Short-term wind variability analysis of Afe Babalola University

Abstract

The increasing damaging effect of fossil fueled generators has necessitated the need for diversification into renewable energy sources. However, these abundant renewable sources are limited by their variability at various seasons which often results in stochastic output power. In this paper, short term variability analysis of wind resource in Afe Babalola University is presented from January 2018 to December 2018. Wind speed data were collected using the anemometer at various times and sites within this period and used to estimate the potential of wind resource in ABUAD. The results showed that the wind energy resource is higher between the months of April to September, but insufficient to meet the energy need of ABUAD, hence necessitating the need of a hybrid generating system. An optimized hybrid system comprising of one, 1650kW wind turbine, 2000kW PV panels, 1900kW Diesel generator, 2000kW Converter, and one Trojan T-105 battery was obtained from HOMER software, with levelized cost of energy (COE) of 0.414$/yr and Net Present Cost(NPC) of $41,353,948.