Articles | Volume 2, issue 1
https://doi.org/10.5194/wes-2-1-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/wes-2-1-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Jan 2017
Research article |
| 10 Jan 2017
On the impact of non-Gaussian wind statistics on wind turbines – an experimental approach
Jannik Schottler
CORRESPONDING AUTHOR
ForWind, University of Oldenburg, Institute of Physics, Küpkersweg 70, 26129 Oldenburg, Germany
Nico Reinke
ForWind, University of Oldenburg, Institute of Physics, Küpkersweg 70, 26129 Oldenburg, Germany
Agnieszka Hölling
ForWind, University of Oldenburg, Institute of Physics, Küpkersweg 70, 26129 Oldenburg, Germany
Jonathan Whale
Murdoch University, School of Engineering and Information Technology,
Murdoch, WA, 6150, Australia
Joachim Peinke
ForWind, University of Oldenburg, Institute of Physics, Küpkersweg 70, 26129 Oldenburg, Germany
Michael Hölling
ForWind, University of Oldenburg, Institute of Physics, Küpkersweg 70, 26129 Oldenburg, Germany
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25 citations as recorded by crossref.
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- Fatigue-damage prediction for ship and offshore structures under wide-banded non-Gaussian random loadings part I: Approximation of cycle distribution in wide-banded gaussian random processes H. Kim et al. 10.1016/j.apor.2020.102294
- An investigation of the impact of turbulence intermittency on the rotor loads of a small wind turbine A. KC et al. 10.1016/j.renene.2021.01.049
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- Applying a random time mapping to Mann-modeled turbulence for the generation of intermittent wind fields K. Yassin et al. 10.5194/wes-8-1133-2023
- Multi-scale/fractal processes in the wake of a wind turbine array boundary layer N. Ali et al. 10.1080/14685248.2019.1590584
- Comparing Meso-Micro Methodologies for Annual Wind Resource Assessment and Turbine Siting at Cabauw J. Rodrigo et al. 10.1088/1742-6596/1037/7/072030
- Turbulent flow characterization near the edge of a steep escarpment R. Kilpatrick et al. 10.1016/j.jweia.2021.104605
- Wind turbine load dynamics in the context of turbulence intermittency C. Schwarz et al. 10.5194/wes-4-581-2019
- Near-wake structure of full-scale vertical-axis wind turbines N. Wei et al. 10.1017/jfm.2020.578
- Deep dynamic stall and active aerodynamic modification on a S833 airfoil using pitching trailing edge flap F. Samara & D. Johnson 10.1177/0309524X20938858
- Results of the GABLS3 diurnal-cycle benchmark for wind energy applications J. Rodrigo et al. 10.1088/1742-6596/854/1/012037
- Transformation of Wind Turbine Power Curves Using the Statistics of the Wind Process B. Sweetman & S. Dai 10.1109/TSTE.2021.3078774
- Dynamic Stall on Pitching Cambered Airfoil with Phase Offset Trailing Edge Flap F. Samara & D. Johnson 10.2514/1.J059115
- Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. 10.5194/wes-3-257-2018
- Hurricane eyewall winds and structural response of wind turbines A. Kapoor et al. 10.5194/wes-5-89-2020
- The New European Wind Atlas Model Chain J. Rodrigo et al. 10.1088/1742-6596/1452/1/012087
- Wall-modeled lattice Boltzmann large-eddy simulation of neutral atmospheric boundary layers H. Asmuth et al. 10.1063/5.0065701
- Analysis and validation of Weather Research and Forecasting model tendencies for meso-to-microscale modelling of the atmospheric boundary layer R. Chávez Arroyo et al. 10.1088/1742-6596/1037/7/072012
- Extreme wind fluctuations: joint statistics, extreme turbulence, and impact on wind turbine loads Á. Hannesdóttir et al. 10.5194/wes-4-325-2019
- Urban wind conditions and small wind turbines in the built environment: A review A. KC et al. 10.1016/j.renene.2018.07.050
- Design and implementation of a controllable model wind turbine for experimental studies J. Schottler et al. 10.1088/1742-6596/753/7/072030
24 citations as recorded by crossref.
- Large-Eddy Simulation of Conditionally Neutral Boundary Layers: A Mesh Resolution Sensitivity Study J. Berg et al. 10.1175/JAS-D-19-0252.1
- Data-driven modeling of the wake behind a wind turbine array N. Ali & R. Cal 10.1063/5.0004393
- Fatigue-damage prediction for ship and offshore structures under wide-banded non-Gaussian random loadings part I: Approximation of cycle distribution in wide-banded gaussian random processes H. Kim et al. 10.1016/j.apor.2020.102294
- An investigation of the impact of turbulence intermittency on the rotor loads of a small wind turbine A. KC et al. 10.1016/j.renene.2021.01.049
- Dependence of turbulence estimations on nacelle lidar scanning strategies W. Fu et al. 10.5194/wes-8-677-2023
- Impact of turbulence level on intermittent-like events in the wake of a model wind turbine Y. Zheng et al. 10.1016/j.renene.2022.12.052
- Investigating the loads and performance of a model horizontal axis wind turbine under reproducible IEC extreme operational conditions K. Shirzadeh et al. 10.5194/wes-6-477-2021
- Applying a random time mapping to Mann-modeled turbulence for the generation of intermittent wind fields K. Yassin et al. 10.5194/wes-8-1133-2023
- Multi-scale/fractal processes in the wake of a wind turbine array boundary layer N. Ali et al. 10.1080/14685248.2019.1590584
- Comparing Meso-Micro Methodologies for Annual Wind Resource Assessment and Turbine Siting at Cabauw J. Rodrigo et al. 10.1088/1742-6596/1037/7/072030
- Turbulent flow characterization near the edge of a steep escarpment R. Kilpatrick et al. 10.1016/j.jweia.2021.104605
- Wind turbine load dynamics in the context of turbulence intermittency C. Schwarz et al. 10.5194/wes-4-581-2019
- Near-wake structure of full-scale vertical-axis wind turbines N. Wei et al. 10.1017/jfm.2020.578
- Deep dynamic stall and active aerodynamic modification on a S833 airfoil using pitching trailing edge flap F. Samara & D. Johnson 10.1177/0309524X20938858
- Results of the GABLS3 diurnal-cycle benchmark for wind energy applications J. Rodrigo et al. 10.1088/1742-6596/854/1/012037
- Transformation of Wind Turbine Power Curves Using the Statistics of the Wind Process B. Sweetman & S. Dai 10.1109/TSTE.2021.3078774
- Dynamic Stall on Pitching Cambered Airfoil with Phase Offset Trailing Edge Flap F. Samara & D. Johnson 10.2514/1.J059115
- Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. 10.5194/wes-3-257-2018
- Hurricane eyewall winds and structural response of wind turbines A. Kapoor et al. 10.5194/wes-5-89-2020
- The New European Wind Atlas Model Chain J. Rodrigo et al. 10.1088/1742-6596/1452/1/012087
- Wall-modeled lattice Boltzmann large-eddy simulation of neutral atmospheric boundary layers H. Asmuth et al. 10.1063/5.0065701
- Analysis and validation of Weather Research and Forecasting model tendencies for meso-to-microscale modelling of the atmospheric boundary layer R. Chávez Arroyo et al. 10.1088/1742-6596/1037/7/072012
- Extreme wind fluctuations: joint statistics, extreme turbulence, and impact on wind turbine loads Á. Hannesdóttir et al. 10.5194/wes-4-325-2019
- Urban wind conditions and small wind turbines in the built environment: A review A. KC et al. 10.1016/j.renene.2018.07.050
1 citations as recorded by crossref.
Latest update: 18 Apr 2024
Short summary
To what extent turbulence characteristics of wind in the atmosphere transfer to wind turbines in terms of power, loads, etc. is of great interest throughout the research community. An experimental approach using a model wind turbine at laboratory scale was used in a wind tunnel study. It is shown that the gustiness of the wind remains present in the wind turbine data, stressing the importance of including those wind characteristics in industry standards and when designing wind turbines.
To what extent turbulence characteristics of wind in the atmosphere transfer to wind turbines in...
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