校准
光伏系统
辐照度
滤波器(信号处理)
材料科学
计算机科学
物理
光电子学
分析化学(期刊)
光学
化学
电气工程
色谱法
量子力学
计算机视觉
工程类
作者
Tao Song,Rafell Williams,L. Ottoson,Charles Mack,John F. Geisz,Jeremy L. Brewer,Nikos Kopidakis
出处
期刊:IEEE Journal of Photovoltaics
日期:2023-11-01
卷期号:13 (6): 793-799
被引量:2
标识
DOI:10.1109/jphotov.2023.3304359
摘要
Reference solar cells play a crucial role in determining the performance of photovoltaic (PV) devices. In the performance calibration chain of mainstream single-junction PV technologies, common reference cell types include Si, KG-filtered Si, and GaAs cells. For emerging multijunction (MJ) PV technologies, such as CdTe/Si and perovskite/Si, Si reference cells with colored glass near-infrared-longpass (LP) filters like Schott RG-715 and 850 glass have been proposed. They offer a better spectral response that matches the bottom junctions of the emerging MJs, which could lead to lower uncertainties in performance measurements. However, this article reveals a prominent decrease in short-circuit current ( I SC ) during National Renewable Energy Laboratory's primary calibration over the course of minutes when using this type of LP-filtered reference cell, which could result in unacceptable measurement errors. Unlike quartz or KG filter glasses, LP colored glass filters demonstrate temperature-sensitive cut-on wavelength. When incident irradiance reaches these LP-filtered reference cells, the increased temperature due to light absorption causes a shift of the cut-on to longer wavelength. As a result, the device I SC exhibits a continuous decrease (approximately a 2.5% drop with RG850 LP filter in a 5-min duration) even when the device temperature is controlled at 25 °C. To address the temperature gradient issue between colored glass LP filter and the reference cell, we propose the direct integration of thin-film LP semiconductor layer on reference cells. This type of LP-filter-integrated cell has shown minimal temperature-related I SC variation and can serve as a more reliable reference cell source for accurate performance measurements.
科研通智能强力驱动
Strongly Powered by AbleSci AI