Browsing by Author "Juma, Hamad"

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    Assessment of wind energy potential at selected locations in Zanzibar using two-parameter weibull distribution function
    (University of Dar es salaam, 2019) Juma, Hamad
    Linear regression was used to examine the relationship between the wind speed data collected by TMA and that of the Reanalysis I. the results of regression indicated that correlation between the in-situ wind speed data and reanalysis wind speed data from Pemba Airport (PA) and Zanzibar international airport (ZIA) metrological stations are weakly positive correlated with corresponding R of 0.434. The result of regression at ZIA provided confidence of determination of 0.186 with level of significance of p< 0.001 and the predictive model y = 3.007 + 0.520x. the result of regression at PA provided coefficient of determination of 0.080 with level of significance of p<0.001 and the predictive model y = 4.370 + 0.256x. Regression equations derived in PA and ZIA data were used to predict monthly mean wind speeds of Makunduchi and Micheweni, respectively. The results revealed that the highest wind speed at Makunduchi was 6.10m/s which was observed in June 1986 and the lowest wind speed was 3.77m/s that occurred in March, 2007. The overall monthly average value was found to be 4.88m/s. The highest wind speed at Micheweni was 6.04m/s observed in January, 1986 and the lowest wind speed was 4.85m/s and 5.54m/s which were observed in 1989, while lowest annual mean wind speeds were 4.83m/s and 5.37m/s and 5.37m/s which occurred in 2014 and 2007 respectively 13.86 and 5.23m/s. The average value of shape and scale parameters for Micheweni is respectively 26.75 and 5.56 m/s. The maximum wind power densities of Makunduchi and Micheweni at 10m AGL was 126.31 W/m2 and 136.47W/m2, while the minimum were 90.97 W/m2 and 109.22 W/m respectively. As for 80m AGL the maximum was 302.51 W/m and 326.84 W/m and the minimum was 217.87W/m2 and 261.58 W/m2, respectively. It was concluded that Michewenni is a more adequate site than Makunduchi because it has a higher wind power density