College - Author 1
College of Engineering
Department - Author 1
Electrical Engineering Department
Degree Name - Author 1
BS in Electrical Engineering
College - Author 2
College of Engineering
Department - Author 2
Electrical Engineering Department
Degree - Author 2
BS in Electrical Engineering
College - Author 3
College of Engineering
Department - Author 3
Electrical Engineering Department
Degree - Author 3
BS in Electrical Engineering
Date
6-2020
Primary Advisor
Dale Dolan, College of Engineering, Electrical Engineering Department
Abstract/Summary
Photovoltaic systems generate more energy when orthogonally facing the sun where solar cells absorb the most light. By creating an effective, autonomous solar tracking system, the developed solar panels consistently generate maximum energy while using less power. Dual axis solar trackers surpass single axis trackers in energy generation, however, their cost and reliability provide a significant drawback. This project develops different algorithmic implementations designed to provide optimal and efficient behavior for photovoltaic systems. These algorithms adjust the solar panel’s position appropriately with the sun’s location, weather conditions, and selected operating modes. The solar tracking system’s operations include latitudinal axis capability , longitudinal axis capability , dual axis capability, manual or demo mode, and a reset mode setting the panels flat parallel to the ground.
URL: https://digitalcommons.calpoly.edu/eesp/497