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Published on: January 29, 2017
Optimization-based design of surface textures for thin-film Si solar cells
Xing Sheng1, Steven G Johnson, Jurgen Michel
1Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. shengx@mit.edu
Optics Express
|July 13, 2011
Summary
Researchers optimized surface textures for thin-film silicon solar cells, significantly boosting light absorption. The novel 2D texture design enhances absorption by 2.7 πn, outperforming Lambertian models for specific wavelength ranges.
Area of Science:
- Materials Science
- Optics
- Renewable Energy
Background:
- Thin-film silicon solar cells are crucial for renewable energy.
- Surface texturing is a key strategy to enhance light absorption in solar cells.
- Existing Lambertian models have limitations in describing advanced texture effects.
Purpose of the Study:
- To numerically investigate light absorption in thin-film silicon using various surface textures.
- To design and optimize irregular periodic surface textures for enhanced absorption.
- To compare the performance of optimized textures against Lambertian models.
Main Methods:
- Numerical simulations of light absorption for normal-incident light.
- Consideration of diverse texture designs: periodic gratings, random textures, and optimized irregular periodic textures.
- Analysis of anisotropic scattering effects in deep, high-index-contrast textures.
Main Results:
- Optimized 2D surface textures enhance absorption by a factor of 2.7 πn for wavelengths between 900-1100 nm.
- This enhancement significantly exceeds the predictions of standard and generalized Lambertian models for periodic structures.
- Strong anisotropic scattering from deep, high-index-contrast textures deviates from Lambertian model validity.
Conclusions:
- The developed optimized surface texture significantly improves light absorption in thin-film silicon.
- The design represents an optimization of the angle/enhancement tradeoff for periodic textures.
- Advanced textures require models beyond the standard Lambertian approach for accurate prediction of absorption enhancement.
