An optimization of Cs2TiBr6 perovskite solar cell using SCAPS-1D simulation based on genetic algorithm

IF 1.6 4区工程技术 Q3 ENGINEERING, CHEMICAL Canadian Journal of Chemical Engineering Pub Date : 2024-05-24 DOI:10.1002/cjce.25315

Xiaoya Liu, Zhengxin Chen, Hairong Wang, Zhengrong Zhu, Sirui Zhao, Lingchen Kong, Haitao Man, Kai Huang, Jiang Wu, Yang Ling

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Abstract

A genetic algorithm (GA) was used in this simulation work and a well-studied double perovskite structure was chosen to verify the feasibility of the algorithm. To pursue excellent efficiency and stability of the perovskite solar cell, the experimental and simulation data were summarized to determine the adjustable range of parameters for the simulated cell structure. The GA can help us to determine the best combination among a wide range of potential possibilities. The optimal solution was obtained by substituting the best combination data into SCAPS-1D and the open circuit voltage (V_OC) was 1.08 V, fill factor (FF) was 88.81%, short circuit current (J_SC) was 37.06 mA/cm², and the power conversion efficiency (PCE) was 35.54%. Compared to the initial simulation results, the efficiency was improved by 10 percentage points and the J_SC increased by 12 mA/cm². From these conclusions, it was clear that the GA provides a faster and more accurate way to find the optimal solution for perovskite solar cells.

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基于遗传算法的 SCAPS-1D 仿真优化 Cs2TiBr6 包晶太阳能电池

该模拟工作采用了遗传算法（GA），并选择了一种经过充分研究的双包晶石结构来验证算法的可行性。为了追求包晶体太阳能电池的卓越效率和稳定性，我们总结了实验和模拟数据，以确定模拟电池结构的可调整参数范围。GA 可以帮助我们在众多潜在可能性中确定最佳组合。将最佳组合数据代入 SCAPS-1D 后得到了最优解，开路电压（VOC）为 1.08 V，填充因子（FF）为 88.81%，短路电流（JSC）为 37.06 mA/cm2，功率转换效率（PCE）为 35.54%。与最初的模拟结果相比，效率提高了 10 个百分点，短路电流增加了 12 mA/cm2。从这些结论中可以看出，GA 为寻找包晶体太阳能电池的最佳解决方案提供了一种更快、更准确的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Canadian Journal of Chemical Engineering 工程技术-工程：化工

CiteScore

3.60

自引率

14.30%

发文量

448

审稿时长

3.2 months

期刊介绍： The Canadian Journal of Chemical Engineering (CJChE) publishes original research articles, new theoretical interpretation or experimental findings and critical reviews in the science or industrial practice of chemical and biochemical processes. Preference is given to papers having a clearly indicated scope and applicability in any of the following areas: Fluid mechanics, heat and mass transfer, multiphase flows, separations processes, thermodynamics, process systems engineering, reactors and reaction kinetics, catalysis, interfacial phenomena, electrochemical phenomena, bioengineering, minerals processing and natural products and environmental and energy engineering. Papers that merely describe or present a conventional or routine analysis of existing processes will not be considered.

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