I’m interested in understanding how digital twin technology is being applied in Canada to improve building and infrastructure performance. Specifically, I would like to know: How engineers use digital twins for real-time monitoring, predictive maintenance, and energy optimization in buildings, utilities, or industrial facilities. Examples of how digital twins have helped reduce operational costs, improve system efficiency, or prevent failures. Challenges engineers face when integrating IoT sensors, BIM data, and analytics platforms to create accurate digital twin models. Additionally, I’m curious about its applications in MEP design and building systems, and how digital twins are helping teams improve collaboration and decision-making across design, construction, and facility management. Any practical experiences, case studies, or lessons learned from Canadian projects would be greatly appreciated.

From my experience, Canadian engineers use digital twins to connect BIM models with real-time IoT data to better understand how buildings actually perform. This helps with predictive maintenance, energy optimization, and early fault detection, especially in HVAC and mechanical systems. Digital twins allow engineers to test operational changes virtually before applying them on-site, reducing risks and operating costs. They’re particularly valuable in Commercial HVAC design,where accurate performance modeling supports long-term efficiency. The main challenges are integrating data from different systems and keeping models accurate over time, but overall they improve collaboration and decision-making across design and operations.