Dynamic simulation of temperature and iron distributions in a casting process for crystalline silicon solar cells with a global model

Lijun Liu, Satoshi Nakano, Koichi Kakimoto

Research output: Contribution to journalArticlepeer-review

58 Citations (Scopus)

Abstract

The casting method is a key method for large-scale production of multi-crystalline silicon for use in highly efficient solar cells in the photovoltaic industry. Since the efficiency of solar cells depends on the quality of the multi-crystalline silicon, it is important to optimize the casting process to control temperature and iron distributions in a silicon ingot. We developed a new transient global model for the casting process and carried out simulations to study the temperature and iron distributions in a silicon ingot during solidification. Conductive heat transfer and radiative heat exchange in a casting furnace and convective heat transfer in the melt in a crucible are coupled to each other. These heat exchanges were solved iteratively by a finite-volume method in a transient way. Time-dependent distributions of iron and temperature in a silicon ingot during the casting process were numerically studied.

Original languageEnglish
Pages (from-to)515-518
Number of pages4
JournalJournal of Crystal Growth
Volume292
Issue number2
DOIs
Publication statusPublished - Jul 1 2006

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Inorganic Chemistry
  • Materials Chemistry

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