Computational Process Engineering

The course covers various modelling approaches, their physical principles, typical solution methods, and respective advantages and disadvantages. This involves equilibrium and stirred-tank reactor models (0d),reactive and non-reactive plug flows as well as axial dispersion models (1d),computational fluid dynamics (2d and 3d),and network models. Based on industrial applications, the question will be answered, which modelling approach is favourable for the specific question.

Model-based analyses of different reactors and processes will be conducted in seminars. Finally, in practica the students develop their own numerical models and utilize them for process optimization.

The following course/module was developed at the TU Bergakademie Freiberg.

Learning outcomes / Competencies:

• learn various approaches for modelling fluid dynamics and chemical processes and sub-processes, covering simple equilibrium approaches as well as advanced techniques such as computational fluid dynamics (CFD)
• compare modelling approaches and point out advantages and disadvantages for various sub-processes of a process plant
• identifying the most appropriate modelling approach for the solution of specific problems
• apply the modelling approaches to simple systems and know the possibilities for the analysis and optimization of the respective process