PV multiscale modelling of perovskite / silicon two-terminal devices

From accurate cell performance simulation to energy yield prediction

Journal Article (2025)
Author(s)

Paul Procel Moya (TU Delft - Photovoltaic Materials and Devices)

Y. Zhou (PV Works)

M. Verkou (PV Works)

Marco Leonardi (3SUN SRL)

Youri Blom (TU Delft - Photovoltaic Materials and Devices)

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

R. Santbergen (TU Delft - Photovoltaic Materials and Devices)

Miroslav Zeman (PV Works, TU Delft - Photovoltaic Materials and Devices)

O Isabella (PV Works, TU Delft - Photovoltaic Materials and Devices)

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Research Group
Photovoltaic Materials and Devices
DOI related publication
https://doi.org/10.1016/j.solmat.2025.113864
More Info
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Publication Year
2025
Language
English
Research Group
Photovoltaic Materials and Devices
Volume number
293
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Abstract

Recent conversion efficiency breakthroughs in double-junction (tandem) perovskite/crystalline silicon solar cells demand advanced opto-thermo-electrical simulations, that are critical for translating laboratory results into realistic photovoltaic module and system performance. A holistic framework is here developed and presented, combining cell-level simulations, spectral analysis, PV module and PV system modelling. After validating the deployed physics models against measured cells and modules, hourly spectral irradiances for Delft, the Netherlands, and Catania, Italy, are generated and clustered into representative “blue-rich” and “red-rich” spectra. The effects of spectral variations on the current-matching and energy yield of tandem modules are quantified. Realistic module architectures are simulated, integrating dynamic temperature and spectrum data. Temperature coefficients are derived as a function of both irradiance and module temperature, significantly improving upon traditional indoor-derived values. Results show that standard indoor-derived coefficients under-/overestimate values in realistic conditions, highlighting the ultimate need for location-specific power matrixes. This study offers a robust pathway to predict tandem module energy yields across seasons and climates, supporting optimized design choices for industrial production and future PV installations.