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Human-in-the-loop Control of HVAC Systems in Commercial Buildings

The primary goal of this project is to design, implement, and evaluate a human-in-the-loop sensing and control system for energy efficiency of HVAC and lighting systems based on a novel depth-imaging occupancy sensor. Specifically, the solution will leverage a depth sensor to estimate number of occupants as well as their body structure, and incorporate that information into a model-predictive control (MPC) framework that optimizes the energy efficiency of the building by realizing the suggested control strategies through the use of open Building Automation System (BAS) platforms

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Mario Bergés
Professor of Civil and Environmental Engineering

My research interests vary, but generally gravitate towards the development of technologies to make our built enviornment and the communities in them more autonomous and efficient.