Revisiting light trapping in silicon solar cells with random pyramids

Salman Manzoor, Miha Filipic, Marko Topic, Zachary Holman

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

Abstract

Random pyramids are the most widely used texture in monocrystalline silicon solar cells for reducing front- surface reflection and trapping weakly absorbed light. In prior efforts to evaluate the light-trapping performance of random pyramids through optical simulations, the base angle of the pyramids was assumed to be 54.7°, as is expected from the orientation of the crystallographic planes. In this contribution, we benchmark the light-trapping capability of real random pyramids - which have a distribution of base angles - against both ideal, 54.7° random pyramids, and a Lambertian scatterer. We do so by calculating the path length enhancement and fraction of rays remaining trapped as a function of passes through the wafer, and this information is used to calculate short- circuit current density as a function of wafer thickness. Interestingly, the excellent performance of real random pyramids - they are close to Lambertian - arises precisely because they are imperfect and have a distribution of angles.

Original languageEnglish (US)
Title of host publication2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3061-3066
Number of pages6
ISBN (Electronic)9781509056057
DOIs
StatePublished - 2017
Event44th IEEE Photovoltaic Specialist Conference, PVSC 2017 - Washington, United States
Duration: Jun 25 2017Jun 30 2017

Publication series

Name2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017

Other

Other44th IEEE Photovoltaic Specialist Conference, PVSC 2017
Country/TerritoryUnited States
CityWashington
Period6/25/176/30/17

Keywords

  • Atomic force microscopy
  • Light trapping
  • Photovoltaic cells
  • Ray tracing
  • Silicon
  • Surface morphology

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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