Baihaqi, Ahmad (2023) Rancang Bangun Smart Monitoring System Pada Hybrid PV-Wind Energy Menggunakan ESP32 Berbasis Aplikasi Android untuk Lampu Penerangan Jalan Umum. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sumber daya baru terbarukan perlu digalakkan demi memenuhi kebutuhan terutama dalam hal sumber listrik. Penerapan PV dan turbin angin menjadi salah satu contohnya. Penggabungan dua sumber tersebut menjadi hybrid dilakukan pada penelitian ini. Sebagai pemaksimalan pemanfaatan energi matahari, sistem solar tracker diterapkan. Menjadi persoalan utama untuk melakukan pemantauan kinerja pembangkit bersumber hybrid yang dilengkapi penjejak matahari. Maka dibangunlah sistem yang mampu melakukan pemantauan berbasis IoT (internet of things) dan aplikasi android sebagai alat untuk mempermudah akses pemantauan. Menjadi penting suatu sistem yang dibangun memenuhi standar. Maka diujilah sistem yang dibangun dari aspek karakteristik sensor berupa ketidakpastian pengukuran, linearitas, presisi, dan akurasi serta performansi jaringan sistem. Didapatkan hasil uji sensor suhu untuk nilai hasil kalibrasi, linieritas, presisi, dan akurasi berturut-turut adalah ±0.7 ºC, 0.99, 100% , dan 0.49%. Untuk sensor anemometer nilai hasil kalibrasi, linieritas, presisi, dan akurasi berturut-turut adalah ±0.2 m/s, 0.99, 100%, dan 98%. Untuk sensor lux nilai hasil kalibrasi, linieritas, presisi, dan akurasi berturut-turut adalah ±5.2 lux, 0.95, 100% , dan 99.9%. Dan untuk sensor tekanan udara nilai hasil kalibrasi, linieritas, presisi, dan akurasi berturut-turut adalah ±0.4 psi, 0.99, 100%, dan 98.7%. Sedangkan hasil uji performansi jaringan sistem didapatkan nilai delay dan packet loss sebesar 52.57ms dan 0.4%. Dari hasil tersebut menunjukkan bahwa karakteristik sensor memenuhi standar yang ditentukan serta performansi jaringan memiliki indeks 4 yang berarti sangat baik.
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Renewable resources need to be encouraged to meet needs, especially in terms of electricity sources. The application of solar panels and wind turbines is one example. Combining these two sources into a hybrid was carried out in this study. To maximize the utilization of solar energy, a solar tracker system is applied. It is a major problem to monitor the performance of hybrid-sourced generators equipped with sun trackers. So a system capable of monitoring based on IoT (internet of things) and Android applications was built as a tool to facilitate monitoring access. It is important that a system that is built meets the standards. Then tested the system built from the sensor characteristic aspects in the form of measurement uncertainty, linearity, precision, and accuracy as well as system network performance. The temperature sensor test results for calibration, linearity, precision, and accuracy values were ±0.7 ºC, 0.99, 100%, and 0.49%, respectively. For anemometer sensors, the values for calibration, linearity, precision, and accuracy are ±0.2 m/s, 0.99, 100%, and 98%, respectively. For the lux sensor, the values for calibration, linearity, precision, and accuracy are ±5.2 lux, 0.95, 100%, and 99.9%, respectively. And for the air pressure sensor the values for calibration, linearity, precision, and accuracy are ±0.4 psi, 0.99, 100%, and 98.7%, respectively. Meanwhile, the system network performance test results obtained delay and packet loss values of 52.57ms and 0.4%. The results show that the sensor characteristics meet the specified standards and the network performance has an index of 4 which means very good.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Internet of Things, Karakteristik Sensor, Ketidakpastian Pengukuran, Performansi Jaringan, Solar Tracker, Network Performance, Sensor Characteristics |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Ahmad Baihaqi |
| Date Deposited: | 27 Jul 2023 02:58 |
| Last Modified: | 27 Jul 2023 02:58 |
| URI: | http://repository.its.ac.id/id/eprint/99907 |
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