ECTS - Wind Energy Technologies
Wind Energy Technologies (ENE312) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Wind Energy Technologies | ENE312 | Area Elective | 3 | 1 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Demonstration, Discussion, Experiment, Question and Answer, Drill and Practice. |
Course Lecturer(s) |
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Course Objectives | To teach the fundamentals of wind and wave energy conversion systems. To introduce the basic design parameters in projecting wind turbines. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | Wind characteristics, wind energy, wind turbines, design of wind turbines, projecting, planning and economy, wave energy and wave energy conversion systems. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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1 | Physics of Wind | Chapter 1 |
2 | Wind Energy and Power | Chapter 2 |
3 | Small Turbines | Chapter 3 |
4 | Utility Scale Turbines | Chapter 4 |
5 | Electrical Components of Turbines | Chapter 5 |
6 | Aerodynamics of Wind Turbine Blades | Chapter 6 |
7 | Project Sitting | Chapter 7 |
8 | Midterm Exam | |
9 | Wind Resource Assessment | Chapter 8 |
10 | Wind Speed and Direction Measurement | Chapter 9 |
11 | Assessment and Planning of Wind Projects | Chapter 10 |
12 | Installation and Commissioning of Wind Projects | Chapter 11 |
13 | Wind Energy Economics | Chapter 12 |
14 | Wave Energy | |
15 | Wave Energy Conversion Systems | |
16 | Final Exam |
Sources
Course Book | 1. Wind Energy Engineering, 1st Edition, Pramod Jain, 2011, Mc-Graw Hill |
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Other Sources | 2. Ocean Energy Tide and Tidal Power, Roger H. Charlier &Charles W. Finkl, Springer, 2009 |
3. Wave Energy Conversion, John Brooke, Elsevier Ocean Engineering Series Volume 6, 2003. | |
4. Wind Energy Renewable Energy and the Environment, Vaughn Nelson, Taylor& Francis, 2009 | |
5. Wind and Solar Power Systems: Design, Analysis, and Operation, Second Edition, Mukund R. Patel, Taylor Francis (2005) | |
6. Wind Energy Explained, Theory, Design and Application, J.F. Manwell, J.G. Mcgowan and A. Rogers, Wiley 2002 | |
7. Wind Energy, Fundamentals, Resource Analysis and Economics, Sathyajith Mathew, Springer-VBH, 2006. |
Evaluation System
Requirements | Number | Percentage of Grade |
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Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 1 | 10 |
Presentation | - | - |
Project | 1 | 20 |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 30 |
Final Exam/Final Jury | 1 | 40 |
Toplam | 4 | 100 |
Percentage of Semester Work | 60 |
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Percentage of Final Work | 40 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
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 | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. | |||||
2 | The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. | |||||
3 | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | |||||
4 | The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. | |||||
5 | The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline. | |||||
6 | The ability to work effectively in inter/inner disciplinary teams; ability to work individually | |||||
7 | Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. | |||||
8 | The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions. | |||||
9 | Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology. | |||||
10 | The ability to behave according to ethical principles, awareness of professional and ethical responsibility; | |||||
11 | Knowledge of the standards utilized in software engineering applications | |||||
12 | Knowledge on business practices such as project management, risk management and change management; | |||||
13 | Awareness about entrepreneurship, innovation | |||||
14 | Knowledge on sustainable development | X | ||||
15 | Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety; | |||||
16 | Awareness of the legal consequences of engineering solutions | |||||
17 | An ability to describe, analyze and design digital computing and representation systems. | |||||
18 | An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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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 | 1 | 5 | 5 |
Project | 1 | 15 | 15 |
Report | |||
Homework Assignments | 4 | 2 | 8 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
Total Workload | 129 |