An integration of design data and mathematical models in chemical process design

Abstract Model-based methods, provided by process modeling environments, nowadays support a variety of activities throughout the lifecycle of designing and running chemical processes. On the other hand, computer-aided engineering (CAE) systems have become popular for maintaining the information relevant to describe the function of the process as well as equipment data. This contribution proposes an integration of these two specialized types of systems. First, such an integration allows to understand the design context in which models have been used. Further, an export functionality of the CAE system allows the modeler to generate a skeleton model that can be modified or enriched, instead of starting modeling from scratch for each model-based task.