Articles | Volume 5, issue 3
https://doi.org/10.5194/wes-5-867-2020
https://doi.org/10.5194/wes-5-867-2020
Research article
 | 
07 Jul 2020
Research article |  | 07 Jul 2020

Field testing of a local wind inflow estimator and wake detector

Johannes Schreiber, Carlo L. Bottasso, and Marta Bertelè

Related authors

Wind inflow observation from load harmonics: initial steps towards a field validation
Marta Bertelè, Carlo L. Bottasso, and Johannes Schreiber
Wind Energ. Sci., 6, 759–775, https://doi.org/10.5194/wes-6-759-2021,https://doi.org/10.5194/wes-6-759-2021, 2021
Short summary
Field experiment for open-loop yaw-based wake steering at a commercial onshore wind farm in Italy
Bart M. Doekemeijer, Stefan Kern, Sivateja Maturu, Stoyan Kanev, Bastian Salbert, Johannes Schreiber, Filippo Campagnolo, Carlo L. Bottasso, Simone Schuler, Friedrich Wilts, Thomas Neumann, Giancarlo Potenza, Fabio Calabretta, Federico Fioretti, and Jan-Willem van Wingerden
Wind Energ. Sci., 6, 159–176, https://doi.org/10.5194/wes-6-159-2021,https://doi.org/10.5194/wes-6-159-2021, 2021
Short summary
Wind tunnel testing of wake steering with dynamic wind direction changes
Filippo Campagnolo, Robin Weber, Johannes Schreiber, and Carlo L. Bottasso
Wind Energ. Sci., 5, 1273–1295, https://doi.org/10.5194/wes-5-1273-2020,https://doi.org/10.5194/wes-5-1273-2020, 2020
Short summary
Improving wind farm flow models by learning from operational data
Johannes Schreiber, Carlo L. Bottasso, Bastian Salbert, and Filippo Campagnolo
Wind Energ. Sci., 5, 647–673, https://doi.org/10.5194/wes-5-647-2020,https://doi.org/10.5194/wes-5-647-2020, 2020
Short summary
Brief communication: A double-Gaussian wake model
Johannes Schreiber, Amr Balbaa, and Carlo L. Bottasso
Wind Energ. Sci., 5, 237–244, https://doi.org/10.5194/wes-5-237-2020,https://doi.org/10.5194/wes-5-237-2020, 2020
Short summary

Related subject area

Control and system identification
Load reduction for wind turbines: an output-constrained, subspace predictive repetitive control approach
Yichao Liu, Riccardo Ferrari, and Jan-Willem van Wingerden
Wind Energ. Sci., 7, 523–537, https://doi.org/10.5194/wes-7-523-2022,https://doi.org/10.5194/wes-7-523-2022, 2022
Short summary
A reference open-source controller for fixed and floating offshore wind turbines
Nikhar J. Abbas, Daniel S. Zalkind, Lucy Pao, and Alan Wright
Wind Energ. Sci., 7, 53–73, https://doi.org/10.5194/wes-7-53-2022,https://doi.org/10.5194/wes-7-53-2022, 2022
Short summary
Experimental results of wake steering using fixed angles
Paul Fleming, Michael Sinner, Tom Young, Marine Lannic, Jennifer King, Eric Simley, and Bart Doekemeijer
Wind Energ. Sci., 6, 1521–1531, https://doi.org/10.5194/wes-6-1521-2021,https://doi.org/10.5194/wes-6-1521-2021, 2021
Short summary
Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance
Eric Simley, Paul Fleming, Nicolas Girard, Lucas Alloin, Emma Godefroy, and Thomas Duc
Wind Energ. Sci., 6, 1427–1453, https://doi.org/10.5194/wes-6-1427-2021,https://doi.org/10.5194/wes-6-1427-2021, 2021
Short summary
Model-based design of a wave-feedforward control strategy in floating wind turbines
Alessandro Fontanella, Mees Al, Jan-Willem van Wingerden, and Marco Belloli
Wind Energ. Sci., 6, 885–901, https://doi.org/10.5194/wes-6-885-2021,https://doi.org/10.5194/wes-6-885-2021, 2021
Short summary

Cited articles

Bertelè, M., Bottasso, C. L., Cacciola, S., Daher Adegas, F., and Delport, S.: Wind inflow observation from load harmonics, Wind Energ. Sci., 2, 615–640, https://doi.org/10.5194/wes-2-615-2017, 2017. a, b
Bottasso, C. L. and Schreiber, J.: Online model updating by a wake detector for wind farm control, in: 2018 Annual American Control Conference (ACC), Hilton Milwaukee City Center Hotel, Milwaukee, WI, USA, 27–29 June 2018, IEEE, 676–681, https://doi.org/10.23919/ACC.2018.8431626, 2018. a
Bottasso, C. L., Croce, A., and Riboldi, C.: Spatial estimation of wind states from the aeroelastic response of a wind turbine, in: TORQUE 2010, The Science of Making Torque from Wind, Forth, Heraklion, Crete, Greece, 28–30 June 2010. a
Bottasso, C. L., Cacciola, S., and Schreiber, J.: Local wind speed estimation, with application to wake impingement detection, Renew. Energ., 116, 155–168, https://doi.org/10.1016/j.renene.2017.09.044, 2018. a, b, c, d, e, f, g, h
Bromm, M., Rott, A., Beck, H., Vollmer, L., Steinfeld, G., and Kühn, M.: Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes, Wind Energy, 21, 1011–1028, https://doi.org/10.1002/we.2210, 2018. a, b, c, d
Download
Short summary
This paper validates a method to estimate the vertical wind shear and detect the presence and location of an impinging wake with field data. Shear and wake awareness have multiple uses, from turbine and farm control to monitoring and forecasting. Results indicate a very good correlation between the estimated vertical shear and the one measured by a met mast and a remarkable ability to locate and track the motion of an impinging wake on an affected rotor.
Altmetrics
Final-revised paper
Preprint