Assessing the Device-performance Impacts of Structural Defects with TCAD Modeling

Abstract Advanced solar cell architectures like passivated emitter and rear (PERC) and heterojunction with intrinsic thin layer (HIT) are increasingly sensitive to bulk recombination. Present device models consider homogeneous bulk lifetime, which does not accurately reflect the effects of heterogeneously distributed defects. To determine the efficiency potential of multicrystalline silicon (mc-Si) in next-generation architectures, we present a higher-dimensional numerical simulation study of the impacts of structural defects on solar cell performance. We simulate these defects as an interfacial density of traps with a single mid-gap energy level using Shockley-Read-Hall (SRH) statistics. To account for enhanced recombination at the structural defects, we apply a linear scaling to the majority-carrier capture cross-section and scale the minority-carrier capture cross-section with the inverse of the line density of traps. At 300 K, our simulations of carrier occupation and recombination rate match literature electron-beam-induced current (EBIC) data and first-principles calculations of carrier capture, emission, and recombination for all the energy levels associated with dislocations decorated with metal impurities. We implement our model in Sentaurus Device, determining the losses across different device architectures for varying impurity decoration of grain boundaries.

[1]  Tonio Buonassisi,et al.  Crystalline silicon photovoltaics: a cost analysis framework for determining technology pathways to reach baseload electricity costs , 2012 .

[2]  Andreas Schenk,et al.  Explanation of commonly observed shunt currents in c-Si solar cells by means of recombination statistics beyond the Shockley-Read-Hall approximation , 2011 .

[3]  P. Altermatt,et al.  Development of a three-dimensional numerical model of grain boundaries in highly doped polycrystalline silicon and applications to solar cells , 2002 .

[4]  Pietro P. Altermatt,et al.  Predicted electronic properties of polycrystalline silicon from three-dimensional device modeling combined with defect-pool model , 2002 .

[5]  W. Schröter,et al.  Recombination activity of contaminated dislocations in silicon: A model describing electron-beam-induced current contrast behavior , 2001 .

[6]  Dieter K. Schroder,et al.  Semiconductor Material and Device Characterization: Schroder/Semiconductor Material and Device Characterization, Third Edition , 2005 .

[7]  P. Altermatt,et al.  A numerical simulation study of gallium-phosphide/silicon heterojunction passivated emitter and rear solar cells , 2014 .

[8]  T. Sekiguchi,et al.  Electron-beam-induced current study of grain boundaries in multicrystalline silicon , 2004 .

[9]  Wilhelm Warta,et al.  Spatially resolved modeling of the combined effect of dislocations and grain boundaries on minority carrier lifetime in multicrystalline silicon , 2007 .

[10]  Pietro P. Altermatt,et al.  Models for numerical device simulations of crystalline silicon solar cells—a review , 2011 .

[11]  Bhushan Sopori,et al.  Silicon solar-cell processing for minimizing the influence of impurities and defects , 2002 .

[12]  D. Schroder Semiconductor Material and Device Characterization , 1990 .

[13]  M. Kittler,et al.  Recombination activity of “clean” and contaminated misfit dislocations in Si(Ge) structures , 1994 .

[14]  Matthew D. Pickett,et al.  Control of metal impurities in "dirty" multicrystalline silicon for solar cells , 2006 .

[15]  M. Kittler,et al.  TWO TYPES OF ELECTRON-BEAM-INDUCED CURRENT BEHAVIOUR OF MISFIT DISLOCATIONS IN SI(GE) : EXPERIMENTAL OBSERVATIONS AND MODELLING , 1994 .