Use of two-component Weibull mixtures in the analysis of wind speed in the Eastern Mediterranean

被引:158
作者
Akdag, S. A. [2 ]
Bagiorgas, H. S. [1 ]
Mihalakakou, G. [1 ]
机构
[1] Univ Ioannina, Dept Environm & Nat Resources Management, Agrinion 30100, Greece
[2] Istanbul Tech Univ, Energy Inst, TR-80626 Istanbul, Turkey
关键词
Mixture distributions; Simple-Weibull distribution; Mixed-Weibull distribution; Probability density distribution; Maximum likelihood method; Coefficient of determination; ENERGY; DISTRIBUTIONS; PARAMETERS; MODELS;
D O I
10.1016/j.apenergy.2010.02.033
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The statistical characteristics of wind speed data recorded at nine buoys, located in Ionian and Aegean Sea (Eastern Mediterranean) are analyzed in this paper, in order to present a more accurate method for estimation of wind speed characteristics, according to the suitability of the probability distribution functions (pdf). This article has focussed on wind regimes that present nearly zero percentages of null wind speeds The selected distributions for examination are the typical two-parameter Weibull wind speed distribution (W-pdf) and the two-component mixture Weibull distribution (WW-pdf), involving five parameters (two shape parameters, two scale parameters, and one proportionality parameter). Suitable software, based on the maximum likelihood method, is used in order to estimate the aforementioned two-parameters of the typical W-pdf and the five parameters of the mixed WW-pdf. The suitability of the aforementioned distributions is judged from the coefficient of determination (R-2) and the fit standard error (RMSE) tests, which had been carried out between each one of the theoretical distributions and the corresponding experimental cumulative frequencies of the nine selected sites From these tests it is clear that, in most cases (six experimental stations - having either unimodal or bimodal frequency distributions), mixed-Weibull distribution provides the highest degree of fit. In the other three cases, the mixing weight p of the two-component mixed Weibull density function equals to zero (p = 0), so the mixed-Weibull distribution is been transformed to the typical Simple-Weibull distribution. Hence, the general conclusion is that the aforementioned mixture of two Weibull distributions is more suitable for the description of such wind conditions and could offer less relative errors in determining the annual mean wind power density. (C) 2010 Elsevier Ltd All rights reserved.
引用
收藏
页码:2566 / 2573
页数:8
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