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:: Volume 8, Issue 1 (9-2021) ::
2021, 8(1): 57-76 Back to browse issues page
Optimized Back Reflector for Thin Film Solar Cells using PSO and Genetic Algorithms
Ali Bahrami
Optoelectronics and Nanophononics Research Lab. (ONRL), Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, Iran.
Abstract:   (2868 Views)
Since the introduction of the first silicon solar cell, there have been steady improvements in its performance parameters such as light trapping, solar absorption, cell efficiency and manufacturing costs. In thin silicon cells, some of the light photons that are not absorbed by the semiconductor are always lose in various ways. The diffraction grating causes the photons to travel a longer light path due to the collision with this structure, which increases the length of the light path of the photons and cell absorption, that thus improving cell efficiency. In each of the mentioned structures, optimal materials and geometric properties have been used to achieve maximum efficiency of silicon cells. Intelligent optimization methods have been used to find the optimal geometric parameters for the structure. In choosing search methods from the two algorithms particle swarm optimization and genetics and creating a combination of the both, the positive feature of both algorithms was used to achieve the best answer. This combination has produced very positive results, which thereby, 23.293 efficiencies and 35.41 mA/cm2 short circuit current were obtained.
Keywords: Thin film solar cell, light trapping, particle swarm optimization, genetic algorithm
Full-Text [PDF 1063 kb]   (677 Downloads)    
Type of Study: Research | Subject: Optical Electronics
Received: 2020/12/27 | Accepted: 2021/04/28 | Published: 2022/01/19
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Bahrami A. Optimized Back Reflector for Thin Film Solar Cells using PSO and Genetic Algorithms. Journal of Nonlinear Systems in Electrical Engineering 2021; 8 (1) :57-76
URL: http://journals.sut.ac.ir/jnsee/article-1-364-en.html


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Volume 8, Issue 1 (9-2021) Back to browse issues page
سامانه های غیرخطی در مهندسی برق Journal of Nonlinear Systems in Electrical Engineering
نشریه سامانه‌های غیرخطی در مهندسی برق در خصوص اصول اخلاقی انتشار مقاله، از توصیه‌های «کمیته بین‌المللی اخلاق نشر» موسوم به COPE و «منشور و موازین اخلاق پژوهش» مصوب معاونت پژوهش و فناوری وزارت علوم، تحقیقات و فناوری تبعیت می‌کند.
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