Developing a digital twin on a university campus to support efficient and sustainable buildings

Abstract

This study presents a case study for the proof of concept of developing and integrating a digital twin for an open floor-plan office space in a university campus to assess the (near) real-time monitoring of different elements, including temperature, humidity and occupancy. The system uses various weather sensors and a camera feed as input to a computer vision algorithm to detect (near) real-time occupancy. The goal is to use this platform to provide real-time information about ambient and occupancy information that users and facility managers can use to make buildings more efficient and sustainable by considering users’ involvement and feedback.