An expert system approach to the optimal design of single-junction and multijunction tandem solar cells
The use of an expert system approach to the optimal design of single-junction and multijunction solar cells is a potential new design tool in photovoltaics. This study presents results of a comprehensive study of this new design method. To facilitate the realistic optimal design of the two-terminal monolithic single-junction and multijunction tandem solar cells, a rule-based system was established by adopting the experimental data and/or semi-empirical formulae used today for those design parameters. A numerical simulation based on the displacement damage theory was carried out to study the degradation of AlGaAs/GaAs solar cells after proton or electron irradiation. The damage constant of the minority-carrier diffusion length, an important design parameter of a solar cell for space application, was calculated. An efficient Box complex optimization technique with minor modifications is analyzed and applied to accelerate the convergence rate of the algorithm. Design rules were implemented in order to reduce the search space of the optimal design and to make a compromise in the tradeoff between the conflicting criteria for selection. Realistic optimal design of these solar cells were obtained and verified from the expert system and then compared with state-of-the-art technology.
- Research Organization:
- Florida Univ., Gainesville, FL (USA)
- OSTI ID:
- 7012975
- Resource Relation:
- Other Information: Thesis (Ph. D.)
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ALUMINIUM ARSENIDE SOLAR CELLS
PHYSICAL RADIATION EFFECTS
COMPUTER-AIDED DESIGN
EXPERT SYSTEMS
GALLIUM ARSENIDE SOLAR CELLS
SOLAR CELLS
NUMERICAL ANALYSIS
OPTIMIZATION
DIRECT ENERGY CONVERTERS
EQUIPMENT
MATHEMATICS
PHOTOELECTRIC CELLS
PHOTOVOLTAIC CELLS
RADIATION EFFECTS
SOLAR EQUIPMENT
140501* - Solar Energy Conversion- Photovoltaic Conversion
990200 - Mathematics & Computers