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2010/1 Module Catalogue
Module Provider: Civil, Chemical & Enviromental Eng Short Name: ENGM214
Level: M Module Co-ordinator: YANG A Dr (C, C & E Eng)
Number of credits: 15 Number of ECTS credits: 7.5
Module Availability
Assessment Pattern
Written 2 hour examination (closed book)
Coursework (Individual, problems (computer-based)
Qualifying Condition(s)
An overall mark of 50% is required to pass the module.
Module Overview

This module addresses the concepts, methods, and tools of process modelling and simulation. It will be delivered by a mix of formal lectures and computer labs.

Module Aims
To provide a systematic introduction to the concepts, principles, methods, and related software tools for mathematical modelling and simulation of chemical process systems.
Learning Outcomes
On successful completion of the module, you will be able to:
          Identify and explain the types of mathematical models
          Explain and apply the workflow of developing models and conducting numerical simulations;
          Select the proper type of tools for a given problem; and
Apply standard tools to solve practical engineering problems.
Module Content
1. General concepts: System, model, simulation
2. Construction of mechanistic models: conservation laws, constitutive relations, dynamic and steady-state models, lumped and distributed models.
3. Solution of equation systems (simulation): algebraic equation systems; Differential / algebraic differential equation systems; Partial differential systems.
4. Parameter estimation: data acquisition, parameter estimation methods, error analysis.
6. Modular simulation: sequential approach, partitioning, convergence of loops, simultaneous modular approach
6. Introduction to data-driven/statistical modelling: regression models, Neural Networks, hybrid models.

7. Introduction to modelling and simulation tools:
-          flowsheeting tools – ASPEN Plus, ChemCAD
-          equation-oriented tools – GAMS, gPROMS
-          statistical modelling tools - MATLAB
8. Flowsheeting with Aspen Plus: case studies.
Methods of Teaching/Learning
Lectures (50%) + working session mainly in form of computer labs (50%)
Total student learning time 150 hours.
Selected Texts/Journals
Required reading
Recommended background reading
K. Hangos, I. Cameron, Process Modelling and Model Analysis, Academic Press, 2001.
W. F. Ramirez, Computational methods for process simulation,Butterworth-Heinemann, 1997.
W. L. Luyben, Process modeling, simulation, and control for chemical engineers, McGraw-Hill, 1990.
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