Optimizing CuO p-type dye-sensitized solar cells by using a comprehensive electrochemical impedance spectroscopic
Oliver Langmar1, Carolina R Ganivet2, Gema de la Torre2
1Department of Chemistry and Pharmacy, Interdisciplinary Center for Molecular Materials, University of Erlangen-Nürnberg, Egerlandstr. 3, 91058 Erlangen, Germany. ruben.costa@fau.de dirk.guldi@fau.de.
Nanoscale
|October 13, 2016
Summary
We present a new method to analyze electrochemical impedance spectroscopy (EIS) for dye-sensitized solar cells (DSSCs). This approach optimizes copper oxide (CuO) based p-type DSSCs, showing CuO
Area of Science:
- Materials Science
- Electrochemistry
- Renewable Energy
Background:
- Dye-sensitized solar cells (DSSCs) are a promising renewable energy technology.
- Understanding charge transfer processes at interfaces is crucial for DSSC optimization.
- Electrochemical impedance spectroscopy (EIS) is a powerful tool for analyzing these processes.
Purpose of the Study:
- To develop a comprehensive approach for interpreting EIS measurements in p-type DSSCs.
- To correlate EIS parameters with device performance under systematic variations.
- To compare the suitability of CuO and NiO as counter electrodes in p-DSSCs.
Main Methods:
- Systematic modification of p-type DSSC fabrication parameters: calcination temperature, film thickness, and electrolyte concentration.
- Correlation of device performance metrics with EIS figures-of-merit.
- Analysis of non-sensitized CuO and NiO electrodes to assess electrolyte reactivity.
Main Results:
- The novel EIS approach successfully separates charge recombination from injection/regeneration processes.
- Copper oxide (CuO) demonstrates significantly lower reactivity with the electrolyte compared to nickel oxide (NiO).
- Optimization of CuO-based DSSCs architecture using EIS analysis leads to improved device performance.
Conclusions:
- CuO is a superior counter electrode material for p-DSSCs compared to NiO.
- EIS analysis provides critical insights for optimizing p-type DSSC performance.
- The developed EIS interpretation method facilitates comprehensive device optimization.
