Introduction of grand solar belt of America : combinatorial optimization using genetic algorithms
Abstract
The world has an imperative need to switch to clean and renewable energy sources. Effectively harnessing the vast energy that radiates on the earth's surface from the sun is a long standing goal of clean energy proponents. This work introduces the novel concept of a solar energy belt stretched across America. The thesis provides the first steps towards showing that not only can such a belt be built, but it can effectively yield a substantial quantity of America's energy in a cost effective fashion.
In order to maximize impact of the work, a general mathematical model is first derived that may be extended by any interested party. The model is then viewed from the perspective of mathematical combinatorics and is thus made subject to combinatorial optimization. Genetic Algorithms are used for this optimization scheme. A GUI and simulation is provided that demonstrates the evolution of the solar belt solution in real-time. Results are demonstrated.
Notes
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Thesis Completion
2009
Semester
Spring
Advisor
Batarseh, Issa
Degree
Bachelor of Science (B.S.)
College
College of Engineering and Computer Science
Degree Program
Electrical Engineering and Computer Science
Subjects
Dissertations, Academic -- Sciences;Sciences -- Dissertations, Academic
Format
Identifier
DP0022351
Language
English
Access Status
Open Access
Length of Campus-only Access
None
Document Type
Honors in the Major Thesis
Recommended Citation
Miguez, Roberto;, "Introduction of grand solar belt of America : combinatorial optimization using genetic algorithms" (2009). HIM 1990-2015. 840.
https://stars.library.ucf.edu/honorstheses1990-2015/840