Rancang Bangun Solar Tracker Menggunakan Esp32 Dilengkapi Monitoring Berbasis Internet Of Things (IoT)

Fauzan, Fauzan and ., Agus Supardi, S.T.,M.T (2025) Rancang Bangun Solar Tracker Menggunakan Esp32 Dilengkapi Monitoring Berbasis Internet Of Things (IoT). Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

Sunlight is a renewable natural resource that can be converted into electrical energy by utilizing solar panels. The current development in the use of solar panels has significantly increased. However, in their application, many solar panels are still positioned in a monotonous fixed direction, resulting in suboptimal sunlight absorption and less-than-maximum output. This research aims to improve sunlight absorption and maximize the output of solar panels by using a method that follows the sun's movement, ensuring the solar panels are always perpendicular to the sun. This method is implemented in a solar tracker device using an ESP32 equipped with Internet of Things (IoT)-based monitoring, enabling it to follow the sun's direction. The device employs a PZEM017 current and voltage sensor, a BH1750 light intensity sensor for real-time monitoring via the Blynk application, and a servo motor as the solar panel actuator. Before data collection, the sensors used were calibrated, resulting in average errors of 2.59% for current, 0.21% for voltage, 2.79% for power, and 1.16% for light intensity. Data collection was conducted every hour from 08:00 to 15:00 WIB over two days under cloudy and overcast weather conditions. Based on the solar tracking system test results, the average values obtained on the first day were 0.54 Amperes for current, 17.70 Volts for voltage, and 9.69 Watts for power. On the second day, the average values were 0.91 Amperes for current, 19.33 Volts for voltage, and 17.71 Watts for power. For the non-tracking system, the average values on the first day were 0.47 Amperes for current, 17.01 Volts for voltage, and 7.95 Watts for power. On the second day, the average values were 0.85 Amperes for current, 18.74 Volts for voltage, and 15.63 Watts for power. This study reveals that the solar tracker system, which can follow the sun's movement, results in higher solar panel output compared to the non-tracking system, thereby optimizing the panel's performance.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Solar panel, ESP32, Internet of Things (IoT), Blynk, solar tracker
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK01 Weak flow
Divisions:	Fakultas Teknik > S1 Teknik Elektro
Depositing User:	Unnamed user with username d400200158
Date Deposited:	10 Feb 2025 04:04
Last Modified:	10 Feb 2025 04:04
URI:	http://eprints.ums.ac.id/id/eprint/131720

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