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

Satellite-based estimation of roughness lengths and displacement heights for wind resource modelling
Rogier Floors, Merete Badger, Ib Troen, Kenneth Grogan, and Finn-Hendrik Permien
Wind Energ. Sci., 6, 1379–1400, https://doi.org/10.5194/wes-6-1379-2021,https://doi.org/10.5194/wes-6-1379-2021, 2021
Short summary
US East Coast synthetic aperture radar wind atlas for offshore wind energy
Tobias Ahsbahs, Galen Maclaurin, Caroline Draxl, Christopher R. Jackson, Frank Monaldo, and Merete Badger
Wind Energ. Sci., 5, 1191–1210, https://doi.org/10.5194/wes-5-1191-2020,https://doi.org/10.5194/wes-5-1191-2020, 2020
Short summary
Europe's offshore winds assessed with synthetic aperture radar, ASCAT and WRF
Charlotte B. Hasager, Andrea N. Hahmann, Tobias Ahsbahs, Ioanna Karagali, Tija Sile, Merete Badger, and Jakob Mann
Wind Energ. Sci., 5, 375–390, https://doi.org/10.5194/wes-5-375-2020,https://doi.org/10.5194/wes-5-375-2020, 2020
Short summary
Applications of satellite winds for the offshore wind farm site Anholt
Tobias Ahsbahs, Merete Badger, Patrick Volker, Kurt S. Hansen, and Charlotte B. Hasager
Wind Energ. Sci., 3, 573–588, https://doi.org/10.5194/wes-3-573-2018,https://doi.org/10.5194/wes-3-573-2018, 2018
Short summary

Related subject area

Thematic area: Wind and the atmosphere | Topic: Atmospheric physics
Linking large-scale weather patterns to observed and modeled turbine hub-height winds offshore of the US West Coast
Ye Liu, Timothy W. Juliano, Raghavendra Krishnamurthy, Brian J. Gaudet, and Jungmin Lee
Wind Energ. Sci., 10, 483–495, https://doi.org/10.5194/wes-10-483-2025,https://doi.org/10.5194/wes-10-483-2025, 2025
Short summary
Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms
Tsvetelina Ivanova, Sara Porchetta, Sophia Buckingham, Gertjan Glabeke, Jeroen van Beeck, and Wim Munters
Wind Energ. Sci., 10, 245–268, https://doi.org/10.5194/wes-10-245-2025,https://doi.org/10.5194/wes-10-245-2025, 2025
Short summary
Investigating the Relationship between Simulation Parameters and Flow Variables in Simulating Atmospheric Gravity Waves for Wind Energy Applications
Mehtab Ahmed Khan, Dries Allaerts, Simon J. Watson, and Matthew J. Churchfield
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-138,https://doi.org/10.5194/wes-2024-138, 2024
Revised manuscript accepted for WES
Short summary
Estimating the technical wind energy potential of Kansas that incorporates the effect of regional wind resource depletion by wind turbines
Jonathan Minz, Axel Kleidon, and Nsilulu T. Mbungu
Wind Energ. Sci., 9, 2147–2169, https://doi.org/10.5194/wes-9-2147-2024,https://doi.org/10.5194/wes-9-2147-2024, 2024
Short summary
Analyzing the performance of vertical wind profilers in rain events
Adriel J. Carvalho, Francisco Albuquerque Leite Neto, and Denisson Q. Oliveira
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-132,https://doi.org/10.5194/wes-2024-132, 2024
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