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.

html

Disciplines

Power and Energy

Keywords

Solar energy; Nanotechnology

Upload File

wf_no

This document is currently not available here.

Share

COinS