研究目的
Investigating the potential of interface textures to mitigate optical losses in liquid phase crystallized silicon thin-film solar cells on glass.
研究成果
The SMART texture at the glass-silicon interface combined with a random pyramid texture at the rear side of the absorber is identified as the most promising light management scheme. This combination, along with anti-reflective measures at the air-glass interface, could enhance maximum achievable short-circuit current density and potentially reach a power conversion efficiency of 18% for LPC silicon thin-film solar cells on glass.
研究不足
The study is limited by the one-dimensional simulation approach and the specific textures investigated. Potential areas for optimization include the combination of SMART texture with silicon oxy-nitride passivation layer and anti-reflective measures at the air-glass interface.
1：Experimental Design and Method Selection
The study employs one-dimensional simulations and experimental measurements to analyze optical losses in liquid phase crystallized silicon thin-film solar cells on glass. The simulations use the optical simulation software 'GenPro4' for calculating absorptance in a layer stack based on the transfer matrix method.
2：Sample Selection and Data Sources
Samples include liquid phase crystallized silicon thin-film solar cells on glass with planar and textured glass-silicon interfaces. Data sources include absorptance measurements using a Perkin Elmer Lambda 1050 photospectrometer and external quantum efficiency measurements with a home-made set-up.
3：List of Experimental Equipment and Materials
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4：Experimental Procedures and Operational Workflow
The experimental process includes sample preparation with different interlayer textures, liquid phase crystallization using a line-shaped laser, rapid thermal annealing, and wet-chemical etching. Absorptance and external quantum efficiency measurements are then performed.
5：Data Analysis Methods
Data analysis involves comparing measured absorptance with calculated absorptance from simulations to identify losses. Internal quantum efficiency is calculated from absorptance and external quantum efficiency measurements.
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