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Scanning Lidar Spatial Calibration and Alignment Method for Wind Turbine Wake Characterization
Author(s) -
Thomas Herges,
David Maniaci,
Brian Naughton,
Kasper Lykke Hansen,
Mikael Sjöholm,
Nikolas Angelou,
Torben Mikkelsen
Publication year - 2017
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2017-0455
Subject(s) - lidar , wake , calibration , remote sensing , characterization (materials science) , environmental science , turbine , computer science , aerospace engineering , engineering , geology , optics , physics , quantum mechanics
Characterization DTU Orbit (06/12/2018) Scanning Lidar Spatial Calibration and Alignment Method for Wind Turbine Wake Characterization Sandia National Laboratories and the National Renewable Energy Laboratory conducted a field campaign at the Scaled Wind Farm Technology (SWiFT) Facility using a customized scanning lidar from the Technical University of Denmark. The results from this field campaign will support the validation of computational models to predict wake dissipation and wake trajectory offset downstream of a stand-alone wind turbine. In particular, regarding the effect of changes in the atmospheric boundary layer inflow state and turbine yaw offset. A key step in this validation process involves quantifying, and reducing, the uncertainty in the wake measurements. The present work summarizes the process that was used to calibrate the alignment of the lidar in order to reduce this source of uncertainty in the experimental data from the SWiFT field test.

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