Research activities

Use-optimized modeling depth for the simulation of highly cross-linked industrial plants

For the design and optimization of separation processes the use of commercial process simulators is state-of-the-art. Industrial applications of such simulators range from detailed fine-tuning of the operating points of individual devices, where compositions, pressures and temperatures are decisive, up to economic and strategic optimization problems in which the costs and production quantities of highly cross-linked systems are taken into account.

For the latter applications, however, the level of detail of simulation models is limited by stability and computing time which requires a reduction of the modeling depth while maintaining the significant information for making management decisions.

This work examines the effects of the level of detail of simulation models on their accuracy and modeling effort, aiming at deriving recommendations for a use-optimized modeling depth for the simulation of highly cross-linked industrial plants.