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Year/Semester of Study | 1 / Spring Semester | ||||
Level of Course | 2nd Cycle Degree Programme | ||||
Type of Course | Optional | ||||
Department | ELECTRICAL AND ELECTRONICS ENGINEERING (MASTER) | ||||
Pre-requisities and Co-requisites | None | ||||
Mode of Delivery | Face to Face | ||||
Teaching Period | 14 Weeks | ||||
Name of Lecturer | MEHMET YEŞİLBUDAK (myesilbudak@nevsehir.edu.tr) | ||||
Name of Lecturer(s) | |||||
Language of Instruction | Turkish | ||||
Work Placement(s) | None | ||||
Objectives of the Course | |||||
To teach the use of wind energy in electricity generation and the components of wind energy conversion systems. |
Learning Outcomes | PO | MME | |
The students who succeeded in this course: | |||
LO-1 | know wind characteristics. |
PO-2 The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. PO-8 Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. |
Examination |
LO-2 | know wind speed and wind power prediction methods. |
PO-2 The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. PO-8 Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. |
Examination |
LO-3 | can explain the modeling of wind turbines. |
PO-2 The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. PO-8 Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. |
Examination |
LO-4 | can analyze the turbine placement in wind farms. |
PO-2 The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. PO-8 Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. |
Examination |
LO-5 | can explain the economic aspects of wind power. |
PO-2 The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. PO-8 Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. |
Examination |
PO: Programme Outcomes MME:Method of measurement & Evaluation |
Course Contents | ||
Wind energy, wind characteristics, wind measurement systems, prediction of wind potential, prediction of wind power production, classification of wind energy conversion systems, electric generators and power electronic converters in wind energy conversion system, performance curves in wind turbines, modeling of wind turbines, turbine placement and turbine arrays in wind farms, connection of wind farms to electric networks, economic aspects of wind power. | ||
Weekly Course Content | ||
Week | Subject | Learning Activities and Teaching Methods |
1 | Wind energy and its historical development | Lecture, question and answer, problem solving |
2 | Wind characteristics and wind measurement systems | Lecture, question and answer, problem solving |
3 | Prediction of wind potential with statistical and non-statistical methods | Lecture, question and answer, problem solving |
4 | Prediction of wind energy production with statistical and non-statistical methods | Lecture, question and answer, problem solving |
5 | Classification of wind energy conversion systems | Lecture, question and answer, problem solving |
6 | Electric generators in wind energy conversion systems | Lecture, question and answer, problem solving |
7 | Power electronic converters in wind energy conversion systems | Lecture, question and answer, problem solving |
8 | mid-term exam | |
9 | Performance curves in wind turbines | Lecture, question and answer, problem solving |
10 | Modeling of wind turbines | Lecture, question and answer, problem solving |
11 | Modeling of wind turbines | Lecture, question and answer, problem solving |
12 | Turbine placement and turbine arrays in wind farms | Lecture, question and answer, problem solving |
13 | Turbine placement and turbine arrays in wind farms | Lecture, question and answer, problem solving |
14 | Connection of wind farms to electricity networks and its effects | Lecture, question and answer, problem solving |
15 | Economic aspects of wind power | Lecture, question and answer, problem solving |
16 | final exam | |
Recommend Course Book / Supplementary Book/Reading | ||
1 | Wind Power in Power Systems, T. Ackermann, John Wiley & Sons Publication, 2005. | |
2 | Wind Energy Handbook, T. Burton, N. Jenkins, D. Sharpe, E. Bossanyi, John Wiley & Sons Publication, 2011. | |
3 | Wind Energy Explained: Theory, Design and Application, J.F. Manwell, J.G. McGowan, A.L. Rogers, John Wiley & Sons Publication, 2009. | |
Required Course instruments and materials | ||
Course book, notebook, projector. |
Assessment Methods | |||
Type of Assessment | Week | Hours | Weight(%) |
mid-term exam | 8 | 1 | 40 |
Other assessment methods | |||
1.Oral Examination | |||
2.Quiz | |||
3.Laboratory exam | |||
4.Presentation | |||
5.Report | |||
6.Workshop | |||
7.Performance Project | |||
8.Term Paper | |||
9.Project | |||
final exam | 16 | 1 | 60 |
Student Work Load | |||
Type of Work | Weekly Hours | Number of Weeks | Work Load |
Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
Outside Class | |||
a) Reading | 3 | 14 | 42 |
b) Search in internet/Library | 3 | 14 | 42 |
c) Performance Project | 0 | ||
d) Prepare a workshop/Presentation/Report | 0 | ||
e) Term paper/Project | 0 | ||
Oral Examination | 0 | ||
Quiz | 0 | ||
Laboratory exam | 0 | ||
Own study for mid-term exam | 2 | 13 | 26 |
mid-term exam | 1 | 1 | 1 |
Own study for final exam | 2 | 13 | 26 |
final exam | 1 | 1 | 1 |
0 | |||
0 | |||
Total work load; | 180 |