A study on data accuracy by comparing between the Weibull and Rayleigh distribution function to forecast the wind energy potential for several locations of Bangladesh

2016 4th International Conference on the Development in the in Renewable Energy Technology (ICDRET) Pub Date : 1900-01-01 DOI:10.1109/ICDRET.2016.7421510

S. Reza, Pallabi Zaman, Arif Ahammad, Ifrat Zaman Ifty, Md. Faysal Nayan

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引用次数: 4

Abstract

This paper focuses the behaviour of wind speed pattern in some selected locations of Bangladesh in order to forecast the wind energy potential of Bangladesh. In our study, the wind speed data for Cox's Bazar, Kuakata, Swandip, Hatiya and Sydpur between 2004 and 2007 have collected from several organizations i.e. Bangladesh Meteorological Department (BMD), Local Government Engineering Development (LGED) and Infrastructure Development Company Ltd (IDCOL) and processed on daily, monthly and hourly basis. The data have been examined by Weibull distribution function using Weibull Graphical method in order to find the shape parameter (k) and scale parameter (c) and thus compared between the Weibull and Rayleigh distribution functions to deduce the wind availability of the selected locations. Moreover, statistically Correlation Coefficient (R2), Root Mean Square Error (RMSE), and Coefficient of Efficiency (COE) methods have also employed based on the data in order to evaluate the performance of the Weibull probability density function.

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通过比较Weibull和Rayleigh分布函数来预测孟加拉国几个地点的风能潜力的数据准确性研究

本文着重分析了孟加拉国一些选定地点的风速模式变化，以预测孟加拉国的风能潜力。在我们的研究中，2004年至2007年间Cox's Bazar, Kuakata, Swandip, Hatiya和Sydpur的风速数据收集自几个组织，即孟加拉国气象部门(BMD)，地方政府工程发展(LGED)和基础设施发展有限公司(IDCOL)，并按日，月和小时进行处理。利用威布尔图法对数据进行威布尔分布函数检验，求出形状参数(k)和尺度参数(c)，并将威布尔分布函数与瑞利分布函数进行比较，从而推导出所选位置的风可用性。此外，还基于数据采用统计相关系数(R2)、均方根误差(RMSE)和效率系数(COE)方法来评价威布尔概率密度函数的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 4th International Conference on the Development in the in Renewable Energy Technology (ICDRET)

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