Hybrid Weather Station and Solar Tracking System for Renewable Energy Optimization

The suggested technology increases solar energy collecting efficiency by combining dual-axis sun tracking with weather monitoring. To maximise sunshine exposure all during the day, the system automatically orient solar panels along the azimuth (horizontal) and elevation (vertical) axes. An Arduino microcontroller forms the core control unit by processing real-time data from environmental sensors like DHT11 (Temperature and Humidity) and Rain Sensors. Furthermore, utilized to detect the strength of the sunlight and modify the location of the solar panel are light-dependent resistors (LDRs). Servo motors run the tracking system; they enter sleep mode while solar intensity stays constant, lowering power usage. A 12V battery charging mechanism is also part of the system to save the created electricity for continuous running. Offering an 8% energy efficiency gain and operating cost savings, the twin-axis solar tracker significantly boosts energy production over fixed solar panels, according to trial data. This study emphasizes the possibility of using intelligent control systems and renewable energy technology for environmentally friendly purposes.

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Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/ictmim65579.2025.10988424
Primary Topic
Solar Radiation and Photovoltaics
Type
article
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article

Hybrid Weather Station and Solar Tracking System for Renewable Energy Optimization

B. Ravi Chandra, Ajay Roy, I Sharath Chandra, Mundanattu Swetha et al.
Solar Radiation and Photovoltaics
article

Hybrid Weather Station and Solar Tracking System for Renewable Energy Optimization

B. Ravi Chandra, Ajay Roy, I Sharath Chandra, Mundanattu Swetha, M. Deepika, Padakandla Sreelekha
article en

Abstract

The suggested technology increases solar energy collecting efficiency by combining dual-axis sun tracking with weather monitoring. To maximise sunshine exposure all during the day, the system automatically orient solar panels along the azimuth (horizontal) and elevation (vertical) axes. An Arduino microcontroller forms the core control unit by processing real-time data from environmental sensors like DHT11 (Temperature and Humidity) and Rain Sensors. Furthermore, utilized to detect the strength of the sunlight and modify the location of the solar panel are light-dependent resistors (LDRs). Servo motors run the tracking system; they enter sleep mode while solar intensity stays constant, lowering power usage. A 12V battery charging mechanism is also part of the system to save the created electricity for continuous running. Offering an 8% energy efficiency gain and operating cost savings, the twin-axis solar tracker significantly boosts energy production over fixed solar panels, according to trial data. This study emphasizes the possibility of using intelligent control systems and renewable energy technology for environmentally friendly purposes.

G Pulla Reddy Dental College & Hospital (IN), University of Bisha (SA)
Affordable and clean energy
Openalex Percentile: Top 95%
Solar Radiation and Photovoltaics
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Hybrid Weather Station and Solar Tracking System for Renewable Energy Optimization — B. Ravi Chandra, Ajay Roy, et al. · (2025) | TGRS Research Map | TGRS