Optimization of Plasmon-Enhanced Thin-Film Heterojunction Solar Cells

被引：2
|
作者：
Aiello, Giovanni [1 ]
Alfonzetti, Salvatore [1 ]
Rizzo, Santi Agatino [1 ]
Salerno, Nunzio [1 ]
机构：
[1] Univ Catania, Dipartimento Ingn Elettr Elettron & Informat, I-95124 Catania, Italy
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2015年 / 51卷 / 03期
关键词：
Computational electromagnetics; electromagnetic scattering; evolutionary algorithms; finite-element method (FEM); genetic algorithms (GAs); nanoparticles; photovoltaic; ALGORITHM;
D O I：
10.1109/TMAG.2014.2361272
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we optimize the size and position of silver hemispherical nanoparticles arranged in a regular array embedded in a thin-film heterojunction solar cell. The metallic nanoparticles are added in order to improve solar cell efficiency by exploiting the phenomenon of plasmon resonance. A finite-element code has been employed to compute the light scattered from the device and the optimization was performed at first by means of a genetic algorithm and then by means of the parallel self-adaptive low-high evaluation evolutionary algorithm.
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页数：4
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