Mapping Wind Energy Potential for Small-Scale Turbines on Campus at Akwa Ibom State University, Ikot Akpaden
Imo Edwin Nkan *
Department of Electrical and Electronic Engineering, Akwa Ibom State University, Nigeria.
Anyanime Tim Umoette
Department of Electrical and Electronic Engineering, Akwa Ibom State University, Nigeria.
Iniobong Edifon Abasi-Obot
Department of Electrical and Electronic Engineering, Akwa Ibom State University, Nigeria.
Andikan Kenneth Ekpa
Department of Electrical/Electronic Engineering, Akwa Ibom State Polytechnic, Nigeria.
Joseph Daniel Ikpe
Department of Electrical/Electronic Engineering, Akwa Ibom State Polytechnic, Nigeria.
Ekom Enefiok Okpo
Department of Electrical and Electronic Engineering, Akwa Ibom State University, Nigeria.
Dominic David Ekpo
Department of Mechanical Engineering, Akwa Ibom State University, Nigeria.
Bassey Dominic Nkanang
Department of Mechanical Engineering, Akwa Ibom State University, Nigeria.
Paul Edet Okon
Department of Electrical and Electronic Engineering, Akwa Ibom State University, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
As the need for clean energy is expanding, critical evaluation of renewable energy systems has become increasingly important to the energy research community and stakeholders. Wind energy is one of the fastest-growing renewable energy sectors, with the levelized cost of wind energy now comparable to electricity generated by thermal power stations such as coal and gas. It has grown rapidly in the early 21st century and is considered a renewable, relatively safe, and clean method of generating electricity. This study examines the wind resource potential at the Akpaden community and its suitability for siting a wind turbine to support the availability of electrical energy, research purposes, and for technology innovation. Wind data were collected and tabulated at various time intervals with respect to height for seven days using an anemometer. Statistical tool analysis was employed. Results showed slight variation in morning and afternoon wind speeds, with an overall average wind speed of 4.09 m/s obtained. The data were modelled using a wind equation, and at 12 m height, an average power output of about 180 W was estimated. A 300 W small-scale wind turbine was suggested for use. Results show that useful energy can be obtained from the wind available in Ikot Akpaden Community, though it is a little affected by height due to obstruction by buildings and trees. However, the limitations can be overcome when sitting in areas that are free from disturbances. In conclusion, wind resource assessment is essential for effective energy system planning. As clean energy initiatives expand, the evaluation of renewable energy potential has become increasingly important.
Keywords: Anemometer, wind, height, velocity, turbine and power