Articles | Volume 8, issue 4
Research article
26 Apr 2023
Research article |  | 26 Apr 2023

An investigation of spatial wind direction variability and its consideration in engineering models

Anna von Brandis, Gabriele Centurelli, Jonas Schmidt, Lukas Vollmer, Bughsin' Djath, and Martin Dörenkämper

Related authors

Brief communication: A simple axial induction modification to WRF’s Fitch wind farm parameterisation
Lukas Vollmer, Balthazar Arnoldus Maria Sengers, and Martin Dörenkämper
Wind Energ. Sci. Discuss.,,, 2023
Revised manuscript accepted for WES
Short summary
Impact of wind profiles on ground-generation airborne wind energy system performance
Markus Sommerfeld, Martin Dörenkämper, Jochem De Schutter, and Curran Crawford
Wind Energ. Sci., 8, 1153–1178,,, 2023
Short summary
Scaling effects of fixed-wing ground-generation airborne wind energy systems
Markus Sommerfeld, Martin Dörenkämper, Jochem De Schutter, and Curran Crawford
Wind Energ. Sci., 7, 1847–1868,,, 2022
Short summary
FarmConners wind farm flow control benchmark – Part 1: Blind test results
Tuhfe Göçmen, Filippo Campagnolo, Thomas Duc, Irene Eguinoa, Søren Juhl Andersen, Vlaho Petrović, Lejla Imširović, Robert Braunbehrens, Jaime Liew, Mads Baungaard, Maarten Paul van der Laan, Guowei Qian, Maria Aparicio-Sanchez, Rubén González-Lope, Vinit V. Dighe, Marcus Becker, Maarten J. van den Broek, Jan-Willem van Wingerden, Adam Stock, Matthew Cole, Renzo Ruisi, Ervin Bossanyi, Niklas Requate, Simon Strnad, Jonas Schmidt, Lukas Vollmer, Ishaan Sood, and Johan Meyers
Wind Energ. Sci., 7, 1791–1825,,, 2022
Short summary
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
Wind Energ. Sci., 7, 1241–1262,,, 2022
Short summary

Related subject area

Thematic area: Wind and the atmosphere | Topic: Wind and turbulence
Machine-learning-based estimate of the wind speed over complex terrain using the long short-term memory (LSTM) recurrent neural network
Cássia Maria Leme Beu and Eduardo Landulfo
Wind Energ. Sci., 9, 1431–1450,,, 2024
Short summary
Method to predict the minimum measurement and experiment durations needed to achieve converged and significant results in a wind energy field experiment
Daniel R. Houck, Nathaniel B. de Velder, David C. Maniaci, and Brent C. Houchens
Wind Energ. Sci., 9, 1189–1209,,, 2024
Short summary
Evaluation of wind farm parameterizations in the WRF model under different atmospheric stability conditions with high-resolution wake simulations
Oscar García-Santiago, Andrea N. Hahmann, Jake Badger, and Alfredo Peña
Wind Energ. Sci., 9, 963–979,,, 2024
Short summary
Renewable Energy Complementarity (RECom) maps – a comprehensive visualisation tool to support spatial diversification
Til Kristian Vrana and Harald G. Svendsen
Wind Energ. Sci., 9, 919–932,,, 2024
Short summary
Control-oriented modelling of wind direction variability
Scott Dallas, Adam Stock, and Edward Hart
Wind Energ. Sci., 9, 841–867,,, 2024
Short summary

Cited articles

Agora Energiewende: Making the Most of Offshore Wind: Re-Evaluating the Potential of Offshore Wind in the German North Sea. Re-Evaluating the Potential of Offshore Wind in the German North Sea, Tech. Rep. 176/01-S-2020/EN 36-2020-EN, Agora Energiewende, Agora Verkehrswende, Technical University of Denmark and Max-Planck-Institute for Biogeochemistry, (last access: 11 April 2023), 2020. a
Ahsbahs, T., Nygaard, N. G., Newcombe, A., and Badger, M.: Wind Farm Wakes from SAR and Doppler Radar, Remote Sens., 12, 462,, 2020. a, b
Bastankhah, M. and Porté-Agel, F.: Experimental and theoretical study of wind turbine wakes in yawed conditions, J. Fluid Mech., 806, 506–541,, 2016. a
Bott, A.: Synoptische Meteorologie, Springer, Berlin, Heidelberg,, 2016. a, b
Bundesamt für Seeschifffahrt und Hydrographie: Shape Files of the extensions of the existing wind farms in the German Bight, CONTIS Facilities,, last access: 26 November 2020. a, b
Short summary
We propose that considering large-scale wind direction changes in the computation of wind farm cluster wakes is of high relevance. Consequently, we present a new solution for engineering modeling tools that accounts for the effect of such changes in the propagation of wakes. The new model is evaluated with satellite data in the German Bight area. It has the potential to reduce uncertainty in applications such as site assessment and short-term power forecasting.
Final-revised paper