The gap between automated building management system and office occupants' manual window operations: Towards personalised algorithms

This paper aims to demonstrate how knowledge acquired from occupants' manual window operations can be implemented into BMS automated operation algorithms. Ten single-occupant offices were selected in a university building the UK. More than 28,000 hourly data points on indoor and outdoor temperature open area (OWA) analysed 2015 2020. The had adopted nine different algorithms during 5 years. could manually overridden by office occupants. Automated compared against operations. results showed that slope gradient of regression lines for are smaller OWA increased 20% per 1 °C increase temperature, however, occupants opened windows 6–8% increase. Occupants react slower changes assumed BMS, which considered