Optimization of an advanced multi-junction solar-cell design for space environments (AM0) using nearly orthogonal Latin hypercubes
MetadataShow full item record
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.
RightsCopyright is reserved by the copyright owner.
Showing items related by title, author, creator and subject.
Optimizing coverage and revisit time in sparse military satellite constellations a comparison of traditional approaches and genetic algorithms Parish, Jason A. (Monterey, California. Naval Postgraduate School, 2004-09);Sparse military satellite constellations were designed using two methods: a traditional approach and a genetic algorithm. One of the traditional constellation designs was the Discoverer II space based radar. Discoverer II ...
Bartee, Jon A. (Monterey, California. Naval Postgraduate School, 2002-06);The United States Navy needs creative ways to design multi-function phased array radars. This thesis proposes that Genetic Algorithms, computer programs that mimic natural selection to arrive at innovative solutions to ...
Genetic algorithm design and testing of a random element 3-D 2.4 GHZ phased array transmit antenna constructed of commercial RF microchips Esswein, Lance C. (Monterey, California. Naval Postgraduate School, 2003-06);The United States Navy requires radical and innovative ways to model and design multifunction phased array radars. This thesis puts forth the concept that Genetic Algorithms, computer simulations that mirror the natural ...