Development of a genetic algorithm-based optimization of a small scale dual-axis solar tracking system using nano watt technology
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
6th International Conference Humanoid, Nanotechnology, Information Technology Communication and Control, Environment and Management (HNICEM)
Publication Date
2013
Abstract
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.
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Recommended Citation
Del Rosario, J. B., & Dadios, E. P. (2013). Development of a genetic algorithm-based optimization of a small scale dual-axis solar tracking system using nano watt technology. 6th International Conference Humanoid, Nanotechnology, Information Technology Communication and Control, Environment and Management (HNICEM) Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/6290
Disciplines
Power and Energy
Keywords
Solar energy; Nanotechnology
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