Objectives and competences
Objectives:
The aim of the course is to teach how to systematically build mathematical models of industrial and power process from basic physical laws and from measured signals. The course is of an interdisciplinary character and will give insights which can be applied in most fields. To illustrate different techniques used in the modelling processes a several specific case studies will be studied.
Content (Syllabus outline)
• Introduction.
• Theory of system modelling: general aspects of modelling, static and dynamic systems, modelling methods, modelling based on analogy method, transfer functions of linear systems, generalization to nonlinear systems, linearization of non-linear systems, model simplification and evaluation of models.
• Modelling and simulation of energetic systems: simplified dynamic models of electric power system (sources of electrical energy, transmission lines, switch devices, loads), water, steam and wind turbines, energy storage systems, hydraulic elements, control valves, pipes, pumps, tanks, etc.
• Numerical and experimental determination of lumped parameters in dynamic models.
Learning and teaching methods
Lectures.
Laboratory and computer exercises.
Individual work.
Intended learning outcomes - knowledge and understanding
Knowledge and understanding:
• Characterize types of processes and simulations relevant to power engineering and energy systems.
• Identify modelling methods and their suitability for various processes.
• Discuss power system modelling relevant issues with a modelling specialist.
• Develop simple models of different power process and simulate them in Matlab/Simulink software package.
Intended learning outcomes - transferable/key skills and other attributes
Transferable/key competences and other abilities:
• Ability to analyse problems and find solutions in a multidisciplinary way.
• Project and team work.
• Simplification, assumptions and mathematical model simulations.
Readings
D. Flynn (Ed.): Thermal Power Plant Simulation and Control, London, 2003.
P .J. Thomas: Simulation of Industrial Processes for Control Engineers, Elsevier Science & Technology Books, 1999.
B. Zupančič: Computer Simulations, Univerza v Ljubljani, 2013, (in Slovene).
R. Karba: Process modelling, FE in FRI, Ljubljana, 1999, (in Slovene).
Software: Matlab/Simulink.
Additional information on implementation and assessment Method (written or oral exam, coursework, project):
laboratory work.
Written exam,
Notes:
Completed lab work.
