Articles | Volume 6, issue 2
https://doi.org/10.5194/wes-6-521-2021
© Author(s) 2021. 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-6-521-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Apr 2021
Research article |
| 13 Apr 2021
| 13 Apr 2021
Offshore wind farm global blockage measured with scanning lidar
ForWind, Institute of Physics, Carl von Ossietzky Universität Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Frauke Theuer
CORRESPONDING AUTHOR
ForWind, Institute of Physics, Carl von Ossietzky Universität Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Andreas Rott
ForWind, Institute of Physics, Carl von Ossietzky Universität Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Martin Dörenkämper
Fraunhofer Institute for Wind Energy Systems, Küpkersweg 70, 26129 Oldenburg, Germany
Martin Kühn
ForWind, Institute of Physics, Carl von Ossietzky Universität Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
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41 citations as recorded by crossref.
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- Investigating the physical mechanisms that modify wind plant blockage in stable boundary layers M. Sanchez Gomez et al. 10.5194/wes-8-1049-2023
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- A comprehensive procedure to process scanning lidar data for engineering wake model validation L. Hung et al. 10.1088/1742-6596/2265/2/022091
- In situ airborne measurements of atmospheric parameters and airborne sea surface properties related to offshore wind parks in the German Bight during the project X-Wakes A. Lampert et al. 10.5194/essd-16-4777-2024
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- A Study of Blockage Effects at the Wind Turbine and Wind Farm Scales M. Popescu & T. Flåtten 10.3390/en14196124
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- Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling B. Cañadillas et al. 10.5194/wes-7-1241-2022
- Alignment of scanning lidars in offshore wind farms A. Rott et al. 10.5194/wes-7-283-2022
- A case study of wind farm effects using two wake parameterizations in the Weather Research and Forecasting (WRF) model (V3.7.1) in the presence of low-level jets X. Larsén & J. Fischereit 10.5194/gmd-14-3141-2021
- Investigations of Farm-to-Farm Interactions and Blockage Effects from AWAKEN Using Large-Scale Numerical Simulations L. Cheung et al. 10.1088/1742-6596/2505/1/012023
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- Evaluation of the global-blockage effect on power performance through simulations and measurements A. Sebastiani et al. 10.5194/wes-7-875-2022
- Effects of wind shear and thrust coefficient on the induction zone of a porous disk: A wind tunnel study W. Ahmed & G. Iungo 10.1002/we.2910
- Virtual tower measurements during the American WAKE ExperimeNt (AWAKEN) R. Newsom et al. 10.1063/5.0206844
- LiDAR Measurements to Investigate Farm-to-Farm Interactions at the AWAKEN Experiment M. Puccioni et al. 10.1088/1742-6596/2505/1/012045
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- Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
- Pseudo-2D RANS: A LiDAR-driven mid-fidelity model for simulations of wind farm flows S. Letizia & G. Iungo 10.1063/5.0076739
- The sensitivity of the Fitch wind farm parameterization to a three-dimensional planetary boundary layer scheme A. Rybchuk et al. 10.5194/wes-7-2085-2022
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Latest update: 23 Nov 2024
Short summary
A wind farm can reduce the wind speed in front of it just by its presence and thus also slightly impact the available power. In our study we investigate this so-called global-blockage effect, measuring the inflow of a large offshore wind farm with a laser-based remote sensing method up to several kilometres in front of the farm. Our results show global blockage under a certain atmospheric condition and operational state of the wind farm; during other conditions it is not visible in our data.
A wind farm can reduce the wind speed in front of it just by its presence and thus also slightly...
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