Implementation of IoT-Enabled Automatic Solar Power Tracking System

In order to maximize the performance of solar panels, this paper outlines a systematic approach for creating a tracking system for solar power. The solar power tracking system is a hardware/software prototype that helps solar panels automatically align with the sun at the right time to generate the most electricity. Light Dependent Resistor (LDRs) sensors, solar panels, servo motor, and an Arduino UNO microprocessor are the main components included in this system. By increasing their exposure to sunlight throughout the entire day, the system improves the effectiveness and output of solar system. This study describes the solar panels' ability to detect the light and rotate in response to the sun's location. The solar power tracking system prototype has been designated for use in future. In the proposed setup, it is found that at 12:00 noon, the single-axis tracking system achieves approximately 63.64% higher output power efficiency compared to the fixed-tilt system.

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Published
2024-10-24
DOI
https://doi.org/10.1109/iccsc62048.2024.10830348
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
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article

Implementation of IoT-Enabled Automatic Solar Power Tracking System

Shubham Anjankar, Batta Malleswari, Abhishek Tripathi, Addepalli Kavya Sree et al.
Photovoltaic System Optimization Techniques
article

Implementation of IoT-Enabled Automatic Solar Power Tracking System

Shubham Anjankar, Batta Malleswari, Abhishek Tripathi, Addepalli Kavya Sree, Bhimavarapu Triveni, Alluru Rishitha
article en

Abstract

In order to maximize the performance of solar panels, this paper outlines a systematic approach for creating a tracking system for solar power. The solar power tracking system is a hardware/software prototype that helps solar panels automatically align with the sun at the right time to generate the most electricity. Light Dependent Resistor (LDRs) sensors, solar panels, servo motor, and an Arduino UNO microprocessor are the main components included in this system. By increasing their exposure to sunlight throughout the entire day, the system improves the effectiveness and output of solar system. This study describes the solar panels' ability to detect the light and rotate in response to the sun's location. The solar power tracking system prototype has been designated for use in future. In the proposed setup, it is found that at 12:00 noon, the single-axis tracking system achieves approximately 63.64% higher output power efficiency compared to the fixed-tilt system.

Kalasalingam Academy of Research and Education (IN)
Affordable and clean energy
Openalex Percentile: Top 84%
Photovoltaic System Optimization Techniques
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Implementation of IoT-Enabled Automatic Solar Power Tracking System — Shubham Anjankar, Batta Malleswari, et al. · (2024) | TGRS Research Map | TGRS