Robust rapid prototyping system for model predictive control of single zone residential buildings
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Buildings in the United States are responsible for around 75% of total electric energy usage. Advanced controls are one way to minimize the energy use and cost; however, they require co-simulation platforms to study the effects on buildings and occupants. This thesis develops a platform to simulate advanced air conditioning controllers using model predictive controls (MPCs). MPCs require the use of co-simulation software which includes building energy simulation (EnergyPlus), optimization (AMPL), and MATLAB software used for simulation and investigation. MPCs require fast energy models as MPCs ...