TiO2/ZnO nanocomposites with a metal-free dye and a polymer gel electrolyte: optimizing photovoltaic efficiency and assessing stability via time series analysis

Abstract

As part of the rapidly advancing field of energy technologies, solar energy-driven studies using nanomaterials have gained significant attention. In this context, designing dye-sensitized solar cells (DSSCs) with nanostructured titania (TiO2) and its composites is a key focus in material selection. This study investigated the synthesis and photovoltaic performance of TiO2 nanoparticles (NPs) and their composites with ZnO nanorods (NRs), synthesized via a one-step ex situ approach. The fabricated devices were evaluated using a metal-free SK3 dye (D–π–A carbazole) and a Co2+/Co3+-based polymer gel electrolyte. Structural properties were analyzed using Rietveld refinement, alongside other physicochemical characteristics. Notably, the TiO2/ZnO nanocomposite (TZ-3 NCs) with 30 wt% ZnO NRs in the photoanode demonstrated a significant improvement in solar energy-conversion efficiency (η) of 4.3%, which was 1.8 times higher than that of the TiO2/SK3 NC-based photoanode (2.38%). This enhancement was attributed to the reduced charge-transfer resistance, improved donor density, and increased surface area, facilitating efficient charge transport. Additionally, the study explored the stability of the TZ-3/SK3 NC-based photoanode using time series analysis, a statistical tool that can contribute to understanding its long-term performance.

Graphical abstract: TiO2/ZnO nanocomposites with a metal-free dye and a polymer gel electrolyte: optimizing photovoltaic efficiency and assessing stability via time series analysis

Supplementary files

Article information

Article type
Paper
Submitted
29 9 2024
Accepted
02 2 2025
First published
24 2 2025
This article is Open Access
Creative Commons BY-NC license

Energy Adv., 2025, Advance Article

TiO2/ZnO nanocomposites with a metal-free dye and a polymer gel electrolyte: optimizing photovoltaic efficiency and assessing stability via time series analysis

P. S. Pawar, P. A. Koyale, S. S. Patil, S. R. Patil, J. Bae, N. R. Chodankar, Y. G. Kapdi, S. S. Soni, P. S. Patil and S. D. Delekar, Energy Adv., 2025, Advance Article , DOI: 10.1039/D4YA00553H

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