A commercial center temperature control with model predictive control strategy

This thesis presents an investigation of how Model Predictive Control (MPC) is suitable to optimize the temperature control of an existing medium-size commercial center. Based on a mathematical building model tuned with real data, various control schemes are tested in simulation with the MATLAB environment. Extensions to price-based strategies and integration of renewable power generation and energy storage are considered, thus paving the way to the implementation of a smart micro grid. Some micro grid testing of predictive control strategies have been performed at Risø Laboratory (National Lab for Sustainable Energy) of Denmark Technical University in Copenhagen.