PCH202 PROCESS MODELING AND
SIMULATION 


L 
T 
P 
Cr 

3 
0 
2 
4 
Course Objective:
Learn to
develop mathematical models of phenomena involved in various chemical
engineering processes and solutions for these models.
Introduction: Process modeling and simulation, Industrial usage of process modeling and simulation, Macroscopic and microscopic mass,
energy and momentum balances.
Process Models: Classification of
mathematical models: Transport phenomena, population balance, Models for flash
vessels, reactors, heat exchangers, distillation columns, absorption columns
etc.
Process Simulation: Problem formulation,
Flow sheeting problem, Specification problem, Optimization problem, Synthesis
problem, Simulation approaches: Modular, equation solving, Decomposition of
networks: Partitioning, tearing, signal flow graphs, System stability, Sensitivity,
Determinacy.
Process Simulator(s): Commercial simulation
packages (Aspen Plus/Aspen Hysys) for steady state
simulation, Modeling and simulation of complex
industrial systems in petroleum, petrochemicals, polymers etc.
Recommended Books:
1.
Luyben,
W.L., Process Modeling, Simulation, and Control for
Chemical Engineers, McGrawHill (1990).
2.
Himmelblau,
D.M. and Bischoff, K.B., Process Analysis and Simulation: Deterministic
Systems, John Wiley (1968).
3.
Himmelblau,
D.M and Bischoff, K.B., Process Analysis and Simulation: Stochastic Systems,
John Wiley (1968).