Assessment of wind energy resource in the western region of Somaliland
| dc.contributor.author | Batran, Shaima | |
| dc.contributor.author | Jama, Mohamed | |
| dc.contributor.author | Yousaf, Jawad | |
| dc.contributor.author | Hassan, Taimur | |
| dc.contributor.author | Ghazal, Mohammed | |
| dc.contributor.author | Bin Mokhlis, Hazlie | |
| dc.date.accessioned | 2024-08-26T09:15:43Z | |
| dc.date.available | 2024-08-26T09:15:43Z | |
| dc.date.issued | 2024-06-30 | |
| dc.description | Over the past 10 years, the installed worldwide capacity of wind energy has increased threefold. In 2022, the world's total installed wind energy capacity has reached to approximately 900 GW, accounting for nearly 27% of the total installed renewable energy capacity in the world [1]. Benefiting from the significant improvements in wind turbine technologies, wind farm scale efficiency, construction and procurement costs [2]. | |
| dc.description.abstract | As the population of Somaliland continues to grow rapidly, the demand for electricity is anticipated to rise exponentially over the next few decades. The provision of reliable and cost-effective electricity service is at the core of the economic and social development of Somaliland. Wind energy might offer a sustainable solution to the exceptionally high electricity prices. In this study, a techno-economic assessment of the wind energy potential in some parts of the western region of Somaliland is performed. Measured data of wind speed and wind direction for three sites around the capital city of Hargeisa are utilized to characterize the resource using Weibull distribution functions. Technical and economic performances of several commercial wind turbines are examined. Out of the three sites, Xumba Weyne stands out as the most favorable site for wind energy harnessing with average annual power and energy densities at 80 m hub height of 317 kW/m2 and 2782 kWh/m2, respectively. Wind turbines installed in Xumba Weyne yielded the lowest levelized cost of electricity (LCOE) of not more than 0.07 $/kWh, shortest payback times (i.e., less than 7.2 years) with minimum return on investment (ROI) of approximately 150%. Keywords Levelized cost of electricity, Maximum likelihood estimation, Renewable energy, Resource, Techno-economic assessment, Weibull distribution function, Wind energy, Wind turbine | |
| dc.identifier.citation | Batran, S., Jama, M., Yousaf, J., Hassan, T., Ghazal, M., & Mokhlis, H. B. (2024). Assessment of Wind Energy Resource in the Western Region of Somaliland. Heliyon. | |
| dc.identifier.doi | https://doi.org/10.1016/j.heliyon.2024.e32500 | |
| dc.identifier.uri | https://repository.adu.ac.ae/handle/1/6310 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.title | Assessment of wind energy resource in the western region of Somaliland | |
| dc.type | Article |
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