Data-Driven Smart Buildings
DDSB
This building is in one of the city’s main intersections (Saint-Catherine St and Guy St), exposed to a large population moving around and through the building. It has two parts: the Engineering Computer science (ENCS) building and the Visual Art (VA). They are connected but have different heights and usage.
The ENCS tower has 16 floors above the ground surface, including offices, conference rooms and some mechanical and chemical laboratories on the 12th – 16th floors. Each of the three floors has a unique atrium. On the 17th floor, there is a mechanical room divided into five rooms plus one electrical room. Two underground levels connect to the metro station, underground restaurants and a tunnel connecting to the library building and Hall building.
The VA tower also has some offices and workshops. It has 11 floors above the ground, with one floor dedicated to a mechanical room on the 12th floor. The gross floor area of the EV building is 69,204 m².
Data-driven model from a wide range of installed sensors to generate occupant-related profiles to simulate thermal and electricity demands for decision making.
Building-related and energy-related data from temperature, movement and equipment sensors.
The project’s main aim is to generate occupant-related schedules stochastically and simulate the associated energy demand to inform building energy modelling. To implement this methodology, a data-driven model is proposed to generate the occupant-related profiles using a database made available by Concordia University facility management. The outcome of this study provides a more realistic simulated thermal and electricity demand for decision-making.
In the EV building, a standardised Siemens building management system (BMS) is installed to collects different datastreams. Different sensors have been installed in the building energy management system to collect energy-related information. The installed sensors and measurements include internal temperature sensors for each zone/room; movement sensors for each zone/room; flow rate measurement for air and water; valve status indicator for open/ closed/ percentage value; ON/OFF status indicator for boilers, heat pumps, fans, pumps; air quality measurement for CO2 and CO; emergency light and alarms ON/OFF status indicator and energy consumption measurement (in kWh); fuel (Natural Gas) valve status and flow rate measurement; pipe pressure measurement; temperature measurement for water in pipes and inlets and outlets of heat exchanger; air handling unit operational status; external temperature measurement; solar PV energy output; Battery State-of-Charge (SOC) measurement; building-level electricity consumption measurement.
