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The Potential of Cast Silicon
- Publication Year :
- 2021
-
Abstract
- The interest in cast mono silicon is increasing due to its lower energy consumption and resulting smaller carbon footprint, lower oxygen content and resulting less oxygen-related defects as well as easy scalability to large wafer formats like 210 × 210 mm2 full square. As a cast silicon alternative to high performance multicrystalline (hpm) silicon, which rapidly lost market share, we analyze the cell efficiency potential of cast mono silicon in a TOPCon cell structure. We show how the absence of grain boundaries and the exceptional tolerance of the material quality towards high temperature processing enable this significant increase of the cell efficiency potential compared to hpm silicon. The very effective suppression of crystal defects by the Seed Manipulation for ARtificially controlled defect Technique (SMART) results in a very low lateral variation of the high material quality. We present certified cell efficiencies of 23.3% on n-type material crystallized in our labs, which demonstrates the high efficiency potential even for our lab-type G2 crystallization. An additional crystallization experiment for 210 × 210 mm2 wafers demonstrates that SMART mono is compatible to large wafer sizes. A significant difference of the crystallization costs for Cz and cast mono crystallization as a function of electricity costs is discussed.
- Subjects :
- Materials science
Lateral variation
Silicon
chemistry.chemical_element
02 engineering and technology
010402 general chemistry
silicon solar cell
01 natural sciences
Lower energy
law.invention
law
Wafer
Crystallization
Oxygen content
ELBA
Renewable Energy, Sustainability and the Environment
business.industry
cast mono
021001 nanoscience & nanotechnology
Crystallographic defect
0104 chemical sciences
Surfaces, Coatings and Films
Electronic, Optical and Magnetic Materials
Silicium-Photovoltaik
chemistry
efficiency
Photovoltaik
Optoelectronics
Grain boundary
TOPCon
0210 nano-technology
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....8575ca5aaa7578bd951acf84d27877ed