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 journalArticle

53 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

Fingerprint

Silicon solar cells
Silicon
Casting
temperature distribution
Iron
solar cells
Crystalline materials
ingots
iron
Ingots
Computer simulation
silicon
simulation
Solar cells
Temperature
Heat transfer
heat
convective heat transfer
finite volume method
Crucibles

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Inorganic Chemistry
  • Materials Chemistry

Cite this

Dynamic simulation of temperature and iron distributions in a casting process for crystalline silicon solar cells with a global model. / Liu, Lijun; Nakano, Satoshi; Kakimoto, Koichi.

In: Journal of Crystal Growth, Vol. 292, No. 2, 01.07.2006, p. 515-518.

Research output: Contribution to journalArticle

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