Abyrahman, Bramasta Ghozi (2022) Rancang Bangun Passive Solar Tracker Satu Sumbu Remotly Berbasis IoT. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Photovoltaic (PV) adalah device yang memiliki kemampuan untuk mengubah energi matahari ke energi listrik. Terdapat cara yang paling populer untuk meningkatkan kinerja pada PV yakni menambahkan teknologi penjejak matahari (solar tracker). Adapun 2 metode solar tracker yakni pasif dan aktif, pada penelitian ini berfokus pada metode pasif dimana sudut kemiringan pada PV dihitung menggunakan perhitungan astronomi. Perbedaan pada penelitian terdahulu adalah sudut kemiringan pv dapat diatur melalui Handphone ̧ memiliki fungsi jika sistem Tracker rusak dapat digantikan terlebih dahulu menggunakan sistem ini. Pada penelitian ini menggunakan sensor INA219 untuk mengukur arus, tegangan, dan daya pada keluaran pv serta menggunakan sensor GY52 MPU 6050 untuk mengukur kemiringan pada pv. Adapun hasil yang didapat dari penelitian ini adalah nilai akurasi dari sensor INA219 adalah 98,67% untuk tegangan dan 97,67% untuk arus dan terdapat error sebesar 1,33% untuk tegangan dan error sebesar 2,33% untuk nilai arus. Terdapat juga nilai akurasi dari sensor GY52MPU6050 adalah 99,6% dan error sebesar 0,4%. Dilakukan juga IoT dimana jika nilai arus semakin besar maka delay yang terjadi juga semakin tinggi. Terdapat juga peningkatan performansi antara fixed based dan tracker adalah sebesar 21% di kondisi cerah, 15% di kondisi mendung.
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Photovoltaic (PV) is a device that has the ability to convert solar energy into electrical energy. The most popular way to improve performance in PV is to add solar tracker technology. There are 2 solar tracker methods, namely passive and active, in this study focuses on the passive method where the slope angle of the PV is calculated using astronomical calculations. The difference in previous research is that the pv tilt angle can be adjusted via cellphone, it has a function if the Tracker system is damaged it can be replaced first using this system. In this study, the INA219 sensor is used to measure current, voltage, and power at the pv output and the GY52 MPU 6050 sensor is used to measure the pv slope. The results obtained from this study are the accuracy value of the INA219 sensor is 98.67% for voltage and 97.67% for current and there is an error of 1.33% for voltage and an error of 2.33% for current values. There is also an accuracy value of the GY52MPU6050 sensor which is 99.6% and an error of 0.4%. An IoT test is also carried out where if the current value is greater, the delay that occurs is also higher. There is also an increase in performance between fixed based and tracker by 21% in sunny conditions, 15% in cloudy conditions.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSIn 621.312 44 Aby r-1 2022 |
| Uncontrolled Keywords: | solar Tracker, INA219, GY52 MPU605 |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2960 Dye-sensitized solar cells. Solar batteries. Solar cells |
| Divisions: | Faculty of Vocational > Instrumentation Engineering |
| Depositing User: | Anis Wulandari |
| Date Deposited: | 06 Mar 2023 02:48 |
| Last Modified: | 01 Oct 2024 03:40 |
| URI: | http://repository.its.ac.id/id/eprint/95544 |
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