IOSR Journal of Applied Physics (IOSR-JAP) e-ISSN: 2278-4861.Volume 8, Issue 6 Ver. IV (Nov. - Dec. 2016), PP 28-34 www.iosrjournals.org DOI: 10.9790/4861-0806042834 www.iosrjournals.org 28 | Page Performance Evaluation and Cost of Energy from 2.0 kW (Guangmang) Wind Turbine at Danjawa Renewable Energy Model Village, Sokoto, Nigeria G.M. Argungu 1 , A. U. Moreh 1 , S. Abdullahi 1 , B. Hamza 1 , S. Aliyu 1 , K. A. Dabai 1 , and B. A. Maiyama 2 Department of Physics, Usmanu Danfodiyo University, Sokoto 1 Waziri Umar Federal Polytechnic Birnin Kebbi 2 Abstract: Power output from a wind-powered turbine generator was estimated using the method that combined the wind generator characteristic and the characteristic of wind at the selected location of operation. Danjawa village is a small community village within Usmanu Danfodiyo University, Sokoto, which is bounded by latitude of 13 o .1 N and longitude 4 o .13 E, with elevation of 351m. The shape and scale parameters for the location were evaluated from the twenty years (1991-2010) daily average wind speed data obtained from NIMET. The 2.0 kW (Guangmang) wind-powered generator is characterized by its cut-in wind speed, rated wind speed and furling wind speed as provided by the manufacturers. The generator power output is assumed to vary according to a third-degree polynomial with wind speed between cut-in and rated wind speeds and to be constant between rated and furling wind speeds. Similarly, the economic performance was conducted via the levelised cost of energy (LCOE) which was carried out based on the total energy output from the wind turbine and total investment on the machine. The results of the analysis indicated that the 2.0 kW (Guangmang) wind turbine generators generate 1,520.38 kWh per annum at the cost of N 326 / kWh. Keywords: Evaluation, Guangmang, Levelised, Polynomial and Wind speed I. Introduction Energy is one of the fundamental device for economic development and a driving force for industrialization of any society [14:14]. Nigeria is endowed with both fossil fuels; nuclear and renewable sources of energy, which when effectively harnessed can be utilized for economic transformation of the country [16]. Increasing global energy demand and the adverse effects of non-renewable fossil fuels on environment had motivated considerable research attention in wide range of engineering application of renewable sources such as solar, geothermal, and wind [1]. Wind energy is one of the fastest growing renewable sources of energy in both developed and developing countries with total available wind power surrounding the earth being in the order of 10 11 GW, which is several times more than the current global energy consumption. The wind energy market [1] is growing in hasty ascending manner worldwide with an installed capacity of 17.4GW in 2000 reaching up to 236GW by end of 2011 with annual average growth of 1.2% [17]. Renewable energy is the type that is derived from the sources that can be regenerated naturally within a relatively short time frame. For example, solar radiation, wind, hydropower, biomass, geothermal, sea wave and tide [3], yet Nigerian energy industry is probably one of the most inefficient in meeting the needs of its customers globally. This is most evident in the persistent disequilibrium in the markets for electricity and petroleum products, especially kerosene and diesel [2]. Although estimating the power output from a wind-powered turbine at a particular location is complex due to the variability of the wind speed with time and the dependence of the output power from the wind-powered turbine on the wind speed. This paper applies a method for computing expected output power from a wind-powered generator, given the observed wind speed distribution at a location and the power output characteristics of the wind-powered turbine. The output power is evaluated for the 2.0 kW Guangmang wind turbine generator installed at 18 m hub height in Danjawa renewable energy rural model village, by the Sokoto Energy Research Centre, Usmanu Danfodiyo University, Sokoto. The wind speed data used for this analysis is the 20 years daily average wind speed data for Sokoto obtained from Nigerian meteorological Agency (NIMET) due to lack of site specific wind speed data for Danjawa village. The paper also estimates the economic performance via the levelised cost of energy (LCOE) method for the 2.0 kW Guangmang wind turbine generator. The results indicated that the annual kWhs from the machine can be up to 1,520.38kWh at the cost of N 326/kWh.