Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-139-2018
https://doi.org/10.5194/wes-3-139-2018
Research article
 | 
22 Mar 2018
Research article |  | 22 Mar 2018

Modeling of quasi-static thrust load of wind turbines based on 1 s SCADA data

Nymfa Noppe, Wout Weijtjens, and Christof Devriendt

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish as is (23 Jan 2018) by Gerard J.W. van Bussel
ED: Publish as is (11 Feb 2018) by Jakob Mann (Chief editor)
AR by Nymfa Noppe on behalf of the Authors (12 Feb 2018)
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Short summary
A reliable load history is crucial for a fatigue assessment of wind turbines. However, installing strain sensors to measure the load history on every wind turbine is not economically feasible. In this paper, a technique is proposed to reconstruct the thrust load history of a wind turbine based on high-frequency SCADA data and a trained neural network. Both simulated and real-world results show the potential of high-frequency SCADA for thrust load reconstruction.
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