Articles | Volume 1, issue 2
https://doi.org/10.5194/wes-1-143-2016
https://doi.org/10.5194/wes-1-143-2016
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

Abstract. A spinner anemometer can be used to measure the yaw misalignment and flow inclination experienced by a wind turbine. Previous calibration methods used to calibrate a spinner anemometer for flow angle measurements were based on measurements of a spinner anemometer with default settings (arbitrary values, generally k1,d  =  1 and k2,d  =  1) and a reference yaw misalignment signal measured with a yaw position sensor. The yaw position sensor is normally present in wind turbines for control purposes; however, such a signal is not always available for a spinner anemometer calibration. Therefore, an additional yaw position sensor was installed prior to the spinner anemometer calibration. An innovative method to calibrate the spinner anemometer without a yaw positions sensor was then developed. It was noted that a non-calibrated spinner anemometer that overestimates (underestimates) the inflow angle will also overestimate (underestimate) the wind speed when there is a yaw misalignment. The new method leverages the non-linearity of the spinner anemometer algorithm to find the calibration factor Fα by an optimization process that minimizes the dependency of the wind speed on the yaw misalignment. The new calibration method was found to be rather robust, with Fα values within ±2.7 % of the mean value for four successive tests at the same rotor position.

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Short summary
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.
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