Posters
Come meet the poster presenters to ask them questions and discuss their work
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!
PO187: Time to leverage Nacelle Mounted Lidar for Turbulence Intensity measurement using a new filtering method
Frédéric Delbos, Wind Energy Research and Application Manager, Vaisala
Abstract
Nacelle-Mounted Lidar (NML) is a natural and cost-efficient solution of wind measurement for wind turbines, due to the easy deployment and the accurate wind measurement. Currently, NML has already accepted and widely uses by wind turbine manufactures, certification society and wind farm operators for multiple applications, such as, Power Performance Testing (PPT), Lidar-Assist Control, turbine load estimations, and offshore floating turbine. Turbulence Intensity (TI) is one of the key parameters for these applications. TI is usually used to filter outliers in PPT verification and is the first important measurement for turbine load estimations. TI could be also computed from SCADA data using the nacelle anemometer, but as the anemometer is submitted to the wake turbulence of the blades, those TI values have a high uncertainty. Previous results show good TI comparisons between NML and Met Mast. However, this comparison requires a strict filtering by data availability and significantly reduce the data number. The strict filtering is due to the highly sensitivity of TI to wind speed. This study introduces a new filtering method at the computation of 1Hz data, which can recognize and filter the wind speed outlier in the high frequency data. The whole evaluations are taken at two operational wind farms using WindCube Nacelle (formerly named Wind Iris) with the IEC met mast at 2.5D in front of wind turbine. The results show good TI comparisons: the correlation coefficient of two campaigns is 0.916 and 0.932 with slopes of 0.951 and 1.029 and the percentage of valid TI is 83.7% and 71.9%. With the new filtering method, the data coverage of valid TI for NML reaches the same level as the one for wind speed measurement. These results give us confidence to leverage NML for the industrial application of Turbulence Intensity measurement.
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