Hybrid polymer electrolyte composite with SiO sub(2) nanofiber filler for solid-state dye-sensitized solar cells
SiO sub(2) nanofibers were prepared by electrospinning method and incorporated as filler into a hybrid polymer matrix of poly(ethylene oxide) (PEO) and poly(vinylidene fluoride)-hexafluoropropylene (PVDF-HFP). The effectiveness of the SiO sub(2) nanofiber-filled matrix as a polymer electrolyte for s...
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Veröffentlicht in: | Composites science and technology 2014-01, Vol.103, p.100-105 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | SiO sub(2) nanofibers were prepared by electrospinning method and incorporated as filler into a hybrid polymer matrix of poly(ethylene oxide) (PEO) and poly(vinylidene fluoride)-hexafluoropropylene (PVDF-HFP). The effectiveness of the SiO sub(2) nanofiber-filled matrix as a polymer electrolyte for solid-state dye-sensitized solar cells (DSCs) was evaluated. The SiO sub(2) nanofiber filler was found to increase the ionic conductivity, thereby improving the charge transport of the I super(-)/I super(-) sub(3) redox couple in the electrolyte. As a result, the efficiency of the DSCs was increased by up to 24% as compared with a pristine polymer electrolyte. The ionic conductivity was found to be greatest in the polymer electrolyte containing 0.01 g of SiO sub(2) nanofiber filler, 9.90 x 10 super(-4) s cm super(-1), which represents a substantial increase over the 3.81 x 10 super(-4) s cm super(-1) of a pristine polymer electrolyte. Furthermore, the addition of 0.01 g of SiO sub(2) nanofiber filler also produced the highest electron transport time of 1.47 ms, an electron recombination time of 29.41 ms, and a charge collection efficiency of 94.99%. The SiO sub(2) nanofiber filler also greatly enhanced the interfacial stability between the polymer electrolyte and the semiconductor electrodes, with the hybrid polymer electrolyte containing 0.01 g of SiO sub(2) nanofiber filler exhibiting both the lowest cell impedance (20.96 [Omega]) and the highest solar conversion efficiency (4.85%) in this study. |
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ISSN: | 0266-3538 |
DOI: | 10.1016/j.compscitech.2014.08.020 |