Rotea, Mario A.
Mario Rotea is the head of the Department of Materials Engineering and holds the Eric Johnson Chair. His research interests include control systems; condition monitoring systems; energy conversion, storage, and conservation; mechanical systems; and aerospace systems.
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In the wind energy industry there is a growing need for real-time predictions of wind turbine wake flows in order to optimize power plant control and inhibit detrimental wake interactions. To this aim, a data-driven RANS ...
In this paper a new paradigm for prediction of wind turbine wakes is proposed, which is based on a reduced order model (ROM) embedded in a Kalman filter. The ROM is evaluated by means of dynamic mode decomposition performed ...