High symmetry nano-photonic quasi-crystals providing novel light management in silicon solar cells
High symmetry nano-photonic quasi-crystals providing novel light management in silicon solar cells
Reduction of surface reflection loss is crucial for high efficiency next generation Si solar cells. Surface texturing provides a viable method to reduce loss over the full solar bandwidth. Previous studies have concentrated on simple moth-eye silicon pillar arrays protruding from the surface. Using FDTD simulation methods, we undertake a systematic investigation into performance benefits provided by complex semi-random photonic quasi-crystal surface patterning methodologies whereby arrays of air holes are etched deep into the solar cell surface. In contrast to other studies we carefully investigate the effect of lattice symmetry, systematically comparing performance of simple 6-fold symmetric triangular photonic crystal patterning to 12 fold symmetry photonic quasicrystal patterning and infinitely symmetric 2D Fibonacci patterning. We optimize key geometric parameters such as lattice pitch, hole size and etch depth to maximize optical performance for each lattice type. 12 fold photonic quasi crystal lattice is found to provide best overall anti-reflectance performance providing a solar-corrected average reflectance of 8.3% for a hole depth of 1.5 µm and 300 nm diameter, in comparison to 36.4% for a bare silicon solar cell surface. Practical feasibility of the optimal designs is demonstrated by fabrication of physical prototypes consisting of arrays of nm scale air-holes etched into the surface of a silicon slab fabricated Using e-beam lithography and ICP/RIE etching. FDTD Simulation methodology is validated by convergence studies as well as comparison to optical measurements on these fabricated devices. Furthermore, in contrast to previous studies we provide an in depth analysis of the physical mechanisms responsible for reduction in surface reflection, determining the parameter space where conventional Gaussian optical processes such as effective refractive index, refraction and Fresnel reflection dominate, vs parameter space where sub wavelength photonic crystal scattering effects play the main role. We finish up with an analysis of electrical performance for the optimal designs to further validate real world performance. Taking electrical performance into account we determine that infinite-symmetry 2D Fibonacci patterning far outperforms lower symmetry 12 fold and triangular arrangement. We believe that this is the first in depth investigation into 2D Fibonacci patterning in silicon solar cells.
Mercier, Thomas M.
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Rahman, Tasmiat
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Krishnan, Chirenjeevi
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Khorani, Edris
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Shaw, Peter J.
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Pollard, Michael E.
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Boden, Stuart A.
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Lagoudakis, Pavlos G.
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Charlton, Martin D.B.
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19 February 2021
Mercier, Thomas M.
7ac05ec5-7884-4ccb-92ac-ac591e866eaa
Rahman, Tasmiat
b01e16a9-3f98-4886-b02f-dc96faec0d7d
Krishnan, Chirenjeevi
e0af2bdd-f350-4602-9293-7661aa1d90bd
Khorani, Edris
70c18542-f30f-4297-80fe-3bf7f324a9f5
Shaw, Peter J.
dcb6c9af-bf38-4dfe-8395-8aeac2ad5cc7
Pollard, Michael E.
1642c7e4-7715-435d-9b5d-ff033744995e
Boden, Stuart A.
83976b65-e90f-42d1-9a01-fe9cfc571bf8
Lagoudakis, Pavlos G.
ea50c228-f006-4edf-8459-60015d961bbf
Charlton, Martin D.B.
fcf86ab0-8f34-411a-b576-4f684e51e274
Mercier, Thomas M., Rahman, Tasmiat, Krishnan, Chirenjeevi, Khorani, Edris, Shaw, Peter J., Pollard, Michael E., Boden, Stuart A., Lagoudakis, Pavlos G. and Charlton, Martin D.B.
(2021)
High symmetry nano-photonic quasi-crystals providing novel light management in silicon solar cells.
Nano Energy, 84, [105874].
(doi:10.1016/j.nanoen.2021.105874).
Abstract
Reduction of surface reflection loss is crucial for high efficiency next generation Si solar cells. Surface texturing provides a viable method to reduce loss over the full solar bandwidth. Previous studies have concentrated on simple moth-eye silicon pillar arrays protruding from the surface. Using FDTD simulation methods, we undertake a systematic investigation into performance benefits provided by complex semi-random photonic quasi-crystal surface patterning methodologies whereby arrays of air holes are etched deep into the solar cell surface. In contrast to other studies we carefully investigate the effect of lattice symmetry, systematically comparing performance of simple 6-fold symmetric triangular photonic crystal patterning to 12 fold symmetry photonic quasicrystal patterning and infinitely symmetric 2D Fibonacci patterning. We optimize key geometric parameters such as lattice pitch, hole size and etch depth to maximize optical performance for each lattice type. 12 fold photonic quasi crystal lattice is found to provide best overall anti-reflectance performance providing a solar-corrected average reflectance of 8.3% for a hole depth of 1.5 µm and 300 nm diameter, in comparison to 36.4% for a bare silicon solar cell surface. Practical feasibility of the optimal designs is demonstrated by fabrication of physical prototypes consisting of arrays of nm scale air-holes etched into the surface of a silicon slab fabricated Using e-beam lithography and ICP/RIE etching. FDTD Simulation methodology is validated by convergence studies as well as comparison to optical measurements on these fabricated devices. Furthermore, in contrast to previous studies we provide an in depth analysis of the physical mechanisms responsible for reduction in surface reflection, determining the parameter space where conventional Gaussian optical processes such as effective refractive index, refraction and Fresnel reflection dominate, vs parameter space where sub wavelength photonic crystal scattering effects play the main role. We finish up with an analysis of electrical performance for the optimal designs to further validate real world performance. Taking electrical performance into account we determine that infinite-symmetry 2D Fibonacci patterning far outperforms lower symmetry 12 fold and triangular arrangement. We believe that this is the first in depth investigation into 2D Fibonacci patterning in silicon solar cells.
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Accepted/In Press date: 8 February 2021
e-pub ahead of print date: 11 February 2021
Published date: 19 February 2021
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Local EPrints ID: 485371
URI: http://eprints.soton.ac.uk/id/eprint/485371
ISSN: 2211-2855
PURE UUID: 2ba9dcac-b335-478c-99c9-dbdccad34870
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Date deposited: 05 Dec 2023 17:38
Last modified: 17 Mar 2024 03:00
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Contributors
Author:
Thomas M. Mercier
Author:
Tasmiat Rahman
Author:
Chirenjeevi Krishnan
Author:
Edris Khorani
Author:
Peter J. Shaw
Author:
Michael E. Pollard
Author:
Stuart A. Boden
Author:
Pavlos G. Lagoudakis
Author:
Martin D.B. Charlton
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