Wind Predictions Upstream Wind Turbines from a LiDAR Database
AbstractThis article presents a new method to predict the wind velocity upstream a horizontal axis wind turbine from a set of light detection and ranging (LiDAR) measurements. The method uses higher order dynamic mode decomposition (HODMD) to construct a reduced order model (ROM) that can be extrapolated in space. LiDAR measurements have been carried out upstream a wind turbine at six different planes perpendicular to the wind turbine axis. This new HODMD-based ROM predicts with high accuracy the wind velocity during a timespan of 24 h in a plane of measurements that is more than 225 m far away from the wind turbine. Moreover, the technique introduced is general and obtained with an almost negligible computational cost. This fact makes it possible to extend its application to both vertical axis wind turbines and real-time operation. View Full-Text
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Le Clainche, S.; Lorente, L.S.; Vega, J.M. Wind Predictions Upstream Wind Turbines from a LiDAR Database. Energies 2018, 11, 543.
Le Clainche S, Lorente LS, Vega JM. Wind Predictions Upstream Wind Turbines from a LiDAR Database. Energies. 2018; 11(3):543.Chicago/Turabian Style
Le Clainche, Soledad; Lorente, Luis S.; Vega, José M. 2018. "Wind Predictions Upstream Wind Turbines from a LiDAR Database." Energies 11, no. 3: 543.
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