Wind Speed Characteristics and Resource Assessment Using Weibull Parameters
نویسندگان
چکیده
منابع مشابه
Multivariate Weibull Distribution for Wind Speed and Wind Power Behavior Assessment
The goal of this paper is to show how to derive the multivariate Weibull probability density function from the multivariate Standard Normal one and to show its applications. Having Weibull distribution parameters and a correlation matrix as input data, the proposal is to obtain a precise multivariate Weibull distribution that can be applied in the analysis and simulation of wind speeds and wind...
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*Lawrence J. Hagen, USDA-ARS, Wind Erosion Research Unit, Throckmorton Hall 2004, Kansas State University, Manhattan, KS 66506. *Corresponding author: [email protected]. Contribution from USDA-ARS in cooperation with Kansas Agric. Exp. Sta., Contribution No. 99-389-A. ABSTRACT Assessment of wind erosion parameters applicable to the field scale using wind tunnels requires attention to both scal...
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Wind is the principal driver of the Wind Erosion Prediction System (WEPS), which is a process−based computer model for the simulation of wind−blown sediment loss from a field. WEPS generates wind using a stochastic wind generator. The objectives of this study were to improve the stochastic generation of wind speed and direction and to update the wind statistics used by the generator with statis...
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As is well known, estimating parameters of the tree-parameter weibull distribution is a complicated task and sometimes contentious area with several methods vying for recognition. Weibull distribution involves in reliability studies frequently and has many applications in engineering. However estimating the parameters of Weibull distribution is crucial in classical ways. This distribution has t...
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Wind is the principal driver of the Wind Erosion Prediction System (WEPS), which is a process−based computer model for the simulation of wind−blown sediment loss from a field. WEPS generates wind using a stochastic wind generator. The objectives of this study were to improve the stochastic generation of wind speed and direction and to update the wind statistics used by the generator with statis...
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ژورنال
عنوان ژورنال: International Journal of Green Energy
سال: 2012
ISSN: 1543-5075,1543-5083
DOI: 10.1080/15435075.2011.641700