This paper analyses wind speed characteristics and wind power potential of Port Elizabeth using statistical Weibull parameters. A measured 5–minute time series average wind speed over a period of 5 years (2005 - 2009) was obtained from the South African Weather Service (SAWS). The results show that the shape parameter (k) ranges from 1.319 in April 2006 to 2.107 in November 2009, while the scale parameter (c) varies from 3.983m/s in May 2008 to 7.390 in November 2009.The average wind power density is highest during Spring (September–October), 256.505W/m2 and lowest during Autumn (April-May), 152.381W/m2. This paper is relevant to a decision-making process on significant investment in a wind power project
International audienceWind energy assessment plays a critical role in the exploitation of wind turbi...
WOS: 000378962400005Weibull Statistical Distribution is a common method for analyzing wind speed mea...
The modeling of the wind speed distribution is of great importance for the assessment of wind energy...
This paper analyses wind speed characteristics and wind power potential of Port Elizabeth using stat...
Abstract The increased integration of wind power into electric power systems presents new challenges...
The worldwide utilisation of renewable energy in electric power systems is growing rapidly due to co...
The two-parameter Weibull probability distribution function is versatile for modelling wind speed fr...
Both the planning and operating of a wind farm demand an appropriate wind speed model of its locatio...
Both the planning and operating of a wind farm demand an appropriate wind speed model of its locatio...
In this study, statistical analysis method has been used to assess the wind energy potential in Bahi...
Modeling of wind speed variation is an essential requirement in the estimation of the wind energy po...
The two-parameter Weibull probability distribution function is versatile for modelling wind speed fr...
<p>The modeling of the wind speed distribution is of great importance for the assessment of wind ene...
Analysis wind data characteristics and accurate wind power potential assessment at a specified locat...
This paper explores wind speed distribution using Weibull probability distribution and Rayleigh dist...
International audienceWind energy assessment plays a critical role in the exploitation of wind turbi...
WOS: 000378962400005Weibull Statistical Distribution is a common method for analyzing wind speed mea...
The modeling of the wind speed distribution is of great importance for the assessment of wind energy...
This paper analyses wind speed characteristics and wind power potential of Port Elizabeth using stat...
Abstract The increased integration of wind power into electric power systems presents new challenges...
The worldwide utilisation of renewable energy in electric power systems is growing rapidly due to co...
The two-parameter Weibull probability distribution function is versatile for modelling wind speed fr...
Both the planning and operating of a wind farm demand an appropriate wind speed model of its locatio...
Both the planning and operating of a wind farm demand an appropriate wind speed model of its locatio...
In this study, statistical analysis method has been used to assess the wind energy potential in Bahi...
Modeling of wind speed variation is an essential requirement in the estimation of the wind energy po...
The two-parameter Weibull probability distribution function is versatile for modelling wind speed fr...
<p>The modeling of the wind speed distribution is of great importance for the assessment of wind ene...
Analysis wind data characteristics and accurate wind power potential assessment at a specified locat...
This paper explores wind speed distribution using Weibull probability distribution and Rayleigh dist...
International audienceWind energy assessment plays a critical role in the exploitation of wind turbi...
WOS: 000378962400005Weibull Statistical Distribution is a common method for analyzing wind speed mea...
The modeling of the wind speed distribution is of great importance for the assessment of wind energy...