Articles | Volume 5, issue 1
https://doi.org/10.5194/wes-5-125-2020
© 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-5-125-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jan 2020
Research article |
| 20 Jan 2020
| 20 Jan 2020
The effect of wind direction shear on turbine performance in a wind farm in central Iowa
Miguel Sanchez Gomez
CORRESPONDING AUTHOR
Department of Mechanical Engineering, University of Colorado Boulder, Boulder, 80303, USA
Julie K. Lundquist
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, 80303, USA
National Renewable Energy Laboratory, Golden, 80401, USA
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Cited
33 citations as recorded by crossref.
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- Nonparametric versus parametric (both unimodal and mixed) probability distribution in hourly wind speed modelling for some regions of Tamil Nadu state in India N. Natarajan & S. Latif 10.1007/s00477-023-02587-x
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- 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
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Effect of wind veer on wind turbine power generation L. Gao et al. 10.1063/5.0033826
- 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
- A wind farm consisting of two turbines - The combined influence of turbine spacing and rotational direction A. Englberger & A. Dörnbrack 10.1088/1742-6596/2767/9/092070
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- Turbulence in a coastal environment: the case of Vindeby R. Putri et al. 10.5194/wes-7-1693-2022
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- Optimal closed-loop wake steering – Part 2: Diurnal cycle atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-7-345-2022
- A power storage system planning model for the Wolfe Island wind farm F. Rao & Z. Li 10.1139/tcsme-2023-0016
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- Spatiotemporal variation of power law exponent on the use of wind energy X. Yang et al. 10.1016/j.apenergy.2023.122441
- How wind speed shear and directional veer affect the power production of a megawatt-scale operational wind turbine P. Murphy et al. 10.5194/wes-5-1169-2020
- Changing the rotational direction of a wind turbine under veering inflow: a parameter study A. Englberger et al. 10.5194/wes-5-1623-2020
- Modeling the effect of wind speed and direction shear on utility‐scale wind turbine power production S. Mata et al. 10.1002/we.2917
- Enhancing wind direction prediction of South Africa wind energy hotspots with Bayesian mixture modeling N. Rad et al. 10.1038/s41598-022-14383-8
32 citations as recorded by crossref.
- Catch the wind: Optimizing wind turbine power generation by addressing wind veer effects L. Gao et al. 10.1093/pnasnexus/pgae480
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 2: Applications to lidar measurements of wind turbine wakes S. Letizia et al. 10.5194/amt-14-2095-2021
- Unfrozen Skewed Turbulence for Wind Loading on Structures E. Cheynet et al. 10.3390/app12199537
- Correlations of power output fluctuations in an offshore wind farm using high-resolution SCADA data J. Seifert et al. 10.5194/wes-6-997-2021
- Temporal dynamics of energy production at the Taïba Ndiaye wind farm in Senegal S. Niang et al. 10.1007/s43937-023-00018-0
- How does the rotational direction of an upwind turbine affect its downwind neighbour? A. Englberger et al. 10.1088/1742-6596/2265/2/022048
- Nonparametric versus parametric (both unimodal and mixed) probability distribution in hourly wind speed modelling for some regions of Tamil Nadu state in India N. Natarajan & S. Latif 10.1007/s00477-023-02587-x
- Power curve performance of coastal turbines subject to low turbulence intensity offshore winds Y. Sakagami et al. 10.1007/s40430-022-03942-9
- Does the rotational direction of a wind turbine impact the wake in a stably stratified atmospheric boundary layer? A. Englberger et al. 10.5194/wes-5-1359-2020
- Evaluation of wind resource uncertainty on energy production estimates for offshore wind farms K. Klemmer et al. 10.1063/5.0166830
- 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
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Effect of wind veer on wind turbine power generation L. Gao et al. 10.1063/5.0033826
- 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
- A wind farm consisting of two turbines - The combined influence of turbine spacing and rotational direction A. Englberger & A. Dörnbrack 10.1088/1742-6596/2767/9/092070
- Wind Fields in Category 1–3 Tropical Cyclones Are Not Fully Represented in Wind Turbine Design Standards M. Sanchez Gomez et al. 10.1029/2023JD039233
- An Effect of Wind Veer on Wind Turbine Performance U. Tumenbayar & K. Ko 10.14710/ijred.2023.47905
- Simulated wind farm wake sensitivity to configuration choices in the Weather Research and Forecasting model version 3.8.1 J. Tomaszewski & J. Lundquist 10.5194/gmd-13-2645-2020
- Augmenting insights from wind turbine data through data-driven approaches C. Moss et al. 10.1016/j.apenergy.2024.124116
- The Potential of Wind Energy and Design Implications on Wind Farms in Saudi Arabia M. Naqash et al. 10.14710/ijred.2021.38238
- Influence of Wake Model Superposition and Secondary Steering on Model-Based Wake Steering Control with SCADA Data Assimilation M. Howland & J. Dabiri 10.3390/en14010052
- Analysis of the Wind Turbine Selection for the Given Wind Conditions W. Kuczyński et al. 10.3390/en14227740
- Impact of atmospheric stability, wake effect and topography on power production at complex-terrain wind farm F. Pacheco de Sá Sarmiento et al. 10.1016/j.energy.2021.122211
- Turbulence in a coastal environment: the case of Vindeby R. Putri et al. 10.5194/wes-7-1693-2022
- Wind power variation by wind veer characteristics with two wind farms U. Tumenbayar & K. Ko 10.1038/s41598-023-37957-6
- Optimal closed-loop wake steering – Part 2: Diurnal cycle atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-7-345-2022
- A power storage system planning model for the Wolfe Island wind farm F. Rao & Z. Li 10.1139/tcsme-2023-0016
- Investigation of wind veer characteristics on complex terrain using ground-based lidar U. Tumenbayar & K. Ko 10.14710/ijred.2023.56352
- Spatiotemporal variation of power law exponent on the use of wind energy X. Yang et al. 10.1016/j.apenergy.2023.122441
- How wind speed shear and directional veer affect the power production of a megawatt-scale operational wind turbine P. Murphy et al. 10.5194/wes-5-1169-2020
- Changing the rotational direction of a wind turbine under veering inflow: a parameter study A. Englberger et al. 10.5194/wes-5-1623-2020
- Modeling the effect of wind speed and direction shear on utility‐scale wind turbine power production S. Mata et al. 10.1002/we.2917
1 citations as recorded by crossref.
Latest update: 14 Nov 2024
Short summary
Wind turbine performance depends on various atmospheric conditions. We quantified the effect of the change in wind direction and speed with height (direction and speed wind shear) on turbine power at a wind farm in Iowa. Turbine performance was affected during large direction shear and small speed shear conditions and favored for the opposite scenarios. These effects make direction shear significant when analyzing the influence of different atmospheric variables on turbine operation.
Wind turbine performance depends on various atmospheric conditions. We quantified the effect of...
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