Numerical analysis with experimental verification to predict outdoor power conversion efficiency of inverted organic solar devices

Inverted organic solar cell (IOSC) devices with different volume ratios of In₂S₃ nanoparticles have been studied under local spectral irradiances in Malaysia with respect to that of AM1.5G. The J-V curves of encapsulated IOSC devices were measured outdoor using an Ivium Potentiostat and local spectr...

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Main Authors: Hong, Kai Jeat, Tan, Sin Tee, Chong, Kok-Keong, Yap, Chi Chin, Jumali, Mohammad Hafizuddin, Loo, Yueh-Lin
Format: Article
Language:English
Published: Elsevier BV 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81498/1/Numerical%20analysis%20with%20experimental%20verification%20to%20predict%20outdoor%20power%20conversion%20efficiency%20of%20inverted%20organic%20solar%20devices.pdf
http://psasir.upm.edu.my/id/eprint/81498/
https://www.sciencedirect.com/science/article/abs/pii/S0960148118314629
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spelling my.upm.eprints.814982021-01-29T23:55:11Z http://psasir.upm.edu.my/id/eprint/81498/ Numerical analysis with experimental verification to predict outdoor power conversion efficiency of inverted organic solar devices Hong, Kai Jeat Tan, Sin Tee Chong, Kok-Keong Yap, Chi Chin Jumali, Mohammad Hafizuddin Loo, Yueh-Lin Inverted organic solar cell (IOSC) devices with different volume ratios of In₂S₃ nanoparticles have been studied under local spectral irradiances in Malaysia with respect to that of AM1.5G. The J-V curves of encapsulated IOSC devices were measured outdoor using an Ivium Potentiostat and local spectral irradiances were acquired using an AVANTES spectrometer concurrently. All of the IOSC devices experienced significant improvement in power conversion efficiency (PCE) under the both local sunny and cloudy conditions with respect to the AM 1.5G, by 22–35% and 31–65%, respectively. From spectral analysis, the area under the graph of spectral irradiance in UV–visible region is significantly higher compared to infrared region for both local sunny and cloudy conditions, by 44.6% and 55.9%, respectively, while it is only recorded as 12.9% for AM 1.5G. Last but not the least, we have successfully verified the numerical analysis to predict device performance by comparing the simulated and measured PCE values for different irradiance intensities whereby the prediction of PCE is better under sunny condition with a deviation of 3.4–10.8% compared to cloudy conditions, with deviation of 28.9–30.5%. Elsevier BV 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81498/1/Numerical%20analysis%20with%20experimental%20verification%20to%20predict%20outdoor%20power%20conversion%20efficiency%20of%20inverted%20organic%20solar%20devices.pdf Hong, Kai Jeat and Tan, Sin Tee and Chong, Kok-Keong and Yap, Chi Chin and Jumali, Mohammad Hafizuddin and Loo, Yueh-Lin (2019) Numerical analysis with experimental verification to predict outdoor power conversion efficiency of inverted organic solar devices. Renewable Energy, 135. pp. 589-596. ISSN 0960-1481 https://www.sciencedirect.com/science/article/abs/pii/S0960148118314629 10.1016/j.renene.2018.12.031
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Inverted organic solar cell (IOSC) devices with different volume ratios of In₂S₃ nanoparticles have been studied under local spectral irradiances in Malaysia with respect to that of AM1.5G. The J-V curves of encapsulated IOSC devices were measured outdoor using an Ivium Potentiostat and local spectral irradiances were acquired using an AVANTES spectrometer concurrently. All of the IOSC devices experienced significant improvement in power conversion efficiency (PCE) under the both local sunny and cloudy conditions with respect to the AM 1.5G, by 22–35% and 31–65%, respectively. From spectral analysis, the area under the graph of spectral irradiance in UV–visible region is significantly higher compared to infrared region for both local sunny and cloudy conditions, by 44.6% and 55.9%, respectively, while it is only recorded as 12.9% for AM 1.5G. Last but not the least, we have successfully verified the numerical analysis to predict device performance by comparing the simulated and measured PCE values for different irradiance intensities whereby the prediction of PCE is better under sunny condition with a deviation of 3.4–10.8% compared to cloudy conditions, with deviation of 28.9–30.5%.
format Article
author Hong, Kai Jeat
Tan, Sin Tee
Chong, Kok-Keong
Yap, Chi Chin
Jumali, Mohammad Hafizuddin
Loo, Yueh-Lin
spellingShingle Hong, Kai Jeat
Tan, Sin Tee
Chong, Kok-Keong
Yap, Chi Chin
Jumali, Mohammad Hafizuddin
Loo, Yueh-Lin
Numerical analysis with experimental verification to predict outdoor power conversion efficiency of inverted organic solar devices
author_facet Hong, Kai Jeat
Tan, Sin Tee
Chong, Kok-Keong
Yap, Chi Chin
Jumali, Mohammad Hafizuddin
Loo, Yueh-Lin
author_sort Hong, Kai Jeat
title Numerical analysis with experimental verification to predict outdoor power conversion efficiency of inverted organic solar devices
title_short Numerical analysis with experimental verification to predict outdoor power conversion efficiency of inverted organic solar devices
title_full Numerical analysis with experimental verification to predict outdoor power conversion efficiency of inverted organic solar devices
title_fullStr Numerical analysis with experimental verification to predict outdoor power conversion efficiency of inverted organic solar devices
title_full_unstemmed Numerical analysis with experimental verification to predict outdoor power conversion efficiency of inverted organic solar devices
title_sort numerical analysis with experimental verification to predict outdoor power conversion efficiency of inverted organic solar devices
publisher Elsevier BV
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/81498/1/Numerical%20analysis%20with%20experimental%20verification%20to%20predict%20outdoor%20power%20conversion%20efficiency%20of%20inverted%20organic%20solar%20devices.pdf
http://psasir.upm.edu.my/id/eprint/81498/
https://www.sciencedirect.com/science/article/abs/pii/S0960148118314629
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score 13.211869