Data-Driven Optimization of Heating, Ventilation and Air Conditioning Systems
Faculty & CollaboratorsMario Bergés
Current StudentsXuechen Lei
Heating, Ventilation and Air conditioning (HVAC) systems account for more than half of the energy consumption in buildings. The HVAC system provides thermal and ventilation services to support indoor thermal comfort and air quality requirements. Because of the large scale of energy consumed by the HVAC systems, enormous amount of energy could be wasted if the system is running inefficiently due to several causes, such as, inappropriate system control strategies, over conservative thermal and ventilation settings, equipment degradations and malfunctions, etc. Additionally, the system efficiency is expected to be boosted by occupancy-driven control strategies, more flexible comfort settings, effective energy impact feedback to building stakeholders, etc.
Nowadays, new technological advancements facilitate the deployment of Energy Management and Control System (EMCS) to buildings, which has the capacity to provide high resolution HVAC system, building operation and energy usage data. With the help of this dynamic data, this project aims at providing insights to optimize the HVAC systems to help buildings operate more efficiently.