Weibull representative compressed wind speed data for energy and performance calculations of wind energy systems

被引:65
作者
Celik, AN [1 ]
机构
[1] Mustafa Kemal Univ, Sch Engn & Architecture, Dept Mech Engn, TR-31024 Antakya, Hatay, Turkey
关键词
wind energy; Weibull probability density distribution function; compressed wind speed data;
D O I
10.1016/S0196-8904(03)00075-X
中图分类号
O414.1 [热力学];
学科分类号
摘要
The present article presents the development of compressed wind speed data to be used in wind energy and performance calculations of stand alone or hybrid wind energy systems. Compressed data attempts to represent the important statistics of an entire month of days with d selected days, where d is less than the actual number of days in the month. In the present article, compressed wind speed data are generated based on the Weibull wind speed distribution model. Two different sets of wind speed data are generated, three- and four-day month, each month being represented by 72 and 96 h of wind speed, respectively. The three- and four-day month wind speed data are then used to calculate the monthly energy yields, which, in turn, are compared to those calculated from the measured hourly time series data. A total of eight years long of measured hourly time series data from five different locations throughout the world are used to validate the method presented. The overall errors in estimation of the wind energy yield using the Weibull representative compressed wind speed data are 3.67% and 3.21% for the three- and four-day months, respectively. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3057 / 3072
页数:16
相关论文
共 24 条
  • [1] Short-term forecasting of wind speed and related electrical power
    Alexiadis, MC
    Dikopoulos, PS
    Sahsamanoglou, HS
    Manousaridis, IM
    [J]. SOLAR ENERGY, 1998, 63 (01) : 61 - 68
  • [2] Estimation of the energy output of a photovoltaic power plant in the Austrian Alps
    Bergauer-Culver, B
    Jager, C
    [J]. SOLAR ENERGY, 1998, 62 (05) : 319 - 324
  • [3] BOURGES B, 1996, P EUR 96 FREIB
  • [4] The system performance of autonomous photovoltaic-wind hybrid energy systems using synthetically generated weather data
    Celik, AN
    [J]. RENEWABLE ENERGY, 2002, 27 (01) : 107 - 121
  • [5] CELIK AN, 1998, THESIS U WALES CARDI, P19
  • [6] Assessment of wind energy potential of Trombay, Mumbai (19.1°N; 72.8°E), India
    Daoo, VJ
    Panchal, NS
    Sunny, F
    Sitaraman, V
    Krishnamoorthy, TM
    [J]. ENERGY CONVERSION AND MANAGEMENT, 1998, 39 (13) : 1351 - 1356
  • [7] Feasibility analysis of wind-energy utilization in Croatia
    Feretic, D
    Tomsic, Z
    Cavlina, N
    [J]. ENERGY, 1999, 24 (03) : 239 - 246
  • [8] ASSESSMENT OF THE ACCURACY OF GENERATED METEOROLOGICAL DATA FOR USE IN SOLAR-ENERGY SIMULATION STUDIES
    GANSLER, RA
    KLEIN, SA
    BECKMAN, WA
    [J]. SOLAR ENERGY, 1994, 53 (03) : 279 - 287
  • [9] GARCIAOLIVA F, 1998, B SOC BOT MEX, V62, P39
  • [10] TIME-SERIES ANALYSIS OF HOURLY GLOBAL HORIZONTAL SOLAR-RADIATION
    GORDON, JM
    REDDY, TA
    [J]. SOLAR ENERGY, 1988, 41 (05) : 423 - 429