Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/50526
Title: Use of finite mixture distribution models in the analysis of wind energy in the Canarian Archipelago
Authors: Carta, José Antonio 
Ramírez, Penélope
Keywords: Speed Distributions
Parameters
Issue Date: 2007
Publisher: 0196-8904
Journal: Energy Conversion and Management 
Abstract: The statistical characteristics of hourly mean wind speed data recorded at 16 weather stations located in the Canarian Archipelago are analyzed in this paper. As a result of this analysis we see that the typical two parameter Weibull wind speed distribution (W-pdf) does not accurately represent all wind regimes observed in that region. However, a Singly Truncated from below Normal Weibull mixture distribution (TNW-pdf) and a two component mixture Weibull distribution (WW-pdf) developed here do provide very good fits for both unimodal and bimodal wind speed frequency distributions observed in that region and offer less relative errors in determining the annual mean wind power density. The parameters of the distributions are estimated using the least squares method, which is resolved in this paper using the Levenberg-Marquardt algorithm. The suitability of the distributions is judged from the probability plot correlation coefficient plot R-2, adjusted for degrees of freedom. Based on the results obtained, we conclude that the two mixture distributions proposed here provide very flexible models for wind speed studies and can be applied in a widespread manner to represent the wind regimes in the Canarian archipelago and in other regions with similar characteristics. The TNW-pdf takes into account the frequency of null winds, whereas the WW-pdf and W-pdf do not. It can, therefore, better represent wind regimes with high percentages of null wind speeds. However, calculation of the TNW-pdf is markedly slower. (c) 2006 Elsevier Ltd. All rights reserved.
URI: http://hdl.handle.net/10553/50526
ISSN: 0196-8904
DOI: 10.1016/j.enconman.2006.04.004
Source: Energy Conversion and Management[ISSN 0196-8904],v. 48, p. 281-291
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