Development of a genetic algorithm-based optimization of a small scale dual-axis solar tracking system using nano watt technology
The solar module will be positioned first in North, East, West or South. Then, the PV array will automatically search and stop at the highest current gained by the solar cell. This will occur every 30 minutes from 0600H up to 1800H. In these positions the values of current, voltage and power were me...
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oai:animorepository.dlsu.edu.ph:faculty_research-72192022-07-15T02:27:17Z Development of a genetic algorithm-based optimization of a small scale dual-axis solar tracking system using nano watt technology Del Rosario, Jay Robert B. Dadios, Elmer P. The solar module will be positioned first in North, East, West or South. Then, the PV array will automatically search and stop at the highest current gained by the solar cell. This will occur every 30 minutes from 0600H up to 1800H. In these positions the values of current, voltage and power were measured. The design focuses on the application of genetic algorithm to capture the maximum power of the solar cells in a small farm setting with fan, incubator, aquarium pump motor and lightning. 2013-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/6290 Faculty Research Work Animo Repository Solar energy Nanotechnology Power and Energy |
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De La Salle University |
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De La Salle University Library |
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Asia |
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Philippines Philippines |
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De La Salle University Library |
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DLSU Institutional Repository |
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Solar energy Nanotechnology Power and Energy |
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Solar energy Nanotechnology Power and Energy Del Rosario, Jay Robert B. Dadios, Elmer P. Development of a genetic algorithm-based optimization of a small scale dual-axis solar tracking system using nano watt technology |
| description |
The solar module will be positioned first in North, East, West or South. Then, the PV array will automatically search and stop at the highest current gained by the solar cell. This will occur every 30 minutes from 0600H up to 1800H. In these positions the values of current, voltage and power were measured. The design focuses on the application of genetic algorithm to capture the maximum power of the solar cells in a small farm setting with fan, incubator, aquarium pump motor and lightning. |
| format |
text |
| author |
Del Rosario, Jay Robert B. Dadios, Elmer P. |
| author_facet |
Del Rosario, Jay Robert B. Dadios, Elmer P. |
| author_sort |
Del Rosario, Jay Robert B. |
| title |
Development of a genetic algorithm-based optimization of a small scale dual-axis solar tracking system using nano watt technology |
| title_short |
Development of a genetic algorithm-based optimization of a small scale dual-axis solar tracking system using nano watt technology |
| title_full |
Development of a genetic algorithm-based optimization of a small scale dual-axis solar tracking system using nano watt technology |
| title_fullStr |
Development of a genetic algorithm-based optimization of a small scale dual-axis solar tracking system using nano watt technology |
| title_full_unstemmed |
Development of a genetic algorithm-based optimization of a small scale dual-axis solar tracking system using nano watt technology |
| title_sort |
development of a genetic algorithm-based optimization of a small scale dual-axis solar tracking system using nano watt technology |
| publisher |
Animo Repository |
| publishDate |
2013 |
| url |
https://animorepository.dlsu.edu.ph/faculty_research/6290 |
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