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Optimal modeling of perovskite solar cell with graphene oxide as hole transport layer using L32 (28) Taguchi design

Material parameter variations are one of the main contributors affecting the performance of solar cell devices, thus, Taguchi design is employed to optimize the material parameters in attaining maximum power conversion efficiency (PCE). This paper discusses the optimal modeling of the Perovskite sol...

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Main Authors: Kaharudin K.E., Jalaludin N.A., Salehuddin F., Arith F., Zain A.S.M., Ahmad I., Junos S.A.M., Maheran A.H.A.
Other Authors: 56472706900
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Published: Universiti Malaysia Perlis 2025
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spelling my.uniten.dspace-371742025-03-03T15:48:16Z Optimal modeling of perovskite solar cell with graphene oxide as hole transport layer using L32 (28) Taguchi design Kaharudin K.E. Jalaludin N.A. Salehuddin F. Arith F. Zain A.S.M. Ahmad I. Junos S.A.M. Maheran A.H.A. 56472706900 58861184200 36239165300 55799799900 55925762500 12792216600 36241712600 59158622500 Material parameter variations are one of the main contributors affecting the performance of solar cell devices, thus, Taguchi design is employed to optimize the material parameters in attaining maximum power conversion efficiency (PCE). This paper discusses the optimal modeling of the Perovskite solar cell (PSC) with graphene oxide (GO) hole transport layer (HTL) using L32 (28) Taguchi design. The device simulation is conducted using a solar cell capacitance simulator (SCAP), whereas the L32 (28) Taguchi design is used for device optimization. The final results reveal that the L32 (28) Taguchi design has significantly optimized the device parameters in which FTO thickness, FTO donor concentration, TiO2 thickness, TiO2 donor concentration, CH3NH3PbI3-xClx thickness, CH3NH3PbI3-xClx donor concentration, GO thickness and GO acceptor concentration are predictively set to 0.1 �m, 1 x 1020 cm-3, 0.03 �m, 1 x 1020 cm-3, 0.9 �m, 1 x 1020 cm-3, 0.03 �m and 1 x 1020 cm-3 correspondingly. Analysis of variance (ANOVA) reveals that the CH3NH3PbI3-XClX thickness is the most dominant input parameter affecting the PCE of the device. The optimized input parameters yield the maximum attainable PCE of 35.91% with a signal-to-noise ratio (SNR) of 31.11 dB. ? 2024, Universiti Malaysia Perlis. All rights reserved. Final 2025-03-03T07:48:16Z 2025-03-03T07:48:16Z 2024 Article 2-s2.0-85184435438 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184435438&partnerID=40&md5=eaf3d34b646cddbd1b4c177283477b02 https://irepository.uniten.edu.my/handle/123456789/37174 17 1 20 27 Universiti Malaysia Perlis Scopus
institution Universiti Tenaga Nasional
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country Malaysia
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description Material parameter variations are one of the main contributors affecting the performance of solar cell devices, thus, Taguchi design is employed to optimize the material parameters in attaining maximum power conversion efficiency (PCE). This paper discusses the optimal modeling of the Perovskite solar cell (PSC) with graphene oxide (GO) hole transport layer (HTL) using L32 (28) Taguchi design. The device simulation is conducted using a solar cell capacitance simulator (SCAP), whereas the L32 (28) Taguchi design is used for device optimization. The final results reveal that the L32 (28) Taguchi design has significantly optimized the device parameters in which FTO thickness, FTO donor concentration, TiO2 thickness, TiO2 donor concentration, CH3NH3PbI3-xClx thickness, CH3NH3PbI3-xClx donor concentration, GO thickness and GO acceptor concentration are predictively set to 0.1 �m, 1 x 1020 cm-3, 0.03 �m, 1 x 1020 cm-3, 0.9 �m, 1 x 1020 cm-3, 0.03 �m and 1 x 1020 cm-3 correspondingly. Analysis of variance (ANOVA) reveals that the CH3NH3PbI3-XClX thickness is the most dominant input parameter affecting the PCE of the device. The optimized input parameters yield the maximum attainable PCE of 35.91% with a signal-to-noise ratio (SNR) of 31.11 dB. ? 2024, Universiti Malaysia Perlis. All rights reserved.
author2 56472706900
author_facet 56472706900
Kaharudin K.E.
Jalaludin N.A.
Salehuddin F.
Arith F.
Zain A.S.M.
Ahmad I.
Junos S.A.M.
Maheran A.H.A.
format Article
author Kaharudin K.E.
Jalaludin N.A.
Salehuddin F.
Arith F.
Zain A.S.M.
Ahmad I.
Junos S.A.M.
Maheran A.H.A.
spellingShingle Kaharudin K.E.
Jalaludin N.A.
Salehuddin F.
Arith F.
Zain A.S.M.
Ahmad I.
Junos S.A.M.
Maheran A.H.A.
Optimal modeling of perovskite solar cell with graphene oxide as hole transport layer using L32 (28) Taguchi design
author_sort Kaharudin K.E.
title Optimal modeling of perovskite solar cell with graphene oxide as hole transport layer using L32 (28) Taguchi design
title_short Optimal modeling of perovskite solar cell with graphene oxide as hole transport layer using L32 (28) Taguchi design
title_full Optimal modeling of perovskite solar cell with graphene oxide as hole transport layer using L32 (28) Taguchi design
title_fullStr Optimal modeling of perovskite solar cell with graphene oxide as hole transport layer using L32 (28) Taguchi design
title_full_unstemmed Optimal modeling of perovskite solar cell with graphene oxide as hole transport layer using L32 (28) Taguchi design
title_sort optimal modeling of perovskite solar cell with graphene oxide as hole transport layer using l32 (28) taguchi design
publisher Universiti Malaysia Perlis
publishDate 2025
_version_ 1825816085752971264
score 13.244109

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