Challenge
The building accommodates a wide range of research activities, each with different energy profiles. This makes it essential to understand the capacity of the energy plant and how energy is used throughout the building. At the same time, the ambition was to explore how this location could eventually be controlled 24/7 through data-driven algorithms.
Solution
VBoptimum developed the models and configured the building’s Digital Twin environment. This Digital Twin enables simulations and analyses that provide insight into the performance and capacity of the energy infrastructure.
The Digital Twin is connected to the building management system through Webeasy, allowing real-time building data to be used for analysis and optimisation. This forms the foundation for future algorithm-based control of the building.
Collaboration
The project is carried out in close collaboration with ReMe Techniek. VBoptimum develops the models and builds the Digital Twin, while ReMe Techniek is responsible for the integrations within the Webeasy building management system.
Results
The project is now operational. What started as a pilot has evolved into a regular project following a successful implementation. The first energy savings are already visible, and the collaboration between VBoptimum and ReMe Techniek has proven to be highly effective.
