The effect of slow ion dynamics on energy yield of perovskite solar cells.

Santhosh Ramesh^a^,^b^,^c^,^d, Aranzazu Aguirre^a^,^b^,^d, Tom Aernouts^a^,^b^,^d, Bart Vermang^a^,^b^,^d, Jef Poortmans^a^,^b^,^c^,^d

^aIMOMEC, imec, Wetenschapspark 1, 3590 Diepenbeek, Belgium

^bEnergyVille, Thor Park 8320, 3600 Genk, Belgium

^cKU Leuven, Dept. of Electrical Engineering (ESAT), Leuven, Belgium

^dHasselt University, Martelarenlaan 42, 3500 Hasselt, Belgium

International Conference on Hybrid and Organic Photovoltaics
Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV23)

London, United Kingdom, 2023 June 12th - 14th

Organizers: Tracey Clarke, James Durrant and Trystan Watson

Poster, Santhosh Ramesh, 063
Publication date: 30th March 2023

The perovskite photovoltaic (PV) technology is heavily researched. Although cell efficiency records are being broken rapidly, the technology still suffers from meta-stable effects like light-soaking effects, hysteresis, reversible degradation, etc. The cell efficiencies are reported at standard test conditions of 25 °C and 1000 W/m². However, the performance of perovskite technology will vary significantly with operating conditions and time. Unlike crystalline silicon solar (c-Si) cells, whose IV characteristics can be defined by equations of the de Soto model¹, the energy performance of perovskite solar cells cannot be defined unless we account for the meta-stable effects.

Multiple researchers have linked the anomalous device behavior to the ionic movement within the perovskite layer^2–4. The model being developed at IMEC/Energyville considers this effect of ion dynamics in IV characteristics of perovskite solar cells and its sensitivity to external conditions like temperature, illumination, operating time, and biasing conditions. The performance of perovskite solar cells tends to degrade under operation and recovers within darkness. Our model uses the activation energy of the degradation process to simulate this degradation of IV characteristics. We also consider the effect of performance recovery in dark⁵ to calculate the energy yield of perovskite devices.

With the developed model, we will analyze the effect of these meta-stable effects on the energy yield of perovskite solar cells. These assessments will give an insight into the significance of these effects.

Note: The proposed presentation is part of a larger work done on perovskite device physics and modeling. The table of contents gives a picture of the entire work. The contents to be covered in this presentation are highlighted in red.

References:

[1] Soto, W. de, Klein, S. A. & Beckman, W. A. Improvement and validation of a model for photovoltaic array performance. 80, 78–88 (2006).

[2] Ono, L. K., Raga, S. R., Wang, S., Kato, Y. & Qi, Y. Temperature-dependent hysteresis effects in perovskite-based solar cells. J Mater Chem A Mater 3, 9074–9080 (2015).

[3] Tress, W. et al. Understanding the rate-dependent J-V hysteresis, slow time component, and aging in CH3NH3PbI3 perovskite solar cells: The role of a compensated electric field. Energy Environ Sci 8, 995–1004 (2015).

[4] Liu, J. et al. Correlations between Electrochemical Ion Migration and Anomalous Device Behaviors in Perovskite Solar Cells. ACS Energy Lett 6, 1003–1014 (2021).

[5] Domanski, K. et al. Migration of cations induces reversible performance losses over day/night cycling in perovskite solar cells. Energy Environ Sci 10, 604–613 (2017).

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