Arizqi, Fitria Shinta (2024) Perancangan Sistem Monitoring dan Safety untuk Sistem Mibile Hybrid PV-Wind Turbine berbasis IoT. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Energi terbarukan diperlukan untuk mengurangi pemanasan global dan meningkatnya
kebutuhan bahan bakar fosil. Sistem mobile hybrid pv-wind turbine menawarkan potensi
untuk memaksimalkan pemanfaatan sumber daya energi terbarukan dengan keunggulan
mobilitas dan flesibilitas. Sistem dilengkapi dengan solar tracker sebagai pengomtimal
pemanenan energi matahari. Perlu adanya pemantauan kinerja sistem sehingga dilakukan
perancangan sistem monitoring berbasis IoT (Internet of Things) yang dihubungkan melalui
protokol komunikasi dan platform Blynk yang dilengkapi dengan sistem safety, yaitu
pemantauan suplai daya baterai, pendeteksi kerusakan pada sensor LDR dan pendeteksi
anomali getaran pada power plant pada sistem hybrid pv-wind turbine. Untuk mendapatkan
sistem pemantauan yang sesuai standar, dilakukan pengujian sistem dari aspek karakteristik
sensor, yaitu mencakup nilai nilai hasil rata-rata pembacaan sensor, pembacaan alat ukur
standar, tingkat kepercayaan, faktor cakupan, dan ketidakpastian diperluas serta performansi
jaringan sistem. Hasil karakterisasi sensor arus berturut-urut yaitu 1.93 A, 2.00 A, 95%, 2.33,
±0.10 A. Untuk sensor tegangan berturut-urut yaitu 13.1 V, 95%, 2.17, ±0.03 V. Untuk sensor
percepatan berturut-urut yaitu 2.81 m/s^2, 2.76 m/
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Renewable energy is needed to reduce global warming and the increasing need for fossil
fuels. The mobile hybrid PV-wind turbine system offers the potential to maximize the
utilization of renewable energy resources with the advantages of mobility and flexibility. The
system is equipped with a solar tracker as an optimizer of solar energy harvesting. There is a
need for system performance monitoring so that an IoT (Internet of Things)-based monitoring
system is designed which is connected via a communication protocol and the Blynk platform
equipped with a safety system, namely battery power supply monitoring, damage detectors on
LDR sensors, and vibration anomaly detectors on power plants in the hybrid PV-wind turbine
system. To obtain a monitoring system that meets standards, system testing is carried out from
the aspect of sensor characteristics, which includes the average value of sensor readings,
standard measuring instrument readings, confidence levels, coverage factors, and expanded
uncertainty and system network performance. The results of the current sensor characterization
are 1.93 A, 2.00 A, 95%, 2.33, ±0.10 A. For the voltage sensor, the results are 13.1 V, 95%,
2.17, ±0.03 V. For the acceleration sensor, the results are 2.81 m/
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Internet of Things, Monitoring, Network Performance, Sensor Characteristics, Internet of Things, Karakteristik Sensor, Monitoring, Performansi Jaringan |
| Subjects: | T Technology > T Technology (General) > T58.5 Information technology. IT--Auditing T Technology > T Technology (General) > T58.62 Decision support systems T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors T Technology > TA Engineering (General). Civil engineering (General) > TA169.5 Failure analysis |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Fitria Shinta Arizqi |
| Date Deposited: | 04 Aug 2024 12:46 |
| Last Modified: | 04 Aug 2024 12:46 |
| URI: | http://repository.its.ac.id/id/eprint/110358 |
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