Challenge
When the project began, no technical documentation was available. In order to build a functioning digital twin, the entire heating system first had to be mapped out — a complex task in a busy educational building.
Solution
Together with the client and technical partner Croonwolter&dros, the heating installation was fully reconstructed and integrated into the digital twin. Self-learning algorithms enabled the system to understand the building’s behaviour — including heat demand, weather effects, and system efficiency. Today, the heating is automatically and intelligently managed 24/7.
Collaboration
- HZ University (client)
- Croonwolter&dros (installer)
- VBoptimum (algorithms & optimisation)
Results
The cooling system will be added in the summer of 2025, after which full monitoring of energy use will be available. Even now, the early outcomes are promising:
- Continuous, self-learning system control
- Optimisation based on weather forecasts and system performance
- Energy delivered more efficiently, without compromising comfort
A project to be proud of — made possible by the expertise of our colleague Jorret Westerbaan, in close collaboration with Croonwolter&dros and HZ University.