Solar tracker using Arduino microcontroller and light dependent resistor

This paper presents a dual-axis solar tracker using Arduino and LDRs. The aim of the proposed paper is to enhance the competence of solar energy harvesting by developing an intelligent solar tracking system. This system employs light-dependent resistors (LDRs) as sensors to detect ambient light levels, enabling precise adjustments of solar panels along both azimuth and elevation axes. The Arduino microcontroller serves as the intellect of the system, orchestrating the synchronized movement of dual-axis servo motors to align solar panels optimally with the sun's point during the day. The core functionality of the solar tracker involves real-time monitoring of LDR readings to calculate the solar azimuth and elevation angles. These angles are then used to situation the solar panels dynamically, ensuring they are constantly oriented near the sun for maximum energy absorption. The implementation of the dual-axis solar tracker using Arduino and LDRs offers several advantages, including increased energy output, better system efficiency, and a reduction in dependency on fixed solar installations. The low-cost and adaptable nature of the proposed system makes it suitable for various applications, such as residential solar installations, off-grid power systems.

Authors

Institutions

Publication Details

Journal
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Published
2025-02-12
DOI
https://doi.org/10.11591/ijpeds.v16.i1.pp70-75
Citations
1
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Solar tracker using Arduino microcontroller and light dependent resistor

Shabbier Ahmed Sydu, Mulla Gouse Basha, Eswaraiah Giddalur, Vadthya Jagan et al.
1 citations
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Solar Radiation and Photovoltaics
2.48
article

Solar tracker using Arduino microcontroller and light dependent resistor

Shabbier Ahmed Sydu, Mulla Gouse Basha, Eswaraiah Giddalur, Vadthya Jagan, Kalagotla Chenchireddy, Waseem Sultana
article en
1 citations

Abstract

This paper presents a dual-axis solar tracker using Arduino and LDRs. The aim of the proposed paper is to enhance the competence of solar energy harvesting by developing an intelligent solar tracking system. This system employs light-dependent resistors (LDRs) as sensors to detect ambient light levels, enabling precise adjustments of solar panels along both azimuth and elevation axes. The Arduino microcontroller serves as the intellect of the system, orchestrating the synchronized movement of dual-axis servo motors to align solar panels optimally with the sun's point during the day. The core functionality of the solar tracker involves real-time monitoring of LDR readings to calculate the solar azimuth and elevation angles. These angles are then used to situation the solar panels dynamically, ensuring they are constantly oriented near the sun for maximum energy absorption. The implementation of the dual-axis solar tracker using Arduino and LDRs offers several advantages, including increased energy output, better system efficiency, and a reduction in dependency on fixed solar installations. The low-cost and adaptable nature of the proposed system makes it suitable for various applications, such as residential solar installations, off-grid power systems.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer EngineeringVol. 16(1)
Jawaharlal Nehru Technological University, Hyderabad (IN), Chaitanya Bharathi Institute of Technology (IN), Mahaveer Academy of Technology and Science University (IN), University of Technology and Applied Sciences - Al Mussanah (OM)
Openalex Percentile: Top 12%
Solar Radiation and Photovoltaics
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.