| Issue |
MATEC Web Conf.
Volume 331, 2020
International Conference on Urban Disaster Resilience (ICUDR 2019)
|
|
|---|---|---|
| Article Number | 06002 | |
| Number of page(s) | 8 | |
| Section | Instrumentation, Control System and Information Technology | |
| DOI | https://doi.org/10.1051/matecconf/202033106002 | |
| Published online | 09 December 2020 | |
Automatic dual-axis solar tracker system design
1 Departement of Electrical Engineering, Universitas Tadulako, 94118 Palu, Indonesia
2 Departement of Mechanical Engineering, Universitas Tadulako, 94118 Palu, Indonesia
* Corresponding author : nhanie.lieben@gmail.com
Sunlight is one of the energy that can be used to generate electricity. Converting solar energy into electrical energy required a device called Photo-Voltaic (PV). However, output of PV hardly depends on the position of PV to the sun. The maximum PV output will reach when the sun position perpendicular to the surface of PV. Therefore, the device that can track the position of PV is needed. The aim of this research is to design a track solar system using Arduino and LDR sensor to follow the sun movement. This method will be applied to a 80 Wp solar panel. The output of the tracker solar system was compared to the fixed PV. The result shows that the output voltage of the tracker solar system reached 18. 81 V that was higher than the fixed PV about 18,56 V and the output current of the tracker solar system reached 4,27 A that was higher than the fixed PV about 4,19 A.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.