Optimization of power conversion efficiency in multi-band solar cells (theoretical investigation using GA optimization)

• Published in: Optical and quantum electronics Vol. 53; no. 8
• Main Authors: Eskandari, M., Rostami, G., Dolatyari, M., Rostami, A., Heidarzadeh, H.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2021; Springer Nature B.V
• Subjects: Characterization and Evaluation of Materials; Computer Communication Networks; Efficiency; Electrical Engineering; Energy conversion efficiency; Genetic algorithms; Lasers; Mathematical analysis; Maximum power; Optical Devices; Optics; Optimization; Optimization techniques; Photonics; Photovoltaic cells; Physics; Physics and Astronomy; Solar cells; Multiple bands solar cells; Detailed balance; Genetic algorithm; Efficiency; Optimization
• ISSN: 0306-8919; 1572-817X
• DOI: 10.1007/s11082-021-03109-1

Multi band solar cells provide the possibility to achieve ultra-high power conversion efficiency by absorbing incident infrared wavelengths. In this paper, we provide theoretical evaluation and framework for maximum power conversion efficiency limit for multiband solar cells. In order to achieve this goal, the genetic algorithm (GA) optimization techniques are used. To precise calculation, solar cells with three and four intermediate bands are considered in detail in this paper. Our calculation shows the maximum efficiency of 62.9% and 70.3% for the three and four band solar cells, respectively. The development of this algorithm lets us design and propose a novel and appropriate materials for photovoltaic structures to achieve maximum power conversion efficiency. It should mention that the proposed method can open a new research field in the synthesis of new materials to realize the proposed idea.