Articles | Volume 5, issue 3
https://doi.org/10.5194/wes-5-1169-2020
© Author(s) 2020. 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-5-1169-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Sep 2020
Research article |
| 11 Sep 2020
| 11 Sep 2020
How wind speed shear and directional veer affect the power production of a megawatt-scale operational wind turbine
Department of Atmospheric Sciences, University of Washington, 408 ATG, Seattle, WA 98195-1640, USA
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, 20 UCB, Boulder, CO 80309, USA
National Wind Technology Center, National Renewable Energy Laboratory, Golden, CO 80401, USA
Julie K. Lundquist
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, 20 UCB, Boulder, CO 80309, USA
National Wind Technology Center, National Renewable Energy Laboratory, Golden, CO 80401, USA
Paul Fleming
National Wind Technology Center, National Renewable Energy Laboratory, Golden, CO 80401, USA
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Total article views: 3,170 (including HTML, PDF, and XML)
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Cited
23 citations as recorded by crossref.
- Improvement of wind power prediction from meteorological characterization with machine learning models C. Sasser et al. 10.1016/j.renene.2021.10.034
- Validation of near‐shore wind measurements using a dual scanning light detection and ranging system S. Shimada et al. 10.1002/we.2757
- Spatiotemporal observations of nocturnal low-level jets and impacts on wind power production E. Weide Luiz & S. Fiedler 10.5194/wes-7-1575-2022
- From shear to veer: theory, statistics, and practical application M. Kelly & M. van der Laan 10.5194/wes-8-975-2023
- Offshore wind energy forecasting sensitivity to sea surface temperature input in the Mid-Atlantic S. Redfern et al. 10.5194/wes-8-1-2023
- Wind power variation by wind veer characteristics with two wind farms U. Tumenbayar & K. Ko 10.1038/s41598-023-37957-6
- Wind inflow observation from load harmonics: initial steps towards a field validation M. Bertelè et al. 10.5194/wes-6-759-2021
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Extreme wind shear events in US offshore wind energy areas and the role of induced stratification M. Debnath et al. 10.5194/wes-6-1043-2021
- Characterization of wind speed and directional shear at the AWAKEN field campaign site M. Debnath et al. 10.1063/5.0139737
- How generalizable is a machine-learning approach for modeling hub-height turbulence intensity? N. Bodini et al. 10.1088/1742-6596/2265/2/022028
- Assessment of urban wind energy resource in Hong Kong based on multi-instrument observations J. He et al. 10.1016/j.rser.2023.114123
- Scientific challenges to characterizing the wind resource in the marine atmospheric boundary layer W. Shaw et al. 10.5194/wes-7-2307-2022
- Computational fluid dynamics studies on wind turbine interactions with the turbulent local flow field influenced by complex topography and thermal stratification P. Letzgus et al. 10.5194/wes-7-1551-2022
- An Effect of Wind Veer on Wind Turbine Performance U. Tumenbayar & K. Ko 10.14710/ijred.2023.47905
- Investigation of wind veer characteristics on complex terrain using ground-based lidar U. Tumenbayar & K. Ko 10.14710/ijred.2023.56352
- Characteristics of Wind Turbine Power Production Variation with Wind Veer Direction Using Nacelle Lidar measurements U. Tumenbayar et al. 10.9726/kspse.2024.28.1.062
- Analysis of Vertical Wind Shear Effects on Offshore Wind Energy Prediction Accuracy Applying Rotor Equivalent Wind Speed and the Relationship with Atmospheric Stability G. Ryu et al. 10.3390/app12146949
- Nonparametric copula modeling of wind speed-wind shear for the assessment of height-dependent wind energy in China Q. Han et al. 10.1016/j.rser.2022.112319
- Impacts of wind field characteristics and non-steady deterministic wind events on time-varying main-bearing loads E. Hart et al. 10.5194/wes-7-1209-2022
- Field testing of a local wind inflow estimator and wake detector J. Schreiber et al. 10.5194/wes-5-867-2020
- Validating CFD Predictions of Flow over an Escarpment Using Ground-Based and Airborne Measurement Devices A. El Bahlouli et al. 10.3390/en13184688
- 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
20 citations as recorded by crossref.
- Improvement of wind power prediction from meteorological characterization with machine learning models C. Sasser et al. 10.1016/j.renene.2021.10.034
- Validation of near‐shore wind measurements using a dual scanning light detection and ranging system S. Shimada et al. 10.1002/we.2757
- Spatiotemporal observations of nocturnal low-level jets and impacts on wind power production E. Weide Luiz & S. Fiedler 10.5194/wes-7-1575-2022
- From shear to veer: theory, statistics, and practical application M. Kelly & M. van der Laan 10.5194/wes-8-975-2023
- Offshore wind energy forecasting sensitivity to sea surface temperature input in the Mid-Atlantic S. Redfern et al. 10.5194/wes-8-1-2023
- Wind power variation by wind veer characteristics with two wind farms U. Tumenbayar & K. Ko 10.1038/s41598-023-37957-6
- Wind inflow observation from load harmonics: initial steps towards a field validation M. Bertelè et al. 10.5194/wes-6-759-2021
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Extreme wind shear events in US offshore wind energy areas and the role of induced stratification M. Debnath et al. 10.5194/wes-6-1043-2021
- Characterization of wind speed and directional shear at the AWAKEN field campaign site M. Debnath et al. 10.1063/5.0139737
- How generalizable is a machine-learning approach for modeling hub-height turbulence intensity? N. Bodini et al. 10.1088/1742-6596/2265/2/022028
- Assessment of urban wind energy resource in Hong Kong based on multi-instrument observations J. He et al. 10.1016/j.rser.2023.114123
- Scientific challenges to characterizing the wind resource in the marine atmospheric boundary layer W. Shaw et al. 10.5194/wes-7-2307-2022
- Computational fluid dynamics studies on wind turbine interactions with the turbulent local flow field influenced by complex topography and thermal stratification P. Letzgus et al. 10.5194/wes-7-1551-2022
- An Effect of Wind Veer on Wind Turbine Performance U. Tumenbayar & K. Ko 10.14710/ijred.2023.47905
- Investigation of wind veer characteristics on complex terrain using ground-based lidar U. Tumenbayar & K. Ko 10.14710/ijred.2023.56352
- Characteristics of Wind Turbine Power Production Variation with Wind Veer Direction Using Nacelle Lidar measurements U. Tumenbayar et al. 10.9726/kspse.2024.28.1.062
- Analysis of Vertical Wind Shear Effects on Offshore Wind Energy Prediction Accuracy Applying Rotor Equivalent Wind Speed and the Relationship with Atmospheric Stability G. Ryu et al. 10.3390/app12146949
- Nonparametric copula modeling of wind speed-wind shear for the assessment of height-dependent wind energy in China Q. Han et al. 10.1016/j.rser.2022.112319
- Impacts of wind field characteristics and non-steady deterministic wind events on time-varying main-bearing loads E. Hart et al. 10.5194/wes-7-1209-2022
3 citations as recorded by crossref.
- Field testing of a local wind inflow estimator and wake detector J. Schreiber et al. 10.5194/wes-5-867-2020
- Validating CFD Predictions of Flow over an Escarpment Using Ground-Based and Airborne Measurement Devices A. El Bahlouli et al. 10.3390/en13184688
- 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
Latest update: 24 Apr 2024
Short summary
We present and evaluate an improved method for predicting wind turbine power production based on measurements of the wind speed and direction profile across the rotor disk for a wind turbine in complex terrain. By comparing predictions to actual power production from a utility-scale wind turbine, we show this method is more accurate than methods based on hub-height wind speed or surface-based atmospheric characterization.
We present and evaluate an improved method for predicting wind turbine power production based on...
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