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Journal of Nanoparticle Research

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01-12-2017 | Research Paper

Symbiotic organism search algorithm for simulation of J-V characteristics and optimizing internal parameters of DSSC developed using electrospun TiO₂ nanofibers

Authors: S. Vinoth, G. Kanimozhi, Harish Kumar, E. S. Srinadhu, N. Satyanarayana

Published in: Journal of Nanoparticle Research | Issue 12/2017

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Abstract

In the present investigation, the recently developed, simple, robust, and powerful metaheuristic symbiotic organism search (SOS) algorithm was used for simulation of J-V characteristics and optimizing the internal parameters of the dye-sensitized solar cells (DSSCs) fabricated using electrospun 1-D mesoporous TiO₂ nanofibers as photoanode. The efficiency (η = 5.80%) of the DSSC made up of TiO₂ nanofibers as photoanode is found to be ∼ 21.59% higher compared to the efficiency (η = 4.77%) of the DSSC made up of TiO₂ nanoparticles as photoanode. The observed high efficiency can be attributed to high dye loading as well as high electron transport in the mesoporous 1-D TiO₂ nanofibers. Further, the validity and advantage of SOS algorithm are verified by simulating J-V characteristics of DSSC with Lambert-W function.

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Title: Symbiotic organism search algorithm for simulation of J-V characteristics and optimizing internal parameters of DSSC developed using electrospun TiO2 nanofibers
Authors: S. Vinoth
G. Kanimozhi
Harish Kumar
E. S. Srinadhu
N. Satyanarayana
Publication date: 01-12-2017
Publisher: Springer Netherlands
Published in: Journal of Nanoparticle Research / Issue 12/2017
Print ISSN: 1388-0764
Electronic ISSN: 1572-896X
DOI: https://doi.org/10.1007/s11051-017-4071-8

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