Investigating the influence of absorber layer thickness on the performance of perovskite solar cells: A combined simulation and impedance spectroscopy study

材料科学 太阳能电池 介电谱 光电子学 能量转换效率 钙钛矿太阳能电池 反褶积 钙钛矿(结构) 电阻抗 开路电压 等效电路 短路 图层(电子) 电压 电子工程 复合材料 计算机科学 化学工程 电气工程 电极 算法 化学 物理化学 工程类 电化学
作者
Abdelhadi Mortadi,El Mokhtar El Hafidi,Mohamed Monkade,R. El Moznine
出处
期刊:Materials Science for Energy Technologies [Elsevier BV]
卷期号:7: 158-165 被引量:61
标识
DOI:10.1016/j.mset.2023.10.001
摘要

Absorber thickness is one among keys parameters that can have significant effects on the performance of the solar cell. An appropriate absorber thickness should be chosen to optimize the performance of the cell.The main objective of this work is to offer a perovskite solar cell with high efficiency using a suitable thickness of the active layer. Therefore, this study focuses on the optimization of the solar cell thickness, which can also be achieved by using simulation with SCAPS-1D, to predict the performance of the cell at different thicknesses. In this case, the four main parameters; the short circuit current density, the open-circuit voltage, fill factor and power of conversion efficiency, were extracted and analyzed from I–V characteristics at different thicknesses. In addition, the complex impedance data were also generated by using simulation with SCAPS-1D. To the best of our knowledge, this approach was not used before for many works carried out by SCAPS-1D simulation; where these studies were limited to I-V characteristics. This novel approach to investigating the electrical response of this solar cell concerning thickness involves the integration of complex impedance and modulus functions. This integration enables us to discern the respective contributions of ionic diffusion and recombination processes, through our deconvolution procedure, the results obtained indicate the absorber layer thickness increases, the diffusion and recombination processes are affected differently, subsequently influencing the overall performance of the solar cell. Both methodologies employed in this study consistently identified the maximum efficiency at an optimal thickness of 700 nm.
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