## TIEE3030 Syllabus - Process Modelling And Simulation - 2022 Regulation Anna University

TIEE3030

PROCESS MODELLING AND SIMULATION

L T P C

3003

COURSE OBJECTIVES:
• To understand the important of mathematical models for Industrial processes
• To acquaint students with different forms of mathematical models.
• To develop and simulate mathematical models for different Industrial processes.
• To apply Mathematical tools while developing mathematical models.
• To analyze the graphical response of developed mathematical models.

UNIT I

GENERAL PRINCIPLES OF MODELLING

(7+2 SKILL)9

Introduction to mathematical modeling; Advantages and limitations of models and applications of process models of stand-alone unit operations and unit processes; Classification of models: Linear vs Nonlinear, Lumped parameter vs. Distributed parameter; Static vs. Dynamic, Continuous vs. Discrete; Numerical Methods: Iterative convergence methods, Numerical integration of ODE- IVP and ODEBVP

UNIT II

MODELLING OF DISTRIBUTED PROCESSES

(7+2 SKILL)9

Steady state models giving rise to differential algebraic equation (DAE) systems; Rate basedApproaches for staged processes; Modeling of differential contactors – distributed parameter models of packed beds; Packed bed reactors; Modeling of reactive separation processes; Review of solution strategies for Differential Algebraic Equations (DAEs), Partial Differential Equations (PDEs), and available numerical software libraries.

UNIT III

INTRODUCTION TO PROCESS MODELLING

(7+2 SKILL)9

Concept of degree of freedom analysis: System and its subsystem, System interaction, Degree of freedomin a system e.g. Heat exchanger, Equilibrium still, Reversal of information flow, Design variable selectionalgorithm, Information flow through subsystems, Structural effects of design variable selection, PersistentRecycle.

UNIT IV

MODELLING OF INDUSTRIAL PROCESSES

(7+2 SKILL)9

Simple examples of process models; Models giving rise to nonlinear algebraic equation (NAE) systems, -steady state models of flash vessels, equilibrium staged processes distillation columns, absorbers,strippers, CSTR, heat exchangers, etc.; Review of solution procedures and available numerical softwarelibraries

UNIT V

SIMULATION OF MATHEMATICAL MODELLING

(7+2 SKILL)9

Simulation and their approaches, Modular, Sequential, Simultaneous and Equation solving approach, Simulation softwares and their applications, Review of solution techniques and available numerical software libraries.- Case Studies.

TOTAL: 45 PERIODS

COURSE OUTCOMES:
CO1 Will be able to understand different methods of developing models for industrial processes.
CO2 Able to build mathematical models by applying relevant mathematics.
CO3 Able to implement mathematical models using relevant software.
CO4 Effectively perform analysis and subsequent conclusion for the developed mathematical models.
CO5 Able to interpret the results obtained from the mathematical model in terms of original real world problem

TEXT BOOKS:
1. Denn M. M.,"Process Modeling", Longman, 1986, 1st Edition.
2. Aris R.,"Mathematical Modeling,A Chemical Engineering Perspective (Process System Engineering)", Academic Press, 1999, Volume 1.

REFERENCES:
1. Luyben W.L., “Process Modeling, Simulation, and Control for Chemical Engineering”, McGraw Hill, 2nd Edition, 1990.
2. D. F. Rudd and C. C. Watson, “ Strategy of Process Engineering”, Wiley international, 1st Edition, 1968.
3. M.M. Denn, “Process Modelling”, Wiley, New York, 1st Edition, 1986.
4. A. K. Jana, “Chemical Process Modelling and Computer Simulation”, PHI,1st Edition, 2011.
5. C.D. Holland, “Fundamentals of Modelling Separation Processes”, Prentice Hall, , 1st Edition, 1975.
6. HussainAsghar, “Chemical Process Simulation”, Wiley Eastern Ltd., New Delhi, , 1st Edition, 1986.