Personalized Thermal Comfort Driven Control in HVAC Operated Office Buildings

摘要: Occupant comfort is a dominant influence on the performance of HVAC operations. Most system operations rely industry standards to ensure satisfactory environmental conditions during occupancy. Despite increasing building energy consumption rates, occupants are not usually satisfied with indoor in commercial buildings. To address this issue, paper, framework for integrating personalized preferences into control logic introduced. As part framework, user proxy, profile learning algorithm, and management (BMS) controller presented. The real setting has been evaluated. was successful small-scale experiment efficiency by improving slight decrease collective consumption.