Wind energy potential assessment in Nifas Mewucha, Amhara Province, Ethiopia

2021 ◽  
pp. 0309524X2110007
Author(s):  
Sitotaw Eshete ◽  
Tadesse Abate
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Power Plants ◽  
Energy Potential ◽  
Wind Speed Data ◽  
Wind Power Plants ◽  
Power Enhancement ◽  
Wind Energy Potential ◽  
One Step ◽  
Selection Methodology

In recent years, Ethiopia has been developing different strategies to promote the installation of renewable energy plants. In this regard, evaluating territories to assess their potential and thus identify optimum sites for the installation of energy-generating facilities is a crucial task. This paper presents a comprehensive geographic information system (GIS)-based site-selection methodology for wind-power plants in the province of Amhara. High resolution wind speed data from Ethiopian National Metrology Agency (ENMA) and lower resolution daily wind speed data are combined and processed in order to obtain a fine wind speed distribution and thus wind energy production. This assessment is vital to elevate proper utilization of the energy sources into one step. According to the results we have obtained, in this paper, appreciated results are obtained to the power enhancement of the country.

scholarly journals GIS-Based Methodology for Evaluating the Wind-Energy Potential of Territories: A Case Study from Andalusia (Spain)

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2789 ◽  
Author(s):  
Pilar Díaz-Cuevas
Keyword(s):  
Wind Energy ◽  
Power Plants ◽  
A Priori ◽  
Energy Potential ◽  
Wind Power Plants ◽  
Wind Energy Potential ◽  
Selection Methodology ◽  
Energy Plants ◽  
Wind Resources

In recent years, Spain, in an effort to meet European Union (E.U.) targets, has been developing different strategies to promote the installation of renewable energy plants. In this regard, evaluating territories to assess their potential and thus identify optimum sites for the installation of energy-generating facilities is a crucial task. This paper presents a comprehensive geographic information system (GIS)-based site-selection methodology for wind-power plants in the province of Córdoba, which has hitherto been regarded as unsuitable for this sort of facility owing to the lack of wind resources. Three scenarios have been set out, each of which presents a different set of restrictions. Scenario 2 applies the most stringent restrictions in the specialized literature, and finds no suitable areas for the installation of wind-energy plants. However, Scenario 1, which applies the least stringent restrictions, and Scenario 3, which applies the same restrictions currently in force for other wind turbines already in operation in Andalusia, have led to the identification of several areas that could a priori be considered suitable and now need more detailed analysis. The results illustrate the convenience of undertaking multiscenario analyses.

scholarly journals Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed data

2018 ◽  
Vol 51 ◽  
pp. 01001
Author(s):  
Khaled Al-Salem ◽  
Waleed Al-Nassar
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Lower Layer ◽  
Probability Distributions ◽  
Clean Energy ◽  
Energy Potential ◽  
Wind Speed Data ◽  
The North ◽  
Energy Conversion Systems ◽  
Wind Energy Potential

Kuwait possesses a potential of renewable energy, such as solar and wind energy. Wind energy is an alternative clean energy source compared to fossil fuel, which pollute the lower layer of the atmosphere. In this study, statistical methods are used to analyze the wind speed data at Mubarak port (at Bubiyan Island), Failaka Island and Um-AlMaradim Island; which are located respectively in the north, mid and south of Kuwait territorial waters. Wind speed is the most important parameter in the design and study of wind energy conversion systems. The wind speed data were obtained from the Costal Information System Database (CIS) at Kuwait Institute for Scientific Research [1, 2 and 3]over a thirty seven years period, 1979 to 2015. In the present study, the wind energy potential of the locations was statistically analyzed based on wind speed data, over a period of thirty seven years. The probability distributions are derived from the wind data and their distributional parameters are identified. Two probability density functions are fitted to the probability distributions on a yearly basis. The wind energy potential of the locations was studied based on the Weibull and the Rayleigh models.

scholarly journals Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed data

2018 ◽  
Vol 51 ◽  
pp. 01001
Author(s):  
Khaled Al-Salem ◽  
Waleed Al-Nassar
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Lower Layer ◽  
Probability Distributions ◽  
Clean Energy ◽  
Energy Potential ◽  
Wind Speed Data ◽  
The North ◽  
Energy Conversion Systems ◽  
Wind Energy Potential

Kuwait possesses a potential of renewable energy, such as solar and wind energy. Wind energy is an alternative clean energy source compared to fossil fuel, which pollute the lower layer of the atmosphere. In this study, statistical methods are used to analyze the wind speed data at Mubarak port (at Bubiyan Island), Failaka Island and Um-AlMaradim Island; which are located respectively in the north, mid and south of Kuwait territorial waters. Wind speed is the most important parameter in the design and study of wind energy conversion systems. The wind speed data were obtained from the Costal Information System Database (CIS) at Kuwait Institute for Scientific Research [1, 2 and 3]over a thirty seven years period, 1979 to 2015. In the present study, the wind energy potential of the locations was statistically analyzed based on wind speed data, over a period of thirty seven years. The probability distributions are derived from the wind data and their distributional parameters are identified. Two probability density functions are fitted to the probability distributions on a yearly basis. The wind energy potential of the locations was studied based on the Weibull and the Rayleigh models.

Analysis of wind speed data and wind energy potential in Faya-Largeau, Chad, using Weibull distribution

2018 ◽  
Vol 121 ◽  
pp. 1-8 ◽  
Author(s):  
M.H. Soulouknga ◽  
S.Y. Doka ◽  
N.Revanna ◽  
N.Djongyang ◽  
T.C.Kofane
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Weibull Distribution ◽  
Energy Potential ◽  
Wind Speed Data ◽  
Wind Energy Potential
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