首页> 外文期刊>Photovoltaics, IEEE Journal of >Changes in Cadmium Telluride Photovoltaic System Performance due to Spectrum
【24h】

Changes in Cadmium Telluride Photovoltaic System Performance due to Spectrum

机译:光谱导致碲化镉光伏系统性能的变化

获取原文
获取原文并翻译 | 示例
           

摘要

Seasonal and short-term weather-related changes in the solar spectrum can induce shifts in the performance of photovoltaic (PV) systems that affect both annual energy predictions and system characterization. The spectral shift factor, which is a metric indicative of how much the performance of a PV system will vary from nameplate due to deviations from the ASTM G173 spectrum (air mass of 1.5), is predicted using TMY3 data and the simple model of the atmospheric radiative transfer for sunshine (SMARTS) model and is correlated with cadmium telluride (CdTe) PV system performance in four different climates. The predicted spectral shift factors for CdTe systems show improved performance in the late summer and early fall and diminished performance in the winter. These intraannual variations can be as large as ± 3%, but annual spectral shift factors are typically within ± 1% of nameplate. The spectral shift factor of CdTe systems was found to be most sensitive to the precipitable water content of the atmosphere. Consequently, a parameterization of CdTe spectral shift factor as an exponential function of precipitable water is derived using the outputs of the SMARTS model in 11 locations. This parameterization is shown to predict observed monthly and daily fluctuations in CdTe PV performance. Future efforts will incorporate this methodology into energy predictions that will reduce uncertainty.
机译:太阳季节中与季节和短期天气相关的变化会导致光伏(PV)系统性能发生变化,从而影响年度能源预测和系统特性。使用TMY3数据和简单的大气模型预测光谱偏移因子,该光谱偏移因子指示由于与ASTM G173光谱(空气质量为1.5)的偏差而导致光伏系统性能与铭牌相差多少的指标。太阳辐射传递(SMARTS)模型,并与四种不同气候下的碲化镉(CdTe)光伏系统性能相关。 CdTe系统的预测光谱偏移因子显示出夏末和初秋的性能改善,而冬季的性能下降。这些年内变化可能高达±3%,但年度光谱偏移因子通常在铭牌的±1%之内。发现CdTe系统的光谱偏移因子对大气中可沉淀的水分最敏感。因此,使用SMARTS模型在11个位置的输出,得出CdTe光谱位移因子作为可沉淀水的指数函数的参数化。该参数化显示可预测CdTe PV性能的每月和每日波动。未来的工作将把这种方法学纳入能源预测中,以减少不确定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号