Articles | Volume 7, issue 1
https://doi.org/10.5194/wes-7-283-2022
https://doi.org/10.5194/wes-7-283-2022
Research article
 | 
07 Feb 2022
Research article |  | 07 Feb 2022

Alignment of scanning lidars in offshore wind farms

Andreas Rott, Jörge Schneemann, Frauke Theuer, Juan José Trujillo Quintero, and Martin Kühn

Related authors

Wind vane correction during yaw misalignment for horizontal-axis wind turbines
Andreas Rott, Leo Höning, Paul Hulsman, Laura J. Lukassen, Christof Moldenhauer, and Martin Kühn
Wind Energ. Sci., 8, 1755–1770, https://doi.org/10.5194/wes-8-1755-2023,https://doi.org/10.5194/wes-8-1755-2023, 2023
Short summary
Increased power gains from wake steering control using preview wind direction information
Balthazar Arnoldus Maria Sengers, Andreas Rott, Eric Simley, Michael Sinner, Gerald Steinfeld, and Martin Kühn
Wind Energ. Sci., 8, 1693–1710, https://doi.org/10.5194/wes-8-1693-2023,https://doi.org/10.5194/wes-8-1693-2023, 2023
Short summary
Observer-based power forecast of individual and aggregated offshore wind turbines
Frauke Theuer, Andreas Rott, Jörge Schneemann, Lueder von Bremen, and Martin Kühn
Wind Energ. Sci., 7, 2099–2116, https://doi.org/10.5194/wes-7-2099-2022,https://doi.org/10.5194/wes-7-2099-2022, 2022
Short summary
Offshore wind farm global blockage measured with scanning lidar
Jörge Schneemann, Frauke Theuer, Andreas Rott, Martin Dörenkämper, and Martin Kühn
Wind Energ. Sci., 6, 521–538, https://doi.org/10.5194/wes-6-521-2021,https://doi.org/10.5194/wes-6-521-2021, 2021
Short summary
Modelling the Wind Turbine Inflow with a Reduced Order Model based on SpinnerLidar Measurements
Anantha Padmanabhan Kidambi Sekar, Marijn Floris van Dooren, Andreas Rott, and Martin Kühn
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2021-16,https://doi.org/10.5194/wes-2021-16, 2021
Preprint withdrawn
Short summary

Related subject area

Offshore technology
A framework for simultaneous design of wind turbines and cable layout in offshore wind
Juan-Andrés Pérez-Rúa and Nicolaos Antonio Cutululis
Wind Energ. Sci., 7, 925–942, https://doi.org/10.5194/wes-7-925-2022,https://doi.org/10.5194/wes-7-925-2022, 2022
Short summary
Damping identification of offshore wind turbines using operational modal analysis: a review
Aemilius A. W. van Vondelen, Sachin T. Navalkar, Alexandros Iliopoulos, Daan C. van der Hoek, and Jan-Willem van Wingerden
Wind Energ. Sci., 7, 161–184, https://doi.org/10.5194/wes-7-161-2022,https://doi.org/10.5194/wes-7-161-2022, 2022
Short summary
FAST.Farm load validation for single wake situations at alpha ventus
Matthias Kretschmer, Jason Jonkman, Vasilis Pettas, and Po Wen Cheng
Wind Energ. Sci., 6, 1247–1262, https://doi.org/10.5194/wes-6-1247-2021,https://doi.org/10.5194/wes-6-1247-2021, 2021
Short summary
Exploitation of the far-offshore wind energy resource by fleets of energy ships – Part 2: Updated ship design and cost of energy estimate
Aurélien Babarit, Félix Gorintin, Pierrick de Belizal, Antoine Neau, Giovanni Bordogna, and Jean-Christophe Gilloteaux
Wind Energ. Sci., 6, 1191–1204, https://doi.org/10.5194/wes-6-1191-2021,https://doi.org/10.5194/wes-6-1191-2021, 2021
Short summary
Revealing system variability in offshore service operations through systemic hazard analysis
Romanas Puisa, Victor Bolbot, Andrew Newman, and Dracos Vassalos
Wind Energ. Sci., 6, 273–286, https://doi.org/10.5194/wes-6-273-2021,https://doi.org/10.5194/wes-6-273-2021, 2021
Short summary

Cited articles

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
Gao, F. and Han, L.: Implementing the Nelder-Mead simplex algorithm with adaptive parameters, Comput. Optim. Appl., 51, 259–277, 2012. a, b, c
Gottschall, J., Wolken-Möhlmann, G., Viergutz, T., and Lange, B.: Results and conclusions of a floating-lidar offshore test, Energy Proced., 53, 156–161, https://doi.org/10.1016/j.egypro.2014.07.224, 2014. a
Koch, G. J., Beyon, J. Y., Modlin, E. A., Petzar, P. J., Woll, S., Petros, M., Yu, J., and Kavaya, M. J.: Side-scan Doppler lidar for offshore wind energy applications, J. Appl. Remote Sens., 6, 1–11, https://doi.org/10.1117/1.jrs.6.063562, 2012. a
Krishnamurthy, R., Boquet, M., and Osler, E.: Current Applications of Scanning Coherent Doppler Lidar in Wind Energy Industry, in: EPJ Web of Conferences, EDP Sciences, 119, 10003, https://doi.org/10.1051/epjconf/201611910003, 2016. a
Download
Short summary
We present three methods that can determine the alignment of a lidar placed on the transition piece of an offshore wind turbine based on measurements with the instrument: a practical implementation of hard targeting for north alignment, a method called sea surface levelling to determine the levelling of the system from water surface measurements, and a model that can determine the dynamic levelling based on the operating status of the wind turbine.
Altmetrics
Final-revised paper
Preprint