WIND SPEED CHARACTERISTICS AND RESOURCE ASSESSMENT USING WEIBULL PARAMETERS

被引:52
|
作者
Rehman, S. [1 ,2 ]
Alam, A. M. Mahbub [2 ,3 ]
Meyer, J. P. [2 ]
Al-Hadhrami, L. M. [1 ]
机构
[1] King Fahd Univ Petr & Minerals, Res Inst, Engn Res Ctr, Dhahran 31261, Saudi Arabia
[2] Univ Pretoria, Mech & Aeronaut Engn Dept, ZA-0002 Pretoria, South Africa
[3] Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen, Peoples R China
关键词
Wind speed; Wind power density; Weibull distribution; Frequency; Most probable wind speed; Maximum energy carrying wind speed; POWER-GENERATION; ENERGY; KINGDOM; TURBINE; LOCATIONS; SITE;
D O I
10.1080/15435075.2011.641700
中图分类号
O414.1 [热力学];
学科分类号
摘要
The study utilized wind speed measurements made at three heights and the Weibull parameters to study the wind speed characteristics and assess the wind power potential of seven sites in Saudi Arabia. Weibull shape and scale parameters were estimated using maximum likelihood method. These parameters were found to fit the actual wind frequency distributions with acceptable coefficient of determination (>0.95) for all the sites considered in this study. The annual mean wind speed varied between 4.30 m/s and 5.9 m/s at 40 m above ground level corresponding to Gassim and Dhulom data collection stations. The local wind shear exponent calculated using measured wind speed values at 20, 30, and 40 m and the power law were established for future use and were found to vary from 0.06 to 0.34 corresponding to Gassim and Yanbo, respectively. The Weibull shape and scale parameters increased more at 30 m compared to at 40 m with increase in height from 20 to 30 m and 30 to 40 m. No regular monthly trends could be detected whereas monthly mean wind speed, shape, and scale parameters, most probable wind speed, and maximum energy carrying wind speed was concerned. The most windy sites (Dhulom, Arar, Juaymah, Rawdat Ben-Habbas, and Dhahran) were suggested for wind power development in Saudi Arabia.
引用
收藏
页码:800 / 814
页数:15
相关论文
共 50 条
  • [21] Study of Diurnal and Seasonal Wind Characteristics for Wind Resource Assessment
    Weerasinghe, R. M.
    Pannila, A. S.
    Jayananda, M. K.
    Sonnadara, D. U. J.
    INTERNATIONAL ENERGY JOURNAL, 2012, 13 (04): : 177 - 188
  • [22] Wind energy resource assessment for Kiribati with a comparison of different methods of determining Weibull parameters
    Aukitino, Tiaon
    Khan, M. G. M.
    Ahmed, M. Rafiuddin
    ENERGY CONVERSION AND MANAGEMENT, 2017, 151 : 641 - 660
  • [23] New approach to calculate Weibull parameters and comparison of wind potential of five cities of Pakistan
    Rajput, Ahmed Ali
    Daniyal, Muhammad
    Zahid, Muhammad Mustaqeem
    Nafees, Hasan
    Shafi, Misha
    Uddin, Zaheer
    ADVANCES IN ENERGY RESEARCH, 2022, 8 (02): : 95 - 110
  • [24] Evaluation of diverse methods used to estimate Weibull parameters for wind speed in various Algerian stations
    Louassa, Samira
    Kaabeche, Abdelhamid
    Djamai, Mourad
    2018 INTERNATIONAL CONFERENCE ON WIND ENERGY AND APPLICATIONS IN ALGERIA (ICWEAA' 2018), 2018,
  • [25] Method of Quartile for Determination of Weibull Parameters and Assessment of Wind Potential
    Uddin, Zaheer
    Sadiq, Naeem
    KUWAIT JOURNAL OF SCIENCE, 2023, 50 (03) : 105 - 119
  • [26] Wind resource clustering based on statistical Weibull characteristics
    van Vuuren, Chantelle Y. Janse
    Vermeulen, Hendrik J.
    WIND ENGINEERING, 2019, 43 (04) : 359 - 376
  • [27] Wind energy potential assessment for KPT with a comparison of different methods of determining Weibull parameters
    Hulio, Zahid Hussain
    Jiang, Wei
    INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2020, 14 (01) : 59 - 84
  • [28] Multivariate Weibull Distribution for Wind Speed and Wind Power Behavior Assessment
    Villanueva, Daniel
    Feijoo, Andres
    Pazos, Jose L.
    RESOURCES-BASEL, 2013, 2 (03): : 370 - 384
  • [29] An optimal approach of wind power assessment using Chebyshev metric for determining the Weibull distribution parameters
    Saeed, Muhammad Abid
    Ahmed, Zahoor
    Yang, Jian
    Zhang, Weidong
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2020, 37
  • [30] A novel information geometry method for estimating parameters of the Weibull wind speed distribution
    Kurban, Mehmet
    Dokur, Emrah
    Ceyhan, Salim
    PROCEEDINGS OF THE ESTONIAN ACADEMY OF SCIENCES, 2018, 67 (01) : 39 - 49