Technology of Process Modelling

5 credits

Syllabus, Master's level, 1KB756

A revised version of the syllabus is available.
Code
1KB756
Education cycle
Second cycle
Main field(s) of study and in-depth level
Chemistry A1N, Technology A1N
Grading system
Pass with distinction, Pass with credit, Pass, Fail
Finalised by
The Faculty Board of Science and Technology, 7 March 2017
Responsible department
Department of Chemistry - Ångström

Entry requirements

120 credits including Methods in Biotechnology. Participation in Scientific Computing II.

Learning outcomes

On completion of the course, the student should be able to:

  • describe and compare the fundamental properties of different types of reactors and different modes of operation, as well as determine using appropriate calculations the specifications for one or more reactors in order to fulfil given process requirements in relatively simple systems.
  • analyse and calculate material balances for non-reactive as well as reactive processes in single and multiple unit systems.
  • explain at a molecular level the mechanisms that are crucial for important for separation processes.
  • define and develop mathematical models for planning and optimising industrial chemical and biotechnological separation processes , using relevant mathematical tools.
  • give an overview of the overall process in large-scale industrial operations with relevance to production and purification of pharmaceuticals/biomolecules in terms of productivity.

Content

Chemical and biotechnological reactions and adsorption from a thermodynamik, kinetic and molecular perspective. Reactors. Steady-state operation. Material balance. Single and multiple unit systems. Degrees of freedom analysis. Rates of reactions. Conversion. Engineering separation methods in pilot and industry scale. Formulating and using mathematical models: empirical models, strictly mechanism-based analytical models, as well as stochastic models. Use of mathematical modelling and calculation programs. Modelling of homogeneous system. Introduction to modelling of two-phase system. Factors that affect productivity, yield and cost.

Instruction

Lectures, seminars, tutorials and laboratory exercises.

Assessment

Written examination at the end of the course (3 credits). Laboratory work and written assignments (2 credits). The final grade is based on a weighted average of the course components.

No reading list found.

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