2018 International Conference on Applied Smart Systems (ICASS) · 2018 · 29 citations · 24 references
EngineeringMaterials EngineeringMaterials ScienceDesign OptimizationOptoelectronicsSemiconductor DevicesPhotovoltaic DevicesPhotovoltaic MaterialsSemiconductor Device MaterialsSemiconductor SurfacesSolar Cell MaterialsSolar CellsAntireflection CoatingsGenetic Algorithm OptimizationHeterojunction Solar CellsHeterostructure Solar CellsPhotovoltaic Cell DesignSilicon Solar CellsSolar Cell Fabrication
This paper deals with the analytical investigation of light trapping effects on the performance of silicon-germanium (SiGe)-based solar cells in order to optimize both the texture morphology and the antireflection coating (ARC) design parameters. In particular, the model allows to improve the electrical efficiency of ARC/c-Si/SiGe/c-Si heterojunction structures by taking into account also the back surface field (BSF) layer. A multi-objective genetic algorithm (MOGA) has been used as global optimization approach including triangular grating morphology and fundamental device parameters such as the Ge mole fraction, and the doping and thickness of the different device regions.
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Polycrystalline ZnO: B grown by LPCVD as TCO for thin film silicon solar cells
S. Faÿ, J. Steinhauser, Sylvain Nicolay et al. · Thin Solid Films · 2009 · 160 citations · Full text
Natural Sciences, Materials Engineering, Materials Science +14