Application of Wind Resource Assessment (WEA) Tool: A case study in Kuakata, Bangladesh

Abstract

Wind data at Kuakata, Bangladesh has been analysed using a web tool named Wind Energy Assessment (WEA) software developed at IUT. The software is available at http://iutoic-dhaka.edu/wea. From March to September the mean wind speed varies between 3 to 5 m/s and the shape factor, k and scale factor, c varies from 1.7 to 2.3 and 4.1 to 5.0 m/s respectively. An assessment has been made of the energy generation by a typical wind turbine of rated capacity of 1 kW. This turbine has been found to produce an energy output per year of 2243 kWh, and the production costs has been found 12.3 ($ 0.175)Taka/kWh. The environment benefits comparing with coal based power plant shows a greater advantage. The amount of harmful emissions saved per year are CO2=1862 Kg, NO2=0.13 Kg, SO2=1.35 Kg, NOx=4.71 Kg.

Keywords

• Wind energy, Shape and scale factor, rated power, Weibull and Rayleigh distribution.

Kaynakça

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