Assessment of the Wind Energy Potential of Two Burundian Sites

1-year hourly wind speed data from two Burundian stations, namely Bujumbura and Muyinga, have been processed in this work to bring an efficient help for the planning installation of energy conversion systems (WECS) at those localities. Mean seasonal diurnal variations direction shear exponent derived. Two-parameter Weibull probability density functions (PDFs) fitting observed monthly annual relative frequency distributions implemented. As shown through three complementary statistical tests, technique was very satisfactory. A resource analysis 10 m above ground level (AGL) has led a mean power which is almost thirteen fold higher than Muyinga. The use empirical law extrapolate characteristics heights 150 350 AGL that potential hilltops around Muyinga only suitable small, individual scale applications. At opposite, ridge-tops found medium large electricity production. For locality heights, outputs capacity factors (CF or Cf) computed ten selected turbines (WTs), together with costs (COE) using present value cost (PVC) method. Amongst WTs, YDF-1500-87 S95-2.1 MW emerged as best options owing their highest CF lowest COE. Moreover, quantities basis WT its performance dry season. Compared average COE household hydroelectricity consumption, results study evidenced economical feasibility benefit WECS setting sites order supplement traditional sources.