Module Code: ENGM214 |
Module Title: PROCESS MODELLING AND SIMULATION |
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Module Provider: Civil, Chemical & Enviromental Eng
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Short Name: ENGM214
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Level: M
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Module Co-ordinator: YANG A Dr (C, C & E Eng)
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Number of credits: 15
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Number of ECTS credits: 7.5
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Module Availability |
Autumn |
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Assessment Pattern |
Written 2 hour examination (closed book)
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50%
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Coursework (Individual, problems (computer-based)
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50%
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Qualifying Condition(s)
An overall mark of 50% is required to pass the module.
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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. |
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Prerequisites/Co-requisites |
None |
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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. |
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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. |
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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.
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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.
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Methods of Teaching/Learning |
Lectures (50%) + working session mainly in form of computer labs (50%)
Total student learning time 150 hours. |
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Selected Texts/Journals |
None
Required reading
None
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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Last Updated |
02/10/2009 |
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