DESIGN AND OPTIMIZATION OF ENERGY SYSTEMS
- Course
- ENRE633 - DESIGN AND OPTIMIZATION OF ENERGY SYSTEMS
- Department
- Energy Systems Engineering - English - PhD
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
- -
Course Description
-
DESIGN AND OPTIMIZATION OF ENERGY SYSTEMS
Evaluation Tools (Active Term)
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Course outcomes
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Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to the course, Introduction to optimization; vectors, matrices, eigenvalues, eigenvectors |
| Week 2 | Formulation of optimization problems, Unconstrained optimization |
| Week 3 | Local extrema and optimality conditions |
| Week 4 | Convexity, concavity, energy systems related optimization |
| Week 5 | Unconstrained optimization algorithms |
| Week 6 | Introduction to Matlab, Solving unconstrained optimization problems by using Matlab |
| Week 7 | MIDTERM EXAM WEEK |
| Week 8 | MIDTERM EXAM WEEK |
| Week 9 | NATIONAL HOLIDAY |
| Week 10 | Constrained optimization |
| Week 11 | Constrained optimization (cont'd), Solving constrained optimization problems by using Matlab |
| Week 12 | PROJECT PRESENTATIONS |
| Week 13 | FINAL EXAM |
| Week 14 | - |
| Week 15 | - |
Reference Books & Course Materials
- 01 Edwin K. P. Chong, Stanislav H. Zak, An Introduction to Optimization, John Wiley and Sons, 2008.
- 02 David G. Luenberger, Yinyu Ye, Linear and Nonlinear Programming, 3rd Edition, Springer, 2008.
- 03 John W. Chinneck, Practical Optimization: a Gentle Introduction, 2000.
Learning Outcomes
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Program Outcomes
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