Course detail
Modelling of Processes
FSI-IMPAcad. year: 2015/2016
In the course, students will get acquainted with basic types of mathematic models used for design, analysis and optimization of process systems and equipment.
• Model of processing line describing mass and energy balance of a continuous process
• Model of process equipment describing a batch process
• Model for the optimization of a process or equipment
• Model for detailed analysis of conditions inside of an equipment
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
EXAM: The exam is written. Maximum overall number of points that can be obtained within the course is 100. The course evaluation is performed by a standard procedure, according to the number of obtained points (0-50 points …F, 51-60 points …E, 61-70 points …D, 71-80 points …C, 81-90 points …B, more than 90 points …A).
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Ramirez, W. F.: Computational Methods for Process Simulation, 2 edition. Oxford ; Boston: Butterworth-Heinemann, 1998
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Mass balance, species balance, energy balance, material and energy streams, unit operations, extensive and intensive properties.
3. Simulation and modelling. Simple models. Mixers, splitters, manipulators, heat exchangers.
4. Degrees of freedom, solvability, sequential modular simulation. System description by equations. Recycle stream and iterative solution.
5. Steady and unsteady, continuous and batch process. Chemical reaction kinetics, equilibrium, conversion.
6. Sensitivity analysis. Objective function, feasible set, optimization. Hierarchy of process/equipment model and optimization.
7. Algebraic systems of equations, application to process system balancing.
8. Example problem – process system balancing using software W2E
9. System of ordinary differential equations, application to simulation of process systems.
10. Example problem – Simulation of process systems in MATLAB.
11. System of partial differential equations, application to stress/strain analysis in ANSYS.
12. System of partial differential equations, application to fluid flow analysis.
13. Example problem – fluid flow in ANSYS FLUENT.
Exercise
Teacher / Lecturer
Syllabus