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All Journal Interdisciplinary Social Studies Multidiciplinary Output Research for Actual and International Issue (Morfai Journal)
Hamza Khamis Kombo
Universitas Indonesia
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Evaluation of Wind Energy Potential for Electricity Generation in Three Locations of Zanzibar, Tanzania Hamza Khamis Kombo; Ridho Irwansyah; Nasruddin Nasruddin
Interdisciplinary Social Studies Vol. 5 No. 1 (2025): Regular Issue: October-December 2025
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/iss.v5i1.955

Abstract

This study evaluates the wind energy potential for electricity generation in the North, South, and West regions of Zanzibar using wind speed data from NASA POWER (2014–2023). The Weibull statistical distribution indicated annual average wind speeds of 5.43 to 5.81 m/s. The South Region experienced the highest wind stability (k=7.97 in 2015), while the North had the greatest energy-carrying wind speed (6.80 m/s in 2020). Wind power density ranged from 107.87 to 132.98 W/m², and energy density varied from 944.91 to 1164.94 kWh/m²/year, confirming that all sites fall into Class 2 (Marginal) of the Pacific Northwest Laboratory standard—implying weak feasibility for large wind farms but suitability for small- to medium-scale or hybrid schemes. A technical-economic analysis of four turbines identified the De Wind D7 (1500 kW, 70 m hub height) as the most suitable, with the highest annual energy production (>1300 MWh/year) and capacity factor (>10%). The study provides crucial data to inform investments and policies for diversifying Zanzibar's energy mix and fostering sustainable development.
STATISTICAL ANALYSIS AND ANN-BASED PREDICTION OF WIND POWER GENERATION: A CASE STUDY OF PEMBA ISLAND, ZANZIBAR, TANZANIA. Hamza Khamis Kombo; Ridho Irwansyah
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 2 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19362442

Abstract

This research work proposes the integrated statistical and ANN approach for the evaluation and prediction of the wind power potential of Pemba Island, Zanzibar, Tanzania. Monthly wind speeds and meteorological data from NASA POWER were used to assess the wind power potential of the region using ten consecutive years of data (2014-2023). From the results, it was evident that the region has marginal to moderate wind power potential since the wind speed averages 6m/s. Wind speed in the region is high between May and August. Wind power density in the region was between 130.46 and 170.43 W/m2. This information proved that the region has the ability to implement small to medium-scale and hybrid wind power systems. An artificial neural network was also developed to predict the wind power density using various parameters such as wind speed, temperature, relative humidity, wind direction, and precipitation. From the results, the ANN has excellent predictive ability since the value of R2 was approximately 0.9998, and very low levels of error for the prediction of the wind energy potential of the islanded grid.
Co-Authors Nasruddin Nasruddin Ridho Irwansyah