Optimization of an advanced multi-junction solar-cell design for space environments (AM0) using nearly orthogonal Latin hypercubes
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Authors
Pueschel, Silvio
Subjects
solar cell
InGaP
GaInP
GaAs
Ge
single cell
dual-junction cell
optimization
maximum power
efficiency
Silvaco ATLAS
simulation
photovoltaic
nearly orthogonal Latin hypercube
design of experiments
InGaP
GaInP
GaAs
Ge
single cell
dual-junction cell
optimization
maximum power
efficiency
Silvaco ATLAS
simulation
photovoltaic
nearly orthogonal Latin hypercube
design of experiments
Advisors
Michael, Sherif
Lucas, Thomas
Date of Issue
2017-06
Date
Jun-17
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
This thesis focuses on the replacement of a genetic algorithm currently used to optimize multi-junction solar cells with Silvaco Atlas simulation software. It introduces the nearly orthogonal Latin hypercube (NOLH) design of experiments (DoE) as a means for exploring and optimizing solar cell designs in Silvaco Atlas. The general applicability of this approach has been proven, and compared to the genetic algorithm optimization technique, the following achievements have been made. The pre-generated simulation designs can now be processed in parallel, which drastically reduces the time required to conduct multiple simulations. Moreover, the data generated using the NOLH enabled a better understanding of the simulation input/output relationship and helped to focus the solar cell development by highlighting the design parameters that matter most. Using stepwise regression to build a metamodel helped in finding an optimal design and revealing the interactions among the input parameters. The initial simulation has already yielded promising results and has clearly shown the preeminence of the NOLH over the genetic algorithm by identifying a design with greater than 21% more power output than in previous designs. The NOLH DoE should become the new standard for optimizing solar cells in Silvaco Atlas.
Type
Thesis
Description
Series/Report No
Department
Operations Research (OR)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner.