Time‐Efficient, Accurate, and Experimentally Grounded Optical Modeling of Multiscale‐Textured Thin‐Film Solar Cells
Accurate prediction of optical performance in solar cells with multiscale-textured interfaces is essential for optimizing light management in next-generation photovoltaics. For the first time, a systematic validation of two complementary modeling approaches is carried out on experimentally fabricated thin-film silicon (TF Si) solar cells: rigorous coupled-wave analysis (RCWA), offering a full electromagnetic solution but constrained by boundary conditions, and a ray optics model, operating in the refractive regime. The study involves two device architectures: an a-Si:H single-junction cell on commercial Asahi VU-type glass with random nanotextures, and an nc-Si:H single-junction cell on novel micro-periodic honeycomb-textured glass developed in-house. Simulated and measured external quantum efficiency (EQE) and total front reflection losses (1-R) are benchmarked using the root mean squared error (RMSE). The ray model shows deviations of only 2%-6%, comparable to RCWA, while reducing computation time from 1 week to less than 30 min. Applied to an a-Si:H/nc-Si:H tandem device on honeycomb-textured glass, ray optics reproduced the optical response with spectral deviations below 6% and photocurrent mismatch under 0.2 mA/cm<sup>2</sup>. These findings uniquely establish ray optics, when combined with accurate optical constants and realistic interface morphologies, as a reliable and computationally efficient predictive tool broadly transferable to thin-film technologies, including perovskites.
Authors
- Paul Prócel (ORCID: https://orcid.org/0000-0003-4997-3551)
- Arno H. M. Smets (ORCID: https://orcid.org/0000-0002-6661-0771)
- Govind Padmakumar (ORCID: https://orcid.org/0000-0001-7890-9511)
- Paula Perez Rodriguez
- Federica Saitta
- Rudi Santbergen (ORCID: https://orcid.org/0000-0001-9273-4244)
Institutions
- Delft University of Technology (NL)
Publication Details
- Journal
- Global Challenges
- Published
- 2025-12-17
- DOI
- https://doi.org/10.1002/gch2.202500448
- Primary Topic
- Thin-Film Transistor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00