computational optical analysis of 3d modeled crystalline silicon substrates randomly textured

Characterisation & Simulation of Si Cells 0103 physical sciences Silicon Materials and Cells 01 natural sciences 7. Clean energy
DOI: 10.4229/eupvsec20202020-2cv.1.16 Publication Date: 2020-01-01
ABSTRACT
37th European Photovoltaic Solar Energy Conference and Exhibition; 329-331<br/>This work proposes to demonstrate a workflow to access the optical performance of randomly texturized silicon substrates using a numerical 3D image reconstruction algorithm followed by Finite-Difference Time-Domain (FDTD) simulations based on direct integration of Maxwell’s time-dependent equations. The characterized samples were obtained by metal-assisted chemical etching and have no particular patterning and show irregular light-trapping structures with variable dimensions. The method was successfully validated by comparing the effective reflectivity for the solar spectrum AM1.5g with experimental measurements. The obtained results indicate a potential improvement of the accuracy of computational simulations of optical generation rates associated with highly complex micro and nanostructured surfaces to be applied to electro-dynamic simulations of photonic crystals as photovoltaic devices.<br/>
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