In this study of designing a wind turbine using wind energy potential, a case of FUTA. Weibull distribution function method was adopt with the help of probability density function and cumulative density function analysis, the wind speed characteristics and energy potential of the study area was investigated using hourly wind speed data that span between 1 and 12 months (1year) and measured at a height of 10 m. Hellmann power law was used to derive the wind characteristics of the study area to 20m, 30m, 40m, 50m, and 60m heights respectively. The data was analyzed and plotted using R-studio and Microsoft Excel. It was shown that the monthly mean wind speed at the 10m height original data collected are 1.8m/s, 1.13m/s, 1.12m/s, 1.3m/s, 1.47m/s, 1.49m/s, 1.79m/s, 1.80m/s, 1.44m/s, 1.40m/s, 1.58m/s, respectively. The type of wind turbine that can work perfectly in the study area was determined which is “AVANTIS-927”. According to this research the performance of this selected wind turbine models on monthly basis would be able to produce rated power between (3Kw to 50Kw) at a varying height, i.e. depending on the height of the tower because the higher the turbine tower the more efficient the turbine to produce power.
TABLE OF CONTENTS
Certification i
Dedication ii
Acknowledgement iii
Abstract iv
Table of v
List of Tables vi
List of Figures vii
CHAPTER ONE
1.0 Introduction 1-3
1.1 Site selection for a wind turbine 3-4
1.2 Statement of problem 4
1.3 Justification of the study 5
1.4 Research questions 5
1.5 Aim and objectives 5
1.5.1 Aim 5
1.5.2 Objective 5
CHAPTER TWO
2.0 Literature review 6 - 11
2.1 Wind turbine 11 – 12
2.1.1 Advantages of wind turbine 12 – 13
2.1.2 Disadvantages of wind turbine 13 – 14
2.1.3 Types of wind turbine 15 – 20
2.2 Design of wind turbine 20 – 22
2.3 Aerodynamic of wind turbine 22
2.3.1 Power coefficient and Betz’s law 22
2.3.2 Lift and drag force 23
CHAPTER THREE
3.0 Study area 24
3.1 Location 24-25
3.2 Data and Methodology 26
3.2.1 Data 26
3.2.2 Methodology 26 – 28
3.2.2.2 Determination of Weibull parameter 28 – 29
3.2.2.3 Mean wind power density and energy density 29
3.2.2.4 Wind profile 30-31
3.2.2.5 Mean wind speed variance 31
CHAPTER FOUR 4.0 Result and discussion 32
4.1 Weibull Probability Density function and cumulative Density function 40
4.1.1 Probability Density function 40 – 43
4.1.2 Cumulative Density function 44 – 50
4.2 Time series analyses 51
4.2.1 Daily mean wind speed (time series) 51
4.2.2 Daily mean wind speed (flow chart) 52
4.3 Mean wind speed and variances 53
4.4 Most probable wind speed and wind speed carrying maximum energy 53 - 57
4.5 Wind power density and energy density at all height 57 - 59
4.6 Annual mean wind and mean power density 69 - 62
4.7 Analyses of wind speed and Weibull parameters (k-shape factor and c-scale factor) 62 – 66
4.8 Wind turbine power output 67 – 68
CHAPTER FIVE
5.0 Conclusion and Recommendation 69
5.1 Conclusion 69 - 70
5.2 Recommendation 71
References 72 - 77
