Articles | Volume 7, issue 6
https://doi.org/10.5194/wes-7-2497-2022
https://doi.org/10.5194/wes-7-2497-2022
Research article
 | 
20 Dec 2022
Research article |  | 20 Dec 2022

Lifetime prediction of turbine blades using global precipitation products from satellites

Merete Badger, Haichen Zuo, Ásta Hannesdóttir, Abdalmenem Owda, and Charlotte Hasager

Related authors

A data-driven reassessment of the extreme coherent gust with direction change
Ansh Patel, Jakob Mann, Kasper Zinck, Mikael Sjöholm, Ásta Hannesdóttir, and Karunya Raj
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2026-175,https://doi.org/10.5194/wes-2026-175, 2026
Preprint under review for WES
Short summary
Dynamic response and loads analysis of a large offshore wind turbine under low-frequency wind fluctuations
Abdul Haseeb Syed, Ásta Hannesdóttir, and Jakob Mann
Wind Energ. Sci., 11, 3321–3336, https://doi.org/10.5194/wes-11-3321-2026,https://doi.org/10.5194/wes-11-3321-2026, 2026
Short summary
Leading-edge erosion risk: Assessment of uncertainties
Charlotte Bay Hasager, Abhiram Vinod, Laurids Dencker Di Stefano Toft, and Krystallia Dimitriadou
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2026-136,https://doi.org/10.5194/wes-2026-136, 2026
Preprint under review for WES
Short summary
Wind field estimation for lidar-assisted control: a comparison of proper orthogonal decomposition and interpolation techniques
Esperanza Soto Sagredo, Søren Juhl Andersen, Ásta Hannesdóttir, and Jennifer Marie Rinker
Wind Energ. Sci., 11, 1705–1731, https://doi.org/10.5194/wes-11-1705-2026,https://doi.org/10.5194/wes-11-1705-2026, 2026
Short summary
The IEA Wind Task 57 inflow reconstruction benchmark for a single turbine in simple terrain: real-world and synthetic case studies
Alex Rybchuk, Henrik Asmuth, Armin Haghshenas, Ásta Hannesdóttir, Jan Friedrich, Jaime Liew, Jennifer M. Rinker, Daniel R. Houck, Regis Thedin, and Patrick Moriarty
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2026-77,https://doi.org/10.5194/wes-2026-77, 2026
Revised manuscript accepted for WES
Short summary

Cited articles

Arulraj, M. and Barros, A. P.: Shallow precipitation detection and classification using multifrequency radar observations and model simulations, J. Atmos. Ocean. Tech., 34, 1963–1983, https://doi.org/10.1175/JTECH-D-17-0060.1, 2017. 
Bak, C., Forsting, A. M., and Sørensen, N. N.: The influence of leading edge roughness, rotor control and wind climate on the loss in energy production, J. Phys.: Conf. Ser., 1618, 052050, https://doi.org/10.1088/1742-6596/1618/5/052050, 2020. 
Bech, J. I., Hasager, C. B., and Bak, C.: Extending the life of wind turbine blade leading edges by reducing the tip speed during extreme precipitation events, Wind Energ. Sci., 3, 729–748, https://doi.org/10.5194/wes-3-729-2018, 2018. 
Bech, J. I., Johansen, N. F.-J., Madsen, M. B., Hannesdóttir, Á., and Hasager, C. B.: Experimental study on the effect of drop size in rain erosion test and on lifetime prediction of wind turbine blades, Renew. Energy, 197, 776–789, https://doi.org/10.1016/j.renene.2022.06.127, 2022. 
Best, A. C.: The size of distribution of raindrops, Q. J. Roy. Meteorol. Soc., 76, 16–36, https://doi.org/10.1002/qj.49707632704, 1950. 
Download
Short summary
When wind turbine blades are exposed to strong winds and heavy rainfall, they may be damaged and their efficiency reduced. The problem is most pronounced offshore where turbines are tall and the climate is harsh. Satellites provide global half-hourly rain observations. We use these rain data as input to a model for blade lifetime prediction and find that the satellite-based predictions agree well with predictions based on observations from weather stations on the ground.
Share
Altmetrics
Final-revised paper
Preprint