色度计
光伏系统
光学
比色法
材料科学
分光计
有色的
积分球
表征(材料科学)
色差
扫描仪
光电子学
计算机科学
计算机视觉
纳米技术
复合材料
物理
工程类
电气工程
滤波器(信号处理)
作者
Alejandro Borja Block,Jordi Escarre Palou,Antonin Faes,Alessandro Virtuani,Christophe Ballif
出处
期刊:Solar Energy
[Elsevier BV]
日期:2023-12-02
卷期号:267: 112227-112227
被引量:6
标识
DOI:10.1016/j.solener.2023.112227
摘要
Accurate and reproducible color characterization is essential for colored building integrated photovoltaic products, both for manufacturing quality control and assessing long-term color stability. However, existing characterization techniques struggle to accurately determine color when a surface is behind a transparent layer like a solar PV laminate. In this study, we compare different colorimetric techniques and propose an innovative colorimeter based on a fiber optic spectrometer and large area illumination to address this issue. Samples with varying transparent glass thicknesses and underlying colors are laminated and characterized using a scanner, an integrated sphere spectrometer, a commercial portable colorimeter, and the proposed large area illumination colorimeter. Results show that common scanners produce darker images and inaccurate color determination due to light losses in the glass. As glass thickness increases, reflectance decreases with the integrated sphere spectrometer and portable colorimeter. However, the large area illumination colorimeter exhibits only minimal signal reduction. High reflective foils experience more reflectance reduction with thicker glass than low reflective ones. All devices yield comparable results without the glass layer. The large area illumination colorimeter, compensating for light losses, proves to be a suitable solution for accurately measuring color under glass laminates using reflected light. For example, it reduces the color change from 57 (commercial portable colorimeter) to only 3 for an ivory colored glass laminate. This innovative tool has the potential to improve color characterization in building integrated photovoltaic products, enabling better manufacturing quality control and assessment of long-term color stability.
科研通智能强力驱动
Strongly Powered by AbleSci AI