Posters
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We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics and provide an opportunity for delegates to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please, join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!
PO260: Research on the measurement of yaw misalignment angle and an uncertainty analysis for a wind turbine using a LiDAR under the complex flow condition
Keon-hoon Kim, Principal researcher, KIER
Abstract
In this measurement research, before the measurement for the WYM(wind yaw misalignment) angle for a wind turbine using a nacelle based profiling LiDAR, the ground calibration procedure and calibration data are described and analyzed. Through the ground calibration process of the LiDAR, calibration procedures on the geometrical attitude, laser beam geometry and RWS(radial wind speed) are accomplished in sequence. In this calibration, the exact beam position related on the rolling and tilting angle of LiDAR for the forward direction is capable of traceability with comparison between the reference and measured data. The beam cone shape having an opening angle 60°is also assured and the its results are depicted. As final procedure of the ground calibration, RWS measurements with two met. mast of 12 m height and LiDAR on the same height are executed and analyzed. As a result on RWS calibration with bin 7.4° wind direction, the expanded uncertainty of a profiling LiDAR is revealed as 3∼4% of the wind speed. In addition, considering the effect on the AEP of wind turbine which is considered as the most important factor in the operation of wind farm, the measurement results on WYM of a wind turbine under the complex flow condition using the ground calibrated LiDAR are established and analyzed for the uncertainty with the suggested uncertainty model.
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