Insolation dependent solar module performance evaluation from PV monitoring data

V. Herbort, R. von Schwerin, B. Compton, L. Brecht, H. te Heesen
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引用次数: 6

Abstract

The quality and performance of the components of a photovoltaic (PV) power plant has an effect on its energy yield. Therefore, it is sensible to select the best performing components in order to get maximized energy yield. But for example the performance of PV modules is often only known at standard test conditions (STC) which are most of the time artificially created in laboratories. Measurement data of over 24,000 PV plants deployed at sites located in Central Europe has been captured for 2009 and 2010. This data was checked by routines in order to provide sufficient data quality. Then it was transformed to STC in order to compare the empiric results of components' performance. This transformation was done using temperature data and plant configuration data e.g. inverter efficiency. With this approach a quasi performance ratio can calculated which allows fair comparism of PV modules and module types under real-life conditions.
基于光伏监测数据的太阳能组件性能评估
光伏电站组件的质量和性能直接影响其发电量。因此,为了获得最大的能量产出,选择性能最好的组件是明智的。但举例来说,光伏组件的性能通常只在标准测试条件(STC)下才知道,而标准测试条件大多是在实验室人为创造的。2009年和2010年,中欧地区超过24000座光伏电站的测量数据已被采集。为了提供足够的数据质量,这些数据通过例程进行检查。然后将其转换为STC,以便比较构件性能的经验结果。这种转换是使用温度数据和设备配置数据(如逆变器效率)完成的。通过这种方法,可以计算出准性能比,从而可以在实际条件下对光伏模块和模块类型进行公平比较。
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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