DEBUGGING STATIC AND DYNAMIC RIGOROUS MODELS FOR EQUATION-ORIENTED CAPE TOOLS

In the field of process simulation, a movement from modular oriented, which is currently the most widely used technique, to Equation-Oriented (EO) is clear. One of the key advantages of the EO approach is that the effort spent in model development is minimized by reusing the models in several different tasks, for instance: model linearization, simulation, optimization, and data reconciliation. EO tools support the implementation of models to a large extent, however there is almost no assistance in the model development process. In this work the currently available methods for detecting inconsistencies in systems of equations coming from both static and dynamic models are briefly reviewed. For the dynamic case a new algorithm is proposed. This algorithm is scalable for large problems and is a promising diagnosis tool to spread the usage of EO dynamic simulators. Finally, applications in test cases are used to illustrate the debugging techniques.