Articles | Volume 7, issue 3
https://doi.org/10.5194/wes-7-1241-2022
https://doi.org/10.5194/wes-7-1241-2022
Research article
 | 
20 Jun 2022
Research article |  | 20 Jun 2022

Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling

Beatriz Cañadillas, Maximilian Beckenbauer, Juan J. Trujillo, Martin Dörenkämper, Richard Foreman, Thomas Neumann, and Astrid Lampert

Related authors

In situ airborne measurements of atmospheric and sea surface parameters related to offshore wind parks in the German Bight
Astrid Lampert, Konrad Bärfuss, Andreas Platis, Simon Siedersleben, Bughsin Djath, Beatriz Cañadillas, Robert Hunger, Rudolf Hankers, Mark Bitter, Thomas Feuerle, Helmut Schulz, Thomas Rausch, Maik Angermann, Alexander Schwithal, Jens Bange, Johannes Schulz-Stellenfleth, Thomas Neumann, and Stefan Emeis
Earth Syst. Sci. Data, 12, 935–946, https://doi.org/10.5194/essd-12-935-2020,https://doi.org/10.5194/essd-12-935-2020, 2020
Short summary
Turbulent kinetic energy over large offshore wind farms observed and simulated by the mesoscale model WRF (3.8.1)
Simon K. Siedersleben, Andreas Platis, Julie K. Lundquist, Bughsin Djath, Astrid Lampert, Konrad Bärfuss, Beatriz Cañadillas, Johannes Schulz-Stellenfleth, Jens Bange, Tom Neumann, and Stefan Emeis
Geosci. Model Dev., 13, 249–268, https://doi.org/10.5194/gmd-13-249-2020,https://doi.org/10.5194/gmd-13-249-2020, 2020
Short summary

Related subject area

Thematic area: Wind and the atmosphere | Topic: Wind and turbulence
An analytical formulation for turbulence kinetic energy added by wind turbines based on large-eddy simulation
Ali Khanjari, Asim Feroz, and Cristina L. Archer
Wind Energ. Sci., 10, 887–905, https://doi.org/10.5194/wes-10-887-2025,https://doi.org/10.5194/wes-10-887-2025, 2025
Short summary
Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations
Etienne Cheynet, Jan Markus Diezel, Hilde Haakenstad, Øyvind Breivik, Alfredo Peña, and Joachim Reuder
Wind Energ. Sci., 10, 733–754, https://doi.org/10.5194/wes-10-733-2025,https://doi.org/10.5194/wes-10-733-2025, 2025
Short summary
Flow acceleration statistics: a new paradigm for wind-driven loads, towards probabilistic turbine design
Mark Kelly
Wind Energ. Sci., 10, 535–558, https://doi.org/10.5194/wes-10-535-2025,https://doi.org/10.5194/wes-10-535-2025, 2025
Short summary
Observations of wind farm wake recovery at an operating wind farm
Raghavendra Krishnamurthy, Rob K. Newsom, Colleen M. Kaul, Stefano Letizia, Mikhail Pekour, Nicholas Hamilton, Duli Chand, Donna Flynn, Nicola Bodini, and Patrick Moriarty
Wind Energ. Sci., 10, 361–380, https://doi.org/10.5194/wes-10-361-2025,https://doi.org/10.5194/wes-10-361-2025, 2025
Short summary
Periods of constant wind speed: how long do they last in the turbulent atmospheric boundary layer?
Daniela Moreno, Jan Friedrich, Matthias Wächter, Jörg Schwarte, and Joachim Peinke
Wind Energ. Sci., 10, 347–360, https://doi.org/10.5194/wes-10-347-2025,https://doi.org/10.5194/wes-10-347-2025, 2025
Short summary

Cited articles

Ahsbahs, T., Badger, M., Volker, P., Hansen, K. S., and Hasager, C. B.: Applications of satellite winds for the offshore wind farm site Anholt, Wind Energ. Sci., 3, 573–588, https://doi.org/10.5194/wes-3-573-2018, 2018. a
Ahsbahs, T., Nygaard, N., Newcombe, A., and Badger, M.: Wind Farm Wakes from SAR and Doppler Radar, Remote Sensing, 12, 462, https://doi.org/10.3390/rs12030462, 2020. a, b
Aitken, M. L., Banta, R. M., Pichugina, Y. L., and Lundquist, J. K.: Quantifying Wind Turbine Wake Characteristics from Scanning Remote Sensor Data, J. Atmos. Ocean. Tech., 31, 765–787, https://doi.org/10.1175/JTECH-D-13-00104.1, 2014. a
Akhtar, N., Geyer, B., Rockel, B., Sommer, P. S., and Schrum, C.: Accelerating deployment of offshore wind energy alter wind climate and reduce future power generation potentials, Sci. Rep., 11, 11826, https://doi.org/10.1038/s41598-021-91283-3, 2021. a, b
Archer, C., Wu, S., ma, Y., and Jimenez, P.: Two Corrections for Turbulent Kinetic Energy Generated by Wind Farms in the WRF Model, Mon. Weather Rev., 148, 4823–4835, https://doi.org/10.1175/MWR-D-20-0097.1, 2020. a
Download
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.
Share
Altmetrics
Final-revised paper
Preprint