Modeling and Optimization of Enhanced High-Efficiency InGaP/GaAs Tandem Solar Cells Without Anti-Reflective Coating

Modern multi-junction solar cell technology offers a pathway to achieving consistent and high photovoltaic conversion efficiencies through enhanced solar spectrum absorption. Indeed, during the last years, the industries of solar cells have focused on optimizing device structures, utilizing both robust and delicate materials to maximize their performances. This paper presents the modeling and optimization of the electrical and structural properties of high-efficiency InGaP/GaAs double-junction solar cells, specifically without employing an anti-reflective coating. This developed structure has been achieved by introducing a buffer layer in the lower layer and incorporating an upper back surface field layer into the investigated cell structure. Furthermore, the optimization conducted in this paper using Silvaco-Atlas software (version 2018) under the AM1.5G spectrum reveals that the proposed InGaP/GaAs tandem cell configuration exhibits significant performance, reaching conversion efficiency of 41.585%. It can be said that this adapted structure yields a short-circuit current density of 21.65 mA/cm2, an open-circuit voltage of 2.319 V, and a filling factor of 84.001%. Whereas this newly optimized structure demonstrates its effectiveness in enhancing solar cell efficiency performance, presenting highly promising results with potential significance for the devices’ optical and electrical properties.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-03-24
DOI
https://doi.org/10.3390/app15073520
Citations
2
Primary Topic
solar cell performance optimization
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling and Optimization of Enhanced High-Efficiency InGaP/GaAs Tandem Solar Cells Without Anti-Reflective Coating

Abdellah Kouzou, Ahmed Hafaifa, Nadji Hadroug, Zouaoui Bensaad et al.
2 citations
Applied Sciences
solar cell performance optimization
1.46
article

Modeling and Optimization of Enhanced High-Efficiency InGaP/GaAs Tandem Solar Cells Without Anti-Reflective Coating

Abdellah Kouzou, Ahmed Hafaifa, Nadji Hadroug, Zouaoui Bensaad, José Rodríguez, Mohamed Abdelrahem, Ikram Zidani
article en
2 citations

Abstract

Modern multi-junction solar cell technology offers a pathway to achieving consistent and high photovoltaic conversion efficiencies through enhanced solar spectrum absorption. Indeed, during the last years, the industries of solar cells have focused on optimizing device structures, utilizing both robust and delicate materials to maximize their performances. This paper presents the modeling and optimization of the electrical and structural properties of high-efficiency InGaP/GaAs double-junction solar cells, specifically without employing an anti-reflective coating. This developed structure has been achieved by introducing a buffer layer in the lower layer and incorporating an upper back surface field layer into the investigated cell structure. Furthermore, the optimization conducted in this paper using Silvaco-Atlas software (version 2018) under the AM1.5G spectrum reveals that the proposed InGaP/GaAs tandem cell configuration exhibits significant performance, reaching conversion efficiency of 41.585%. It can be said that this adapted structure yields a short-circuit current density of 21.65 mA/cm2, an open-circuit voltage of 2.319 V, and a filling factor of 84.001%. Whereas this newly optimized structure demonstrates its effectiveness in enhancing solar cell efficiency performance, presenting highly promising results with potential significance for the devices’ optical and electrical properties.

Applied SciencesVol. 15(7)
San Sebastián University (CL), Ziane Achour University of Djelfa (DZ), Université Djilali de Sidi Bel Abbès (DZ), Technical University of Munich (DE), Assiut University (EG)
Openalex Percentile: Top 19%
solar cell performance optimization
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.