A wind energy analysis of Grenada: an estimation using the 'Weibull' density function

被引:178
作者
Weisser, D [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Environm Sci & Technol, Environm Policy & Managment Grp, London, England
关键词
weibull distribution; wind energy; probabilistic assessment; Grenada;
D O I
10.1016/S0960-1481(03)00016-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Weibull density function has been used to estimate the wind energy potential in Grenada, West Indies. Based on historic recordings of mean hourly wind velocity this analysis shows the importance to incorporate the variation in wind energy potential during diurnal cycles. Wind energy assessments that are based on Weibull distribution using average daily/seasonal wind speeds fail to acknowledge that wind speed probabilities can vary significantly during day and night. In particular where wind energy estimation is linked to electricity loads neglecting diurnal wind patterns can result in significant under/overestimation of wind power potential. (C) 2003 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:1803 / 1812
页数:10
相关论文
共 25 条
[1]  
[Anonymous], EXPERIENCE CURVES EN
[2]   Time-series models for reliability evaluation of power systems including wind energy [J].
Billinton, R ;
Chen, H ;
Ghajar, R .
MICROELECTRONICS AND RELIABILITY, 1996, 36 (09) :1253-1261
[3]   A sequential simulation technique for adequacy evaluation of generating systems including wind energy [J].
Billinton, R ;
Chen, H ;
Ghajar, R .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 1996, 11 (04) :728-734
[4]  
*COMM SUST DEV, 1996, PROGR IMPL PROGR ACT
[5]   Estimating wind speed distribution [J].
Dorvlo, ASS .
ENERGY CONVERSION AND MANAGEMENT, 2002, 43 (17) :2311-2318
[6]  
*ENERCON, 2002, WIND EN PROD
[7]  
Gray C. R., 1993, CLIMATIC CHANGE INTR, P87
[8]  
Hoyle B. S., 1999, INSULARITY DEV INT P, P137
[9]   Wind speed pattern and the available wind power at Basotu, Tanzania [J].
Kainkwa, RMR .
RENEWABLE ENERGY, 2000, 21 (02) :289-295
[10]  
Kakazu H, 1994, SUSTAINABLE DEV SMAL