Articles | Volume 10, issue 2
https://doi.org/10.5194/wes-10-347-2025
https://doi.org/10.5194/wes-10-347-2025
Research article
 | 
03 Feb 2025
Research article |  | 03 Feb 2025

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

Related authors

From the center of wind pressure to loads on the wind turbine: A stochastic approach for the reconstruction of load signals
Daniela Moreno, Jan Friedrich, Carsten Schubert, Matthias Wächter, Jörg Schwarte, Gritt Pokriefke, Günter Radons, and Joachim Peinke
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2025-78,https://doi.org/10.5194/wes-2025-78, 2025
Preprint under review for WES
Short summary
Introduction of the Virtual Center of Wind Pressure for correlating large-scale turbulent structures and wind turbine loads
Carsten Schubert, Daniela Moreno, Jörg Schwarte, Jan Friedrich, Matthias Wächter, Gritt Pokriefke, Günter Radons, and Joachim Peinke
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2025-28,https://doi.org/10.5194/wes-2025-28, 2025
Preprint under review for WES
Short summary
Applying a random time mapping to Mann-modeled turbulence for the generation of intermittent wind fields
Khaled Yassin, Arne Helms, Daniela Moreno, Hassan Kassem, Leo Höning, and Laura J. Lukassen
Wind Energ. Sci., 8, 1133–1152, https://doi.org/10.5194/wes-8-1133-2023,https://doi.org/10.5194/wes-8-1133-2023, 2023
Short summary

Related subject area

Thematic area: Wind and the atmosphere | Topic: Wind and turbulence
Swell impacts on an offshore wind farm in stable boundary layer: wake flow and energy budget analysis
Xu Ning and Mostafa Bakhoday-Paskyabi
Wind Energ. Sci., 10, 1101–1122, https://doi.org/10.5194/wes-10-1101-2025,https://doi.org/10.5194/wes-10-1101-2025, 2025
Short summary
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
Three-year database of atmospheric measurements combined with associated operating parameters from a wind farm of 2MW turbines and rotor geometry
Caroline Braud, Pascal Keravec, Ingrid Neunaber, Sandrine Aubrun, Jean-Luc Attie, Pierre Durand, Philippe Ricaud, Jean-François Georgis, Emmanuel Leclerc, Lise Mourre, and Claire Taymans
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2025-12,https://doi.org/10.5194/wes-2025-12, 2025
Preprint under review for WES
Short summary

Cited articles

Abhinav, K. A., Sørensen, J. D., Hammerum, K., and Nielsen, J. S.: Probabilistic Design Methods for Gust-Based Loads on Wind Turbines, Energies, 17, 1518, https://doi.org/10.3390/en17071518, 2024. a
Cava, D. and Katul, G.: The Effects of Thermal Stratification on Clustering Properties of Canopy Turbulence, Bound.-Lay. Meteorol., 130, 307–325, https://doi.org/10.1007/s10546-008-9342-6, 2009. a
Cava, D., Katul, G., Molini, A., and Elefante, C.: The role of surface characteristics on intermittency and zero-crossing properties of atmospheric turbulence, J. Geophys. Res.-Atmos., 117, D01104, https://doi.org/10.1029/2011JD016167, 2012. a
Chamecki, M.: Persistence of velocity fluctuations in non-Gaussian turbulence within and above plant canopies, Phys. Fluids, 25, 115110, https://doi.org/10.1063/1.4832955, 2013. a
Chowdhuri, S., Kalmár-Nagy, T., and Banerjee, T.: Persistence analysis of velocity and temperature fluctuations in convective surface layer turbulence, Phys. Fluids, 32, 076601, https://doi.org/10.1063/5.0013911, 2020. a
Download
Short summary
Unexpected load events measured on operating wind turbines are not accurately predicted by numerical simulations. We introduce the periods of constant wind speed as a possible cause of such events. We measure and characterize their statistics from atmospheric data. Further comparisons to standard modelled data and experimental turbulence data suggest that such events are not intrinsic to small-scale turbulence and are not accurately described by current standard wind models.
Share
Altmetrics
Final-revised paper
Preprint