Big Data Analysis, Design, Effect Fabrication, and Properties Analysis of SiO2/Cr/SiO2 Colored Solar Selective
Fu-Der Lai1, Yen-Ting Lai2, Chang-Song Chen1
1Institute of Photonics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 82445, Taiwan.
Abstract:
In today's era of rapid computing, advanced big data analytics enables precise results and efficient trend analysis. By leveraging these tools, the influence of various film thicknesses of Colored Solar Selective Absorbers (CSSAs) on solar absorption efficiency (αs) and chromaticity was investigated. A clear and visually informative Chromaticity Coordinate Distribution (CCD) versus αs diagram was constructed within the CIE xy chromaticity diagram, establishing a correlation between chromaticity and αs. Photo-Thermal Conversion Efficiency (PTCE) ≈ αs - 2% when αs ≥ 90%. Subsequently, utilizing colored CCD-αs diagrams, seven SiO2/Cr/SiO2 CSSAs, each with unique colors and αs, were designed, fabricated, and subjected to an analysis of their optical and material properties. We explored the influence of oxygen atom infiltration into the CSSA, leading to the oxidation of the Cr layer and consequent alterations in CSSA properties. Additionally, this study delved into analyzing the effect of substrate surface roughness on the oxidation resistance, αs, color, and corrosion resistance of CSSAs.
