22NHT34 - Process Modeling and Simulation

Course specification
Course title		Process Modeling and Simulation
Acronym		22NHT34
Study programme
Module
Lecturer (for classes)		prof. dr Nikola Nikačević
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB		5.0	Status
Condition		Differential Equations, Thermodynamics, Introduction to Chemical Engineering, Programming, Physical Chemistry I, Fluid Mechanics	Облик условљености
The goal		The course goals are to acquire knowledge of mathematical modeling and to integrate fundamental knowledge of unit operations and reaction engineering. The theoretical basics of the subject are studied through examples of processes and devices that are essential for chemical engineering. These examples are used to illustrate different approaches and scales in process modeling. Students are referred to advanced computational methods and are familiarized with software packages for modeling and simulation.
The outcome		After completing and passing the exam, students will be able to: 1. Set up simple mathematical models of basic processes and equipment in chemical engineering. 2. Select a method and software package for deploying and solving a model. 3. Recognize and understand applied modeling approach and level of detail of a mathematical description of an existing complex model of chemical engineering system.
Contents
Contents of lectures		1. The purpose and objectives of the mathematical modeling for chemical engineering, classification of mathematical models, approaches to modeling; 2. Empirical approach to modeling of chemical engineering systems; 3. Fundamental approach - levels of mathematical description, microscopic - mechanisms of chemical reaction kinetics; mesoscopic - description of flow at vortex level, transport phenomena at particle level; macroscopic - flow regimes and phases, unit, process, plant; megascopic - systems integration, dispersion of pollutants and impact on the environment; 4. Dynamic modeling and simulations, models of inherently dynamical processes; 5. Stochastic modeling approach and its application to chemical engineering systems; 6. Population balance approach and nonideal flow models.
Contents of exercises		The practical classes are conducted in the computer lab, where students set up and solve simple models of chemical engineering systems. Examples are directly connected with the theory, and the models are solved using programming languages and packages. In the examples parameters and operating conditions are varied, so that students perceive possibilities and the roles of computer simulations. Students also learn the basic functions and capabilities of the process simulators and CFD simulators through several simple examples.
Literature
Material from the lectures and practical exercises A. Gilat. MATLAB. An Introduction With Applications, Mikro knjiga, 2004 (in Serbian) K.J. Beers, Numerical Methods for Chem. Eng. Aplications in MATLAB, Oxford Uni, 2007 B.W. Bequette, Process Dynamics: Modeling, Analysis and Simulation, Prentice Hall, 1998 W.L. Lyben, Process Modeling, Simulation and Control for Chem. Eng., McGraw Hill,1996
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
2		2
Methods of teaching		Lectures with examples, practical classes in the computer laboratory, consultations
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures			Test paper	40
Practical lessons			Oral examination
Projects
Colloquia		60
Seminars