研究目的
Investigating the use of narrow bandgap dilute nitride GaInNAsSb materials for 6-junction space solar cells to achieve higher conversion efficiencies under AM0 illumination.
研究成果
The study demonstrates the potential of GaInNAsSb materials with high N compositions for use in 6-junction solar cells, achieving a photocurrent of 36.6 mA/cm2 under AM0 illumination for a cell with 6.2% N content. The estimated AM0 efficiency for a 6-junction design incorporating such a cell is 33%, with potential for further improvements.
研究不足
The study acknowledges that further optimization of the narrow bandgap GaInNAsSb materials is needed to achieve higher AM0 efficiencies exceeding 35%. The current level of material quality limits the estimated efficiency of the 6-junction design to 33%.
1：Experimental Design and Method Selection:
The study focuses on the development and characterization of GaInNAsSb p-i-n solar cells with varying N compositions (5-8%) for use in 6-junction solar cells. The cells are grown using molecular beam epitaxy (MBE) and characterized through external quantum efficiency (EQE) and light-biased current-voltage (LIV) measurements under AM0 conditions.
2：Sample Selection and Data Sources:
Samples are grown on n-GaAs(100) substrates with a specific structure including GaInNAsSb i-region and GaAs layers. The actual compositions are measured by EDS.
3：List of Experimental Equipment and Materials:
A Veeco GEN20 plasma-assisted MBE-system is used for growth. Characterization equipment includes an OAI TriSol 7 kW CPV-simulator for LIV measurements and an in-house built monochromator based EQE setup with an Oriel 250 W QTH lamp.
4：Experimental Procedures and Operational Workflow:
The wafers are processed into solar cells without antireflection coatings. EQE and LIV measurements are performed to assess cell performance.
5：Data Analysis Methods:
The efficiency potential of a 6-junction design incorporating the GaInNAsSb junction is estimated through diode modelling using realistic parameters derived from experimental data.
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