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