薄膜太阳能电池中光捕获的工程无序

P. Kowalczewski, M. Liscidini, L. Andreani
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引用次数: 0

摘要

光捕获对于提高薄膜太阳能电池的效率和降低先进光电器件的成本至关重要。在半导体的电子带隙附近的光谱区域增强光吸收是特别重要的,在那里材料的吸收是低的,并且接近吸收的最终极限,通常被认为是朗伯极限。波长尺度上的光捕获可以通过有序光子晶格(光子晶体、衍射光栅)、无序结构或两者的结合来实现。本文报道了具有随机粗糙表面的薄膜硅太阳能电池的理论研究,该表面由高斯无序描述,其特征是高度和横向相关长度的均方根偏差(RMS)。我们证明了该模型在角分布函数和雾度方面很好地描述了实际粗糙衬底的散射特性,并且我们证明了通过严格的耦合波分析对无序参数进行优化,并以太阳能电池的短路电流密度作为优点值,可以达到朗伯极限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Engineering disorder for light trapping in thin-film solar cells
Light trapping is crucial to increase efficiency in thin-film solar cells and to reduce the cost of advanced photovoltaic devices. It is especially important to enhance light absorption in the spectral region close to the electronic band gap of the semiconductor, where material absorption is low - and to approach the ultimate limit to absorption, which is usually taken to be the Lambertian limit. Light trapping at the wavelength-scale can be performed with ordered photonic lattices (photonic crystals, diffraction gratings), or with disordered structures, or with a combination of both. Here we report on a theoretical study of thin-film silicon solar cells with randomly rough surfaces described by a Gaussian disorder, which is characterized by the root mean square (RMS) deviation of the height and the lateral correlation length. We show that this model describes very well the scattering properties of actual rough substrates in terms of angular distribution function and haze, and we demonstrate that optimization of the disorder parameters by means of rigorous coupled-wave analysis, and with the short-circuit current density of the solar cell as a figure of merit, allows to reach the Lambertian Limit.
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