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Modeling the path to >30% power conversion efficiency in perovskite solar cells with plasmonic nanoparticles

Mixed organic–inorganic halide perovskite solar cells (PSCs) are a promising technology with increasing power conversion efficiency (PCE), low-cost material constituents, simple scalability, and a low-temperature solution fabrication process. Recent developments have seen energy conversion efficienc...

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Detalles Bibliográficos
Autores principales: Mashrafi, Md., Anik, M. Hussayeen Khan, Israt, Mst. Farhana, Habib, Ahsan, Islam, Sharnali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294547/
https://www.ncbi.nlm.nih.gov/pubmed/37383688
http://dx.doi.org/10.1039/d3ra02589f
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author Mashrafi, Md.
Anik, M. Hussayeen Khan
Israt, Mst. Farhana
Habib, Ahsan
Islam, Sharnali
author_facet Mashrafi, Md.
Anik, M. Hussayeen Khan
Israt, Mst. Farhana
Habib, Ahsan
Islam, Sharnali
author_sort Mashrafi, Md.
collection PubMed
description Mixed organic–inorganic halide perovskite solar cells (PSCs) are a promising technology with increasing power conversion efficiency (PCE), low-cost material constituents, simple scalability, and a low-temperature solution fabrication process. Recent developments have seen energy conversion efficiencies increase from 3.8% to over 20%. However, to further improve PCE and reach the target efficiency of over 30%, light absorption through plasmonic nanostructures is a promising approach. In this work, we present a thorough quantitative analysis of the absorption spectrum of a methylammonium lead iodide (CH(3)NH(3)PbI(3)) perovskite solar cell using a nanoparticle (NP) array. Our multiphysics simulations using finite element methods (FEM) show that an array of Au nanospheres can increase average absorption >45%, compared to only 27.08% for the baseline structure without any NPs. Furthermore, we investigate the combined effect of engineered enhanced absorption on electrical and optical solar cell performance parameters using the one-dimensional solar cell capacitance software (SCAPS 1-D), which shows a PCE of ∼30.4%, significantly higher than the PCE of ∼21% for cells without NPs. Our findings demonstrate the potential of plasmonic perovskite research for next-generation optoelectronic technologies.
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spelling pubmed-102945472023-06-28 Modeling the path to >30% power conversion efficiency in perovskite solar cells with plasmonic nanoparticles Mashrafi, Md. Anik, M. Hussayeen Khan Israt, Mst. Farhana Habib, Ahsan Islam, Sharnali RSC Adv Chemistry Mixed organic–inorganic halide perovskite solar cells (PSCs) are a promising technology with increasing power conversion efficiency (PCE), low-cost material constituents, simple scalability, and a low-temperature solution fabrication process. Recent developments have seen energy conversion efficiencies increase from 3.8% to over 20%. However, to further improve PCE and reach the target efficiency of over 30%, light absorption through plasmonic nanostructures is a promising approach. In this work, we present a thorough quantitative analysis of the absorption spectrum of a methylammonium lead iodide (CH(3)NH(3)PbI(3)) perovskite solar cell using a nanoparticle (NP) array. Our multiphysics simulations using finite element methods (FEM) show that an array of Au nanospheres can increase average absorption >45%, compared to only 27.08% for the baseline structure without any NPs. Furthermore, we investigate the combined effect of engineered enhanced absorption on electrical and optical solar cell performance parameters using the one-dimensional solar cell capacitance software (SCAPS 1-D), which shows a PCE of ∼30.4%, significantly higher than the PCE of ∼21% for cells without NPs. Our findings demonstrate the potential of plasmonic perovskite research for next-generation optoelectronic technologies. The Royal Society of Chemistry 2023-06-27 /pmc/articles/PMC10294547/ /pubmed/37383688 http://dx.doi.org/10.1039/d3ra02589f Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Mashrafi, Md.
Anik, M. Hussayeen Khan
Israt, Mst. Farhana
Habib, Ahsan
Islam, Sharnali
Modeling the path to >30% power conversion efficiency in perovskite solar cells with plasmonic nanoparticles
title Modeling the path to >30% power conversion efficiency in perovskite solar cells with plasmonic nanoparticles
title_full Modeling the path to >30% power conversion efficiency in perovskite solar cells with plasmonic nanoparticles
title_fullStr Modeling the path to >30% power conversion efficiency in perovskite solar cells with plasmonic nanoparticles
title_full_unstemmed Modeling the path to >30% power conversion efficiency in perovskite solar cells with plasmonic nanoparticles
title_short Modeling the path to >30% power conversion efficiency in perovskite solar cells with plasmonic nanoparticles
title_sort modeling the path to >30% power conversion efficiency in perovskite solar cells with plasmonic nanoparticles
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294547/
https://www.ncbi.nlm.nih.gov/pubmed/37383688
http://dx.doi.org/10.1039/d3ra02589f
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