Articles | Volume 4, issue 3
https://doi.org/10.5194/wes-4-385-2019
© 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-4-385-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Jul 2019
Research article |
| 09 Jul 2019
| 09 Jul 2019
Detection and characterization of extreme wind speed ramps
DTU Wind Energy Dept., Technical University of Denmark, Roskilde, Denmark
Mark Kelly
DTU Wind Energy Dept., Technical University of Denmark, Roskilde, Denmark
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Cited
25 citations as recorded by crossref.
- Wind direction variability and simplified modeling of multiple hazardous extreme wind events from field measurements S. Wang et al. https://doi.org/10.1016/j.buildenv.2026.114665
- Allocation of Spinning Reserves in Autonomous Grids Considering Frequency Stability Constraints and Short-Term Solar Power Variations E. Alves et al. https://doi.org/10.1109/ACCESS.2023.3261805
- Extreme coherent gusts with direction change – probabilistic model, yaw control, and wind turbine loads Á. Hannesdóttir et al. https://doi.org/10.5194/wes-8-231-2023
- Probabilistic Design Methods for Gust-Based Loads on Wind Turbines K. Abhinav et al. https://doi.org/10.3390/en17071518
- Extreme turbulence effects on wind turbine loads: A case study for the North China Plain using nacelle lidar F. Guo et al. https://doi.org/10.1016/j.renene.2026.125774
- Extreme Operating Gusts Detection and Their Effects on Back-to-Back Converter Reliability in Small Wind Turbines E. Dueñas-Reyes et al. https://doi.org/10.1109/ACCESS.2025.3621584
- Characteristics of extreme wind ramps observed from a fleet of turbines A. Patel et al. https://doi.org/10.1088/1742-6596/3224/2/022005
- Gust-detection from velocity azimuth display Doppler wind lidar profiling at the WiValdi research park. N. Wildmann et al. https://doi.org/10.1088/1742-6596/2767/9/092076
- Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain J. Yan et al. https://doi.org/10.1016/j.rser.2022.112519
- Detection and Prediction of Wind and Solar Photovoltaic Power Ramp Events Based on Data-Driven Methods: A Critical Review J. Zhang et al. https://doi.org/10.3390/en18133290
- Evaluating wind speed and power forecasts for wind energy applications using an open-source and systematic validation framework J. Lee et al. https://doi.org/10.1016/j.renene.2022.09.111
- Fleet-wide analytics on field data targeting condition and lifetime aspects of wind turbine drivetrains P. Daems et al. https://doi.org/10.1007/s10010-023-00643-0
- Atmospheric condition identification in multivariate data through a metric for total variation N. Hamilton https://doi.org/10.5194/amt-13-1019-2020
- Modeling extreme weather events for offshore wind in the North Sea: a sensitivity analysis to physics parameterizations in WRF A. Vemuri et al. https://doi.org/10.1088/1742-6596/2265/2/022014
- Flow acceleration statistics: a new paradigm for wind-driven loads, towards probabilistic turbine design M. Kelly https://doi.org/10.5194/wes-10-535-2025
- Østerild: A natural laboratory for atmospheric turbulence A. Peña https://doi.org/10.1063/1.5121486
- LiDAR-based detection of wind gusts: An experimental study of gust propagation speed and impact on wind power ramps M. Pichault et al. https://doi.org/10.1016/j.jweia.2021.104864
- 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. https://doi.org/10.5194/wes-7-1869-2022
- Characterisation of intra-hourly wind power ramps at the wind farm scale and associated processes M. Pichault et al. https://doi.org/10.5194/wes-6-131-2021
- A perspective on lessons learned and future needs for wind energy field campaigns N. Bodini et al. https://doi.org/10.1063/5.0252362
- Statistical impact of wind-speed ramp events on turbines, via observations and coupled fluid-dynamic and aeroelastic simulations M. Kelly et al. https://doi.org/10.5194/wes-6-1227-2021
- Evaluating Wind Speed and Power Forecasts for Wind Energy Applications Using an Open-Source and Systematic Validation Framework J. Lee et al. https://doi.org/10.2139/ssrn.4064500
- Features extraction of wind ramp events from a virtual wind park S. Mishra et al. https://doi.org/10.1016/j.egyr.2020.08.047
- A simple methodology to detect and quantify wind power ramps B. Cheneka et al. https://doi.org/10.5194/wes-5-1731-2020
- How long can constant wind speed periods last in the turbulent atmospheric boundary layer? D. Moreno et al. https://doi.org/10.1088/1742-6596/2265/2/022036
25 citations as recorded by crossref.
- Wind direction variability and simplified modeling of multiple hazardous extreme wind events from field measurements S. Wang et al. https://doi.org/10.1016/j.buildenv.2026.114665
- Allocation of Spinning Reserves in Autonomous Grids Considering Frequency Stability Constraints and Short-Term Solar Power Variations E. Alves et al. https://doi.org/10.1109/ACCESS.2023.3261805
- Extreme coherent gusts with direction change – probabilistic model, yaw control, and wind turbine loads Á. Hannesdóttir et al. https://doi.org/10.5194/wes-8-231-2023
- Probabilistic Design Methods for Gust-Based Loads on Wind Turbines K. Abhinav et al. https://doi.org/10.3390/en17071518
- Extreme turbulence effects on wind turbine loads: A case study for the North China Plain using nacelle lidar F. Guo et al. https://doi.org/10.1016/j.renene.2026.125774
- Extreme Operating Gusts Detection and Their Effects on Back-to-Back Converter Reliability in Small Wind Turbines E. Dueñas-Reyes et al. https://doi.org/10.1109/ACCESS.2025.3621584
- Characteristics of extreme wind ramps observed from a fleet of turbines A. Patel et al. https://doi.org/10.1088/1742-6596/3224/2/022005
- Gust-detection from velocity azimuth display Doppler wind lidar profiling at the WiValdi research park. N. Wildmann et al. https://doi.org/10.1088/1742-6596/2767/9/092076
- Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain J. Yan et al. https://doi.org/10.1016/j.rser.2022.112519
- Detection and Prediction of Wind and Solar Photovoltaic Power Ramp Events Based on Data-Driven Methods: A Critical Review J. Zhang et al. https://doi.org/10.3390/en18133290
- Evaluating wind speed and power forecasts for wind energy applications using an open-source and systematic validation framework J. Lee et al. https://doi.org/10.1016/j.renene.2022.09.111
- Fleet-wide analytics on field data targeting condition and lifetime aspects of wind turbine drivetrains P. Daems et al. https://doi.org/10.1007/s10010-023-00643-0
- Atmospheric condition identification in multivariate data through a metric for total variation N. Hamilton https://doi.org/10.5194/amt-13-1019-2020
- Modeling extreme weather events for offshore wind in the North Sea: a sensitivity analysis to physics parameterizations in WRF A. Vemuri et al. https://doi.org/10.1088/1742-6596/2265/2/022014
- Flow acceleration statistics: a new paradigm for wind-driven loads, towards probabilistic turbine design M. Kelly https://doi.org/10.5194/wes-10-535-2025
- Østerild: A natural laboratory for atmospheric turbulence A. Peña https://doi.org/10.1063/1.5121486
- LiDAR-based detection of wind gusts: An experimental study of gust propagation speed and impact on wind power ramps M. Pichault et al. https://doi.org/10.1016/j.jweia.2021.104864
- 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. https://doi.org/10.5194/wes-7-1869-2022
- Characterisation of intra-hourly wind power ramps at the wind farm scale and associated processes M. Pichault et al. https://doi.org/10.5194/wes-6-131-2021
- A perspective on lessons learned and future needs for wind energy field campaigns N. Bodini et al. https://doi.org/10.1063/5.0252362
- Statistical impact of wind-speed ramp events on turbines, via observations and coupled fluid-dynamic and aeroelastic simulations M. Kelly et al. https://doi.org/10.5194/wes-6-1227-2021
- Evaluating Wind Speed and Power Forecasts for Wind Energy Applications Using an Open-Source and Systematic Validation Framework J. Lee et al. https://doi.org/10.2139/ssrn.4064500
- Features extraction of wind ramp events from a virtual wind park S. Mishra et al. https://doi.org/10.1016/j.egyr.2020.08.047
- A simple methodology to detect and quantify wind power ramps B. Cheneka et al. https://doi.org/10.5194/wes-5-1731-2020
- How long can constant wind speed periods last in the turbulent atmospheric boundary layer? D. Moreno et al. https://doi.org/10.1088/1742-6596/2265/2/022036
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
The wind turbine safety standard includes a coherent gust model with a wind speed increase and direction change of 10 s. With the increasing rotor size of modern wind turbines this model is criticized for being uniform across these large rotors. In this study we investigate measurements of coherent gusts with a ramp-like increase in wind speed. We define a new method for ramp detection and characterization and compare it with the coherent gust model from the wind turbine safety standard.
The wind turbine safety standard includes a coherent gust model with a wind speed increase and...
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