Synergy study on charge transport dynamics in hybrid organic solar cell: Photocurrent mapping and performance analysis under local spectrum

Charge transport dynamics in ZnO based inverted organic solar cell (IOSC) has been characterized with transient photocurrent spectroscopy and localised photocurrent mapping-atomic force microscopy. The value of maximum exciton generation rate was found to vary from 2.6 × 1027 m−3s−1 (Jsat = 79.7 A m...

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Published inCurrent applied physics Vol. 18; no. 12; pp. 1564 - 1570
Main Authors Hong, Kai Jeat, Tan, Sin Tee, Chong, Kok-Keong, Lee, Hock Beng, Ginting, Riski Titian, Lim, Fang Sheng, Yap, Chi Chin, Tan, Chun Hui, Chang, Wei Sea, Jumali, Mohammad Hafizuddin Hj
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.12.2018
한국물리학회
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Summary:Charge transport dynamics in ZnO based inverted organic solar cell (IOSC) has been characterized with transient photocurrent spectroscopy and localised photocurrent mapping-atomic force microscopy. The value of maximum exciton generation rate was found to vary from 2.6 × 1027 m−3s−1 (Jsat = 79.7 A m−2) to 2.9 × 1027 m−3s−1 (Jsat = 90.8 A m−2) for devices with power conversion efficiency ranging from 2.03 to 2.51%. These results suggest that nanorods served as an excellent electron transporting layer that provides efficient charge transport and enhances IOSC device performance. The photovoltaic performance of OSCs with various growth times of ZnO nanorods have been analysed for a comparison between AM1.5G spectrum and local solar spectrum. The simulated PCE of all devices operating under local spectrum exhibited extensive improvement with the gain of 13.3–13.7% in which the ZnO nanorods grown at 15 min possess the highest PCE under local solar with the value of 2.82%. [Display omitted] •Surface modification of ZnO nanoparticle to nanorod via low temperature approach.•ZnO nanorod shows a high localised current in CF-AFM analysis.•Mechanistic study on the exciton generation and dissociation process in the interface.•A novel numerical method to predict the outdoor performance of solar devices.
ISSN:1567-1739
1878-1675
DOI:10.1016/j.cap.2018.10.004