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Big data driven perovskite solar cell stability analysis

Author

Listed:
  • Zhuang Zhang

    (Nankai University)

  • Huanhuan Wang

    (Nankai University)

  • T. Jesper Jacobsson

    (Nankai University)

  • Jingshan Luo

    (Nankai University
    Haihe Laboratory of Sustainable Chemical Transformations)

Abstract

During the last decade lead halide perovskites have shown great potential for photovoltaic applications. However, the stability of perovskite solar cells still restricts commercialization, and lack of properly implemented unified stability testing and disseminating standards makes it difficult to compare historical stability data for evaluating promising routes towards better device stability. Here, we propose a single indicator to describe device stability that normalizes the stability results with respect to different environmental stress conditions which enables a direct comparison of different stability results. Based on this indicator and an open dataset of heterogeneous stability data of over 7000 devices, we have conducted a statistical analysis to assess the effect of different stability improvement strategies. This provides important insights for achieving more stable perovskite solar cells and we also provide suggestions for future directions in the perovskite solar cell field based on big data utilization.

Suggested Citation

  • Zhuang Zhang & Huanhuan Wang & T. Jesper Jacobsson & Jingshan Luo, 2022. "Big data driven perovskite solar cell stability analysis," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35400-4
    DOI: 10.1038/s41467-022-35400-4
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    References listed on IDEAS

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    Cited by:

    1. Paolo Mariani & Miguel Ángel Molina-García & Jessica Barichello & Marilena Isabella Zappia & Erica Magliano & Luigi Angelo Castriotta & Luca Gabatel & Sanjay Balkrishna Thorat & Antonio Esaú Rio Casti, 2024. "Low-temperature strain-free encapsulation for perovskite solar cells and modules passing multifaceted accelerated ageing tests," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Noor Titan Putri Hartono & Hans Köbler & Paolo Graniero & Mark Khenkin & Rutger Schlatmann & Carolin Ulbrich & Antonio Abate, 2023. "Stability follows efficiency based on the analysis of a large perovskite solar cells ageing dataset," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    3. Bhati, Naveen & Nazeeruddin, Mohammad Khaja & Maréchal, François, 2024. "Environmental impacts as the key objectives for perovskite solar cells optimization," Energy, Elsevier, vol. 299(C).

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