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

Date
2024
Authors
Zumahi S.M.A.-A.
Basher M.K.
Arobi N.
Rahman M.M.
Tawfeek A.M.
Akand M.A.R.
Rahman M.M.
Nur-E-Alam M.
Hossain M.K.
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Publisher
Springer
Research Projects
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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 (Voc) around 0.749�V, short circuit current (Isc) about 3.987 A, and a fill factor of 26.19% that can be potentially useful for the fabrication of high-efficiency solar cells. ? The Author(s), under exclusive licence to The Optical Society of India 2024.
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Keywords
Computer aided software engineering , Computer software , Conversion efficiency , Copper compounds , Monocrystalline silicon , Personal computers , Silicon solar cells , Design and optimization , Doping concentration , High efficiency silicon solar cells , High-efficiency solar cells , Low surface reflection , Monocrystalline , PC1D simulation , Silicon surfaces , Surface reflections , Texturization , Open circuit voltage
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