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Diffuse and direct light solar spectra modeling in PV module performance rating

机译:光伏组件性能等级中的漫射和直射太阳光谱建模

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摘要

To achieve higher accuracy in power rating of photovoltaic modules and systems we recently developed an advanced PV performance model that separately addresses the contribution of diffuse and direct solar irradiance. To further improve the accuracy, we upgraded the model in this study to include the influence of solar spectrum on PV module conversion efficiency. We measured solar spectrum in Ljubljana separately for diffuse and direct irradiances under different weather conditions and calculated spectral losses or gains compared to AM1.5 reference spectrum. For diffuse irradiance under clear sky conditions we detected spectral losses from 4.5% during morning hours and up to 23.9% at around noon. During cloudy conditions the average losses were 3.5% and the variation of losses during the day was hardly noticeable. For direct irradiance we detected spectral gains, ranging from 0.8% to 10.3% for air mass values from 1.1 to 5.0, respectively. We modeled obtained results of spectral influence on PV module performance by introducing spectral correction factor separately for direct irradiance with air mass as an input parameter and for diffuse irradiance with the share of diffuse irradiance as an input parameter. The spectral correction factors are applied to measured diffuse and direct irradiance which are then used as an input parameters of the developed PV performance model. We evaluated the increase of accuracy of the model with the spectral upgrade for one month and one year measurements of a silicon PV module at an outdoor monitoring test site in Ljubljana, Slovenia. For the month of June 2014 the normalized root-mean square error of the spectrally upgraded model was 2.3% compared to 2.7% without spectral correction. For the eight snowless months period in 2014 the error of evaluated performance model improved from 3.7% to 3.3% when the spectral correction was applied. (C) 2017 Elsevier Ltd. All rights reserved.
机译:为了获得更高的光伏模块和系统额定功率精度,我们最近开发了一种先进的PV性能模型,该模型分别解决了漫反射和直接太阳辐射的影响。为了进一步提高精度,我们升级了本研究中的模型,以包括太阳光谱对光伏组件转换效率的影响。我们分别测量了卢布尔雅那在不同天气条件下的太阳光谱的散射和直接辐照度,并计算了与AM1.5参考光谱相比的光谱损失或增益。对于晴朗天空条件下的漫射辐射,我们检测到光谱损失从早晨的4.5%到中午的23.9%。在阴天期间,平均损失为3.5%,白天的损失变化几乎不明显。对于直接辐照度,我们检测到的光谱增益在空气质量值从1.1到5.0的范围内分别为0.8%到10.3%。我们通过分别引入光谱校正因子(以空气质量为输入参数的直接辐照度和以散射辐照度的份额为输入参量的散射辐照度)来建模获得的光谱对PV组件性能影响的结果模型。将光谱校正因子应用于测得的漫射和直接辐照度,然后将其用作已开发的PV性能模型的输入参数。我们在斯洛文尼亚卢布尔雅那的室外监测测试点对硅光伏组件进行了为期一个月和一年的光谱升级,评估了模型准确性的提高。 2014年6月,频谱升级模型的归一化均方根误差为2.3%,而未进行光谱校正的则为2.7%。在应用频谱校正后,2014年的八个无雪月份期间,评估的性能模型的误差从3.7%改善到3.3%。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Solar Energy》 |2017年第7期|310-316|共7页
  • 作者

    Kirn Blaz; Topic Marko;

  • 作者单位

    Univ Ljubljana, Fac Elect Engn, Trzaska Cesta 25, Ljubljana 1000, Slovenia;

    Univ Ljubljana, Fac Elect Engn, Trzaska Cesta 25, Ljubljana 1000, Slovenia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    PV performance model; Irradiance components; Solar spectrum; Spectral response;

    机译:光伏性能模型辐照度分量太阳光谱光谱响应;

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