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阿塔卡马沙漠太阳光谱下N-PERT太阳能电池的优化

Optimization of N-PERT Solar Cell under Atacama Desert Solar Spectrum.

作者信息

Ferrada Pablo, Marzo Aitor, Ferrández Miriam Ruiz, Reina Emilio Ruiz, Ivorra Benjamin, Correa-Puerta Jonathan, Campo Valeria Del

机构信息

Centro de Desarrollo Energético Antofagasta, Universidad de Antofagasta, Av. Angamos 601, Antofagasta 1270300, Chile.

Freelance Solar Energy Researcher, 04007 Almería, Spain.

出版信息

Nanomaterials (Basel). 2022 Oct 11;12(20):3554. doi: 10.3390/nano12203554.

Abstract

In the Atacama Desert, the spectral distribution of solar radiation differs from the global standard, showing very high levels of irradiation with a particularly high ultraviolet content. Additionally, the response of photovoltaic (PV) technologies is spectrally dependent, so it is necessary to consider local conditions and type of technology to optimize PV devices since solar cells are usually designed for maximum performance under standard testing conditions (STC). In this work, we determined geometrical and doping parameters to optimize the power of an n-type bifacial passivated emitter and rear totally diffused solar cell (n-PERT). Six parameters (the thicknesses of cell, emitter, and back surface field, as well as doping concentration of emitter, base, and back surface field) were used to optimize the cell under the Atacama Desert spectrum (AM 1.08) and under standard conditions (AM 1.5) through a genetic algorithm. To validate the model, the calculated performance of the n-PERT cell was compared with experimental measurements. Computed and experimental efficiencies showed a relative difference below 1% under STC conditions. Through the optimization process, we found that different geometry and doping concentrations are necessary for cells to be used in the Atacama Desert. Reducing the thickness of all layers and increasing doping can lead to a relative increment of 5.4% in the cell efficiency under AM 1.08. Finally, we show the potential effect of metallization and the viability of reducing the thicknesses of the emitter and the back surface field.

摘要

在阿塔卡马沙漠,太阳辐射的光谱分布不同于全球标准,显示出非常高的辐照水平,特别是紫外线含量很高。此外,光伏(PV)技术的响应在光谱上是相关的,因此有必要考虑当地条件和技术类型来优化光伏器件,因为太阳能电池通常是为在标准测试条件(STC)下实现最大性能而设计的。在这项工作中,我们确定了几何和掺杂参数,以优化n型双面钝化发射极和背面全扩散太阳能电池(n-PERT)的功率。通过遗传算法,使用六个参数(电池、发射极和背面场的厚度,以及发射极、基极和背面场的掺杂浓度)在阿塔卡马沙漠光谱(AM 1.08)和标准条件(AM 1.5)下对电池进行优化。为了验证模型,将计算得到的n-PERT电池性能与实验测量结果进行了比较。在STC条件下,计算效率和实验效率的相对差异低于1%。通过优化过程,我们发现用于阿塔卡马沙漠的电池需要不同的几何形状和掺杂浓度。在AM 1.08条件下,减小所有层的厚度并增加掺杂可使电池效率相对提高5.4%。最后,我们展示了金属化的潜在影响以及减小发射极和背面场厚度的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6f1/9607075/707bfc66366c/nanomaterials-12-03554-g001.jpg

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