15. Conclusion

With shortage of energy supply prominent in most developing countries especially in Africa, the need for clean and self-replenishing alternative energy supply cannot be over emphasized. A wind energy conversion system with different wind speed, made up of the blades, drive train and SCIG was modeled for Ogoja community in the southern part of Nigeria as presented. The output power, turbine speed and torque were simulated in MATLAB SIMULINK environment

direction. The higher the speed, the more power that will be generated. Hence the generator speed is proportional to the turbine speed. The speed from the wind is not sufficient to move the turbine blades until around 0.35 s when the speed starts progressing gradually, leading to a proportional decrease in generator speed

The turbine generates fluctuating values of electrical power peaking at about 80 W at 0.25 s in the simulation. These results are gotten at rated wind speed of

(Figure 19).

62

Figure 14.

Wind torque @ 1 m/s.

Figure 13.

Wind torque @ 0 m/s.

Wind Solar Hybrid Renewable Energy System

3.2 m/s and zero pitch angle.

Figure 17. Turbine speed.

Figure 18. Generator speed.

Author details

Gabriel Modukpe<sup>1</sup>

65

\* and Don Diei<sup>2</sup>

2 University of Port Harcourt, Port Harcourt, Nigeria

\*Address all correspondence to: gabrielmodukpe@gmail.com

© 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

Modeling and Simulation of a 10 kW Wind Energy in the Coastal Area of Southern Nigeria…

DOI: http://dx.doi.org/10.5772/intechopen.85064

1 Rivers State University, Port Harcourt, Nigeria

provided the original work is properly cited.

Figure 19. Electrical power.

successfully. Tests were carried out on the system and showed that turbine speed and wind speed are proportional to power response when simulated. The generated power increases with the turbine speed, making the model useful as wind energy is generated at different wind spend, and this has been able to unveil that even at different wind speed, wind energy potential is available in the coastal area of southern Nigeria. This energy could be used for distributed generation for these communities isolated from the grid.

Modeling and Simulation of a 10 kW Wind Energy in the Coastal Area of Southern Nigeria… DOI: http://dx.doi.org/10.5772/intechopen.85064
