ECTS - Optimization in Energy Systems
Optimization in Energy Systems (ENE422) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Optimization in Energy Systems | ENE422 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Technical Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Question and Answer, Drill and Practice, Team/Group, Brain Storming, Project Design/Management. |
| Course Lecturer(s) |
|
| Course Objectives | This course is designed to introduce the basic concepts of optimization, optimization techniques and applications in energy systems engineering |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Fundamentals of optimization, graphical optimization, linear and nonlinear programming, unconstrained and constrained optimization, global optimization, MATLAB applications, case studies in energy systems engineering. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to Optimization | |
| 2 | Introduction to Optimization | |
| 3 | Graphical Optimization | |
| 4 | Linear Programming | |
| 5 | Nonlinear Programming | |
| 6 | Numerical Techniques | |
| 7 | Unconstrained Optimization | |
| 8 | Constrained Optimization | |
| 9 | Midterm Exam | |
| 10 | Global Optimization | |
| 11 | Optimization Toolbox from MATLAB | |
| 12 | Analysis of Optimization Problems in Energy Systems Engineering | |
| 13 | Analysis of Optimization Problems in Energy Systems Engineering | |
| 14 | Solution of Optimization Problems in Energy Systems Engineering | |
| 15 | Solution of Optimization Problems in Energy Systems Engineering | |
| 16 | Final Exam |
Sources
| Other Sources | 1. EngineerinOptimization Methods and Applications, A. Ravindran, K.M. Ragsdell, G.V. Rektaitis, 2nd Edition, 2006, Wiley |
|---|---|
| 2. Multidiscipline Design Optimization, G. N. Vanderplaats, VR&D, Inc., Monterey CA, 2007 0-944956-04-1 | |
| 3. Energy Systems: Optimization, Modeling, Simulation, and Economic Aspects, Journal, Springer, ISSN: 1868-3967 | |
| 4. Applied Optimization with MATLAB Programming, Wiley, by P. Venkataraman (2002). | |
| 5. Practical Optimization (Algorithms and Engineering Applications), (Springer) by Antoniou, Andreas and Lu, Wu-Sheng (2007). | |
| 6. Numerical Optimization (Springer) by Jorge Nocedal and Stephen Wright (2006). |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | 1 | 10 |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 6 | 20 |
| Presentation | - | - |
| Project | 1 | 30 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 40 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 10 | 130 |
| Percentage of Semester Work | 70 |
|---|---|
| Percentage of Final Work | 30 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | An ability to apply knowledge of mathematics, science, and engineering. | X | ||||
| 2 | An ability to design and conduct experiments, as well as to analyze and interpret data. | X | ||||
| 3 | An ability to design a system, component, or process to meet desired needs. | X | ||||
| 4 | An ability to function on multi-disciplinary teams. | X | ||||
| 5 | An ability to identify, formulate, and solve engineering problems. | X | ||||
| 6 | An understanding of professional and ethical responsibility. | X | ||||
| 7 | An ability to communicate effectively. | X | ||||
| 8 | The broad education necessary to understand the impact of engineering solutions in a global and societal context. | X | ||||
| 9 | Recognition of the need for, and an ability to engage in life-long learning. | X | ||||
| 10 | Knowledge of contemporary issues. | X | ||||
| 11 | An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. | X | ||||
| 12 | Skills in project management and recognition of international standards and methodologies | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 2 | 28 |
| Presentation/Seminar Prepration | |||
| Project | 1 | 20 | 20 |
| Report | |||
| Homework Assignments | 3 | 3 | 9 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
| Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
| Total Workload | 125 | ||