Optoelectronically optimized colored thin-film CZTSSe solar cells

Faiz Ahmad, Tom H. Anderson, Torben Lenau, Akhlesh Lakhtakia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Rooftop solar cells may become more acceptable if they are colored, e.g., red or bluish green, which requires that a certain part of the incoming solar spectrum be reflected. We implemented and optimized an optoelectronic model for Cu2ZnSn(SζSe1-ζ)4 (CZTSSe) solar cells containing (i) a conventional 2200-nm-thick CZTSSe layer with homogeneous bandgap, or (ii) an ultrathin CZTSSe layer with optoelectronically optimized sinusoidally nonhomogeneous bandgap, or (iii) a CZTSSe layer with optoelectronically optimized linearly nonhomogeneous bandgap. Either complete or partial rejection of either red or bluish green photons was incorporated in the model. Calculations show that on average, the efficiency of a typical solar cell will be reduced by about 9% if 50% red photons are reflected or by about 13% if 50% blue-green photons are reflected. The efficiency reduction increases to about 18% if all red photons are reflected or about 26% if all blue-green photons are reflected.

Original languageEnglish (US)
Title of host publicationInternational Workshop on Thin Films for Electronics, Electro-Optics, Energy, and Sensors 2019
EditorsPartha Banerjee, Karl Gudmundsson, Akhlesh Lakhtakia, Guru Subramanyam
PublisherSPIE
ISBN (Electronic)9781510635135
DOIs
StatePublished - 2019
EventInternational Workshop on Thin Films for Electronics, Electro-Optics, Energy, and Sensors 2019, TFE3S 2019 - Reykjavik, Iceland
Duration: Jun 24 2019Jun 26 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11371
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInternational Workshop on Thin Films for Electronics, Electro-Optics, Energy, and Sensors 2019, TFE3S 2019
Country/TerritoryIceland
CityReykjavik
Period6/24/196/26/19

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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