A Digital Twin is most commonly defined as a software representation of a physical asset, system or process. The digital twin is a virtual copy of the real process operation. A digital twin is a model of a component, a model of a membrane system, or a model of a physical process. Digital twins are used to test conditions of the asset, predict behavior, refine the control, optimize operation etc.
Digital twins enable us to optimize, improve efficiencies, automate, and evaluate performance. They help us as models for virtual commissioning. Computational approaches are regarded as alternatives to experimental studies. They allow to optimize and control the process behavior more systematically. A computational approache is often very helpful to identify optimal conditions and to achieve a better understanding over the process than only by real-world experiments.