In order to describe time-dependent processes in devices, dynamic flow and process simulations can be performed modelling languages such as Modelica™. This allows the essential processes to be modelled and analysed with little effort.
Digital twins contribute to a better understanding of the system behavior and enable targeted optimization. This optimization is not only limited to component and device design, but in particular also applies to operation and process management. As a result, a more targeted and efficient development can be achieved, with reduced associated time and costs.
The modelling depth of the digital twin can vary greatly depending on the device or process being modelled. Simple system models can be implemented as web applications, while more complex processes require greater physical modelling depth and are accordingly more challenging to simulate.