Course content

The course is given every year. Simulators solve sets of equations representing the behaviour of plants, namely mathematical models for the plant. The topic of the course is to shed some light on what is under the hood of these simulators. The subject is extended by optimisers which are superimposed on the simulators upwards and physical property interfaces downwards.
The course touches on the theoretical subjects associated with the methods used in simulators and optimisers, such as graph theory for the representation of networks, sequential modular approaches and simultaneous equation approaches and possibly integrators.

Learning outcome

Knowledge:
Advanced subjects in the domain of process simulation
Skills:
Students work on projects that are relevant for the development and use of process-relevant software:
– numerical methods
– implementing coded versions of models into existing application programs
– utilisation of advanced software engineering concepts and methods
General competence:
Implementation of new and advanced methods in software dedicated to process analysis and process design.

Learning methods and activities

The course is a mix of lectures, self study and projects.

Required previous knowledge

Elementary knowledge in chemical engineering, numerical methods, linear algebra and computer programming.

Course materials

Handouts

Credit reductions