CD Tesis

berbasis mikrokontroler esp32 dan integrasi iot untuk meningkatkan produksi energi

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The global energy crisis and the increasing demand for clean and sustainable
energy sources have driven the development of more efficient and intelligent solar
energy technologies. One of the main limitations of conventional photovoltaic (PV)
panels is their relatively low energy absorption efficiency due to their fixed
orientation, which prevents the panel from continuously facing the sun throughout
the day. Therefore, this research aims to design and implement an automated Dual-
Axis Solar Tracker system based on an ESP32 microcontroller with Internet of
Things (IoT) integration to optimize solar irradiance capture and enhance PV
energy conversion efficiency. This study also serves as a reference for the
development of smart and efficient renewable energy systems.
An experimental method was employed by designing and testing a Dual-Axis Solar
Tracker prototype controlled using a Fuzzy Logic algorithm. The system consists
of Light Dependent Resistor (LDR) sensors for irradiance detection, servo motors
as dual-axis actuators (azimuth and altitude), and IoT connectivity for real-time
remote monitoring via the Blynk application. Experimental testing was conducted
on a 30 Wp monocrystalline PV panel over a ten-day period in an open-area
environment. The measured parameters included solar irradiance, voltage, current,
output power, daily energy production, and control system energy consumption,
which were subsequently analyzed to evaluate net energy efficiency and tracking
system performance.
The results demonstrate that the ESP32-based Dual-Axis Solar Tracker with IoT
integration was successfully implemented and operated with stable and responsive
tracking performance. The application of the solar tracking system significantly
improved PV panel efficiency, with daily efficiency values ranging from 8.91% to
13.17%, achieving optimal performance at a maximum solar irradiance of 745.78
W/m². Compared to a fixed-mounted 30 Wp PV panel with an average efficiency of
approximately 5,17%, the proposed solar tracker system provides a substantial
improvement in solar energy utilization. The control system’s energy consumption
was relatively low, at approximately 6.34 Wh per day, representing only 4–6% of
the total energy generated, resulting in a considerable net energy gain. IoT
integration enables real-time monitoring of PV electrical parameters remotely.
However, based on the economic analysis and Break Even Point (BEP) calculation,
the implementation of a solar tracker system on a 30 Wp PV panel is not yet
economically feasible. Therefore, the proposed Dual-Axis Solar Tracker is more
suitable for medium- to large-scale PV systems, with the minimum economically
viable PV capacity estimated to be approximately 70 Wp.
Keywords : Solar Tracker, Dual

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2310246319

Penerbit

Pekanbaru - : UNRI – PASCA – Magister Teknik Mesin., 2026

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2310246319

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Magister Teknik Mesin

Info Detail Spesifik

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Pernyataan Tanggungjawab

Rahmat

Versi lain/terkait

Lampiran Berkas

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