Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
8MAKS418Wind Power3+0+036

Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Computer Engineering
Mode of Delivery Face to Face
Type of Course Unit Elective
Objectives of the Course To explain the basic concepts and relations of wind energy and the methods and methods of wind data analysis. To introduce the working principles and components of wind turbines. Explaining how energy calculations of a wind turbine in a given area are done by direct and statistical methods.
Course Content Energy and its types. Definition, types, basic properties and classification of renewable energy sources. Energy conversion efficiency. Basic concepts and relations related to wind energy. Coriolis Force. Global Winds, Local Winds. Wind Speed ??Measurement, Wind Roughness, Roughness and Wind Trimming. Turbulence, Wind Obstacles, Wind Shadow, Wake Effect, Park Effect, Speed ??Effect. Selection of Turbine Location, Offshore Wind Conditions. Working principles of wind turbines, types, properties of components, turbines control, lift and drag forces, rotor aerodynamics, yaw mechanism, pitch and stall control. Wind Turbine Energy Generation Calculation of Wind Variations: Weibull Distribution, Average Bottle Length Approach, Average Wind Power, Betz Law, Power Density Function, Power Curve of Wind Turbine, Power Factor, Wind Turbine Annual Power Generation (Direct and Statistical Methods). Wind Turbine Design: Wind Turbines: Horizontal, Vertical Axis? Wind Up Area (Upwind), Downwind Turbines, Number of Blades.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Associate Prof.Dr. Gökhan Bulut
Name of Lecturers None
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources WIND ENERGY EXPLAINED Theory, Design and Application Second Edition, J. F. Manwell and J. G. McGowan.
WIND ENERGY HANDBOOK, Tony Burton, David Sharpe, Nick Jenkins,Ervin Bossanyi.
Lecture

Course Category
Mathematics and Basic Sciences %20
Engineering %50
Engineering Design %10
Field %20

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 3 42
Mid-terms 1 10 10
Final examination 1 20 20
Total Work Load   Number of ECTS Credits 4 114

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 -
2 -
3 -
4 -


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction: Energy and its types. Definition, types, basic characteristics and classification of renewable energy sources. Energy conversion efficiency.
2 Wind Energy Reources: Coriolis Force, Global Winds, Geostrophic Wind, Local Winds, Energy in the Wind: Air Density and Rotor Area, Deflection of the Wind, Wind Power: Wind Speed ??Cube, Wind Speed ??Measurement: Anemometers.
3 Wind Energy Resources: Wind Speed ??Measurement in Application, Wind Rose, Roughness and Wind Shear, Roughness Rose, Wind Speed ??Variability, Turbulence Wind Obstacles.
4 Wind Energy Resources: Wind Shadow, Wake Effect, Park Effect, Speed Effect: Tunnel Effect, Speed Effect: Hill Effect
5 Wind Energy Resources: Turbine Siting, Offshore Wind Conditions
6 Wind Turbines: Wind Turbine Components, Wind Turbine Aerodynamics - Lift, Wind Turbine Aerodynamics - Stall and Drag, Rotor Aerodynamics Rotor Blades
7 Wind Turbine Power Control, Wind Turbine Yaw Mechanism, Wind Turbine Towers, Wind Turbine Gear Boxes, Wind Turbine Dimensions
8 Midterm exam
9 Wind Turbine Design: Wind Turbines: Horizontal, Vertical Axis, Wind Front Area (Upwind), Downwind Turbines, Wind Turbines: Number of Blades
10 Calculation of Wind Turbine Energy Generation: Definition of Wind Changes: Weibull Distribution, Average Bottle Length Approach, Average Wind Power
11 Wind Turbine Power Generation: Betz`s Law, Power Density Function, Wind Turbine Power Curve, Power Factor, Wind Turbine Annual Power Generation
12 Estimation of Wind Turbine Energy Production Using Statistical Techniques, Idealized Wind Turbine Production Calculations Using Rayleigh Distribution, Productivity Calculations for a Real Wind Turbine Using Weibull Distribution
13 Statistical Analysis of Wind Data, Probability Density Function and Cumulative Distribution Function
14 Commonly Used Probability Distributions, Rayleigh Distribution, Weibull Distribution
15 Sample Problem Solutions
16 Final exam


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 3 3 4 4
C1
C2
C3
C4

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https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=206111&curProgID=5607&lang=en