Explanation of the project
- Currently, the development phases of building energy technology components are often characterized by complex and time-consuming prototype tests in test bench environments
- Particularly with regard to controller parameterization and optimization, boundary conditions on the test stand can only be varied to a limited extent or do not adequately reflect real conditions
→ In addition to non-optimal controller settings, energetic efficiency values are determined that cannot be achieved under practical conditions.
→ Digital tools can support the development, testing and operation of devices. Such tools are already being used successfully in many industries, but there is still some catching up to do in building energy technology.
In order to make progress compared to the above-mentioned initial situation, the research project aims to develop digital twins of heat pumps and fuel cells with the following key objectives:
- Reduce R&D times
- Improvement of the analysis options in the laboratory and in the field
- Support of the controller development and the control test with digital tools
- Model generation for the implementation of model predictive control
- Improvement of error detection after customer delivery
- Creating the prerequisites to be able to offer predictive control algorithms as a service for users