File:OPTIMIZATION OF MULTI-JUNCTION SOLAR CELL FOR SPACE APPLICATIONS MODELED WITH RUBY, MATLAB, AND SILVACO (IA optimizationofmu1094564137).pdf
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Summary[edit]
OPTIMIZATION OF MULTI-JUNCTION SOLAR CELL FOR SPACE APPLICATIONS MODELED WITH RUBY, MATLAB, AND SILVACO ( ) | ||
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Author |
Allen, Tony Jr. |
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Title |
OPTIMIZATION OF MULTI-JUNCTION SOLAR CELL FOR SPACE APPLICATIONS MODELED WITH RUBY, MATLAB, AND SILVACO |
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Publisher |
Monterey, CA; Naval Postgraduate School |
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Description |
The purpose of this research is to document further research into the optimization techniques investigated by James Walsh and applied to Multi-junction Solar Cells. Walsh performed his research with the Near Orthogonal Latin Hypercube (NOLH) in order to optimize the design specifications for each layer of solar cell thickness and doping concentration. Walsh at the same time evaluated cell performance under the radiation effects of the space environment. This research performed a similar analysis, except for the radiation effects, but focused more on producing an algorithm that could be executed from single user input and significantly reducing the selected design space. This research produced an efficient program that seamlessly operates between Ruby, MATLAB, and Silvaco ATLAS in order to produce an optimal designed dual-junction solar cell for space applications, in a much smaller design space than the technique utilized by Walsh. Subjects: space solar cells; radiation effects; photovoltaic modeling; efficiency; optimization |
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Language | English | |
Publication date | December 2019 | |
Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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Accession number |
optimizationofmu1094564137 |
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Source | ||
Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
Licensing[edit]
Public domainPublic domainfalsefalse |
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
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This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. |
https://creativecommons.org/publicdomain/mark/1.0/PDMCreative Commons Public Domain Mark 1.0falsefalse
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current | 14:53, 23 July 2020 | 1,275 × 1,650, 108 pages (1.51 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection optimizationofmu1094564137 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #24096) |
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Short title | OPTIMIZATION OF MULTI-JUNCTION SOLAR CELL FOR SPACE APPLICATIONS MODELED WITH RUBY, MATLAB, AND SILVACO |
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Image title | |
Author | Allen, Tony Jr. |
Software used | Allen, Tony Jr. |
Conversion program | Adobe PDF Library 11.0 |
Encrypted | no |
Page size | 612 x 792 pts (letter) |
Version of PDF format | 1.4 |