Pengembangan Sistem Monitoring Energi Listrik Flywheel Generator

Wardani, Anisah Putri (2025) Pengembangan Sistem Monitoring Energi Listrik Flywheel Generator. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sistem monitoring energi listrik flywheel generator secara real-time pada teknologi flywheel permanent magnet generator masih belum tersedia dan masih dilakukan secara manual sehingga kurang efektif untuk pemantauan real-time. Penelitian ini bertujuan merancang sistem monitoring berbasis Internet of Things untuk memantau kualitas energi listrik pada input dan output flywheel generator secara real-time. Sistem monitoring ini memanfaatkan power meter FORT FCN300 dengan protokol Modbus sebagai komunikasi, Node-RED untuk pemrosesan dan visualisasi data, serta Firebase Realtime Database untuk penyimpanan cloud. Fitur unggulan pada sistem ini meliputi pencatatan data historis yang dapat diunduh user dan antarmuka web untuk akses jarak jauh. Hasil pengujian menunjukkan akurasi sistem di atas 97% dengan rata-rata error pembacaan antara antarmuka web dengan display power meter berkisar pada angka 0,15%-1,58% dan latensi antarmuka web 391 ms pada kondisi multi-user. Nilai-nilai ini mengindikasikan bahwa sistem yang dikembangkan memenuhi kriteria kinerja untuk aplikasi real-time. Dengan demikian, penelitian ini menghadirkan solusi inovatif untuk masalah pemantauan manual untuk optimasi pengelolaan energi pada flywheel generator.

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A real-time monitoring system for flywheel generators using permanent magnet flywheel generator technology is not yet available and is still done manually, making it less effective for real-time monitoring. This study aims to design an Internet of Things-based monitoring system to monitor the quality of electrical energy at the input and output of flywheel generators in real time. This monitoring system utilizes the FORT FCN300 power meter with the Modbus protocol as a communication, Node-RED for data processing and visualization, and Firebase Realtime Database for cloud storage. Key features of this system include historical data logging that can be downloaded by users and a web interface for remote access. Test results show system accuracy above 97%, with an average reading error between the web interface and the power meter display ranging from 0.15% to 1.58%, and web interface latency of 391 ms under multi-user conditions. These values indicate that the developed system meets performance criteria for real-time applications. Thus, this research presents an innovative solution to the problem of manual monitoring for energy management optimization in flywheel generators.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Kualitas Energi Listrik, Flywheel Permanent Magnet Generator, Monitoring Real-time, Protokol Modbus, Cloud Database, Electrical Energy Quality, Permanent Magnet Flywheel Generator, Real-time Monitoring, Modbus Protocol, Cloud Database.
Subjects:	T Technology > T Technology (General) > T57.5 Data Processing T Technology > TA Engineering (General). Civil engineering (General) > TA593.35 Instruments, cameras, etc. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2785 Electric motors, Induction. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK351 Electric measurements. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.888 Web sites--Design. Web site development.
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Anisah Putri Wardani
Date Deposited:	04 Aug 2025 04:50
Last Modified:	04 Aug 2025 04:50
URI:	http://repository.its.ac.id/id/eprint/126359

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