Comparison of three methods for Weibull distribution in calculating wind energy potential

被引：1

作者：

Ihaddadene, Razika ^{[1
]}

Ihaddadene, Nabila ^{[1
]}

Mostefaoui, Merouane ^{[2
]}

机构：

[1] Msila Univ, Dept Mech Engn, Msila, Algeria

[2] Msila Weather stat, Msila, Algeria

来源：

POWER AND ENERGY SYSTEMS III | 2014年 / 492卷

关键词：

Wind energy; Weibull distribution; Graphic method; Power density method; Moments method;

D O I：

10.4028/www.scientific.net/AMM.492.574

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：

Three kinds of methods commonly used for estimating Weibull parameters were fitted to a collection of wind speed data at 10 m above ground level for the year of 2009 to determine the best distribution function which describes the wind speed variation at M'sila, Algeria site for wind energy. Three methods used the coefficient of determination R-2, root mean square error RMSE and Chi-Square chi(2) were compared with failure analysis. According to the results of failure analysis the moment method has better results than graphic method and power density method. The wind power density calculated from moment method shows a good approximation to estimate the power density. So the Weibull distribution using the moment method adequately fit the data and it is suitable for modeling the wind speed distribution in M'sila province of Algeria.

引用

页码：574 / +

页数：2

共 50 条

[21] Comparison of estimation methods for the Weibull distribution
Teimouri, Mahdi
Hoseini, Seyed M.
Nadarajah, Saralees
STATISTICS, 2013, 47 (01) : 93 - 109
[22] Influence of the Determination Methods of K and C Parameters on the Ability of Weibull Distribution to Suitably Estimate Wind Potential and Electric Energy
Mouangue, Ruben M.
Kazet, Myrin Y.
Kuitche, Alexis
Ndjaka, Jean-Marie
INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED, 2014, 3 (02): : 145 - 154
[23] Analysis and Comparison of Wind Potential by Estimating the Weibull Distribution Function: Application to Wind Farm in the Northern of Morocco
Bousla, Mohamed
Haddi, Ali
El Mourabit, Youness
Sadki, Ahmed
Mouradi, Abderrahman
El Kharrim, Abderrahman
Mobayen, Saleh
Zhilenkov, Anton
Bossoufi, Badre
SUSTAINABILITY, 2023, 15 (20)
[24] Comparison of wind profile estimation methods for calculating offshore wind potential for the Northeast region of Brazil
Rodrigues do Carmo, Luiz Felipe
Pinto de Almeida Palmeira, Ana Cristina
de Jesus Lauriano Antonio, Carlos Felipe
de Jesus Palmeira, Ronaldo Maia
INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, 2022, 13 (01) : 365 - 375
[25] Comparison of wind profile estimation methods for calculating offshore wind potential for the Northeast region of Brazil
Luiz Felipe Rodrigues do Carmo
Ana Cristina Pinto de Almeida Palmeira
Carlos Felipe de Jesus Lauriano Antonio
Ronaldo Maia de Jesus Palmeira
International Journal of Energy and Environmental Engineering, 2022, 13 : 365 - 375
[26] Investigation of Open Marine Wind Energy Potential by Weibull Distribution and Implementation to Izmir and Antalya
Karakaya, Duygu
Tatlipinar, Hasan
TURKISH PHYSICAL SOCIETY 34TH INTERNATIONAL PHYSICS CONGRESS (TPS34), 2018, 2042
[27] Investigation of offshore wind energy potential in Hong Kong based on Weibull distribution function
Shu, Z. R.
Li, Q. S.
Chan, P. W.
APPLIED ENERGY, 2015, 156 : 362 - 373
[28] Potential Evaluation of Wind Energy in Kuala Terengganu, Malaysia through Weibull Distribution Method
Saberi, Zainab
Fudholi, Ahmad
Sopian, Kamaruzzaman
INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND GREEN TECHNOLOGY 2018, 2019, 268
[29] Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application
Chang, Tian Pau
APPLIED ENERGY, 2011, 88 (01) : 272 - 282
[30] Evaluation of wind energy potential for four sites in Ireland using the Weibull distribution model
Jamdade, Parikshit Gautam
Jamdade, Shrinivas Gautamrao
Journal of Power Technologies, 2015, 95 (01): : 48 - 53

← 1 2 3 4 5 →