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  4. Implementation of Fermi-Dirac statistics and advanced models in PC1D for precise simulations of silicon solar cells
 
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2014
Journal Article
Title

Implementation of Fermi-Dirac statistics and advanced models in PC1D for precise simulations of silicon solar cells

Abstract
In this work we present a modified version of the commonly used semiconductor simulation program PC1D, named cmd-PC1D 6.0, which applies Fermi-Dirac (F-D) statistics, thus improving on the existing Boltzmann approximation that is employed in the original program. Several up-to-date models for crystalline Si have been implemented in the new program, including injection dependent band gap narrowing, carrier mobility and Auger recombination. The results obtained using cmd-PC1D 6.0 are verified against well-accepted and modern simulations tools for a range of both phosphorus- and boron-doped emitters with varying surface concentration. We find a good correspondence between the simulation results obtained with the different programs, with a deviation of less than 2 fA/cm2 for the calculated emitter saturation current density using F-D statistics and less than 0.8 % relative deviation in all the main solar cell parameters under 1 sun illumination. By using the correct carrier statistics and the appropriate set of models it is now possible to avoid the commonly used effective models and adapted values, thus taking a large step in bringing PC1D further towards a more general, consistent and physically meaningful simulation tool for Si solar cells. The new program can be run from a command line or within a recently developed, powerful graphical user interface. Both cmd-PC1D 6.0 and the graphical user interface are freely available for download.
Author(s)
Haug, Halvard
Kimmerle, Achim
Greulich, Johannes M.  
Wolf, Andreas  
Stensrud Marstein, E.
Journal
Solar energy materials and solar cells  
Conference
International Conference on Crystalline Silicon Photovoltaics (SiliconPV) 2014  
DOI
10.1016/j.solmat.2014.06.021
Language
English
Fraunhofer-Institut für Solare Energiesysteme ISE  
Keyword(s)
  • PV Produktionstechnologie und Qualitätssicherung

  • Silicium-Photovoltaik

  • Charakterisierung von Prozess- und Silicium-Materialien

  • Simulation

  • Statistics

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