Combining physical- and scenario-based modeling to identify tolerable degradation rates of perovskite in monolithic two-terminal perovskite/silicon tandem modules

Journal Article (2026)
Author(s)

Youri Blom (TU Delft - Photovoltaic Materials and Devices)

Rudi Santbergen (TU Delft - Photovoltaic Materials and Devices)

Olindo Isabella (TU Delft - Photovoltaic Materials and Devices)

Malte Ruben Vogt (TU Delft - Photovoltaic Materials and Devices)

Research Group
Photovoltaic Materials and Devices
DOI related publication
https://doi.org/10.1016/j.solmat.2026.114169
More Info
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Publication Year
2026
Language
English
Research Group
Photovoltaic Materials and Devices
Volume number
299
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Abstract

As crystalline silicon (c-Si) solar cells approach their theoretical efficiency limit, the perovskite/silicon (PerSi) tandem technology offers a promising solution for further improving the efficiency of photovoltaic (PV) modules. However, as perovskite cells are facing stability issues, it is unclear whether PerSi modules will have a larger lifetime energy yield (LEY) than c-Si modules. In this work, we present a novel methodology to simulate the LEY of PerSi tandem devices, accounting for environmental stress factor-dependent degradation across four different climates. Our approach combines a physics-based analytical degradation model for components shared with c-Si modules and a scenario-based degradation model for the perovskite top cell. This method enables us to identify the tolerable degradation rate (ktol) of the perovskite cell under different scenarios and climatic conditions. We find that ktol is lowest when degradation occurs in the short-circuit current, reaching a minimum value of 1.2% per year in Delft (the Netherlands). Additionally, we demonstrate that ktol inversely depends on the module lifetime, reaching values up 7.6% per year in Lagos (Nigeria). Moreover, we show that module efficiency (ηmod) significantly impacts ktol. For instance, increasing ηmod from 28.0% to 32.9% raises ktol by approximately 50%. Additionally, we propose a simplified model that can predict ktol without the computationally intensive simulations, which has a root-mean-square error of 0.34% per year. Lastly, environmental impact assessments reveal that PerSi modules are more sustainable in all impact categories when the degradation rate is 80% of ktol for LEY.