Device Simulation-Based Multiobjective Evolutionary Algorithm for Process Optimization of Semiconductor Solar Cells
學年 101
學期 2
出版（發表）日期 2013-03-01
作品名稱 Device Simulation-Based Multiobjective Evolutionary Algorithm for Process Optimization of Semiconductor Solar Cells
作品名稱（其他語言）
著者 Li, Yiming; Chen, Yu-Yu; Chen, Chieh-Yang; Shen, Cheng-Han; Cheng, Hui-Wen; Lo, I-Hsiu; Chen, Chun-Nan
單位 淡江大學物理學系
出版者 Philadelphia: Taylor & Francis Inc.
著錄名稱、卷期、頁數 Materials and Manufacturing Processes 28(7), pp.761-767
摘要 This article implements for the first time a numerical semiconductor device simulation-based multiobjective evolutionary algorithm (MOEA) for the characteristic optimization of amorphous silicon thin-film solar cells, based upon a unified optimization framework (UOF). To calculate the device's characteristic, a set of coupled solar cell transport equations consisting of the Poisson equation, the electron-hole current continuity equations, and the photo-generation model is solved numerically. Electrical characteristics, the short-circuited current, the open-circuited voltage, and the conversion efficiency are calculated to analyze the properties of the explored solar cells. The aforementioned device simulation results are used to evaluate the fitness score and access the evolutionary quality of designing parameters via the implemented non-dominating sorting genetic algorithm (NSGA-II) in the UOF. Notably, designing parameters including the material and structural parameters, and the doping concentrations are simultaneously optimized for the explored solar cells. The simulation-based MOEA methodology is useful in optimal structure design and manufacturing of semiconductor solar cells.
關鍵字 Amorphous silicon; Design optimization; Material and structural parameters; MOEA; Multiobjective; Simulation-based evolutionary method; Thin film solar
語言 en_US
ISSN 1042-6914 1532-2475
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Li, Yiming
審稿制度
國別 USA
公開徵稿
出版型式 紙本 電子版
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