Data-driven optimization of light commercial buildings’ operation

Data-driven optimization of building operations can significantly increase energy efficiency in the building sector with a relatively minimal cost. However, one of the main obstacles that prevent wide-spread implementation of advanced control strategies is the lack of standardization in data organization and advanced control algorithms between different buildings. To this end, this MITACS partnership with Strato Automation (a Montreal-based company) will leverage their building automation system which uses a relatively standardized data schema across hundreds of small to medium commercial buildings in North America in which it is deployed. This standardization will allow the applicants to develop scalable control technologies that provide automated fault detection for mechanical systems, and predictive control to optimize the operation of these systems based on day-ahead weather forecasts. Ultimately, these applications can provide significant energy savings for commercial building operations, which can be scaled up non-invasively in hundreds of similar small to medium commercial buildings across North America

Faculty Supervisor:

Mohamed Ouf;Mazdak Nik-Bakht

Student:

Partner:

Strato Automation

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program: