• DocumentCode
    26881
  • Title

    An Optical Model for Predicting the Quantum Efficiency of Solar Modules

  • Author

    Gjessing, Jo ; Marstein, E.S.

  • Author_Institution
    Dept. for Solar Energy, Inst. for Energy Technol., Kjeller, Norway
  • Volume
    4
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    304
  • Lastpage
    310
  • Abstract
    The fact that a solar cell will be encapsulated in a solar module has a strong impact on how its optical properties should be characterized, designed, and optimized. In this paper, we present a ray-tracing model that is capable of calculating the optical properties of a solar cell with a random pyramidal texture both with and without encapsulation and for the light at any angle of incidence. We introduce a simple method wherein we combine ray tracing and external quantum efficiency (EQE) measurements of a solar cell to predict the EQE after encapsulation for any choice of encapsulation materials and antireflection coatings. We verify the quality of our EQE-prediction toward experimental data and find good agreement. We apply this approach and compare the influence of different encapsulation materials on the module performance and perform a full loss analysis at a few selected angles of incidence. Finally, we use the ray-tracing model to map generation current for all angles of incidence relevant for a pyramidal texture both with and without encapsulation.
  • Keywords
    antireflection coatings; encapsulation; optical properties; ray tracing; solar cells; EQE measurements; EQE-prediction; angle of incidence; antireflection coatings; encapsulation materials; external quantum efficiency measurements; generation current; loss analysis; optical properties; random pyramidal texture; ray tracing; solar cell; solar modules; Encapsulation; Glass; Photovoltaic cells; Ray tracing; Silicon; Wavelength measurement; Random pyramids; ray tracing; solar cells/photovoltaic modules;
  • fLanguage
    English
  • Journal_Title
    Photovoltaics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2156-3381
  • Type

    jour

  • DOI
    10.1109/JPHOTOV.2013.2272877
  • Filename
    6612663