DocumentCode :
3524512
Title :
Lithographically-definable solar cell random reflector using genetic algorithm optimization
Author :
Lin, Albert S. ; Fu, Sze-Ming ; Zhong, Yan-Kai
Author_Institution :
Inst. of Electron. Eng., Nat. Chiao-Tung Univ., Hsinchu, Taiwan
fYear :
2012
fDate :
3-8 June 2012
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 algorithms; lithography; photons; solar cells; thin film devices; 2D periodic grating; Lambertian limit; absorption; binary quasirandom grating; broadband cosine emission; broadband transmission; broadband waveguiding effect; efficiency variation; energy photon; film thickness; genetic algorithm optimization; large-scale fully-optimized binary grating; lithographically-definable solar cell random reflector; photovoltaic application; planar cells; randomly-textured Lambertian surface; thin-film photovoltaic devices; Absorption; Genetic algorithms; Gratings; Photovoltaic cells; Refractive index; Silicon; Zinc oxide; genetic algorithm; guided mode; randomized pattern; thin-film solar cell;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Photovoltaic Specialists Conference (PVSC), 2012 38th IEEE
Conference_Location :
Austin, TX
ISSN :
0160-8371
Print_ISBN :
978-1-4673-0064-3
Type :
conf
DOI :
10.1109/PVSC.2012.6318221
Filename :
6318221
Link To Document :
بازگشت