Articles | Volume 4, issue 2
https://doi.org/10.5194/wes-4-325-2019
© Author(s) 2019. 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-4-325-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jun 2019
Research article |
| 03 Jun 2019
| 03 Jun 2019
Extreme wind fluctuations: joint statistics, extreme turbulence, and impact on wind turbine loads
DTU Wind Energy Dept., Technical University of Denmark, Roskilde, Denmark
Mark Kelly
DTU Wind Energy Dept., Technical University of Denmark, Roskilde, Denmark
Nikolay Dimitrov
DTU Wind Energy Dept., Technical University of Denmark, Roskilde, Denmark
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Cited
20 citations as recorded by crossref.
- LES Modelling of Highly Transient Wind Speed Ramps in Wind Farms S. Andersen et al. 10.1088/1742-6596/1934/1/012015
- Environmental contours for wind-resistant bridge design in complex terrain D. Castellon et al. 10.1016/j.jweia.2022.104943
- Micro sitting of floating wind turbines in a wind farm using a multi-criteria framework H. Díaz et al. 10.1016/j.renene.2023.01.016
- Detection and characterization of extreme wind speed ramps Á. Hannesdóttir & M. Kelly 10.5194/wes-4-385-2019
- Highlighting the impact of yaw control by parsing atmospheric conditions based on total variation N. Hamilton 10.1088/1742-6596/1452/1/012006
- A benchmarking exercise for environmental contours A. Haselsteiner et al. 10.1016/j.oceaneng.2021.109504
- Measurement-driven large-eddy simulations of a diurnal cycle during a wake-steering field campaign E. Quon 10.5194/wes-9-495-2024
- Buffeting response of long-span bridges considering uncertain turbulence parameters using the environmental contour method T. Lystad et al. 10.1016/j.engstruct.2020.110575
- Extreme wind speed ramp events: A measurement-based approach for improving the modelling of ultimate loads for wind turbine design P. Ranka et al. 10.1088/1742-6596/2265/3/032042
- Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain J. Yan et al. 10.1016/j.rser.2022.112519
- Possibility of Solid Hydrometeor Growth Zone Identification Using Radar Spectrum Width S. Suh et al. 10.1007/s00376-022-1472-0
- Statistical impact of wind-speed ramp events on turbines, via observations and coupled fluid-dynamic and aeroelastic simulations M. Kelly et al. 10.5194/wes-6-1227-2021
- Retrospective de‐trending of wind site turbulence using machine learning F. Tough & E. Hart 10.1002/we.2720
- Gaussian mixture model for extreme wind turbulence estimation X. Zhang & A. Natarajan 10.5194/wes-7-2135-2022
- Extreme coherent gusts with direction change – probabilistic model, yaw control, and wind turbine loads Á. Hannesdóttir et al. 10.5194/wes-8-231-2023
- 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
- Superstatistical Wind Fields from Pointwise Atmospheric Turbulence Measurements J. Friedrich et al. 10.1103/PRXEnergy.1.023006
- Full long-term extreme buffeting response calculations using sequential Gaussian process surrogate modeling T. Lystad et al. 10.1016/j.engstruct.2023.116495
- Grand challenges in the design, manufacture, and operation of future wind turbine systems P. Veers et al. 10.5194/wes-8-1071-2023
- Wind turbine load validation using lidar‐based wind retrievals N. Dimitrov et al. 10.1002/we.2385
19 citations as recorded by crossref.
- LES Modelling of Highly Transient Wind Speed Ramps in Wind Farms S. Andersen et al. 10.1088/1742-6596/1934/1/012015
- Environmental contours for wind-resistant bridge design in complex terrain D. Castellon et al. 10.1016/j.jweia.2022.104943
- Micro sitting of floating wind turbines in a wind farm using a multi-criteria framework H. Díaz et al. 10.1016/j.renene.2023.01.016
- Detection and characterization of extreme wind speed ramps Á. Hannesdóttir & M. Kelly 10.5194/wes-4-385-2019
- Highlighting the impact of yaw control by parsing atmospheric conditions based on total variation N. Hamilton 10.1088/1742-6596/1452/1/012006
- A benchmarking exercise for environmental contours A. Haselsteiner et al. 10.1016/j.oceaneng.2021.109504
- Measurement-driven large-eddy simulations of a diurnal cycle during a wake-steering field campaign E. Quon 10.5194/wes-9-495-2024
- Buffeting response of long-span bridges considering uncertain turbulence parameters using the environmental contour method T. Lystad et al. 10.1016/j.engstruct.2020.110575
- Extreme wind speed ramp events: A measurement-based approach for improving the modelling of ultimate loads for wind turbine design P. Ranka et al. 10.1088/1742-6596/2265/3/032042
- Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain J. Yan et al. 10.1016/j.rser.2022.112519
- Possibility of Solid Hydrometeor Growth Zone Identification Using Radar Spectrum Width S. Suh et al. 10.1007/s00376-022-1472-0
- Statistical impact of wind-speed ramp events on turbines, via observations and coupled fluid-dynamic and aeroelastic simulations M. Kelly et al. 10.5194/wes-6-1227-2021
- Retrospective de‐trending of wind site turbulence using machine learning F. Tough & E. Hart 10.1002/we.2720
- Gaussian mixture model for extreme wind turbulence estimation X. Zhang & A. Natarajan 10.5194/wes-7-2135-2022
- Extreme coherent gusts with direction change – probabilistic model, yaw control, and wind turbine loads Á. Hannesdóttir et al. 10.5194/wes-8-231-2023
- 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
- Superstatistical Wind Fields from Pointwise Atmospheric Turbulence Measurements J. Friedrich et al. 10.1103/PRXEnergy.1.023006
- Full long-term extreme buffeting response calculations using sequential Gaussian process surrogate modeling T. Lystad et al. 10.1016/j.engstruct.2023.116495
- Grand challenges in the design, manufacture, and operation of future wind turbine systems P. Veers et al. 10.5194/wes-8-1071-2023
1 citations as recorded by crossref.
Latest update: 19 Apr 2024
Short summary
We investigate large wind speed fluctuations from a 10-year period at the Danish coastal site Høvsøre. The most extreme fluctuations are not turbulent but due to larger-scale weather phenomena. We find how these fluctuations impact wind turbines using simulations. The results are then compared to an extreme turbulence model described in the wind turbine safety standards, and it is found that the loads on the different turbine components are not the same as what the standard describes.
We investigate large wind speed fluctuations from a 10-year period at the Danish coastal site...
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