LAPSE:2023.22495
Published Article
LAPSE:2023.22495
Application of Genetic Algorithm for More Efficient Multi-Layer Thickness Optimization in Solar Cells
Premkumar Vincent, Gwenaelle Cunha Sergio, Jaewon Jang, In Man Kang, Jaehoon Park, Hyeok Kim, Minho Lee, Jin-Hyuk Bae
March 24, 2023
Thin-film solar cells are predominately designed similar to a stacked structure. Optimizing the layer thicknesses in this stack structure is crucial to extract the best efficiency of the solar cell. The commonplace method used in optimization simulations, such as for optimizing the optical spacer layers’ thicknesses, is the parameter sweep. Our simulation study shows that the implementation of a meta-heuristic method like the genetic algorithm results in a significantly faster and accurate search method when compared to the brute-force parameter sweep method in both single and multi-layer optimization. While other sweep methods can also outperform the brute-force method, they do not consistently exhibit 100% accuracy in the optimized results like our genetic algorithm. We have used a well-studied P3HT-based structure to test our algorithm. Our best-case scenario was observed to use 60.84% fewer simulations than the brute-force method.
Keywords
finite difference time domain, Genetic Algorithm, optical modelling, solar cell optimization
Suggested Citation
Vincent P, Cunha Sergio G, Jang J, Kang IM, Park J, Kim H, Lee M, Bae JH. Application of Genetic Algorithm for More Efficient Multi-Layer Thickness Optimization in Solar Cells. (2023). LAPSE:2023.22495
Author Affiliations
Vincent P: School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Korea
Cunha Sergio G: School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Korea [ORCID]
Jang J: School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Korea [ORCID]
Kang IM: School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Korea
Park J: College of Software, Hallym University, Chuncheon 24252, Korea
Kim H: Department of Electrical and Computer Engineering, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, Korea [ORCID]
Lee M: Department of Artificial Intelligence, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Korea
Bae JH: School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Korea [ORCID]
Journal Name
Energies
Volume
13
Issue
7
Article Number
E1726
Year
2020
Publication Date
2020-04-04
Published Version
ISSN
1996-1073
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PII: en13071726, Publication Type: Journal Article
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LAPSE:2023.22495
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doi:10.3390/en13071726
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Mar 24, 2023
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