Literature DB >> 24104492

Designing optimized nano textures for thin-film silicon solar cells.

Klaus Jäger, Marinus Fischer, René A C M M van Swaaij, Miro Zeman.   

Abstract

Thin-film silicon solar cells (TFSSC), which can be manufactured from abundant materials solely, contain nano-textured interfaces that scatter the incident light. We present an approximate very fast algorithm that allows optimizing the surface morphology of two-dimensional nano-textured interfaces. Optimized nano-textures scatter the light incident on the solar cell stronger leading to a higher short-circuit current density and thus efficiency. Our algorithm combines a recently developed scattering model based on the scalar scattering theory, the Perlin-noise algorithm to generate the nano textures and the simulated annealing algorithm as optimization tool. The results presented in this letter allow to push the efficiency of TFSSC towards their theoretical limit.

Entities:  

Year:  2013        PMID: 24104492     DOI: 10.1364/OE.21.00A656

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  2 in total

1.  Analyzing periodic and random textured silicon thin film solar cells by Rigorous Coupled Wave Analysis.

Authors:  Rahul Dewan; Vladislav Jovanov; Saeed Hamraz; Dietmar Knipp
Journal:  Sci Rep       Date:  2014-08-12       Impact factor: 4.379

2.  Rapid Optimization of External Quantum Efficiency of Thin Film Solar Cells Using Surrogate Modeling of Absorptivity.

Authors:  Mine Kaya; Shima Hajimirza
Journal:  Sci Rep       Date:  2018-05-25       Impact factor: 4.379

  2 in total

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