A first-principles investigation of the structural and electrochemical properties of biredox ionic species in acetonitrile
Abstract
Interpreting the impedance response of perovskite solar cells (PSCs) is significantly more challenging than for most other photovoltaics. This is for a variety of reasons, of which the most significant are the mixed ionic-electronic conduction properties of metal halide perovskites and the difficulty in fabricating stable, and reproducible, devices.
Experimental studies, conducted on a variety of PSCs, produce a variety of impedance spectra shapes. However, they all possess common features, the most noteworthy of which is that they have at least two features, at high and low frequency, with different characteristic responses to temperature, illumination and electrical bias.
The impedance response has commonly been analyzed in terms of sophisticated equivalent circuits that can be hard to relate to the underlying physics and which complicates the extraction of efficiency-determining parameters.
In this paper we show that, by a combination of experiment and drift-diffusion (DD) modelling of the ion and charge carrier transport and recombination within the cell, the main features of common impedance spectra are well reproduced by the DD simulation.
Based on this comparison, we show that the high frequency response contains all the key information relating to the steady-state performance of a PSC, i.e. it is a signature of the recombination mechanisms and provides a measure of charge collection efficiency.
Moreover, steady-state performance is significantly affected by the distribution of mobile ionic charge within the perovskite layer. Comparison between the electrical properties of different devices should therefore be made using high frequency impedance measurements performed in the steady-state voltage regime in which the cell is expected to operate.
Authors:
Kyle G. Reeves, Alessandra Serva, Guillaume Jeanmairet,
Mathieu Salanne
Physical Chemistry Chemical Physics 22 (19) 2020. https://doi.org/10.1039/C9CP06658F
EoCoE is a European Horizon 2020 funded project of Centre of Excellence in computing applications. It is designed to enhance numerical simulation efficiency in the international context of the High Performance Computing (HPC) challenges. It focusses its application scope towards low carbon energy domains.
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Our Role in Solar Advancement
To measure solar energy's profound impact, we must contemplate the “carbon footprint” — a metric that quantifies the total greenhouse gas emissions caused by an individual, organization, event, or product. Traditional electricity production contributes heavily to a nation's footprint, with fossil fuels being the predominant energy source. By harnessing solar energy, we offset these emissions and aid in the progressive decline of our collective carbon footprint.
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