Optimization of nanoantenna for solar energy harvesting based on particle swarm technique

机译：基于粒子群技术的纳米天线用于太阳能采集的优化

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This paper presents a new trend in the design of nanoantenna for solar energy harvesting. By creating a link between a particle swarm optimization (PSO) algorithm and an external finite element frequency domain (FEFD) solver, the algorithm refines all the design metrics to optimize harvesting efficiency. Simulation results show the effectiveness of applying PSO to nanoantenna design which offers a total solar energy harvesting efficiency of 98.7%. This is significantly higher than up to date solar cells.

机译：本文提出了一种用于太阳能收集的纳米天线设计的新趋势。通过在粒子群优化（PSO）算法和外部有限元频域（FEFD）求解器之间创建链接，该算法可优化所有设计指标以优化收割效率。仿真结果表明，将PSO应用于纳米天线设计的有效性，该技术可提供98.7％的总太阳能收集效率。这明显高于最新的太阳能电池。

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来源
《2016 IEEE/ACES International Conference on Wireless Information Technology and Systems and Applied Computational Electromagnetics》|2016年|1-2|共2页
会议地点 Honolulu HI(US)
作者
Youssef M. El-Toukhy; A. M. Heikal; Mohmaed Farhat O. Hameed; M. M. Abd-Elrazzak; S. S. A. Obayya;
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作者单位

Centre for Photonics and Smart Materials, Zewail City of Science and Technology, Sheikh Zayed District, 6th of October City, Giza, Egypt;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Finite element method; Nanoantenna; Optimization Techniques; Particle Swarm;

机译：有限元法;纳米天线;优化技术;粒子群算法;

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2. Particle swarm optimization technique for multilevel inverters in solar harvesting micro grid system [J] . Viswanathan M. P., Anand B. Microprocessors and microsystems . 2020,第Nova期

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4. Optimization of nanoantenna for solar energy harvesting based on particle swarm technique [C] . Youssef M. El-Toukhy, A. M. Heikal, Mohmaed Farhat O. Hameed, IEEE/ACES International Conference on Wireless Information Technology and Systems . 2016

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Optimization of nanoantenna for solar energy harvesting based on particle swarm technique

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