DETERMINATION OF DIRECTIONAL DESIGN WIND SPEED BY JOINT PROBABILITY DENSITY FUNCTION OF WIND SPEED AND DIRECTION

被引:0
|
作者
Zhang, X. Q. [1 ]
Chen, J. [1 ]
机构
[1] Tongji Univ, Dept Bldg Engn, Shanghai 200092, Peoples R China
来源
PROCEEDINGS OF THE SECOND INTERNATIONAL POSTGRADUATE CONFERENCE ON INFRASTRUCTURE AND ENVIRONMENT, VOL 2 | 2010年
关键词
joint probability density function of wind speed and direction(JPDF); design wind speed; DISTRIBUTIONS; ENERGY; MODELS;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper investigates the determination of design wind speed using joint probability density function (JPDF) of wind speed and direction. Three JPDF models, which are sectional probability distribution function model, anisotropic Gaussian distribution model and angular-linear model, are adopted. The theoretical background and model parameter calculation methods are first introduced. Functions for determining the design wind speed from these JPDF models are then derived. Finally, cases studies are conducted to determine the design wind speed using field measurements. It is found that the anisotropic Gaussian distribution model is not suitable for determination of design wind speed. The other two JPDF models, on the other hand, give reasonable results.
引用
收藏
页码:353 / +
页数:3
相关论文
共 50 条
  • [21] Fitting wind speed and wind direction probability distribution using mixture B-spline function
    Miao, Shuwei
    Li, Dan
    Gu, Yingzhong
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2023, 60
  • [22] On the surface wind speed probability density function over complex terrain
    Jimenez, P. A.
    Dudhia, J.
    Navarro, J.
    GEOPHYSICAL RESEARCH LETTERS, 2011, 38
  • [23] Probability density function selection based on the characteristics of wind speed data
    Yurusen, N. Y.
    Melero, Julio J.
    SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2016), 2016, 753
  • [24] Joint probability distributions for wave height, wind setup and wind speed
    Van Gelder, PHAJM
    Vrijling, JK
    Van Haaren, DH
    Coastal Engineering 2004, Vols 1-4, 2005, : 1032 - 1046
  • [25] A semi-parametric trivariate model of wind speed, wind direction, and air density for directional wind energy potential assessment
    Yang, Zihao
    Dong, Sheng
    ENERGY CONVERSION AND MANAGEMENT, 2024, 314
  • [26] Pair-Copula-based trivariate joint probability model of wind speed, wind direction and angle of attack
    Zhang, Jinxiang
    Zhang, Mingjin
    Jiang, Xulei
    Wu, Lianhuo
    Qin, Jingxi
    Li, Yongle
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2022, 225
  • [27] Data set on wind speed, wind direction and wind probability distributions in Puerto Bolivar - Colombia
    Valencia Ochoa, Guillermo
    Nunez Alvarez, Jose
    Vanegas Chamorro, Marley
    DATA IN BRIEF, 2019, 27
  • [28] MCMC SAMPLING FOR JOINT SEGMENTATION OF WIND SPEED AND DIRECTION
    Dobigeon, Nicolas
    Tourneret, Jean-Yves
    2009 IEEE 13TH DIGITAL SIGNAL PROCESSING WORKSHOP & 5TH IEEE PROCESSING EDUCATION WORKSHOP, VOLS 1 AND 2, PROCEEDINGS, 2009, : 250 - 255
  • [29] Modelling Wind for Wind Farm Layout Optimization Using Joint Distribution of Wind Speed and Wind Direction
    Feng, Ju
    Shen, Wen Zhong
    ENERGIES, 2015, 8 (04): : 3075 - 3092
  • [30] Joint Model of Wind Speed and Corresponding Direction Based on Wind Rose for Wind Energy Exploitation
    Zihao Yang
    Yifan Lin
    Sheng Dong
    Journal of Ocean University of China, 2022, 21 : 876 - 892