Estimation of Small Onshore Wind Power Development for Poverty Reduction in Jubek State, South Sudan, Africa

Adam Juma Abdallah Gudo, Jinsong Deng, Marye Belete and Ghali Abdullahi Abubakar
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Adam Juma Abdallah Gudo: College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Jinsong Deng: College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Marye Belete: College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
Ghali Abdullahi Abubakar: College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China

Sustainability, 2020, vol. 12, issue 4, 1-22

Abstract: Energy security is one of the challenging issues hindering developmental progress in developing countries. Wind power as a renewable energy source can play a significant role in poverty reduction if adequate information is provided. In this study, multi-approach technics were applied for a better understanding of the wind energy potential in Jubek State, South Sudan. Geographic Information System (GIS), remote sensing, and mathematical equations were applied in identifying suitable locations, potential power per unit area, wind farm layout, design of appropriate turbine size, and utilization of wind energy in both agricultural and domestic sectors. Wind speed, land use land cover, and digital elevation maps of the study area were processed in ArcGIS, MATLAB (Weibull distribution), and Minitab software. The results show that 17,331.4 km 2 (94.64%) of the study area is appropriate for wind power generation, with wind density of about 3.65 W/m 2 and installation capacity about 19,757.79 MW, resulting in an annual energy production of about 7269.29 GWh. With the proposed wind turbine, one ton of various crops and animal products require 1–4 and 2–20 turbines, respectively. Therefore, the step-by-step procedures followed in this study will contribute to poverty reduction through improving agricultural productivity and food quality.

Keywords: Standalone Wind Turbine; ArcGIS; Weibull wind distribution; Agro-Processing Industries (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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