PCH202 PROCESS MODELING AND SIMULATION

 

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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, McGraw-Hill (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).