Xiaoya Liu, Zhengxin Chen, Hairong Wang, Zhengrong Zhu, Sirui Zhao, Lingchen Kong, Haitao Man, Kai Huang, Jiang Wu, Yang Ling
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An optimization of Cs2TiBr6 perovskite solar cell using SCAPS-1D simulation based on genetic algorithm
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 (VOC) was 1.08 V, fill factor (FF) was 88.81%, short circuit current (JSC) 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 JSC 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.
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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