首页> 外文会议>Solar 2003 Conference: Including ASES(American Solar Energy Society) Annual Conference and National Passive Solar Conference; 20030621-26; Austin,TX(US) >PREDICTING LONG-TERM PERFORMANCE OF PHOTOVOLTAIC ARRAYS USING SHORT-TERM TEST DATA AND AN ANNUAL SIMULATION TOOL
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PREDICTING LONG-TERM PERFORMANCE OF PHOTOVOLTAIC ARRAYS USING SHORT-TERM TEST DATA AND AN ANNUAL SIMULATION TOOL

机译:使用短期测试数据和年度模拟工具预测光伏阵列的长期性能

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摘要

We present a method of analysis for predicting annual performance of an in-situ photovoltaic (PV) array using short-term test data and an annual simulation tool. The method involves fitting data from a family of Ⅰ-Ⅴ curves (depicting current versus voltage) taken from a short-term test (1 to 3 day) of a PV array to a set of polynomial functions. These functions are used to predict the array's behaviour under a wide range of temperatures and irradiances. TRNSYS, driven by TMY2 weather data, is used to simulate the array's behaviour under typical weather conditions. We demonstrate this method by using results from a nominal 630-W array.
机译:我们提出了一种使用短期测试数据和年度模拟工具来预测原位光伏(PV)阵列年度性能的分析方法。该方法涉及将来自PV阵列的短期测试(1-3天)的一系列Ⅰ-Ⅴ曲线(表示电流与电压)的数据拟合到一组多项式函数。这些功能可用来预测阵列在各种温度和辐照度下的行为。由TMY2气象数据驱动的TRNSYS用于模拟典型天气条件下阵列的行为。我们通过使用标称630 W阵列的结果来演示此方法。

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