Wind Speed Modeling and Energy Production Simulation with Weibull Sampling

被引:0
|
作者
Yu, Zuwei [1 ]
Tuzuner, Akiner [2 ]
机构
[1] Purdue Univ, Energy Ctr, W Lafayette, IN 47907 USA
[2] Energy Ctr, W Lafayette, IN 47907 USA
来源
2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11 | 2008年
关键词
Wind speed; Weibull distribution; MLE; MOM; energy production;
D O I
暂无
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
This paper describes the Maximum Likely Estimation (MLE) method and the Method of Moments (MOM) for wind speed modeling. The Weibull wind speed distribution models are fitted using the two methods and the wind data from a tall tower in the Midwestern United States, with seasonal wind speed variations also considered in the modeling. It turned out that both methods provide very similar results with comparable accuracy. The Monte Carlo simulation is used for obtaining expected wind energy production using a Weibull sampling technique.
引用
收藏
页码:499 / 504
页数:6
相关论文
共 50 条
  • [1] Fractional Weibull Wind Speed Modeling For Wind Power Production Estimation
    Yu, Zuwei
    Tuzuner, Akiner
    2009 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-8, 2009, : 2874 - 2880
  • [2] Fractional Weibull Wind Speed Modeling For Wind Power Production Estimation
    Yu, Zuwei
    Tuzuner, Akiner
    2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4, 2009, : 952 - 957
  • [3] An alternative distribution to Weibull for modeling the wind speed data: Inverse Weibull distribution
    Akgul, Fatma Gul
    Senoglu, Birdal
    Arslan, Talha
    ENERGY CONVERSION AND MANAGEMENT, 2016, 114 : 234 - 240
  • [4] Modeling Wind-Speed Statistics beyond the Weibull Distribution
    Lencastre, Pedro
    Yazidi, Anis
    Lind, Pedro G.
    ENERGIES, 2024, 17 (11)
  • [5] Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis
    Seguro, JV
    Lambert, TW
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2000, 85 (01) : 75 - 84
  • [6] Modeling a robust wind-speed forecasting to apply to wind-energy production
    José Gustavo Hernández-Travieso
    Carlos M. Travieso-González
    Jesús B. Alonso-Hernández
    José Miguel Canino-Rodríguez
    Antonio G. Ravelo-García
    Neural Computing and Applications, 2019, 31 : 7891 - 7905
  • [7] Modeling a robust wind-speed forecasting to apply to wind-energy production
    Gustavo Hernandez-Travieso, Jose
    Travieso-Gonzalez, Carlos M.
    Alonso-Hernandez, Jesus B.
    Miguel Canino-Rodriguez, Jose
    Ravelo-Garcia, Antonio G.
    NEURAL COMPUTING & APPLICATIONS, 2019, 31 (11): : 7891 - 7905
  • [8] A novel approach to Weibull distribution for the assessment of wind energy speed
    Aljeddani, Sadiah M. A.
    Mohammea, M. A.
    ALEXANDRIA ENGINEERING JOURNAL, 2023, 78 : 56 - 64
  • [9] Weibull representative compressed wind speed data for energy and performance calculations of wind energy systems
    Celik, AN
    ENERGY CONVERSION AND MANAGEMENT, 2003, 44 (19) : 3057 - 3072
  • [10] Weibull distribution for determination of wind analysis and energy production
    Oral, Faruk
    Ekmekci, Ismail
    Onat, Nevzat
    WORLD JOURNAL OF ENGINEERING, 2015, 12 (03) : 215 - 220