A statistical investigation of wind characteristics and wind energy potential based on the Weibull and Rayleigh models in Rwanda

被引:143
|
作者
Safari, Bonfils [1 ]
Gasore, Jimmy [1 ]
机构
[1] Natl Univ Rwanda, Dept Phys, Huye, South Province, Rwanda
关键词
Wind speed; Wind energy; Weibull distribution; Rayleigh distribution; Wind roses; Rwanda; SPEED; PARAMETERS;
D O I
10.1016/j.renene.2010.04.032
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A wind energy system converts the kinetic energy of the wind into mechanical or electrical energy that can be harnessed for practical uses and transform the economy of rural areas where access to water and electricity is very restricted and industry is almost nonexistent in most of the developing countries like Rwanda. Assessing wind power potential for a location is an imperative requirement before making a decision for the installation of windmills or a wind electric generator and evaluating plans for relating projects. The aim of the present study was to evaluate the potential of wind resource in Rwanda and to constitute a database for the users of the wind power. A time series of hourly daily measured wind speed and wind direction for the period between 1974 and 1993 on five main Rwandan meteorological stations was provided by the National Meteorology Department. Statistical methods applying Weibull and Rayleigh distribution were presented to evaluate the wind speed characteristics and the wind power potential at a height of 10 m above ground level using hourly monthly average data. Those characteristics were extrapolated for higher levels in altitude. The results give a global picture of the distribution of the wind potential in different locations of Rwanda. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2874 / 2880
页数:7
相关论文
共 50 条
  • [21] Estimation of wind energy potential and comparison of six Weibull parameters estimation methods for two potential locations in Nepal
    Pandeya, Bibek
    Prajapati, Bibek
    Khanal, Aayush
    Regmi, Basant
    Shakya, Shree Raj
    INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, 2022, 13 (03) : 955 - 966
  • [22] Analysis of wind characteristics and wind energy resource assessment for Tonga using eleven methods of estimating Weibull parameters
    Kutty, Saiyad S.
    Khan, M. G. M.
    Ahmed, M. Rafiuddin
    HELIYON, 2024, 10 (09)
  • [23] Statistical assessment of wind energy potential for power generation at Imphal, Manipur (India)
    Rahman, Syed Mujibur
    Chattopadhyay, Himadri
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2023, 45 (03) : 7376 - 7388
  • [24] Statistical analysis of wind energy potential using different estimation methods for Weibull parameters: a case study
    Wadi, Mohammed
    Elmasry, Wisam
    ELECTRICAL ENGINEERING, 2021, 103 (06) : 2573 - 2594
  • [25] Estimation of wind energy potential and Weibull parameter extrapolation of the city of Annaba, Algeria
    Berrezzek, F.
    Khelil, K.
    Bouadjila, T.
    2019 INTERNATIONAL CONFERENCE ON ADVANCED ELECTRICAL ENGINEERING (ICAEE), 2019,
  • [26] A Comparison of Gumbel and Weibull Statistical Models to Estimate Wind Speed for Wind Power Generation
    Martin, D.
    Zhang, W.
    Chan, J.
    Lindley, J.
    2014 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2014,
  • [27] Statistical analysis of wind energy potential using different estimation methods for Weibull parameters: a case study
    Mohammed Wadi
    Wisam Elmasry
    Electrical Engineering, 2021, 103 : 2573 - 2594
  • [28] Statistical analysis of wind resource and energy potential assessment of Quaidabad site, Sindh Pakistan
    Hulio, Zahid Hussain
    Yousufzai, Gm
    Jiang, Wei
    JOURNAL OF ENGINEERING DESIGN AND TECHNOLOGY, 2021, 19 (06) : 1291 - 1316
  • [29] THE COMPARATIVE ANALYSIS OF TWO DIFFERENT STATISTICAL DISTRIBUTIONS USED TO ESTIMATE THE WIND ENERGY POTENTIAL
    Kurban, Mehmet
    Hocaoglu, Fatih Onur
    Kantar, Yeliz Mert
    PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, 2007, 13 (01): : 103 - 109
  • [30] Analysis of Wind Characteristics using ARMA & Weibull Distribution
    Nayak, Ashwini Kumar
    Mohanty, Kanungo Barada
    2018 NATIONAL POWER ENGINEERING CONFERENCE (NPEC), 2018,