Performance enhancement of PV generator using a sensor based dual axis solar tracking system in Algeria
Dublin Core
Title
Performance enhancement of PV generator using a sensor based dual axis solar tracking system in Algeria
Subject
Electric actuator
Light dependent resistor sensor
Photovoltaic system
Renewable energy
Solar tracking system
Light dependent resistor sensor
Photovoltaic system
Renewable energy
Solar tracking system
Description
This article presents the implementation of a two-axis solar tracking system and its impacts to increase the performance of the photovoltaic system in northern Algeria. The system enhances the efficiency of solar systems by optimizing their exposure to sunlight making the sunbeam perpendicular to solar panel. The main objective of the study is to develop a technically proficient and economically viable solution to increase solar energy production. The design relies on integrating light sensors and motors controlled by an Arduino board, enabling automatic adjustment of solar panel positions. This approach offers dynamic and precise orientation, based on light dependent resistor (LDR) sensor design and threshold value, resulting in a significant increase in energy output. The results show that the dual-axis solar tracking system can capture 60.64% more solar energy, taking into account the power consumption of the two electric actuators. The findings of this study will positively influence the promotion of clean and sustainable energy sources while providing a practical solution for more efficient utilization of solar energy in Algeria.
Creator
Sakina Atoui1, Harb Hadjer2, Belaïd Abdelghani2
Source
Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
Oct 19, 2025
Contributor
PERI IRAWAN
Format
PDF
Language
ENGLISH
Type
TEXT
Files
Collection
Citation
Sakina Atoui1, Harb Hadjer2, Belaïd Abdelghani2, “Performance enhancement of PV generator using a sensor based dual axis solar tracking system in Algeria,” Repository Horizon University Indonesia, accessed January 11, 2026, https://repository.horizon.ac.id/items/show/10374.