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


Citation

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

Abstract

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%.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
DOI Number: https://doi.org/10.1016/j.renene.2018.12.031
Publisher: Elsevier BV
Keywords: Inverted organic solar cell; Local spectral irradiance; J-V characteristic curve; Power conversion efficiency; Standard AM 1.5 G spectrum; P3HT:PC₆₁BM
Depositing User: Ms. Nida Hidayati Ghazali
Date Deposited: 29 Jan 2021 23:55
Last Modified: 29 Jan 2021 23:55
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.renene.2018.12.031
URI: http://psasir.upm.edu.my/id/eprint/81498
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