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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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Preprints
https://doi.org/10.5194/wes-2020-48
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2020-48
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 11 Mar 2020

Submitted as: research article | 11 Mar 2020

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A revised version of this preprint is currently under review for the journal WES.

Field testing of a local wind inflow estimator and wake detector

Johannes Schreiber, Carlo L. Bottasso, and Marta Bertelè Johannes Schreiber et al.
  • Wind Energy Institute, Technische Universität München, 85748 Garching bei München, Germany

Abstract. This paper presents the field validation of a method to estimate the local wind speed on different sectors of a turbine rotor disk. Each rotating blade is used as a scanning sensor that, travelling across the rotor disk, samples the inflow. From the local speed estimates, the method can reconstruct the vertical wind shear and detect the presence and location on an impinging wake shed by an upstream wind turbine. Shear and wake awareness have multiple uses, from turbine and farm control to monitoring and forecasting.

This validation study is conducted with an experimental data set obtained with two multi-MW wind turbines and a hub-tall met-mast. Practical and simple procedures are presented and demonstrated to correct for the possible miscalibration of sensors.

Results indicate a very good correlation between the estimated vertical shear and the one measured by the met-mast. Additionally, the proposed method exhibits a remarkable ability to locate and track the motion of an impinging wake on an affected rotor.

Johannes Schreiber et al.

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Status: final response (author comments only)
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Johannes Schreiber et al.

Johannes Schreiber et al.

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Latest update: 01 Jun 2020
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Short summary
This paper validates with field data a method to estimate the vertical wind shear and detect the presence and location of an impinging wake. Shear and wake awareness have multiple uses, from turbine and farm control to monitoring and forecasting. Results indicate a very good correlation between the estimated vertical shear and the one measured by a met-mast, and a remarkable ability to locate and track the motion of an impinging wake on an affected rotor.
This paper validates with field data a method to estimate the vertical wind shear and detect the...
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