Stability follows efficiency based on the analysis of a large perovskite solar cells ageing dataset
Noor Titan Putri Hartono (),
Hans Köbler,
Paolo Graniero,
Mark Khenkin,
Rutger Schlatmann,
Carolin Ulbrich and
Antonio Abate ()
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Noor Titan Putri Hartono: Helmholtz-Zentrum Berlin für Materialien und Energie
Hans Köbler: Helmholtz-Zentrum Berlin für Materialien und Energie
Paolo Graniero: Helmholtz-Zentrum Berlin für Materialien und Energie
Mark Khenkin: Helmholtz-Zentrum Berlin für Materialien und Energie
Rutger Schlatmann: Helmholtz-Zentrum Berlin für Materialien und Energie
Carolin Ulbrich: Helmholtz-Zentrum Berlin für Materialien und Energie
Antonio Abate: Helmholtz-Zentrum Berlin für Materialien und Energie
Nature Communications, 2023, vol. 14, issue 1, 1-7
Abstract:
Abstract While perovskite solar cells have reached competitive efficiency values during the last decade, stability issues remain a critical challenge to be addressed for pushing this technology towards commercialisation. In this study, we analyse a large homogeneous dataset of Maximum Power Point Tracking (MPPT) operational ageing data that we collected with a custom-built High-throughput Ageing System in the past 3 years. In total, 2,245 MPPT ageing curves are analysed which were obtained under controlled conditions (continuous illumination, controlled temperature and atmosphere) from devices comprising various lead-halide perovskite absorbers, charge selective layers, contact layers, and architectures. In a high-level statistical analysis, we find a correlation between the maximum reached power conversion efficiency (PCE) and the relative PCE loss observed after 150-hours of ageing, with more efficient cells statistically also showing higher stability. Additionally, using the unsupervised machine learning method self-organising map, we cluster this dataset based on the degradation curve shapes. We find a correlation between the frequency of particular shapes of degradation curves and the maximum reached PCE.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40585-3
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DOI: 10.1038/s41467-023-40585-3
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