Computational Engineering for Renewable Energy Systems - 2021 entry
MODULE TITLE | Computational Engineering for Renewable Energy Systems | CREDIT VALUE | 15 |
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MODULE CODE | ENE3013 | MODULE CONVENER | Prof Justin Hinshelwood (Coordinator) |
DURATION: TERM | 1 | 2 | 3 |
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DURATION: WEEKS | 0 | 11 | 0 |
Number of Students Taking Module (anticipated) | 10 |
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Computers can use numerical methods and algorithms to analyse and solve problems, including fluid flows - fluids in motion. They can also perform stress analyses - to determine the stresses and strains in materials and structures subject to forces or loads. Computational engineering covers everything from aircraft, cars and racing cars to blood flow. Practical work and theory go hand in hand on this 100% coursework module, providing you with a solid introduction to Computational Fluid Dynamics (CFD) and Computational Stress Analysis (CSA); exploring the theory of CFD and Finite Element (FE) analysis, the mathematical modelling of fluids and stresses in solids, and computational issues. This module introduces you to numerical design approaches currently used in industry to analyse systems. You will examine their common pitfalls, as well as gaining experience of using commercial CFD and Finite Element (FE) codes. Practically, you will use industry standard codes to tackle miniprojects on fluid flow and stress analysis, which encourages you to work independently with industry standard codes. By the end of this module, you should have a strong grasp of CFD and FEA and be able to use the codes fluently to model various articles and systems, as well as having gained an introduction to Finite Difference techniques. You should also be competent in applying a numerical analysis for a specified engineering design problem and be able to check the accuracy of numerical results. Year 3 students often build on their computational engineering skills by applying them to their third year project, during the last term.
Prerequisite module: CSM1256, CSM1257, CSM2178, CSM2188, (data, systems and control module) or equivalent
The purpose of this module is to introduce you to the main numerical design approaches currently used by industry to analyse mechanical systems. You will examine common pitfalls associated with these approaches, and will gain experience in using common commercial CFD and FE codes. Furthermore, you will use numerical packages, giving you the ability to perform a more in-depth individual project in the sixth term. In addition, this module covers the topics of journal bearings and fracture, using a problem-based learning approach in the case studies, and examining them through the report and viva. You will hone your independent learning skills through investigating these topics through a combination of background reading, private study and computational analysis
On successful completion of this module you should be able to:
Module Specific Skills and Knowledge
2. Explain the basic concepts of Finite Difference, Finite Volume and Finite Element analysis, apply Finite Difference techniques to solve 1d PDE's;
Discipline Specific Skills and Knowledge
7. Incorporate computational analysis into the design process;
Personal and Key Transferable / Employment Skills and Knowledge
9. Monitor your own progress;
- Eleven teaching weeks, (see detailed learning outcomes/assessment criteria for detail);
- Introduction to computational methods and applications;
- Finite difference schemes: differencing, implicit vs explicit schemes, stability, convergence;
- Introduction to finite element techniques using 1-d : cantilever beam;
- Familiarisation with industry standard FE code;
- Shape functions;
- Stiffness Matrix;
- Von-Mises stress;
- Non-linear behaviour;
- introduction to CFD;
- Basics of Finite Volume methodology;
- PISO and SIMPLE algorithms;
- Boundary conditions;
- Turbulence modelling;
- Familiarity with Standard CFD code: simple flow cases, (flow around cylinder, lid driven cavity);
- Case studies: Long Journal Bearing Theory, Fracture Mechanics.
Scheduled Learning & Teaching Activities | 31 | Guided Independent Study | 69 | Placement / Study Abroad | 0 |
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Category | Hours of study time | Description |
Scheduled learning and teaching activities | 11 | Lectures |
Scheduled learning and teaching activities | 20 | Supervised computer time |
Guided independent study | 69 | Lecture and assessment preparation; wider reading |
Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Coursework | 100 | Written Exams | 0 | Practical Exams |
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Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Coursework – problem sheets | 30 | 5 hours | 1, 5, 9 | Written, e-mail and class discussion |
Coursework – 1st mini project | 35 | 30-50 hours | 3-5, 6-12 | Written, e-mail and class discussion |
Coursework - 2nd mini project | 35 | 30-50 hours | 3-5, 6-12 | Written, e-mail and class discussion |
Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
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As summative assessment | Coursework (100%) | All | Completed over summer with a deadline in August |
information that you are expected to consult. Further guidance will be provided by the Module Convener
Basic reading:
Web based and Electronic Resources:
Other Resources:
Reading list for this module:
Type | Author | Title | Edition | Publisher | Year | ISBN |
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Set | Versteeg H K and Malalasekera V | An Introduction to Computational Fluid Dynamics: The finite volume method | 2nd | Pearson/Prentice Hall | 2007 | 978-0131274983 |
Set | Henwood, D.J. and Bonet, J. | Finite Elements. A Gentle Introduction | Macmillan | 1996 | 978-0333646267 | |
Set | Chapra, S.C. and Canale. R.P | Numerical Methods for Engineers | 6th | McGraw-Hill | 2010 | 9780071267595 |
Set | Madenci, E. and Guven, I. | The Finite Element Method and Applications in Engineering Using ANSYS | Springer | 2015 | 978-1-4899-7550-8 |
CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
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PRE-REQUISITE MODULES | CSM1256, CSM1257, CSM2178, CSM2188 |
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CO-REQUISITE MODULES |
NQF LEVEL (FHEQ) | 6 | AVAILABLE AS DISTANCE LEARNING | No |
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ORIGIN DATE | Thursday 6th July 2017 | LAST REVISION DATE | Friday 5th November 2021 |
KEY WORDS SEARCH | Computational simulation; finite difference; finite volume; finite element; turbulence simulation; elasticity. |
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Please note that all modules are subject to change, please get in touch if you have any questions about this module.