Real-time, high-availability digital-twin models for supervisory control and energy demand optimization of intelligent buildings

The overall goal of this project is to approach the concept of “smart buildings” from a novel perspective by creating a new building automation and controls technology that unifies smart buildings with data centres, with a focus on interaction between digital models and human operators. Data centres pose unique agility, reliability, security, and efficiency requirements which represent an as-yet unexplored perspective for building automation. Data centres have a wide array of different types of equipment installed to handle electrical power, cooling, security systems, fire alarms, and computer networking. However, these systems typically operate independently and do not share information with each other. We propose introducing a decentralized control system which is able to automatically gather, analyze and act on live data to allow a building, its operators, and its occupants to adapt to changing situations. If successful, this will reduce the total cost of ownership and increase reliability, utility, security, and energy efficiency of building control syste

Faculty Supervisor:

Chi-fu Wu;Mark Wlodyka

Student:

Partner:

HYNES GROUP

Discipline:

Engineering

Sector:

Real estate and rental and leasing

University:

Capilano University

Program: