Articles | Volume 8, issue 7
https://doi.org/10.5194/wes-8-1133-2023
https://doi.org/10.5194/wes-8-1133-2023
Research article
 | 
13 Jul 2023
Research article |  | 13 Jul 2023

Applying a random time mapping to Mann-modeled turbulence for the generation of intermittent wind fields

Khaled Yassin, Arne Helms, Daniela Moreno, Hassan Kassem, Leo Höning, and Laura J. Lukassen

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Cited articles

Bangga, G. and Lutz, T.: Aerodynamic modeling of wind turbine loads exposed to turbulent inflow and validation with experimental data, Energy, 223, 120076, https://doi.org/10.1016/j.energy.2021.120076, 2021. a
Berg, J., Natarajan, A., Mann, J., and Patton, E. G.: Gaussian vs non-Gaussian turbulence: impact on wind turbine loads, Wind Energy, 19, 1975–1989, 2016. a
Boettcher, F., Renner, C., Waldl, H.-P., and Peinke, J.: On the statistics of wind gusts, Bound.-Lay. Meteorol., 108, 163–173, 2003. a
Böttcher, F., Barth, S., and Peinke, J.: Small and large scale fluctuations in atmospheric wind speeds, Stoch. Env. Res. Risk A., 21, 299–308, 2007. a, b
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Short summary
The current turbulent wind field models stated in the IEC 61400-1 standard underestimate the probability of extreme changes in wind velocity. This underestimation can lead to the false calculation of extreme and fatigue loads on the turbine. In this work, we are trying to apply a random time-mapping technique to one of the standard turbulence models to adapt to such extreme changes. The turbulent fields generated are compared with a standard wind field to show the effects of this new mapping.
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