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Thin-Film Solar Cells Performances Optimization: Case of Cu (In, Ga) Se 2 -ZnS

In: Solar Cells - Theory, Materials and Recent Advances

Author

Listed:
  • Fridolin Tchangnwa Nya
  • Guy Maurel Dzifack Kenfack

Abstract

In this chapter, we investigate a way of improving solar cells performances. By focusing studies on optimizing the structural, the opto-electrical and electronic properties of materials that constitute the layers and interfaces of a solar device, such as electrical susceptibility, doping concentration, mobility of charge carriers and crystallographic structure, it is possible to improve the output parameters of a solar cell. Working on a CIGSe-based second-generation ultra-thin solar cell model, and using Zinc Sulfide (ZnS) as a window layer, and based on recent studies, vital information are found on the optimal values of these properties that may enhance the efficiency of the cell. A correct modeling of the device with a trusted software such as SCAPS and an appropriate set of the exact conditions and parameters of simulation allow to obtain very promising results. In particular, for nanoscale and microscale thicknesses of buffer and absorber layers materials respectively, and with an appropriate choice of other materials properties such as intrinsic doping concentration, electrons and holes mobilities, it is possible to record efficiencies and fill factors of more than 26% and 85% respectively. These values are very promising for solar energy harvesting technologies development through CIGSe - ZnS based solar devices.

Suggested Citation

  • Fridolin Tchangnwa Nya & Guy Maurel Dzifack Kenfack, 2021. "Thin-Film Solar Cells Performances Optimization: Case of Cu (In, Ga) Se 2 -ZnS," Chapters, in: Ahmed Mourtada Elseman (ed.), Solar Cells - Theory, Materials and Recent Advances, IntechOpen.
  • Handle: RePEc:ito:pchaps:214507
    DOI: 10.5772/intechopen.93817
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    File URL: https://www.intechopen.com/chapters/73305
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    More about this item

    Keywords

    thin-film; solar cell; CIGSe; ZnS; efficiency optimization; SCAPS numerical simulation; structural properties; Opto-electrical properties;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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