Optimal design of solar cells grid electrodes based on quadratic curves

• Proposing width-varying quadratic curves for grid electrodes of solar cells. • Photovoltaic conversion efficiency improvements of 4.71%, 5.33% and 5.87% are achieved by optimizing for the three solar cell sizes respectively. • The grid lines volume reduces of 46.55%, 49.42% and 51.51% are achieved by optimizing for the three solar cell sizes respectively. • The absolute efficiency gain exhibits more pronounced for larger-format solar cells. The geometric configuration of grid electrodes critically determines both the photovoltaic (PV) conversion efficiency and grid volume for solar cells. This paper presents an optimization methodology employing width-varying quadratic curves to parameterize grid electrode profiles, coupled with a comprehensive power loss model. A genetic algorithm (GA) is implemented to minimize total power loss, systematically optimizing grid designs for solar cells with 156 × 156 mm², 182 × 182 mm², and 210 × 210 mm². Compared to conventional equal-width 2-busbar configurations, the optimized quadratic-curve grid electrodes demonstrate significant improvements: conversion efficiency enhancements of 1.45%, 1.63%, and 1.77% with simultaneous grid volume reductions of 11.44%, 11.39%, and 11.23%, respectively. For 12-busbar architectures, more pronounced benefits were achieved, with efficiency gains reaching 4.71%, 5.33%, 5.87% and remarkable volume reductions of 46.55%, 49.42%, 51.51% across all cell sizes. These findings offer a possible route for improving both performance and reducing grid volume.

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Publication Details

Journal
Results in Engineering
Published
2025-07-16
DOI
https://doi.org/10.1016/j.rineng.2025.106322
Citations
3
Primary Topic
Silicon and Solar Cell Technologies
Type
article
Field-Weighted Citation Impact
2.19

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article

Optimal design of solar cells grid electrodes based on quadratic curves

Yongjiang Liu, Kai Li, Peizheng Li, Bo Zhou et al.
3 citations
Results in Engineering
Silicon and Solar Cell Technologies
2.19
article

Optimal design of solar cells grid electrodes based on quadratic curves

Yongjiang Liu, Kai Li, Peizheng Li, Bo Zhou, Xiangquan Li
article en
3 citations

Abstract

• Proposing width-varying quadratic curves for grid electrodes of solar cells. • Photovoltaic conversion efficiency improvements of 4.71%, 5.33% and 5.87% are achieved by optimizing for the three solar cell sizes respectively. • The grid lines volume reduces of 46.55%, 49.42% and 51.51% are achieved by optimizing for the three solar cell sizes respectively. • The absolute efficiency gain exhibits more pronounced for larger-format solar cells. The geometric configuration of grid electrodes critically determines both the photovoltaic (PV) conversion efficiency and grid volume for solar cells. This paper presents an optimization methodology employing width-varying quadratic curves to parameterize grid electrode profiles, coupled with a comprehensive power loss model. A genetic algorithm (GA) is implemented to minimize total power loss, systematically optimizing grid designs for solar cells with 156 × 156 mm², 182 × 182 mm², and 210 × 210 mm². Compared to conventional equal-width 2-busbar configurations, the optimized quadratic-curve grid electrodes demonstrate significant improvements: conversion efficiency enhancements of 1.45%, 1.63%, and 1.77% with simultaneous grid volume reductions of 11.44%, 11.39%, and 11.23%, respectively. For 12-busbar architectures, more pronounced benefits were achieved, with efficiency gains reaching 4.71%, 5.33%, 5.87% and remarkable volume reductions of 46.55%, 49.42%, 51.51% across all cell sizes. These findings offer a possible route for improving both performance and reducing grid volume.

Results in EngineeringVol. 27
Guangdong University of Technology (CN), South China University of Technology (CN), Xinjiang University (CN)
Natural Science Foundation of Xinjiang Province, Guangdong Key Laboratory of Precision Equipment and Manufacturing Technology
Affordable and clean energy
Openalex Percentile: Top 11%
Silicon and Solar Cell Technologies
2.19
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