Wind Speed Data Analysis Using Weibull and Rayleigh Distribution Functions, Case Study: Five Cities Northern Morocco

被引：64

作者：

Bidaoui, Hicham ^{[1
,2
]}

El Abbassi, Ikram ^{[2
]}

El Bouardi, Abdelmajid ^{[1
]}

Darcherif, Abdelmoumen ^{[2
]}

机构：

[1] Abdelmalek Essaadi Univ, Fac Sci, Dept Phys, Tetouan, Morocco

[2] ECAM EPMI, Grad Sch Engn, F-95052 Cergy Pontoise, France

来源：

12TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING (INTER-ENG 2018) | 2019年 / 32卷

关键词：

Weibull distribution; Rayleigh distribution; Wind speed; Probability density function; Wind rose; RESOURCE ASSESSMENT; POWER-GENERATION;

D O I：

10.1016/j.promfg.2019.02.286

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The aim of the present paper is to evaluate and discuss the Energy wind potential of five major cities in Northern Morocco. The theoretical analysis is based on stochastic models of Weibull and Rayleigh using Probability Density Function approach. Various statistical indicators such as the determination coefficient (R-2), Chi square error (chi(2)), root mean square error (RMSE) and mean bias error (MBE) are considered. Then, a numerical simulation of the potential electrical power is carried out using the Enercon E10312350 wind turbine model. The results show that Weibull is more accurate than Rayleigh, especially for Tetuan and Al-Hoceima cities. Concerning electrical energy production, only the sites of Tetouan and Tangier gave interesting values. (C) 2019 The Authors. Published by Elsevier Ltd.

引用

页码：786 / 793

页数：8

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