Wind energy is potentially attractive because of its low environmental impact and sustainability. This work investigated the wind power production potential in Eldoret, Kenya. Wind speed data over a five-year period (2004-2008) from Eldoret meteorological station are presented. Frequency distributions of wind speeds and wind power densities at three heights, seasonal variations of speed, and estimates of power likely to be produced by small turbines are included.To describe the probability distributions of wind speed, the Weibull distribution function was extensively used in wind resource assessment. It is an analytical function which is found to fit the wind speed curve very well. To assess the wind power potentials, the Weibull parameters were calculated in the analysis of wind speed data.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Wind energy is potentially attractive because of its low environmental impact and sustainability. This work investigated the wind power production potential in Eldoret, Kenya. Wind speed data over a five-year period (2004-2008) from Eldoret meteorological station are presented. Frequency distributions of wind speeds and wind power densities at three heights, seasonal variations of speed, and estimates of power likely to be produced by small turbines are included.To describe the probability distributions of wind speed, the Weibull distribution function was extensively used in wind resource assessment. It is an analytical function which is found to fit the wind speed curve very well. To assess the wind power potentials, the Weibull parameters were calculated in the analysis of wind speed data. 76 pp. Englisch. N° de réf. du vendeur 9783659452482
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Choge DismasDismas Kipchirchir Choge graduated with a masters degree in Physics (Renewable Energy) from Moi University in Kenya in 2012. He is currently pursuing PhD in the same University with research interests in the field of hydr. N° de réf. du vendeur 5157034
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Wind energy is potentially attractive because of its low environmental impact and sustainability. This work investigated the wind power production potential in Eldoret, Kenya. Wind speed data over a five-year period (2004-2008) from Eldoret meteorological station are presented. Frequency distributions of wind speeds and wind power densities at three heights, seasonal variations of speed, and estimates of power likely to be produced by small turbines are included.To describe the probability distributions of wind speed, the Weibull distribution function was extensively used in wind resource assessment. It is an analytical function which is found to fit the wind speed curve very well. To assess the wind power potentials, the Weibull parameters were calculated in the analysis of wind speed data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. N° de réf. du vendeur 9783659452482
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Wind energy is potentially attractive because of its low environmental impact and sustainability. This work investigated the wind power production potential in Eldoret, Kenya. Wind speed data over a five-year period (2004-2008) from Eldoret meteorological station are presented. Frequency distributions of wind speeds and wind power densities at three heights, seasonal variations of speed, and estimates of power likely to be produced by small turbines are included.To describe the probability distributions of wind speed, the Weibull distribution function was extensively used in wind resource assessment. It is an analytical function which is found to fit the wind speed curve very well. To assess the wind power potentials, the Weibull parameters were calculated in the analysis of wind speed data. N° de réf. du vendeur 9783659452482
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