Articles | Volume 7, issue 3
https://doi.org/10.5194/wes-7-1241-2022
© Author(s) 2022. 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-7-1241-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jun 2022
Research article |
| 20 Jun 2022
| 20 Jun 2022
Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling
Beatriz Cañadillas
CORRESPONDING AUTHOR
Institute of Flight Guidance, Technische Universität Braunschweig, Braunschweig, Germany
Renewables, UL International GmbH, Oldenburg, Germany
Maximilian Beckenbauer
Institute of Flight Guidance, Technische Universität Braunschweig, Braunschweig, Germany
Juan J. Trujillo
Renewables, UL International GmbH, Oldenburg, Germany
Martin Dörenkämper
Fraunhofer Institute for Wind Energy Systems, Oldenburg, Germany
Richard Foreman
Renewables, UL International GmbH, Oldenburg, Germany
Thomas Neumann
Renewables, UL International GmbH, Oldenburg, Germany
Astrid Lampert
Institute of Flight Guidance, Technische Universität Braunschweig, Braunschweig, Germany
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Cited
14 citations as recorded by crossref.
- Power Production, Inter- and Intra-Array Wake Losses from the U.S. East Coast Offshore Wind Energy Lease Areas S. Pryor & R. Barthelmie 10.3390/en17051063
- Statistics of Wind Farm Wakes for Different Layouts and Ground Roughness Z. Wang et al. 10.1007/s10546-023-00814-0
- Wind shadows impact planning of large offshore wind farms S. Pryor & R. Barthelmie 10.1016/j.apenergy.2024.122755
- Multiscale analysis of a very long wind turbine wake in an atmospheric boundary layer F. Zhang et al. 10.1103/PhysRevFluids.8.104605
- Gone with the wind? Wind farm-induced wakes and regulatory gaps E. Finserås et al. 10.1016/j.marpol.2023.105897
- Numerical Investigations of Precise Wind Field in Main Landing Area during the Landing Phase of “Shen Zhou” Series Spacecraft Mission Y. Song et al. 10.3390/aerospace10010037
- Detection of Atmospheric Wind Speed by Lidar Based on Quadrichannel Mach–Zehnder Interferometer J. Li et al. 10.3390/photonics10070726
- Power quality assessment in different wind power plant models considering wind turbine wake effects M. Khatamiaghda et al. 10.1093/ce/zkad033
- An investigation of spatial wind direction variability and its consideration in engineering models A. von Brandis et al. 10.5194/wes-8-589-2023
- Mesoscale impact of the sea surface on the performance of offshore wind farms C. Wu et al. 10.1016/j.jclepro.2022.133741
- Revealing inflow and wake conditions of a 6 MW floating turbine N. Angelou et al. 10.5194/wes-8-1511-2023
- Study of aerodynamic performance and wake effects for offshore wind farm cluster J. Cao et al. 10.1016/j.oceaneng.2023.114639
- The Atmospheric Stability Dependence of Far Wakes on the Power Output of Downstream Wind Farms R. Foreman et al. 10.3390/en17020488
- Triple-lidar measurements of wind across a virtual rotor plane over a sea surface M. Nafisifard et al. 10.1088/1742-6596/2626/1/012022
14 citations as recorded by crossref.
- Power Production, Inter- and Intra-Array Wake Losses from the U.S. East Coast Offshore Wind Energy Lease Areas S. Pryor & R. Barthelmie 10.3390/en17051063
- Statistics of Wind Farm Wakes for Different Layouts and Ground Roughness Z. Wang et al. 10.1007/s10546-023-00814-0
- Wind shadows impact planning of large offshore wind farms S. Pryor & R. Barthelmie 10.1016/j.apenergy.2024.122755
- Multiscale analysis of a very long wind turbine wake in an atmospheric boundary layer F. Zhang et al. 10.1103/PhysRevFluids.8.104605
- Gone with the wind? Wind farm-induced wakes and regulatory gaps E. Finserås et al. 10.1016/j.marpol.2023.105897
- Numerical Investigations of Precise Wind Field in Main Landing Area during the Landing Phase of “Shen Zhou” Series Spacecraft Mission Y. Song et al. 10.3390/aerospace10010037
- Detection of Atmospheric Wind Speed by Lidar Based on Quadrichannel Mach–Zehnder Interferometer J. Li et al. 10.3390/photonics10070726
- Power quality assessment in different wind power plant models considering wind turbine wake effects M. Khatamiaghda et al. 10.1093/ce/zkad033
- An investigation of spatial wind direction variability and its consideration in engineering models A. von Brandis et al. 10.5194/wes-8-589-2023
- Mesoscale impact of the sea surface on the performance of offshore wind farms C. Wu et al. 10.1016/j.jclepro.2022.133741
- Revealing inflow and wake conditions of a 6 MW floating turbine N. Angelou et al. 10.5194/wes-8-1511-2023
- Study of aerodynamic performance and wake effects for offshore wind farm cluster J. Cao et al. 10.1016/j.oceaneng.2023.114639
- The Atmospheric Stability Dependence of Far Wakes on the Power Output of Downstream Wind Farms R. Foreman et al. 10.3390/en17020488
- Triple-lidar measurements of wind across a virtual rotor plane over a sea surface M. Nafisifard et al. 10.1088/1742-6596/2626/1/012022
Latest update: 18 Apr 2024
Short summary
Scanning lidar measurements combined with meteorological sensors and mesoscale simulations reveal the strong directional and stability dependence of the wake strength in the direct vicinity of wind farm clusters.
Scanning lidar measurements combined with meteorological sensors and mesoscale simulations...
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