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Optimizing Wind Farm Efficiency through Synchronized Helix Wake Mixing Using Wind Speed Estimation
Aemilius van Vondelen, PhD Candidate, TU Delft
Abstract
This study presents a novel wind farm control strategy that enhances power production by synchronizing wake dynamics using an Extended Kalman Filter (EKF)-based phase estimator within a Helix control framework. The Helix approach actively induces periodic wake oscillations to improve downstream wake mixing and energy recovery. Our proposed method leverages an EKF to accurately track the phase of an upstream turbine’s Helix wake and applies synchronized control actions to downstream turbines, ensuring constructive wake interactions that benefit turbines further downstream. Large-eddy simulations of a three-turbine array confirm that this wake synchronization strategy can boost power output by up to 10% on the third turbine. Flow analysis reveals that optimal phase offsets sustain wake coherence and recovery, while poor offsets induce destructive interference. These findings highlight the potential of wake-synchronized control to maximize wind farm efficiency. Join us at WindEurope to discover how wake synchronization can unlock greater energy gains in wind farms!