We study the theory and practice of model predictive control applied to constrained systems, with an emphasis on problems arising from renewable power. We are particularly interested in the following topics:
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We focus on green energy systems that require advanced control theory and mechanisms in order to achieve their energy-optimal targets. Our current areas of research include:
- Smart Building / Smart Grid Interactions
Buildings are responsible for 40% of the planet's energy consumption both directly and indirectly. This makes them ideal targets both for economically positive energy efficiency programs and as beneficial actors on the future smart grid. We are studying optimal control methodologies that will both reduce the energy consumption of current and next-generation buildings, as well as enable them to react to grid conditions and offer positive stabilizing energy.
- Kite power systems
We develop control systems that enable and optimize the capture of energy from high-altitude winds utilizing tethered airfoils, or kites. Such winds are faster, and more regular than wind at altitudes accessible to existing turbines.