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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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Volume 1, issue 2
Wind Energ. Sci., 1, 143–152, 2016
https://doi.org/10.5194/wes-1-143-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Wind Energ. Sci., 1, 143–152, 2016
https://doi.org/10.5194/wes-1-143-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 27 Sep 2016

Research article | 27 Sep 2016

An innovative method to calibrate a spinner anemometer without the use of yaw position sensor

Giorgio Demurtas and Nick Gerardus Cornelis Janssen
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Cited articles  
Brent, R. P.: Algorithms for Minimization without Derivatives, Prentice-Hall, DTU Wind Energy, Roskilde, Denmark, 1973.
Demurtas, G., Pedersen, T. F., and Zahle, F.: Calibration of a spinner anemometer for wind speed measurements, Wind Energy, https://doi.org/10.1002/we.1965, in press, 2016.
Pedersen, T. F., Madsen, H., Møller, R., Courtney, M., Sørensen, N., Enevoldsen, P., and Egedal, P.: Spinner Anemometry – An Innovative Wind Measurement Concept, European Wind Energy Association (EWEA), 7–10 May 2007, Milan, Italy, 2007.
Pedersen, T. F. and Demurtas, G.: Calibration of a spinner anemometer for flow angle measurements, Wind Energy, I, 305, 2014.
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This innovative calibration method for a spinner anemometer allows a cheaper and faster installation of a spinner anemometer system, removing the need for the additional yaw position sensor. The method leverages the non-linearity of the spinner anemometer model to determine the calibration constant related to flow angle measurements. The method was applied to a database of 29 calibration campaigns and shown to be sufficiently robust.
This innovative calibration method for a spinner anemometer allows a cheaper and faster...
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