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

Data sets

GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 G. J. Huffman, E. F. Stocker, D. T. Bolvin, E. J. Nelkin, and J. Tan https://doi.org/10.5067/GPM/IMERG/3B-HH/06

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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.
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