• DocumentCode
    47363
  • Title

    Multiscale Modeling and Simulation for Optimizing Polymer Bulk Heterojunction Solar Cells

  • Author

    Fanan Wei ; Liming Liu ; Lianqing Liu ; Guangyong Li

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Pittsburgh, Pittsburgh, PA, USA
  • Volume
    3
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    300
  • Lastpage
    309
  • Abstract
    Optimizing polymer bulk heterojunction solar cells requires a fine tune over the thickness, weight ratio, and the morphology because of the strong coupling among light absorption, exciton dissociation, and charge carrier transport within bulk heterojunctions. Without guidance from modeling and simulation, it will be a daunting challenge to optimize the device performance. In this paper, we present a multiscale modeling and simulation approach by integrating the Monte Carlo simulation, the optical absorption calculation, and the macroscopic device simulation. Such integration accounts for multiscale aspects of the bulk heterojunctions in polymer solar cells, which is not possible by any individual method alone. For the first time, we are able to predict the best device performance by simultaneously optimizing the thickness of the active layer, the nanoscale morphology of the bulk heterojunctions, and the donor/acceptor weight ratio through the multiscale simulation.
  • Keywords
    Monte Carlo methods; absorption; solar cells; Monte Carlo simulation; donor-acceptor weight ratio; macroscopic device simulation; multiscale modeling; optical absorption calculation; polymer bulk heterojunction solar cell optimization; Absorption; Excitons; Monte Carlo methods; Morphology; Nanoscale devices; Photovoltaic cells; Polymers; Monte Carlo simulation; multiscale simulation; organic solar cells;
  • fLanguage
    English
  • Journal_Title
    Photovoltaics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2156-3381
  • Type

    jour

  • DOI
    10.1109/JPHOTOV.2012.2216507
  • Filename
    6313877