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.
Works in Treasures @ UT Dallas are made available exclusively for educational purposes such as research or instruction. Literary rights, including copyright for published works held by the creator(s) or their heirs, or other third parties may apply. All rights are reserved unless otherwise indicated by the copyright owner(s).
Evaluation of Log-Of-Power Extremum Seeking Control for Wind Turbines Using Large Eddy Simulations The extremum seeking control (ESC) algorithm has been proposed to determine operating parameters that maximize power production below rated wind speeds (region II). This is usually done by measuring the turbine's power ...
Data-Driven RANS for Simulations of Large Wind Farms 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 ...
Data-Driven Reduced Order Model for Prediction of Wind Turbine Wakes 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 ...