Articles | Volume 7, issue 3
https://doi.org/10.5194/wes-7-1209-2022
https://doi.org/10.5194/wes-7-1209-2022
Research article
 | 
08 Jun 2022
Research article |  | 08 Jun 2022

Impacts of wind field characteristics and non-steady deterministic wind events on time-varying main-bearing loads

Edward Hart, Adam Stock, George Elderfield, Robin Elliott, James Brasseur, Jonathan Keller, Yi Guo, and Wooyong Song

Related authors

Control-oriented modelling of wind direction variability
Scott Dallas, Adam Stock, and Edward Hart
Wind Energ. Sci., 9, 841–867, https://doi.org/10.5194/wes-9-841-2024,https://doi.org/10.5194/wes-9-841-2024, 2024
Short summary
Wind turbine main-bearing lubrication – Part 2: Simulation-based results for a double-row spherical roller main bearing in a 1.5 MW wind turbine
Edward Hart, Elisha de Mello, and Rob Dwyer-Joyce
Wind Energ. Sci., 7, 1533–1550, https://doi.org/10.5194/wes-7-1533-2022,https://doi.org/10.5194/wes-7-1533-2022, 2022
Short summary
Wind turbine main-bearing lubrication – Part 1: An introductory review of elastohydrodynamic lubrication theory
Edward Hart, Elisha de Mello, and Rob Dwyer-Joyce
Wind Energ. Sci., 7, 1021–1042, https://doi.org/10.5194/wes-7-1021-2022,https://doi.org/10.5194/wes-7-1021-2022, 2022
Short summary
Wind turbine drivetrains: state-of-the-art technologies and future development trends
Amir R. Nejad, Jonathan Keller, Yi Guo, Shawn Sheng, Henk Polinder, Simon Watson, Jianning Dong, Zian Qin, Amir Ebrahimi, Ralf Schelenz, Francisco Gutiérrez Guzmán, Daniel Cornel, Reza Golafshan, Georg Jacobs, Bart Blockmans, Jelle Bosmans, Bert Pluymers, James Carroll, Sofia Koukoura, Edward Hart, Alasdair McDonald, Anand Natarajan, Jone Torsvik, Farid K. Moghadam, Pieter-Jan Daems, Timothy Verstraeten, Cédric Peeters, and Jan Helsen
Wind Energ. Sci., 7, 387–411, https://doi.org/10.5194/wes-7-387-2022,https://doi.org/10.5194/wes-7-387-2022, 2022
Short summary
Constructing fast and representative analytical models of wind turbine main bearings
James Stirling, Edward Hart, and Abbas Kazemi Amiri
Wind Energ. Sci., 6, 15–31, https://doi.org/10.5194/wes-6-15-2021,https://doi.org/10.5194/wes-6-15-2021, 2021
Short summary

Related subject area

Thematic area: Wind technologies | Topic: Design concepts and methods for plants, turbines, and components
One-to-one aeroservoelastic validation of operational loads and performance of a 2.8 MW wind turbine model in OpenFAST
Kenneth Brown, Pietro Bortolotti, Emmanuel Branlard, Mayank Chetan, Scott Dana, Nathaniel deVelder, Paula Doubrawa, Nicholas Hamilton, Hristo Ivanov, Jason Jonkman, Christopher Kelley, and Daniel Zalkind
Wind Energ. Sci., 9, 1791–1810, https://doi.org/10.5194/wes-9-1791-2024,https://doi.org/10.5194/wes-9-1791-2024, 2024
Short summary
Identification of electro-mechanical interactions in wind turbines
Fiona Dominique Lüdecke, Martin Schmid, and Po Wen Cheng
Wind Energ. Sci., 9, 1527–1545, https://doi.org/10.5194/wes-9-1527-2024,https://doi.org/10.5194/wes-9-1527-2024, 2024
Short summary
A sensitivity-based estimation method for investigating control co-design relevance
Jenna Iori, Carlo Luigi Bottasso, and Michael Kenneth McWilliam
Wind Energ. Sci., 9, 1289–1304, https://doi.org/10.5194/wes-9-1289-2024,https://doi.org/10.5194/wes-9-1289-2024, 2024
Short summary
Validation of aeroelastic dynamic model of active trailing edge flap system tested on a 4.3 MW wind turbine
Andrea Gamberini, Thanasis Barlas, Alejandro Gomez Gonzalez, and Helge Aagaard Madsen
Wind Energ. Sci., 9, 1229–1249, https://doi.org/10.5194/wes-9-1229-2024,https://doi.org/10.5194/wes-9-1229-2024, 2024
Short summary
Mesoscale modelling of North Sea wind resources with COSMO-CLM: model evaluation and impact assessment of future wind farm characteristics on cluster-scale wake losses
Ruben Borgers, Marieke Dirksen, Ine L. Wijnant, Andrew Stepek, Ad Stoffelen, Naveed Akhtar, Jérôme Neirynck, Jonas Van de Walle, Johan Meyers, and Nicole P. M. van Lipzig
Wind Energ. Sci., 9, 697–719, https://doi.org/10.5194/wes-9-697-2024,https://doi.org/10.5194/wes-9-697-2024, 2024
Short summary

Cited articles

Barter, G. E., Robertson, A., and Musial, W.: A systems engineering vision for floating offshore wind cost optimization, Renewable Energy Focus, 34, 1–16, https://doi.org/10.1016/j.ref.2020.03.002, 2020. a
Bergua, R., Keller, J., Bankestrom, O., Dunn, M., Guo, Y., Key, A., and Young, E.: Up-tower investigation of main bearing cage slip and loads, https://www.nrel.gov/docs/fy22osti/81240.pdf (last access: 11 March 2022), 2021. a
Bossanyi, E. A.: Individual blade pitch control for load reduction, Wind Energy, 6, 119–128, 2003. a
Burton, T., Jenkins, N., Sharpe, D., and Bossanyi, E.: Wind Energy Handbook, 2nd Edition, John Wiley & Sons ltd, Chichester, ISBN 978-0-470-69975-1, 2001. a
Cardaun, M., Roscher, B., Schelenz, R., and Jacobs, G.: Analysis of Wind-Turbine Main Bearing Loads Due to Constant Yaw Misalignments over a 20 Years Timespan, Energies, 12, 1768, https://doi.org/10.3390/en12091768, 2019. a, b
Download
Short summary
We consider characteristics and drivers of loads experienced by wind turbine main bearings using simplified models of hub and main-bearing configurations. Influences of deterministic wind characteristics are investigated for 5, 7.5, and 10 MW turbine models. Load response to gusts and wind direction changes are also considered. Cubic load scaling is observed, veer is identified as an important driver of load fluctuations, and strong links between control and main-bearing load response are shown.
Altmetrics
Final-revised paper
Preprint