High-efficiency silicon solar cells designed on experimentally achieved nano-engineered low-reflective silicon surface

Document Type

Journal Article

Publication Title

Journal of Optics

Publisher

Springer

School

School of Science

RAS ID

64626

Funders

King Saud University, Riyadh, Saudi Arabia / Department of Glass and Ceramic Engineering, Banlgadesh University of Engineering and Technology / Institute of Electronics, Bangladesh Atomic Energy Comission / School of Science, Edith Cowan University

Comments

Zumahi, S. M. A. A., Basher, M. K., Arobi, N., Rahman, M. M., Tawfeek, A. M., Akand, M. A. R., . . . Hossain, M. K. (2024). High-efficiency silicon solar cells designed on experimentally achieved nano-engineered low-reflective silicon surface. Journal of Optics. Advance online publication. https://doi.org/10.1007/s12596-023-01574-3

Abstract

We explore the design and optimization of high-efficiency solar cells on low-reflective monocrystalline silicon surfaces using a personal computer one dimensional simulation software tool. The changes in the doping concentration of the n-type and p-type materials profoundly affects the generation and recombination process, thus affecting the conversion efficiency of silicon solar cells. To enhance solar cells' performance, copper nanoparticle (Cu-NP) assisted surface texturization has been employed on the silicon surface with resistivity 1–3 .cm. The surface texturization assists in reducing the surface reflection of silicon by around 0.65%. The doping concentration and the layer thicknesses of a solar cell are optimized and found that 1 × 1014 cm−3 doping concentration at three different thicknesses (5, 10, and 15 m) of the n-type region exhibit the maximum solar cell conversion efficiency of around 26.19%. The optimized design solution shows the best output parameters namely open-circuit voltage (V oc) around 0.749 V, short circuit current (I sc) about 3.987 A, and a fill factor of 26.19% that can be potentially useful for the fabrication of high-efficiency solar cells.

DOI

10.1007/s12596-023-01574-3

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