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Predicting energy production for multijunction photovoltaics: Effects of spectral variation and cumulative irradiance

机译:预测多结光伏发电量:光谱变化和累积辐照度的影响

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Variation of the incident spectrum under real-world illumination conditions can degrade the performance of series connected multijunction solar cells that are optimized for performance under the AM1.5D standard spectrum. Current approaches to correct for this factor and estimate energy production for deployed systems require large amounts of field data and are not useful for evaluating prospective designs. We present a set of 20 spectra that capture the average spectral composition for direct normal irradiance at different cumulative irradiance levels. Combined with the NSRDB information on the frequency of cumulative irradiance levels at locations across the United States, these 20 spectra allow us to predict the energy production of spectrum splitting photovoltaic systems with minimal computation required.
机译:实际照明条件下入射光谱的变化会降低串联连接的多结太阳能电池的性能,这些电池针对AM1.5D标准光谱下的性能进行了优化。当前的纠正此因素和估计已部署系统的能量产生的方法需要大量的现场数据,并且对评估预期设计没有用。我们提出了一组20个光谱,这些光谱在不同的累积辐照度水平下捕获直接法向辐照度的平均光谱成分。结合NSRDB有关美国各地累积辐照度水平频率的信息,这20个光谱使我们能够以最少的计算量来预测光谱分裂光伏系统的能量产生。

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