Implementasi smart monitoring berbasis internet of things pada instalasi PLTS ON-Grid 1KWP penyuplai energi peralatan listrik rumah tangga

Tetuko, Nanak Cito (2022) Implementasi smart monitoring berbasis internet of things pada instalasi PLTS ON-Grid 1KWP penyuplai energi peralatan listrik rumah tangga. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penghematan penggunaan listrik dapat dilakukan dengan memanfaatkan energi baru terbarukan seperti Pembangkit Listrik Tenaga Surya (PLTS) on-grid yang dapat membantu mengurangi tagihan listrik bulanan. Namun, diperlukan juga sistem monitoring penggunaan energi pada beban yang berfungsi sebagai pemantau dan pembatas untuk mencegah adanya pemborosan energi listrik, karena sistem PLTS on-grid masih terhubung dan memanfaatkan jaringan listrik utama (PLN). Pada sistem smart monitoring terdapat sistem perencanaan biaya penggunaan energi listrik PLN yang dapat disesuaikan dengan anggaran belanja rumah tangga oleh pengguna. Apabila penggunaan energi listrik sudah mencapai 50% dari target anggaran, akan terdapat notifikasi pada software smart monitoring, dan apabila penggunaan listrik sudah melebihi target anggaran, akan terdapat sistem kontrol cut-off yang memutus aliran listrik yang menuju ke beban. Sistem PLTS disimulasikan pada software HelioScope dan diimplementasikan di rooftop Departemen Teknik Instrumentasi ITS dengan kapasitas 1 kWp. Sistem smart monitoring ini menggunakan sensor PZEM-004T untuk mengukur daya dan energi dari sumber listrik PLTS dan PLN yang dikirimkan ke ESP32 sebagai pemrosesan data dan kemudian dikirim ke database melalui jaringan internet sehingga sistem monitoring dapat diakses melalui software Android. Pada fitur sistem smart monitoring terdapat sistem perencanaan target anggaran, history penghasilan dan pemakaian energi, serta sistem kontrol cut-off. Berdasarkan hasil simulasi HelioScope, sistem PLTS yang dirancang dapat menghasilkan energi per tahun sebesar 1790,3 kWh dan didapatkan sumber losses terbesar berupa shading sebesar 23,3%. Berdasarkan hasil pengujian riil dalam satu hari, sistem PLTS menghasilkan nilai daya tertinggi sebesar 348,2 Watt dan total energi dalam satu hari sebesar 1,395 kWh. Selain itu, didapatkan nilai akurasi pengukuran daya dari kedua sensor PZEM-004T sebesar 99,05% dan nilai akurasi pengukuran frekuensi sebesar 100%. Terdapat rata-rata delay pengiriman data dari mikrokontroler ke database sebesar 0,8 s.
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Saving electricity can be achieved by utilizing renewable energy sources such as a grid-connected Solar Power Plant (PLTS), which can help reduce monthly electricity bills. However, an energy monitoring system for the electrical load is also required to monitor and limit energy consumption and prevent electricity wastage, as the grid-connected solar power plant system remains connected to and utilizes the utility grid (PLN). The smart monitoring system includes a planning feature for PLN electricity costs that can be adjusted to the household budget set by the user. If electricity consumption reaches 50% of the planned budget, a notification will be displayed on the smart monitoring software. If electricity consumption exceeds the budget target, a cut-off control system will disconnect the electricity supply to the load. The solar power plant system was simulated using HelioScope software and implemented on the rooftop of the Instrumentation Engineering Department building with a capacity of 1 kWp. This smart monitoring system uses PZEM-004T sensors to measure power and energy from the PLTS and PLN electricity sources. The measurement data are sent to an ESP32 for data processing and then transmitted to a database via the internet, allowing the smart monitoring system to be accessed through an Android application. The smart monitoring system features a budget target planning system, income and energy consumption history, and a cut-off control system. Based on the HelioScope simulation results, the designed PLTS system can generate 1,790.3 kWh of energy annually, with shading being the largest source of losses at 23.3%. Based on the actual one-day test results, the solar power plant system produced a maximum power of 348.2 watts and total daily energy of 1.395 kWh. The power measurement accuracy of the two PZEM-004T sensors was 99.05%, while the frequency measurement accuracy was 100%. The average delay in transmitting data from the microcontroller to the database was 0.8 s.

Item Type:	Thesis (Other)
Additional Information:	629.83 Tet i-1
Uncontrolled Keywords:	Energi Baru Terbarukan, Internet of Things, Monitoring, PLTS On-grid., Grid Connected Solar Panel, Internet of Things, Monitoring, Renewable Energy
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control.
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	magang .
Date Deposited:	05 Oct 2026 03:31
Last Modified:	05 Oct 2026 03:31
URI:	http://repository.its.ac.id/id/eprint/145242

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