Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
https://doi.org/10.5194/wes-2017-46
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research articles
18 Oct 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).
High frequent SCADA-based thrust load modeling of wind turbines
Nymfa Noppe1,2, Wout Weijtjens1,2, and Christof Devriendt1,2 1Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussel, Belgium
2Offshore wind infrastructure lab (OWI-lab)
Abstract. A reliable load history is crucial for a fatigue assessment of wind turbines. However, installing strain sensors on every wind turbine is economically not feasible. In this paper, a technique is proposed to reconstruct the thrust load history of a wind turbine based on high frequent SCADA data. Strain measurements recorded during a short period of time are used to train a neural network. The selection of appropriate input parameters is done based on Pearson correlation. Once the training is done, the model can be used to predict the thrust load based on SCADA data only. The technique is validated with both simulation data (FAST) and measurements at an offshore wind turbine. In general, the relative error barely exceeds 15 % during normal operation.

Citation: Noppe, N., Weijtjens, W., and Devriendt, C.: High frequent SCADA-based thrust load modeling of wind turbines, Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2017-46, in review, 2017.
Nymfa Noppe et al.
Nymfa Noppe et al.
Nymfa Noppe et al.

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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 economically not feasible. In this paper, a technique is proposed to reconstruct the thrust load history of a wind turbine based on high frequent SCADA data and a trained neural network. Both simulated and real-world results show the potential of high-frequency SCADA for thrust load reconstruction.
A reliable load history is crucial for a fatigue assessment of wind turbines. However,...
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