6 ECTS credits
150 h study time

Offer 1 with catalog number 4012241FNR for all students in the 2nd semester at a (F) Master - specialised level.

Semester
2nd semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
Registration for 'Modelling of (Bio-)Chemical Processes' is allowed if one has successfully accomplished 'Mathematical and Physical Models: Data Analysis in Biotechnology' is registered for or has successfully accomplished 'Biochemical Engineering'.
Taught in
Dutch
Faculty
Faculty of Sciences and Bioengineering Sciences
Department
Bio-Engineering Sciences
Educational team
Gert Desmet (course titular)
Joeri Denayer
Activities and contact hours
26 contact hours Lecture
26 contact hours Seminar, Exercises or Practicals
Course Content

The course aims at learning students to autonomously model bio(-chemical) processes and program numerical routines to solve the model equations.

For this purpose, the students will be trained in modeling via Matlab as well as via a state-of-the art software package (Athena) for the solution of partial differential equations.

Examples of systems and processes which will be modelled:
-diffusion processes in cells and catalyst particles
-diffusion of a polymer in liquid food, controlled release of bioactive compounds,…
-reactors: batch, CSTR, plug flow, plug flow with axial dispersion
-deactivation of catalysts (including enzymes)
-fermentation processes
-analytical and preparative chromatography columns

Additional info

 a set of copies with Matlab-syntax will be handed out to the students

..

Learning Outcomes

General competencies

- Being able to develop simple and complex models for the quantitative and qualitative description of (bio) chemical systems and processes.
- Having acquired sufficient numerical and programming skills to be abel to apply these models to solve real life problems..

 

- Use the developed models for parameter estimation and model discrimination.

- Explain the effect of changes in operating conditions on process behavior.