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 language | English |
|---|---|
| Pages (from-to) | 515-518 |
| Number of pages | 4 |
| Journal | Journal of Crystal Growth |
| Volume | 292 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jul 1 2006 |
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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 journal › Article
}
TY - JOUR
T1 - Dynamic simulation of temperature and iron distributions in a casting process for crystalline silicon solar cells with a global model
AU - Liu, Lijun
AU - Nakano, Satoshi
AU - Kakimoto, Koichi
PY - 2006/7/1
Y1 - 2006/7/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33745825155&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745825155&partnerID=8YFLogxK
U2 - 10.1016/j.jcrysgro.2006.04.060
DO - 10.1016/j.jcrysgro.2006.04.060
M3 - Article
AN - SCOPUS:33745825155
VL - 292
SP - 515
EP - 518
JO - Journal of Crystal Growth
JF - Journal of Crystal Growth
SN - 0022-0248
IS - 2
ER -