Articles | Volume 8, issue 7
https://doi.org/10.5194/wes-8-1133-2023
© Author(s) 2023. 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-8-1133-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Jul 2023
Research article |
| 13 Jul 2023
| 13 Jul 2023
Applying a random time mapping to Mann-modeled turbulence for the generation of intermittent wind fields
Khaled Yassin
CORRESPONDING AUTHOR
ForWind, Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Arne Helms
Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Daniela Moreno
ForWind, Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Hassan Kassem
Fraunhofer Institute for Wind Energy Systems (Fraunhofer IWES), Küpkersweg 70, 26129 Oldenburg, Germany
Leo Höning
Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Fraunhofer Institute for Wind Energy Systems (Fraunhofer IWES), Küpkersweg 70, 26129 Oldenburg, Germany
Laura J. Lukassen
CORRESPONDING AUTHOR
ForWind, Institute of Physics, Carl von Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
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Fluctuations in the power output of wind turbines are one of the major challenges in the integration and utilisation of wind energy. By analysing the power output fluctuations of wind turbine pairs in an offshore wind farm, we show that their correlation depends on their location within the wind farm and their inflow. The main outcome is that these correlation dependencies can be characterised by statistics of the power output of the wind turbines and sorted by a clustering algorithm.
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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.
The current turbulent wind field models stated in the IEC 61400-1 standard underestimate the...
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