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Comparison of methods for estimating the impact of spectrum on PV output

机译:估算光谱对光伏输出影响的方法的比较

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Spectral correction factors are often used to characterize the impact of spectral variations on PV module output. We compare three different methods to predict a spectral correction factor and validate these against outdoor spectroradiometer measurements. It is found that commonly used models lead to a constant error due to assumptions made when determining coefficients describing geometric air mass dependence. We term this error the site spectral offset. This offset directly impacts estimations of the available solar resource and therefore affects the accuracy of energy yield predictions. We determine its value for the temperate coastal climate of Newcastle, Australia to be -2%, +1% and -3% for c-Si, CdTe and CIGS respectively. Errors in the daily resource estimation compared to pyranometer values of up to 15% are found for one module type while absolute variation of up to 60 Wm in hourly AM1.5 equivalent insolation is seen for all examples studied. Applying a modified version of the CREST estimation method results in a significant reduction in estimation errors over all timescales
机译:光谱校正因子通常用于表征光谱变化对PV组件输出的影响。我们比较了三种不同的方法来预测光谱校正因子,并针对室外光谱仪进行了验证。已经发现,由于在确定描述几何空气质量相关性的系数时所做的假设,常用的模型会导致恒定误差。我们将此误差称为站点光谱偏移。该偏移量直接影响可用太阳能资源的估计,因此影响能量产量预测的准确性。我们确定其对于澳大利亚纽卡斯尔温带沿海气候的价值分别为c-Si,CdTe和CIGS的-2%,+ 1%和-3%。对于一种模块类型,发现与每日总辐射量值相比,日辐射量值的误差高达15%,而在所研究的所有示例中,每小时AM1.5等效日照的绝对变化高达60 Wm。应用CREST估计方法的修改版本可在所有时间范围内显着减少估计误差

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