Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm

Solar cells convert sunlight into electricity, and the efficiency of this conversion process largely depends on the material parameters. Optimizing these parameters, like thickness and carrier concentration, could significantly increase the efficiency of solar cells. This paper emphasizes the metahe...

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Main Authors: Salehuddin, Fauziyah, Ahmad Jalaludin, Nabilah, Kaharudin, Khairil Ezwan, Arith, Faiz, Mohd Zain, Anis Suhaila, Md Junos@Yunus, Siti Aisah, R Apte, Prakash
Format: Article
Language:English
Published: Penerbit Akademia Baru 2024
Online Access:http://eprints.utem.edu.my/id/eprint/28384/2/00199231220241252431439.pdf
http://eprints.utem.edu.my/id/eprint/28384/
https://akademiabaru.com/submit/index.php/ard/article/view/5593
https://doi.org/10.37934/ard.122.1.219233
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Institution: Universiti Teknikal Malaysia Melaka
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spelling my.utem.eprints.283842025-02-05T16:01:11Z http://eprints.utem.edu.my/id/eprint/28384/ Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm Salehuddin, Fauziyah Ahmad Jalaludin, Nabilah Kaharudin, Khairil Ezwan Arith, Faiz Mohd Zain, Anis Suhaila Md Junos@Yunus, Siti Aisah R Apte, Prakash Solar cells convert sunlight into electricity, and the efficiency of this conversion process largely depends on the material parameters. Optimizing these parameters, like thickness and carrier concentration, could significantly increase the efficiency of solar cells. This paper emphasizes the metaheuristic optimization approach in searching for the optimum input parameters of perovskite solar cell (PSC). The proposed approach is realized using Solar Cell Capacitance Simulator (SCAPS-1D) software incorporated with a hybrid L32 Taguchi DoE-based Genetic Algorithm. Based on Multiple Linear Regression (MLR) analysis, the thickness of mix halide perovskite (CH3NH3PbI3-XClX) was discovered to be the most crucial input parameter affecting the Power Conversion Efficiency (PCE) variations. Based on the result of the Genetic algorithm, the optimal values of the input parameters: Fluorine doped tin oxide (FTO) thickness, FTO donor density, Titanium Dioxide (TiO2) layer thickness, TiO2 donor density, CH3NH3PbI3-XClX layer thickness, CH3NH3PbI3-XClX donor density, graphene oxide (GO) layer thickness, and GO acceptor density are predicted to be 0.187 μm, 9.965x1021 cm-3, 0.033 μm, 9.629x1021 cm-3, 0.926 μm, 9.983x1021 cm-3, 0.039 μm and 9.671x1021 cm-3 respectively. Using the predicted optimum input parameters, the simulation generates the best value of open voltage (Voc), current density (Jsc), fill factor (FF), and PCE measured at 1.647 V, 25.68 mA/cm2, 92.03%, and 38.93%, respectively. Penerbit Akademia Baru 2024-11 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/28384/2/00199231220241252431439.pdf Salehuddin, Fauziyah and Ahmad Jalaludin, Nabilah and Kaharudin, Khairil Ezwan and Arith, Faiz and Mohd Zain, Anis Suhaila and Md Junos@Yunus, Siti Aisah and R Apte, Prakash (2024) Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm. Journal of Advanced Research Design, 122 (1). pp. 219-233. ISSN 2289-7984 https://akademiabaru.com/submit/index.php/ard/article/view/5593 https://doi.org/10.37934/ard.122.1.219233
institution Universiti Teknikal Malaysia Melaka
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country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Solar cells convert sunlight into electricity, and the efficiency of this conversion process largely depends on the material parameters. Optimizing these parameters, like thickness and carrier concentration, could significantly increase the efficiency of solar cells. This paper emphasizes the metaheuristic optimization approach in searching for the optimum input parameters of perovskite solar cell (PSC). The proposed approach is realized using Solar Cell Capacitance Simulator (SCAPS-1D) software incorporated with a hybrid L32 Taguchi DoE-based Genetic Algorithm. Based on Multiple Linear Regression (MLR) analysis, the thickness of mix halide perovskite (CH3NH3PbI3-XClX) was discovered to be the most crucial input parameter affecting the Power Conversion Efficiency (PCE) variations. Based on the result of the Genetic algorithm, the optimal values of the input parameters: Fluorine doped tin oxide (FTO) thickness, FTO donor density, Titanium Dioxide (TiO2) layer thickness, TiO2 donor density, CH3NH3PbI3-XClX layer thickness, CH3NH3PbI3-XClX donor density, graphene oxide (GO) layer thickness, and GO acceptor density are predicted to be 0.187 μm, 9.965x1021 cm-3, 0.033 μm, 9.629x1021 cm-3, 0.926 μm, 9.983x1021 cm-3, 0.039 μm and 9.671x1021 cm-3 respectively. Using the predicted optimum input parameters, the simulation generates the best value of open voltage (Voc), current density (Jsc), fill factor (FF), and PCE measured at 1.647 V, 25.68 mA/cm2, 92.03%, and 38.93%, respectively.
format Article
author Salehuddin, Fauziyah
Ahmad Jalaludin, Nabilah
Kaharudin, Khairil Ezwan
Arith, Faiz
Mohd Zain, Anis Suhaila
Md Junos@Yunus, Siti Aisah
R Apte, Prakash
spellingShingle Salehuddin, Fauziyah
Ahmad Jalaludin, Nabilah
Kaharudin, Khairil Ezwan
Arith, Faiz
Mohd Zain, Anis Suhaila
Md Junos@Yunus, Siti Aisah
R Apte, Prakash
Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm
author_facet Salehuddin, Fauziyah
Ahmad Jalaludin, Nabilah
Kaharudin, Khairil Ezwan
Arith, Faiz
Mohd Zain, Anis Suhaila
Md Junos@Yunus, Siti Aisah
R Apte, Prakash
author_sort Salehuddin, Fauziyah
title Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm
title_short Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm
title_full Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm
title_fullStr Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm
title_full_unstemmed Metaheuristic optimization of perovskite solar cell using hybrid L₃₂ Taguchi DoE-based genetic algorithm
title_sort metaheuristic optimization of perovskite solar cell using hybrid l₃₂ taguchi doe-based genetic algorithm
publisher Penerbit Akademia Baru
publishDate 2024
url http://eprints.utem.edu.my/id/eprint/28384/2/00199231220241252431439.pdf
http://eprints.utem.edu.my/id/eprint/28384/
https://akademiabaru.com/submit/index.php/ard/article/view/5593
https://doi.org/10.37934/ard.122.1.219233
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