Data-Driven HVAC and Building-Energy Optimization

Buildings generate large volumes of operational HVAC data, but converting this data into useful energy decisions requires a model that connects system behaviour with the physical building.

At START Hack 2025, our team worked on Belimo’s case using HVAC IoT data, thermal building modelling and data-driven optimization concepts. We won the challenge and went on to continue the work in a follow-up research project.

In collaboration with an established building automation company, we took an interdisciplinary approach to data-driven energy efficiency in commercial buildings — analyzing the HVAC ecosystem, mapping relevant stakeholders and evaluating selected technical and commercial opportunities. Combining academic research, expert discussions and high-level feasibility assessments of smart building concepts, the work deepened our understanding of how digital technologies can support more efficient, cost-effective and sustainable building operations.