Solcore simulation of a GaInP/InGaAs/Ge solar cell

Ana-Maria Petcu, Andrei Drăgulinescu
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Abstract

Recently, multi-junction (MJ) solar cells have been researched extensively, due to their potential of achieving improved performance and a higher efficiency as compared to single-junction cells. Various architectures were proposed, and different simulation programs were employed in their analysis. In this paper, we characterized and simulated a high-efficiency GaInP/InGaAs/Ge solar cell, using the software Solcore, a Python-based library. We obtained the I-V characteristics of the cell, at illumination and dark conditions, respectively, and at different temperatures, the carrier density characteristics, and the external quantum efficiency as a function of the wavelength. We estimated the electrical parameters (open-circuit voltage, short-circuit intensity, fill factor and power conversion efficiency) as a function of the temperature (from 0 to 90°C) and of the base layer thickness, comparatively, for several single-junction cells, two alternatives of two-junction cells and the three-junction solar cell. As compared to previous research attempts in the field, we used a different software approach, we evaluated different parameter variations and obtained improved results for the efficiency of the cell. The proposed solar cell can be further improved by the optimization of the junction thickness and modification of doping levels in the layers.
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GaInP/InGaAs/Ge 太阳能电池的索核模拟
与单结电池相比,多结(MJ)太阳能电池具有更佳的性能和更高的效率,因此最近得到了广泛的研究。人们提出了各种架构,并采用不同的模拟程序对其进行分析。在本文中,我们使用基于 Python 的软件库 Solcore 对高效 GaInP/InGaAs/Ge 太阳能电池进行了表征和仿真。我们分别获得了该电池在光照和黑暗条件下以及不同温度下的 I-V 特性、载流子密度特性以及外部量子效率与波长的函数关系。我们比较估算了几种单结电池、两种双结电池和三结太阳能电池的电气参数(开路电压、短路强度、填充因子和功率转换效率)与温度(0 至 90°C)和基底层厚度的函数关系。与该领域之前的研究尝试相比,我们使用了不同的软件方法,评估了不同的参数变化,并获得了更高的电池效率结果。通过优化结厚度和改变层中的掺杂水平,可以进一步改进所提出的太阳能电池。
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