Image analysis-based prediction of optical reflectance on mild-textured surface for tandem bottom cell

초록

Silicon-based tandem solar cells show significant potential for achieving high efficiency at a low cost in the solar energy field. Enhancing the optical performance of tandem bottom cells through textured silicon surfaces has been widely recognized. Therefore, precise control of surface texturing is critical for improving optical reflectance and achieving optimal current matching across tandem cells. Furthermore, careful optimization of pyramid height and surface roughness is essential for compatibility with subsequent processing steps. In this study, we employed a potassium silicate (K2SiO3) solution-based texturing process to fabricate sub-micrometer pyramid structures on silicon surfaces. The evolution of the pyramidal texture was characterized using SEM surface imaging, and the process parameters were extracted through image analysis techniques. The parameters enabled reliable prediction of wavelength-dependent optical reflectance, providing insights into the relationship between texture features and optical performance.

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