Course detail
Computer Aided Design in Chemical Engineering
FSI-9SVCAcad. year: 2022/2023
The postgraduate students will get acquainted with process simulations and computer-aided design of processes and equipment. The course includes classification of mathematical modelling approaches for systems with mass and heat transfer, fluid flow, and chemical reactions. The students will enhance their knowledge of balancing and simulations of complex systems including multiphase, reactive, or transient processes. Furthermore, attention will be paid to numerical methods for the solution of systems of equations. Optimisation techniques for process systems will also be discussed together with error propagation and regression analysis.
Language of instruction
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Students will understand the principles of mathematical modelling and simulations of complex systems. They will have general knowledge regarding computer-aided design, analysis, and optimisation.
Prerequisites
Graduate-level knowledge of mathematics, physics, and chemistry.
Co-requisites
Planned learning activities and teaching methods
The course is taught through lectures focused on the topics required to finish the chosen doctoral projects. These include using appropriate software tools.
Assesment methods and criteria linked to learning outcomes
Each student will develop a model of a process or a simulation model related to their doctoral thesis.
Course curriculum
• Balancing of complex systems including multiphase, reactive, or transient processes
• Modelling of systems with mass and heat transfer, fluid flow, and chemical reactions
• Process simulations utilising the modular approach
• Process simulations utilising the equation approach
• Numerical methods for the solution of systems of equations
• Transient process simulations
• Optimisation techniques pro process systems
• Error propagation
• Regression analysis
Work placements
Aims
The main aim of the course is for students to be able to develop, implement, and apply models suitable for solving problems related to their doctoral theses.
Specification of controlled education, way of implementation and compensation for absences
Attendance at lectures is recommended. Absences are compensated by self-study of the literature specified by the lecturer or, if needed, by pre-arranged consultations at which the models developed by the students are discussed.
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Felder, R. M.; Rousseau, R. W.; Bullard, L. G.: Elementary Principles of Chemical Processes, 4th ed., Wiley, Hoboken, NJ, USA (2015) (EN)
Chaves, I. D.; López, J. R.; Zapata, J. L.; Robayo, A. L.; Niño, G. R.: Process Analysis and Simulation in Chemical Engineering, Springer, Cham, Switzerland (2016) (EN)
Recommended reading
Puigjaner, L.; Heyen, H. (Eds.): Computer Aided Process and Product Engineering, Wiley-VCH Verlag GmbH, Weinheim, Germany, (2006) (EN)
Upreti, S. R.: Process Modeling and Simulation for Chemical Engineers: Theory and Practice, Wiley, Hoboken, NJ, USA (2017) (EN)
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Classification of mathematical modelling approaches
- Balancing of complex systems including multiphase, reactive, or transient processes
- Modelling of systems with mass and heat transfer, fluid flow, and chemical reactions
- Process simulations utilising the modular approach
- Process simulations utilising the equation approach
- Numerical methods for the solution of systems of equations
- Transient process simulations
- Optimisation techniques pro process systems
- Error propagation