Optimisation of the technical building systems using dynamic simulations and model-based operating data analyses for the university campus in Pinkafeld

The demands placed on modern heating, ventilation and air conditioning systems have increased significantly in recent years. Regulatory and user-specific framework conditions are forcing planners to increasingly use data-supported processes for the design, dimensioning and operational management optimisation of technical building systems. However, practical implementation is hindered by the high complexity of systems and limited interoperability, meaning that conventional planning and development methods need to be supplemented with new analysis tools. In this context, the combination of simulation-based design and data-supported operational optimisation is an important success factor. Within the project, this holistic approach is to be implemented for the planned new building of the university campus. Dynamic building and system simulations are to be carried out to investigate and optimise the thermal behaviour. The simulation results will provide the basis for demand-orientated dimensioning of the HVAC systems and at the same time lay the foundation for improved operational management. The improvement in operational management is achieved by

• Deriving optimised regulation and control strategies,
• using the simulation models as a digital twin to identify operating performance gaps
• Integral conceptualisation of building automation
• installation of an EDGE device for manufacturer-independent operating data analysis for commissioning management and technical monitoring.