Track: Energy

Abstract

Energy is a crucial component of every nation’s economic and social growth. Mitigation of global energy demands and climate change are essential factors for renewable energy supplies in recent times. This paper presents the Performance Evaluation of some selected Mediums Wind Energy Conversion System for Wind Power Generation at Anyigba, Nigeria. Wind speed data for this work was collected at 4m height from the Campbell Scientific Automated Weather Station under the Tropospheric Data Acquisition Network (TRODAN). The data is at an interval of five (5) minutes update cycle for a period of sixty months. The wind speed data height was then interpolated to 20m using a power-law relationship. Three selected Wind Energy Conversation System (WECS), were used for the wind power evaluation. The result indicated the Wind Energy Conversion System-30 (WES-30) as suitable for Anyigba. 4.961m/s was the highest wind speed obtained in February 2016 while 1.135m/s was the lowest wind speed in November 2015. This might be linked to the dry season and the rainy season for the high and low wind speeds. Using the Weibull model, the average scale parameter and shape parameter value are 0.88 in November and 6.31 m/s in January of the entire months