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优化算法辅助的纳米结构工程用于薄膜太阳能电池性能提升

Optimization Algorithm-Assisted Nanostructure Engineering for Performance Enhancement of Thin-Film Solar Cells

Abyaz Karim, Sajid Ahmed Chowdhury, A. F. M. Afnan Uzzaman Sheikh, Asif Al Suny, Mustafa Habib Chowdhury

arXiv 2609.06191首次发表:更新:

AI 中文总结

本研究利用FDTD模拟和三种优化算法优化薄膜太阳能电池中三角形核壳纳米结构参数,显著提升短路电流密度至28.90-35.39 mA/cm²,较无结构参考电池大幅提高。

AI 中文摘要

本文提出了一项基于计算的研究,利用时域有限差分(FDTD)方法进行光学模拟。这些模拟用于观察嵌入薄膜太阳能电池(TFSC)光吸收层内的三角形截面核壳纳米结构对光电性能改善的影响。尽管已有广泛研究,光捕获纳米结构的几何参数与TFSC性能之间的关系尚未完全阐明。为帮助找到最优参数集,采用优化算法寻找能提供最大短路电流密度($J_{SC}$)的参数集。应用了三种不同的算法,并通过敏感性分析深入审查了结果,观察最优参数微小变化的影响。纳米结构的最优参数产生的$J_{SC}$值范围为28.90至35.39 mA/cm$^2$,而参考无纳米结构的TFSC为13.69 mA/cm$^2$。从本研究结果可以推断,优化的周期性光栅结构可以为TFSC性能提供显著改善。

英文摘要

A computation-based study is presented that utilizes the finite-difference time-domain (FDTD) method to perform optical simulations. These simulations were used to observe the effects of core-shell nanostructures with triangular cross-sections embedded inside the light absorbing layer of thin-film solar cells (TFSCs), for improving the optoelectronic performance. Despite extensive research, the relationship between the geometric parameters of light trapping nanostructures and TFSC performance is not yet fully elucidated. To assist in finding the optimal set of parameters, optimization algorithms are used to find a set of parameters that provide maximal short-circuit current density ($J_{SC}$). Three separate algorithms were applied, and the results were scrutinized in-depth with a sensitivity analysis, observing the effects of small changes in the optimal parameters. The optimal parameters of the nanostructure produced $J_{SC}$ values ranging from 28.90 to 35.39 mA/cm$^2$ compared to 13.69 mA/cm$^2$ for a reference TFSC with no nanostructure present. From the results of this study, it can be inferred that optimized periodic grating structures can provide substantial improvement in performance of TFSCs.

CommentsTotal 31 Pages: 25-Page manuscript, 6-page supplement. 18 Figures

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