HeaTwin
Automated creation of thermal-hydraulic simulation models from BIM-based system information graphs for fault detection and operational optimization of complex heat supply systems
Brief description
The decarbonization of the heat supply requires the interaction of different system technologies in one system, which increases the complexity of the systems. Experience shows that this increasing complexity can severely impair the reliability and efficiency of the systems. On the one hand, the systems' susceptibility to faults increases due to the complex interaction of the individual components and generators. On the other hand, it becomes more difficult to correctly evaluate system operation and localize faults.
One way to automatically check the system behavior during operation is a detailed thermo-hydraulic simulation model ("digital twin"). The model can be used to identify and display deviations from the optimum operating state, taking into account the boundary conditions (consumption, weather, etc.). However, the manual creation of such a detailed system model is time-consuming and cost-intensive.
This is where HeaTwin comes in: The aim is to develop a methodology for the automated creation of thermohydraulic simulation models for complex heat supply systems based on digital system schematics (as a graph model) obtained from BIM data. The first proof-of-concept applications with greatly reduced complexity currently exist. In HeaTwin, on the other hand, the possibility of automated modeling of heating/cooling systems is to be investigated and further developed, even for complex heat supply systems with several generators and mutual interactions as well as with a high level of detail up to the exact integration of control functions. The aim is to demonstrate the methodology using real example systems. The focus is therefore on modeling the internal structure of the heat supply system to a greater extent than before. The results of the model should not only be used for energy evaluation, but also for fault detection and operational optimization.
Project partner
Viessmann Holding International GmbH
Duration
03/2024 -02/2027
Project partner
Viessmann Holding International GmbH
Funding
Funded by the Federal Ministry for Economic Affairs and Climate Action on the basis of a decision by the German Bundestag,
FKZ 03EN1091A