A comparison of methodologies for monthly wind energy estimation

A comparison of methodologies for monthly wind energy estimation
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DOI:
10.1002/we.315
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发表时间:
2009-10
期刊:
影响因子:
4.1
通讯作者:
E. García-Bustamante;J. González-Rouco;P. Jiménez;J. Navarro;J. Montávez
E. García-Bustamante;J. González-Rouco;P. Jiménez;J. Navarro;J. Montávez
中科院分区:
工程技术3区
文献类型:
--
作者:
E. García-Bustamante;J. González-Rouco;P. Jiménez;J. Navarro;J. Montávez

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评估了通过三种不同方法获得的风能月估计值。为此目的,使用了1999年6月至2003年6月期间西班牙东北部五个风电场测量的每小时风力和风力发电量数据。其中一种方法是基于每小时风速频率分布和相应的发电量的综合贡献。考虑了几种表示经验风能与风速关系的备选方案,并评估了它们对月能量估计误差的影响。另有两种方法直接从月风值得出月度能量估计:一种是使用理论功率曲线来获得内插的月度风力发电量,另一种是在观测风速和风能月对之间进行简单的线性回归,作为全球功率曲线的近似值。这三种方法可靠地再现了每月的风能总量。结果还表明,风速与发电量之间的关系在月时间尺度上是一个合理的线性假设。这种方法涉及到相对于需要更精细的时间分辨率数据的其他标准程序的简化。版权所有©2009 John Wiley&Sons,Ltd.
Monthly wind energy estimations obtained by means of three different methodologies are evaluated. Hourly wind and wind power production data measured at five wind farms in the Northeast of Spain within the period spanning from June 1999 to June 2003 were employed for this purpose. One of the approaches is based on the combined contribution of the hourly wind speed frequency distribution and the corresponding power production. Several alternatives to represent the empirical wind power versus wind speed relationship are considered and their impacts on the error of monthly energy estimations assessed. Two more approaches derive monthly energy estimates directly from monthly wind values: one uses the theoretical power curve to obtain interpolated monthly wind power production values and the other consists in a simple linear regression between the observed wind speed and wind power monthly pairs, which serves as an approximation to the global power curve. The three methodologies reproduce reliably the total monthly wind energy. Results also reveal that linearity is a reasonable assumption for the relation between wind speed and power production at monthly timescales. This approach involves a simplification with respect to other standard procedures that require finer temporal resolution data. Copyright © 2009 John Wiley & Sons, Ltd.