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INTERLABORATORY COMPARISON OF THE PV MODULE ENERGY RATING STANDARD IEC 61853-3

机译:光伏模块能源额定值标准IEC 61853-3的互上比较

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The IEC 61853 standard series "Photovoltaic (PV) module performance testing and energy rating" aims to provide a standardized measure for PV module performance, namely the Climate Specific Energy Rating (CSER). An algorithm to calculate CSER is specified in part 3 based on laboratory measurements defined in parts 1 and 2 as well as the climate data set given in part 4. To test the comparability and clarity of the algorithm in part 3, we share the same input data, obtained by measuring a standard photovoltaic module, among different research organizations. Each participant then uses their individual implementations of the algorithm to calculate the resulting CSER values. The initial blind comparison reveals differences of 0.133 (14.7%) in CSER between the ten different implementations of the algorithm. Despite the differences in CSER, an analysis of intermediate results revealed differences of less than 1% at each step of the calculation chain among at least three participants. Thereby, we identify the extrapolation of the power table, the handling of the differences in the wavelength bands between measurement and climate data set, and several coding errors as the three biggest sources for the differences. After discussing the results and comparing different approaches, all participants rework their implementations individually and compare the results two more times. In the third intercomparison, the differences are less than 0.029 (3.2%) in CSER. When excluding the remaining three outliers, the largest absolute difference between the other seven participants is 0.0037 (0.38%). Based on our findings we identified four recommendations for improvement of the standard series.
机译:IEC 61853标准系列“光伏(PV)模块性能测试和能源额定值”旨在为光伏模块性能提供标准化措施,即气候特殊能量额定值(CSER)。基于第1部分和第2部分中定义的实验室测量,以及第4部分给出的气候数据集,在第3部分中指定了计算CSER的算法。要测试第3部分中算法的可比性和清晰度,我们共享相同的输入通过测量标准光伏模块,在不同的研究组织中获得的数据。然后,每个参与者使用它们的各个实现来计算结果的CSER值。初始盲目比较揭示了算法十个不同实现之间的CSE中的0.133(14.7%)的差异。尽管CSER存在差异,但在至少三个参与者之间的每个步骤中,中间结果的分析显示在计算链中的每个步骤中的差异小于1%。因此,我们识别功率表的外推,处理测量和气候数据集之间的波长频带的差异,以及几个编码误差作为差异的三个最大来源。在讨论结果并比较不同的方法后,所有参与者都单独返工实施实施,并将结果与​​再次进行比较。在第三个相应的中,CSER中的差异小于0.029(3.2%)。在排除剩余的三个异常值时,其他七位参与者之间的最大绝对差异为0.0037(0.38%)。根据我们的研究结果,我们确定了四项改进标准系列的建议。

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