Determination of Wind Energy Potential and Wind Speed Data in Bishkek, Kyrgyzstan

2008 ◽  
Vol 5 (3) ◽  
pp. 157-173 ◽  
Author(s):  
İnci Türk Toğrul ◽  
Meerim İmaş Kizi
2018 ◽  
Vol 51 ◽  
pp. 01001
Author(s):  
Khaled Al-Salem ◽  
Waleed Al-Nassar

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.


2018 ◽  
Vol 51 ◽  
pp. 01001
Author(s):  
Khaled Al-Salem ◽  
Waleed Al-Nassar

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.


2018 ◽  
Vol 121 ◽  
pp. 1-8 ◽  
Author(s):  
M.H. Soulouknga ◽  
S.Y. Doka ◽  
N.Revanna ◽  
N.Djongyang ◽  
T.C.Kofane

Author(s):  
Hachimenum Nyebuchi Amadi

Energy has since become the global index for assessment of standard of living for socio-economic and industrial development. Worldwide, energy demand is rising with increasing population. Conventional energy sources such as fossil fuels are unsustainable and environmentally-unfriendly. Alternative sources of energy such as the sun, the wind etc. that are sustainable and less harmful to the environment need be exploited to meet the ever rising demand for energy, to avoid energy deficit. This paper investigated the wind energy potential of three locations in south-south Nigeria. Wind speed data measured at 10-metres height over the period 2013-2017 obtained from the Nigerian Meteorological Agency (NiMet) for Yenagoa, Calabar and Port Harcourt were evaluated using the Weibull two-parameter probability distribution model to ascertain the wind energy potential of the respective locations. The study outcome shows that during the study period, the monthly mean wind speed varied between 1.2 m/s in November and 2.3 m/s in February for Yenagoa. The same varied between 2.2 m/s in July and 3.7 m/s in February for Calabar but ranged between 1.0 m/s in July to 1.6 m/s in February for Port Harcourt. The annual mean wind speeds for Yenagoa, Calabar and Port Harcourt were 1.74 m/s, 2.85 m/s and 1.38 m/s respectively. The annual mean power densities for Yenagoa, Calabar and Port Harcourt were found to be 4.64 W/m2, 7.06 W/m2 and 3.08 W/m2 respectively while the corresponding values of the annual mean energy densities were 3.24 KW/m2, 4.93 KW/m2 and 2.14 KW/m2 respectively. The study reveal that though wind energy in the study areas is sufficient only for standalone power generating systems, water pumping and applications requiring less power, higher value of wind energy is possible if wind speed data were collected at heights above the 10m implemented in the study.  


Sign in / Sign up

Export Citation Format

Share Document