Wind speed analysis in La Ventosa, Mexico: a bimodal probability distribution case

被引:233
作者
Jaramillo, OA [1 ]
Borja, MA [1 ]
机构
[1] Inst Invest Elect Energias No Convencionales, Cuernavaca 62490, Morelos, Mexico
关键词
wind energy; wind characteristics; bimodal wind speed distribution; La Ventosa; Mexico;
D O I
10.1016/j.renene.2004.02.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The statistical characteristics of the wind speed in La Ventosa, Oaxaca, Mexico, have been analyzed by using wind speed data recorded by Instituto de Investigaciones Electricas (11E). By grouping the observations by annual, seasonal and wind direction, we show that the wind speed distribution, with calms included, is not represented by the typical two-parameter Weibull function. A mathematical formulation by using a bimodal Weibull&Weibull probability distribution function (PDF) has been developed to analyze the wind speed frequency distribution in that region. The model developed here can be applied for similar regions where the wind speed distribution presents a bimodal PDF. The two-parameter Weibull wind speed distribution must not be generalised, since it is not accurate to represent some wind regimes as the case of La Ventosa, Mexico. The analysis of wind data shows that computing the capacity factor for wind power plants to be installed in La Ventosa must be carried out by means of a bimodal PDF instead of the typical Weibull PDF. Otherwise, the capacity factor will be underestimated. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1613 / 1630
页数:18
相关论文
共 20 条
[1]   Assessment of wind characteristics and wind turbine characteristics in Taiwan [J].
Chang, TJ ;
Wu, YT ;
Hsu, HY ;
Chu, CR ;
Liao, CM .
RENEWABLE ENERGY, 2003, 28 (06) :851-871
[2]  
COROTIS RB, 1978, SOL ENERGY, V20, P481
[3]  
*DOE US, 1981, HOM WIND POW
[4]   Fitting wind speed distributions: A case study [J].
Garcia, A ;
Torres, JL ;
Prieto, E ;
De Francisco, A .
SOLAR ENERGY, 1998, 62 (02) :139-144
[5]  
HENNESSEY JP, 1977, J APPL METEOROL, V16, P119, DOI 10.1175/1520-0450(1977)016<0119:SAOWPS>2.0.CO
[6]  
2
[7]  
*INT EN AG, 1994, UNPUB EST COST EN WI
[8]   WIND POWER STATISTICS AND AN EVALUATION OF WIND ENERGY DENSITY [J].
JAMIL, M ;
PARSA, S ;
MAJIDI, M .
RENEWABLE ENERGY, 1995, 6 (5-6) :623-628
[9]  
JARAMILLO OA, 2003, P EUR WIND EN C EXH
[10]  
JUSTUS CG, 1976, J APPL METEOROL, V15, P673, DOI 10.1175/1520-0450(1976)015<0673:NAOPOF>2.0.CO