Iot Device (comparison Between Fixed and Dual Axis Solar Tracker)

Student: Joshua Tweguchukwu Osaenweife (Project, 2025)
Department of Mechanical Engineering
Federal University of Petroleum Resources, Effurun, Delta State

Abstract

This report investigates the application of Internet of Things (IoT) to fixed solar panel systems, outlining a comprehensive methodology for creating a cost-effective solution using Blynk software, a Node MCU ESP8266 microcontroller and sensor-based data collection. The approach emphasizes real-time monitoring of key performance indicators such as power consumption, voltage, current, and solar intensity. Additionally, the report compares IoT-enabled fixed panel systems with dual-axis solar tracking systems. While dual-axis trackers optimize energy capture by following the sun's movement, they come with higher costs, increased complexity, and greater maintenance requirements. In contrast, fixed panel systems enhanced with IoT provide a scalable, low-maintenance alternative that leverages data analytics to optimize performance, reduce operational costs, and predict maintenance needs, striking a balance between cost-effectiveness and operational efficiency, making it a viable alternative to more complex solar tracking solutions for both residential and commercial applications.

Keywords
device comparison fixed solar tracker
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