Batch processes, equipment failures, demand-driven production fluctuations, seasonal or meteorological variations, etc., influence a process over time. Static models inadequately represent such dynamic processes. For reliable statements, dynamic process models are required, capable of simulating complex facilities with a suitable tool environment.
By conducting appropriate parameter studies, sensitivity analyses, and «what-if» scenarios, the foundation is laid to develop a deeper understanding of system behavior. This, in turn, forms the basis for optimizing the performance of a system. Through a modular and hierarchical multi-domain approach, various facility concepts and control strategies can be tested in a relatively short time. This provides decision support from design through operation to recycling.
SYSKON – Systematic design of industrial adsorption and desorption processes
Industrial sorption processes are characterized by a high degree of complexity in process management and product design. In this project, researchers from HSLU – Technik & Architektur are developing the foundations for the systematic design of such processes based on physical system models. These foundations are exemplarily applied to two industrial sorption processes, leading to a redesign and optimization of a second-Generation product.
