Lithographically-definable solar cell random reflector using genetic algorithm optimization

Albert Lin; Sze Ming Fu; Yan Kai Zhong

doi:10.1109/PVSC.2012.6318221

Lithographically-definable solar cell random reflector using genetic algorithm optimization

Albert Lin^*, Sze Ming Fu, Yan Kai Zhong

^*Corresponding author for this work

Department of Electronics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Randomly textured Lambertian surface provides broad band cosine emission and thus is suitable for photovoltaic application. Nonetheless, variation of efficiency and non-optimized nature of randomly textured devices are undesirable. Here it is shown that using genetic algorithm, a 4×4 binary quasi-random grating can provide 23% higher absorption than 2D periodic grating and 103.5% higher than planar cells, approaching Lambertian limit. The improvement is attributed to broad band transmission for high energy photon and broad band waveguiding effect for low energy photons. Large scale fully-optimized binary grating can potentially surpass Lambertian limit due to its optimized nature and should be employed for future thin-film photovoltaic devices to reduce film thickness and cost.

Original language	English
Title of host publication	Program - 38th IEEE Photovoltaic Specialists Conference, PVSC 2012
Pages	3030-3034
Number of pages	5
DOIs	https://doi.org/10.1109/PVSC.2012.6318221
State	Published - 26 Nov 2012
Event	38th IEEE Photovoltaic Specialists Conference, PVSC 2012 - Austin, TX, United States Duration: 3 Jun 2012 → 8 Jun 2012

Publication series

Name	Conference Record of the IEEE Photovoltaic Specialists Conference
ISSN (Print)	0160-8371

Conference

Conference	38th IEEE Photovoltaic Specialists Conference, PVSC 2012
Country	United States
City	Austin, TX
Period	3/06/12 → 8/06/12

Keywords

genetic algorithm
guided mode
randomized pattern
thin-film solar cell

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

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10.1109/PVSC.2012.6318221

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title = "Lithographically-definable solar cell random reflector using genetic algorithm optimization",

abstract = "Randomly textured Lambertian surface provides broad band cosine emission and thus is suitable for photovoltaic application. Nonetheless, variation of efficiency and non-optimized nature of randomly textured devices are undesirable. Here it is shown that using genetic algorithm, a 4×4 binary quasi-random grating can provide 23% higher absorption than 2D periodic grating and 103.5% higher than planar cells, approaching Lambertian limit. The improvement is attributed to broad band transmission for high energy photon and broad band waveguiding effect for low energy photons. Large scale fully-optimized binary grating can potentially surpass Lambertian limit due to its optimized nature and should be employed for future thin-film photovoltaic devices to reduce film thickness and cost.",

keywords = "genetic algorithm, guided mode, randomized pattern, thin-film solar cell",

author = "Albert Lin and Fu, {Sze Ming} and Zhong, {Yan Kai}",

year = "2012",

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day = "26",

doi = "10.1109/PVSC.2012.6318221",

language = "English",

isbn = "9781467300643",

series = "Conference Record of the IEEE Photovoltaic Specialists Conference",

pages = "3030--3034",

booktitle = "Program - 38th IEEE Photovoltaic Specialists Conference, PVSC 2012",

note = "null ; Conference date: 03-06-2012 Through 08-06-2012",

}

Lin, A, Fu, SM & Zhong, YK 2012, Lithographically-definable solar cell random reflector using genetic algorithm optimization. in Program - 38th IEEE Photovoltaic Specialists Conference, PVSC 2012., 6318221, Conference Record of the IEEE Photovoltaic Specialists Conference, pp. 3030-3034, 38th IEEE Photovoltaic Specialists Conference, PVSC 2012, Austin, TX, United States, 3/06/12. https://doi.org/10.1109/PVSC.2012.6318221

Lithographically-definable solar cell random reflector using genetic algorithm optimization. / Lin, Albert; Fu, Sze Ming; Zhong, Yan Kai.

Program - 38th IEEE Photovoltaic Specialists Conference, PVSC 2012. 2012. p. 3030-3034 6318221 (Conference Record of the IEEE Photovoltaic Specialists Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Lithographically-definable solar cell random reflector using genetic algorithm optimization

AU - Lin, Albert

AU - Fu, Sze Ming

AU - Zhong, Yan Kai

PY - 2012/11/26

Y1 - 2012/11/26

N2 - Randomly textured Lambertian surface provides broad band cosine emission and thus is suitable for photovoltaic application. Nonetheless, variation of efficiency and non-optimized nature of randomly textured devices are undesirable. Here it is shown that using genetic algorithm, a 4×4 binary quasi-random grating can provide 23% higher absorption than 2D periodic grating and 103.5% higher than planar cells, approaching Lambertian limit. The improvement is attributed to broad band transmission for high energy photon and broad band waveguiding effect for low energy photons. Large scale fully-optimized binary grating can potentially surpass Lambertian limit due to its optimized nature and should be employed for future thin-film photovoltaic devices to reduce film thickness and cost.

AB - Randomly textured Lambertian surface provides broad band cosine emission and thus is suitable for photovoltaic application. Nonetheless, variation of efficiency and non-optimized nature of randomly textured devices are undesirable. Here it is shown that using genetic algorithm, a 4×4 binary quasi-random grating can provide 23% higher absorption than 2D periodic grating and 103.5% higher than planar cells, approaching Lambertian limit. The improvement is attributed to broad band transmission for high energy photon and broad band waveguiding effect for low energy photons. Large scale fully-optimized binary grating can potentially surpass Lambertian limit due to its optimized nature and should be employed for future thin-film photovoltaic devices to reduce film thickness and cost.

KW - genetic algorithm

KW - guided mode

KW - randomized pattern

KW - thin-film solar cell

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DO - 10.1109/PVSC.2012.6318221

M3 - Conference contribution

AN - SCOPUS:84869436750

SN - 9781467300643

T3 - Conference Record of the IEEE Photovoltaic Specialists Conference

SP - 3030

EP - 3034

BT - Program - 38th IEEE Photovoltaic Specialists Conference, PVSC 2012

Y2 - 3 June 2012 through 8 June 2012

ER -

Lithographically-definable solar cell random reflector using genetic algorithm optimization

Abstract

Publication series

Conference

Keywords

UN SDGs

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