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单结光伏转换器网格架构的混合准三维优化

Hybrid quasi-3D optimization of grid architecture for single junction photovoltaic converters.

作者信息

Nikander Veikka, Wei Jianguo, Aho Arto, Polojarvi Ville, Tukiainen Antti, Guina Mircea

机构信息

Optoelectronics Research Centre (ORC), Physics Unit, Tampere University, Korkeakoulunkatu 3, 33720 Tampere, Finland.

Global Energy Interconnection Research Institute Europe GmbH, Kantstr. 162, 10623 Berlin, Germany.

出版信息

Opt Quantum Electron. 2021;53(4):205. doi: 10.1007/s11082-021-02850-x. Epub 2021 Apr 12.

DOI:10.1007/s11082-021-02850-x
PMID:34776589
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8550680/
Abstract

A numerical study of metal front contacts grid spacing for photovoltaic (PV) converter of relatively small area is presented. The model is constructed based on Solcore, an open-source Python-based library. A three-step-process is developed to create a hybrid quasi-3D model. The grid spacing under various operating conditions was assessed for two similar p-n and n-p structures. The key target was finding optimal configuration to achieve the highest conversion efficiency at different temperatures and illumination profiles. The results show that the n-p structure yields wider optimal spacing range and the highest output power. Also, it was found that temperature increase and illumination nonuniformity results in narrower optimal spacing for both structure architectures. Analyzing the current-voltage characteristics, reveals that resistive losses are the dominant loss mechanism bringing restriction in terms of ability to handle nonuniform illumination.

摘要

本文给出了对相对小面积光伏(PV)转换器金属正面接触栅格间距的数值研究。该模型基于Solcore构建,Solcore是一个基于Python的开源库。开发了一个三步流程来创建混合准三维模型。针对两种相似的p-n和n-p结构,评估了各种运行条件下的栅格间距。关键目标是找到最佳配置,以在不同温度和光照分布下实现最高转换效率。结果表明,n-p结构产生更宽的最佳间距范围和最高输出功率。此外,还发现温度升高和光照不均匀会导致两种结构架构的最佳间距变窄。对电流-电压特性的分析表明,电阻损耗是主要的损耗机制,在处理不均匀光照的能力方面带来限制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7555/8550680/b3df85a92cab/11082_2021_2850_Fig10_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7555/8550680/b3df85a92cab/11082_2021_2850_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7555/8550680/621fd563741c/11082_2021_2850_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7555/8550680/4cfbac08bcaa/11082_2021_2850_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7555/8550680/044ad1abd350/11082_2021_2850_Fig3_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7555/8550680/8679217d06a1/11082_2021_2850_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7555/8550680/d74fc4070f24/11082_2021_2850_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7555/8550680/bb4639f1ba25/11082_2021_2850_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7555/8550680/943c92ef4f83/11082_2021_2850_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7555/8550680/26fb3579b412/11082_2021_2850_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7555/8550680/b3df85a92cab/11082_2021_2850_Fig10_HTML.jpg

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