PCH202: PROCESS MODELLING AND SIMULATION 


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4.0 
Course Objective: Learn to develop mathematical models of phenomena involved in various chemical engineering processes and solutions for these models.
Introduction: Process modelling and simulation, Industrial usage of process modelling 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 flowgraphs, System stability, Sensitivity, Determinacy.
Process Simulator(s): Commercial simulation packages (Aspen Plus/Aspen Hysys) for steady state simulation, Modelling and simulation of complex industrial systems in petroleum, petrochemicals, polymers etc.
Course Learning Outcomes (CLO):
1. Understand the important physical phenomena from the problem statement
2. Develop model equations for the given system
3. Demonstrate the model solving ability for various processes/unit operations
4. Demonstrate the ability to use process simulation software
Recommended Books:
1. Luyben, W.L., Process Modelling, 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).