Large-Area Nanosphere Gratings for Light Trapping and Reduced Surface Losses in Thin Solar Cells

Light trapping in thin silicon solar cells demands radically different fabrication approaches to standard commercial cells. Weaker optical absorption and increased sensitivity to surface recombination requires light trapping to be achieved over a broader spectral range and, ideally, without texturing the absorber itself. Nano-scale light trapping structures allow the strongest scattering to be tuned to wavelengths, where oblique scattering into the absorber is needed most. Furthermore, applying these structures “externally,” i.e., on a well-passivated planar silicon surface, reduces the surface area and permits optimal electronic conditions to be maintained. Despite these advantages, the challenges of balancing efficiency gain, cost, and lithographic fidelity have prevented the commercial use of nano-scale light trapping schemes. Here, we demonstrate the use of nanosphere lithography for producing high-quality and cost-effective nano-scale light trapping structures suitable for incorporation in thin solar cells. We have successfully fabricated large-area and uniform metal nanospheregrating structures, with embedded dielectric nanospheres, on 30 μm thick c-Si pseudo cells and measured their effectiveness for light trapping. Comparison between simulations and the fabricated pseudo cells’ characteristics highlighted key challenges in fabricating uniform structures, including the impact of air gaps within non-conformal coatings and minor changes in the geometry. Optical characterization via absorption spectroscopy and both spectral and spatially resolved photoluminescence showed a clear enhancement in the short-circuit current density of up to 4.33 mA/cm2 in comparison with a planar 30 μm thick device and a 3.7 times absorptance enhancement close to the bandgap of Si.

[1]  P. Mandal,et al.  Progress in plasmonic solar cell efficiency improvement: A status review , 2016 .

[2]  K. Catchpole,et al.  Effect of Nanoparticle Size Distribution on the Performance of Plasmonic Thin-Film Solar Cells: Monodisperse Versus Multidisperse Arrays , 2013, IEEE Journal of Photovoltaics.

[3]  S. R. Wenham,et al.  An advanced software suite for the processing and analysis of silicon luminescence images , 2017, Comput. Phys. Commun..

[4]  H. Djidjelli,et al.  Effects of recycling on mechanical and thermal properties of polystyrene , 1998 .

[5]  Martin A. Green,et al.  Plasmonic rear reflectors for thin-film solar cells: design principles from electromagnetic modelling , 2014, Optics & Photonics - Solar Energy + Applications.

[6]  Claire E. R. Disney,et al.  Self-assembled nanostructured rear reflector designs for thin-film solar cells , 2015 .

[7]  Yan Zhu,et al.  Insights into Bulk Defects in n-type Monocrystalline Silicon Wafers via Temperature-Dependent Micro-Photoluminescence Spectroscopy , 2018, 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC).

[8]  Frank Schmidt,et al.  Adaptive finite element method for simulation of optical nano structures , 2007, 0711.2149.

[9]  Rudi Cloots,et al.  Nanosphere lithography: a powerful method for the controlled manufacturing of nanomaterials , 2013 .

[10]  K. Catchpole,et al.  Light trapping efficiency comparison of Si solar cell textures using spectral photoluminescence. , 2015, Optics express.

[11]  Tom Adams,et al.  Ultra-thin semiconductor wafer applications and processes , 2006 .

[12]  K. McIntosh,et al.  Understanding the optics of industrial black silicon , 2018 .

[13]  W. Warta,et al.  Solar cell efficiency tables (Version 45) , 2015 .

[14]  F. Sohrabi,et al.  Fabrication methods of plasmonic and magnetoplasmonic crystals: a review , 2017 .

[15]  Claire E. R. Disney,et al.  Enhanced Broadband Light Trapping in c-Si Solar Cells Using Nanosphere-Embedded Metallic Grating Structure , 2016, IEEE Journal of Photovoltaics.

[16]  M. Gonçalves Plasmonic nanoparticles: fabrication, simulation and experiments , 2014 .

[17]  Chang Nanosphere Lithography for Fast and Controlled Fabrication of Large Area Plasmonic Nanostructures in Thin Film Photovoltaics , 2016 .

[18]  Benedikt Bläsi,et al.  Optical simulation of photovoltaic modules with multiple textured interfaces using the matrix-based formalism OPTOS. , 2016, Optics express.

[19]  K. Brenner Aspects for calculating local absorption with the rigorous coupled-wave method. , 2010, Optics express.

[20]  Claire E. R. Disney,et al.  The Impact of parasitic loss on solar cells with plasmonic nano-textured rear reflectors , 2017, Scientific Reports.

[21]  F. Rouabah,et al.  Thermophysical and Mechanical Properties of Polystyrene: Influence of Free Quenching , 2012 .

[22]  Arvind Shah,et al.  Thin-Film Silicon Solar Cells , 2010 .

[23]  Michael E. Pollard,et al.  Nanosphere lithography for improved absorption in thin crystalline silicon solar cells , 2015, SPIE Micro + Nano Materials, Devices, and Applications.

[24]  Benedikt Bläsi,et al.  Optical performance of the honeycomb texture – a cell and module level analysis using the OPTOS formalism , 2017 .

[25]  Jean-François Guillemoles,et al.  Characterization of solar cells using electroluminescence and photoluminescence hyperspectral images , 2012, OPTO.

[26]  O. Breitenstein,et al.  Short-Circuit Current Density Imaging Via PL Image Evaluation Based on Implied Voltage Distribution , 2015, IEEE Journal of Photovoltaics.

[27]  Budi Tjahjono,et al.  Photoluminescence imaging for determining the spatially resolved implied open circuit voltage of silicon solar cells , 2014 .

[28]  Yu Jin Jang,et al.  Plasmonic Solar Cells: From Rational Design to Mechanism Overview. , 2016, Chemical reviews.

[29]  M. Green,et al.  Solar cell efficiency tables (version 51) , 2018 .