Designing a Data-Driven Dual-Axis Solar Tracker

Overview

Objectives/Goals The objective of this study is to design and build a Data-Driven Dual-Axis solar tracker and to test its output relative to that of a fixed panel. Methods/Materials Plywood, Raspberry Pi, Stepper Motors and Drivers. Programmed the apparatus to track the sun using longitude and time. Built a model to test the output of a Dual-Axis tracker relative to a fixed panel. Results A yearlong model was built to predict the output of a Data-Driven Dual-Axis relative to a fixed panel. It showed that the Dual-Axis solar tracker would generate 1.9 times more electricity over the course of 2018 in San Mateo County, CA. Results gathered on two 2018 days were consistent with the model's predictions. Conclusions/Discussion A Data-Driven Dual-Axis solar tracker was designed and built. In a model consistent with observations, it was predicted a Dual-Axis solar tracker would generate 90% more electricity than a fixed panel. Due to the reduced cost of a tracker without sensors, Data-Driven Dual-Axis solar trackers could reduce the payback period of solar by up to 40%.

Awards (1)

• First Place

Competition history

• CSEF 2018 Alternative Energy (Junior Division Only) · Entry J0208

Resources

• CSEF project summary ↗

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