Multiple criteria application in determining wind power potential: A case study of Adama Zuria woreda, Ethiopia

The total predicted wind energy in Ethiopia is around 10 GW. However, location specific assessment is required to utilize the resource. In this work, a ten-year wind data (2008–2017) at 10 m was analyzed. The objectives of the study were to characterize the wind power potential via the wind rose rep...

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Autores principales:	Cherinet Seboka Ambaye, Kassahun Ture Beketie, Desalegn Yayeh Ayal, Zerihun Teklemariam Dame
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Capacity factor Present value cost Probability density function (pdf) Scale and shape factor Wind rose Wind turbine Science Q
Acceso en línea:	https://doaj.org/article/3e3574eb1daa46c4966bc886198bf948
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spelling	oai:doaj.org-article:3e3574eb1daa46c4966bc886198bf9482021-11-28T04:35:50ZMultiple criteria application in determining wind power potential: A case study of Adama Zuria woreda, Ethiopia2468-227610.1016/j.sciaf.2021.e01045https://doaj.org/article/3e3574eb1daa46c4966bc886198bf9482021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S246822762100346Xhttps://doaj.org/toc/2468-2276The total predicted wind energy in Ethiopia is around 10 GW. However, location specific assessment is required to utilize the resource. In this work, a ten-year wind data (2008–2017) at 10 m was analyzed. The objectives of the study were to characterize the wind power potential via the wind rose representation, Weibull distribution functions and geospatial analysis at various elevations (10, 50 and 100 m). The performance assessment was also judged based on the degree of the fitness by evaluating shape factor (k) and scale factor (c) from an empirical, graphical and moment methods. The three wind parameters such as wind speeds, power densities and capacity factors were geospatially determined by GIS modeling. Annual electricity output and turbine's capacity factors for various models were also discussed. The results show Weibull way proved that 4 m/s and 6 m/s are the frequent wind speeds in the distribution. In the assessment, the k's and c's in winter and summer were more likely closer to 3 and 6 m/s proving regular-steady flows and a high class of wind energy in the site. For the remaining season, the k's and c's were found to be very close to 2 and 4 m/s indicating moderate flow and medium energy class in the area. On the other hand, the degree of the fitness using Root Mean Square (RMSE) lied between 0.025 and 0.176 proving lower errors in statistical modeling whereas the R2 was ranged between 0.740 and 1 indicating stronger explanatory powers. The study highlights the importance of multiple tool assessment to determine the proper location of windy sites for wind energy development. The capacity factor (CF) and present value cost (PVC) analysis are also essential tools for installing proper turbine model at the site suitable for energy developers.Cherinet Seboka AmbayeKassahun Ture BeketieDesalegn Yayeh AyalZerihun Teklemariam DameElsevierarticleCapacity factorPresent value costProbability density function (pdf)Scale and shape factorWind roseWind turbineScienceQENScientific African, Vol 14, Iss , Pp e01045- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Capacity factor Present value cost Probability density function (pdf) Scale and shape factor Wind rose Wind turbine Science Q
spellingShingle	Capacity factor Present value cost Probability density function (pdf) Scale and shape factor Wind rose Wind turbine Science Q Cherinet Seboka Ambaye Kassahun Ture Beketie Desalegn Yayeh Ayal Zerihun Teklemariam Dame Multiple criteria application in determining wind power potential: A case study of Adama Zuria woreda, Ethiopia
description	The total predicted wind energy in Ethiopia is around 10 GW. However, location specific assessment is required to utilize the resource. In this work, a ten-year wind data (2008–2017) at 10 m was analyzed. The objectives of the study were to characterize the wind power potential via the wind rose representation, Weibull distribution functions and geospatial analysis at various elevations (10, 50 and 100 m). The performance assessment was also judged based on the degree of the fitness by evaluating shape factor (k) and scale factor (c) from an empirical, graphical and moment methods. The three wind parameters such as wind speeds, power densities and capacity factors were geospatially determined by GIS modeling. Annual electricity output and turbine's capacity factors for various models were also discussed. The results show Weibull way proved that 4 m/s and 6 m/s are the frequent wind speeds in the distribution. In the assessment, the k's and c's in winter and summer were more likely closer to 3 and 6 m/s proving regular-steady flows and a high class of wind energy in the site. For the remaining season, the k's and c's were found to be very close to 2 and 4 m/s indicating moderate flow and medium energy class in the area. On the other hand, the degree of the fitness using Root Mean Square (RMSE) lied between 0.025 and 0.176 proving lower errors in statistical modeling whereas the R2 was ranged between 0.740 and 1 indicating stronger explanatory powers. The study highlights the importance of multiple tool assessment to determine the proper location of windy sites for wind energy development. The capacity factor (CF) and present value cost (PVC) analysis are also essential tools for installing proper turbine model at the site suitable for energy developers.
format	article
author	Cherinet Seboka Ambaye Kassahun Ture Beketie Desalegn Yayeh Ayal Zerihun Teklemariam Dame
author_facet	Cherinet Seboka Ambaye Kassahun Ture Beketie Desalegn Yayeh Ayal Zerihun Teklemariam Dame
author_sort	Cherinet Seboka Ambaye
title	Multiple criteria application in determining wind power potential: A case study of Adama Zuria woreda, Ethiopia
title_short	Multiple criteria application in determining wind power potential: A case study of Adama Zuria woreda, Ethiopia
title_full	Multiple criteria application in determining wind power potential: A case study of Adama Zuria woreda, Ethiopia
title_fullStr	Multiple criteria application in determining wind power potential: A case study of Adama Zuria woreda, Ethiopia
title_full_unstemmed	Multiple criteria application in determining wind power potential: A case study of Adama Zuria woreda, Ethiopia
title_sort	multiple criteria application in determining wind power potential: a case study of adama zuria woreda, ethiopia
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/3e3574eb1daa46c4966bc886198bf948
work_keys_str_mv	AT cherinetsebokaambaye multiplecriteriaapplicationindeterminingwindpowerpotentialacasestudyofadamazuriaworedaethiopia AT kassahunturebeketie multiplecriteriaapplicationindeterminingwindpowerpotentialacasestudyofadamazuriaworedaethiopia AT desalegnyayehayal multiplecriteriaapplicationindeterminingwindpowerpotentialacasestudyofadamazuriaworedaethiopia AT zerihunteklemariamdame multiplecriteriaapplicationindeterminingwindpowerpotentialacasestudyofadamazuriaworedaethiopia
_version_	1718408310592372736

Multiple criteria application in determining wind power potential: A case study of Adama Zuria woreda, Ethiopia

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