基于有限元-遗传算法的前电极和太阳能电池尺寸优化

IF 1.5 4区 工程技术 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY
Kai Li, Zhuobo Yang, Xianmin Zhang
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引用次数: 2

摘要

摘要前电极的形状和太阳能电池的尺寸对太阳能电池的性能有重要的影响。为了提高太阳能电池的转换效率,提出了一种结合有限元-遗传算法(GA)的前电极和太阳能电池尺寸设计方法。在该方法中,太阳能电池被认为是由许多小的单元电池组成,这些单元电池可以很好地描述太阳能电池的电流密度和电压分布。在遗传算法中,每个个体代表一个具有特定尺寸并在特定电压下工作的太阳能电池。以侧接触和栅格电池的前电极和电池尺寸设计问题为例,验证了该方法的有效性。利用现有的两种优化方法对两种太阳能电池的前电极和电池尺寸进行了优化。针对不同尺寸的太阳能电池,现有的两种优化方法得到了不同的优化结果。该方法可获得独特的优化结果,且优化结果优于现有的两种优化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Size optimization of the front electrode and solar cell using a combined finite-element-genetic algorithm method
Abstract. The pattern of the front electrode and the solar cell size has a significant influence on the performance of solar cells. In order to improve the conversion efficiency of solar cells, we present a combined finite-element-genetic algorithm (GA) method for designing the front electrode and solar cell size. In the proposed method, a solar cell is considered to consist of many small unit cells, and these unit cells can well describe the current density and voltage distribution of the solar cell. In the GA, each individual represents a solar cell with a particular size and operates at a particular voltage. The validity of the proposed method is tested on the front electrode and solar cell size design problem of the side-contact and gridded cells. Two existing optimization methods are also used to optimize the front electrode and solar cell size of the two kinds of solar cells. Based on solar cells of different sizes, different optimization results are obtained using either of the two existing optimization methods. The unique optimization result can be obtained using the proposed method, and the optimization result is better than that obtained using the two existing optimization methods.
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来源期刊
Journal of Photonics for Energy
Journal of Photonics for Energy MATERIALS SCIENCE, MULTIDISCIPLINARY-OPTICS
CiteScore
3.20
自引率
5.90%
发文量
28
审稿时长
>12 weeks
期刊介绍: The Journal of Photonics for Energy publishes peer-reviewed papers covering fundamental and applied research areas focused on the applications of photonics for renewable energy harvesting, conversion, storage, distribution, monitoring, consumption, and efficient usage.
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