5194/wes-9-869-2024
- Reliability‐based layout optimization in offshore wind energy systems C. Clark et al. 10.1002/we.2664
- Deep analysis of power regulation on fatigue loads and platform motion in floating wind turbines X. Yuan et al. 10.1016/j.oceaneng.2024.119667
- Further Study on the Effects of Wind Turbine Yaw Operation for Aiding Active Wake Management J. Dai et al. 10.3390/app10061978
- Control Co-Design of Wind Turbines L. Pao et al. 10.1146/annurev-control-061423-101708
- Detecting abnormal small-scale events by nacelle lidar at the AD8-180 prototype turbine P. Meyer et al. 10.1088/1742-6596/2767/4/042035
- Experimental study of the effective parameters on the offshore wind turbine's airfoil in pitching case A. Mamouri et al. 10.1016/j.oceaneng.2020.106955
- Catch the wind: Optimizing wind turbine power generation by addressing wind veer effects L. Gao et al. 10.1093/pnasnexus/pgae480
- Time-domain fatigue damage assessment for wind turbine tower bolts under yaw optimization control at offshore wind farm T. Tao et al. 10.1016/j.oceaneng.2024.117706
- OPTIMAL YAW CONTROL OF A WIND FARM BASED ON COMPUTATIONAL FLUID DYNAMICS T. Kim et al. 10.6112/kscfe.2024.29.2.074
- Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes M. Bromm et al. 10.1002/we.2210
- Investigating the impact of atmospheric conditions on wake-steering performance at a commercial wind plant E. Simley et al. 10.1088/1742-6596/2265/3/032097
- Fatigue Load Minimization for a Position-Controlled Floating Offshore Wind Turbine B. Saunders & R. Nagamune 10.3390/jmse11122274
- Analytical model for the power production of a yaw-misaligned wind turbine J. Lu et al. 10.1063/5.0174267
- Optimal yaw strategy for optimized power and load in various wake situations A. Urbán et al. 10.1088/1742-6596/1102/1/012019
- Collective wind farm operation based on a predictive model increases utility-scale energy production M. Howland et al. 10.1038/s41560-022-01085-8
- Optimizing Wind Farm Efficiency through Active Yaw Control: A Neural Network-Aided Game Theory Approach H. Abedi et al. 10.1088/1742-6596/2767/9/092020
- Experimental analysis of co-rotating and counter-rotating tandem horizontal-axis wind turbine performance and wake dynamics P. Bayron et al. 10.1016/j.jweia.2024.105840
- Sensitivity analysis of mesoscale simulations to physics parameterizations over the Belgian North Sea using Weather Research and Forecasting – Advanced Research WRF (WRF-ARW) A. Vemuri et al. 10.5194/wes-7-1869-2022
- Wind tunnel study on power output and yaw moments for two yaw-controlled model wind turbines J. Bartl et al. 10.5194/wes-3-489-2018
- Fast yaw optimization for wind plant wake steering using Boolean yaw angles A. Stanley et al. 10.5194/wes-7-741-2022
- LSTM-NN Yaw Control of Wind Turbines Based on Upstream Wind Information W. Chen et al. 10.3390/en13061482
- Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
- Predicting the benefit of wake steering on the annual energy production of a wind farm using large eddy simulations and Gaussian process regression D. Hoek et al. 10.1088/1742-6596/1618/2/022024
- Wake steering optimization under uncertainty J. Quick et al. 10.5194/wes-5-413-2020
- Joint Optimization of Production and Maintenance in Offshore Wind Farms: Balancing the Short- and Long-Term Needs of Wind Energy Operation P. Papadopoulos et al. 10.1109/TSTE.2023.3308473
- Field experiment for open-loop yaw-based wake steering at a commercial onshore wind farm in Italy B. Doekemeijer et al. 10.5194/wes-6-159-2021
- Quantitative evaluation of yaw-misalignment and aerodynamic wake induced fatigue loads of offshore Wind turbines J. Sun et al. 10.1016/j.renene.2022.08.137
- An engineering model for wind turbines under yawed conditions derived from high fidelity models H. Rahimi et al. 10.1002/we.2182
- Study of wind farm control potential based on SCADA data J. Schreiber et al. 10.1088/1742-6596/1037/3/032012
73 citations as recorded by crossref.
- Loads assessment of a fixed‐bottom offshore wind farm with wake steering K. Shaler et al. 10.1002/we.2756
- Design, steady performance and wake characterization of a scaled wind turbine with pitch, torque and yaw actuation E. Nanos et al. 10.5194/wes-7-1263-2022
- Evaluation of the impact of active wake control techniques on ultimate loads for a 10 MW wind turbine A. Croce et al. 10.5194/wes-7-1-2022
- Rotor imbalance detection and diagnosis in floating wind turbines by means of drivetrain condition monitoring F. Mehlan & A. Nejad 10.1016/j.renene.2023.04.102
- Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research H. Peng et al. 10.3390/su15108333
- Active flap control with the trailing edge flap hinge moment as a sensor: using it to estimate local blade inflow conditions and to reduce extreme blade loads and deflections S. Perez-Becker et al. 10.5194/wes-6-791-2021
- Data-driven yaw misalignment correction for utility-scale wind turbines L. Gao & J. Hong 10.1063/5.0056671
- Impact of wake steering on loads of downstream wind turbines at an above-rated condition R. Thedin et al. 10.1088/1742-6596/2767/3/032020
- Artificial intelligence-aided wind plant optimization for nationwide evaluation of land use and economic benefits of wake steering D. Harrison-Atlas et al. 10.1038/s41560-024-01516-8
- A Method for Yaw Error Alignment of Wind Turbine Based on LiDAR L. Zhang & Q. Yang 10.1109/ACCESS.2020.2969477
- Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 P. Fleming et al. 10.5194/wes-4-273-2019
- Field Validation of Wake Steering Control with Wind Direction Variability E. Simley et al. 10.1088/1742-6596/1452/1/012012
- Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
- Validation of a lookup-table approach to modeling turbine fatigue loads in wind farms under active wake control H. Mendez Reyes et al. 10.5194/wes-4-549-2019
- Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control A. Saenz-Aguirre et al. 10.3390/en12030436
- Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2 P. Fleming et al. 10.5194/wes-5-945-2020
- Determination of optimal wind turbine alignment into the wind and detection of alignment changes with SCADA data N. Mittelmeier & M. Kühn 10.5194/wes-3-395-2018
- A constrained wind farm controller providing secondary frequency regulation: An LES study S. Boersma et al. 10.1016/j.renene.2018.11.031
- Combining wake redirection and derating strategies in a load-constrained wind farm power maximization A. Croce et al. 10.5194/wes-9-1211-2024
- Correlations Between Wake Phenomena and Fatigue Loads Within Large Wind Farms: A Large-Eddy Simulation Study M. Moens & P. Chatelain 10.3389/fenrg.2022.881532
- A point vortex transportation model for yawed wind turbine wakes H. Zong & F. Porté-Agel 10.1017/jfm.2020.123
- Benchmarking different fidelities in wind turbine aerodynamics under yaw A. Muñoz-Simón et al. 10.1088/1742-6596/1618/4/042017
- Multifidelity multiobjective optimization for wake-steering strategies J. Quick et al. 10.5194/wes-7-1941-2022
- Model‐free closed‐loop wind farm control using reinforcement learning with recursive least squares J. Liew et al. 10.1002/we.2852
- Wake redirection for active power control: a realistic case study M. Kretschmer et al. 10.1088/1742-6596/1618/2/022059
- Wind Tunnel Testing of Yaw by Individual Pitch Control Applied to Wake Steering F. Campagnolo et al. 10.3389/fenrg.2022.883889
- Power Production and Blade Fatigue of a Wind Turbine Array Subjected to Active Yaw Control M. Lin & F. Porté-Agel 10.3390/en16062542
- Assessment of an actuator disk‐based approach for the prediction of fatigue loads in a perspective of wind farm‐scale application M. Moens et al. 10.1002/we.2772
- A control-oriented large eddy simulation of wind turbine wake considering effects of Coriolis force and time-varying wind conditions G. Qian et al. 10.1016/j.energy.2021.121876
- 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
- Design and analysis of a wake steering controller with wind direction variability E. Simley et al. 10.5194/wes-5-451-2020
- A Tutorial on the Control of Floating Offshore Wind Turbines: Stability Challenges and Opportunities for Power Capture D. Stockhouse et al. 10.1109/MCS.2024.3433208
- Wind turbine drivetrains: state-of-the-art technologies and future development trends A. Nejad et al. 10.5194/wes-7-387-2022
- Wind Farm Loads under Wake Redirection Control S. Kanev et al. 10.3390/en13164088
- Lifetime fatigue response due to wake steering on a pair of utility-scale wind turbines S. Dana et al. 10.1088/1742-6596/2265/2/022106
- Loads and fatigue characteristics assessment of wind farm based on dynamic wake meandering model S. Ye et al. 10.1016/j.renene.2024.121419
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Contextual Bayesian optimization with trust region (CBOTR) and its application to cooperative wind farm control in region 2 J. Park 10.1016/j.seta.2020.100679
- Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance E. Simley et al. 10.5194/wes-6-1427-2021
- The value of wake steering wind farm flow control in US energy markets E. Simley et al. 10.5194/wes-9-219-2024
- Control-oriented modelling of wind direction variability S. Dallas et al. 10.5194/wes-9-841-2024
- Wind farm flow control oriented to electricity markets and grid integration: Initial perspective analysis I. Eguinoa et al. 10.1002/adc2.80
- Wind farm power optimization through wake steering M. Howland et al. 10.1073/pnas.1903680116
- Uncertainty and Global Sensitivity Analysis of Wind Turbines Fatigue in Non-ideal Conditions B. Mazetto & T. Ritto 10.1007/s42417-022-00632-7
- Optimal yaw strategy and fatigue analysis of wind turbines under the combined effects of wake and yaw control R. He et al. 10.1016/j.apenergy.2023.120878
- Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations N. Bempedelis et al. 10.5194/wes-9-869-2024
- Reliability‐based layout optimization in offshore wind energy systems C. Clark et al. 10.1002/we.2664
- Deep analysis of power regulation on fatigue loads and platform motion in floating wind turbines X. Yuan et al. 10.1016/j.oceaneng.2024.119667
- Further Study on the Effects of Wind Turbine Yaw Operation for Aiding Active Wake Management J. Dai et al. 10.3390/app10061978
- Control Co-Design of Wind Turbines L. Pao et al. 10.1146/annurev-control-061423-101708
- Detecting abnormal small-scale events by nacelle lidar at the AD8-180 prototype turbine P. Meyer et al. 10.1088/1742-6596/2767/4/042035
- Experimental study of the effective parameters on the offshore wind turbine's airfoil in pitching case A. Mamouri et al. 10.1016/j.oceaneng.2020.106955
- Catch the wind: Optimizing wind turbine power generation by addressing wind veer effects L. Gao et al. 10.1093/pnasnexus/pgae480
- Time-domain fatigue damage assessment for wind turbine tower bolts under yaw optimization control at offshore wind farm T. Tao et al. 10.1016/j.oceaneng.2024.117706
- OPTIMAL YAW CONTROL OF A WIND FARM BASED ON COMPUTATIONAL FLUID DYNAMICS T. Kim et al. 10.6112/kscfe.2024.29.2.074
- Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes M. Bromm et al. 10.1002/we.2210
- Investigating the impact of atmospheric conditions on wake-steering performance at a commercial wind plant E. Simley et al. 10.1088/1742-6596/2265/3/032097
- Fatigue Load Minimization for a Position-Controlled Floating Offshore Wind Turbine B. Saunders & R. Nagamune 10.3390/jmse11122274
- Analytical model for the power production of a yaw-misaligned wind turbine J. Lu et al. 10.1063/5.0174267
- Optimal yaw strategy for optimized power and load in various wake situations A. Urbán et al. 10.1088/1742-6596/1102/1/012019
- Collective wind farm operation based on a predictive model increases utility-scale energy production M. Howland et al. 10.1038/s41560-022-01085-8
- Optimizing Wind Farm Efficiency through Active Yaw Control: A Neural Network-Aided Game Theory Approach H. Abedi et al. 10.1088/1742-6596/2767/9/092020
- Experimental analysis of co-rotating and counter-rotating tandem horizontal-axis wind turbine performance and wake dynamics P. Bayron et al. 10.1016/j.jweia.2024.105840
- Sensitivity analysis of mesoscale simulations to physics parameterizations over the Belgian North Sea using Weather Research and Forecasting – Advanced Research WRF (WRF-ARW) A. Vemuri et al. 10.5194/wes-7-1869-2022
- Wind tunnel study on power output and yaw moments for two yaw-controlled model wind turbines J. Bartl et al. 10.5194/wes-3-489-2018
- Fast yaw optimization for wind plant wake steering using Boolean yaw angles A. Stanley et al. 10.5194/wes-7-741-2022
- LSTM-NN Yaw Control of Wind Turbines Based on Upstream Wind Information W. Chen et al. 10.3390/en13061482
- Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
- Predicting the benefit of wake steering on the annual energy production of a wind farm using large eddy simulations and Gaussian process regression D. Hoek et al. 10.1088/1742-6596/1618/2/022024
- Wake steering optimization under uncertainty J. Quick et al. 10.5194/wes-5-413-2020
- Joint Optimization of Production and Maintenance in Offshore Wind Farms: Balancing the Short- and Long-Term Needs of Wind Energy Operation P. Papadopoulos et al. 10.1109/TSTE.2023.3308473
- Field experiment for open-loop yaw-based wake steering at a commercial onshore wind farm in Italy B. Doekemeijer et al. 10.5194/wes-6-159-2021
- Quantitative evaluation of yaw-misalignment and aerodynamic wake induced fatigue loads of offshore Wind turbines J. Sun et al. 10.1016/j.renene.2022.08.137
Latest update: 23 Nov 2024
Short summary
The paper discusses load effects on wind turbines operating under misaligned-flow operations, which is part of a strategy to optimize wind-power-plant power production, where upwind turbines can be rotated off the wind axis to redirect their wakes. Analytical simplification, aeroelastic simulations, and field data from an instrumented turbine are compared and interpreted to provide an informed picture on the loads for various components.
The paper discusses load effects on wind turbines operating under misaligned-flow operations,...
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