Pramesrani, Dyah Rahmania (2018) Perancangan Solar Tracker Dua Sumbu Berbasis Optoelectrical Tracking Menggunakan Kontroler Hybrid Fuzzy-Genetic Algorithm. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Salah satu cara untuk mengoptimalkan daya keluaran yang dihasilkan panel surya adalah menambah sistem solar tracker pada panel surya. Solar tracker merupakan sistem yang berfungsi sebagai penggerak panel surya untuk mengikuti arah pergerakan matahari agar selalu tegak lurus terhadap matahari. Sistem solar tracker terdiri dari sensor, kontroler, motor DC dan panel surya. Sistem solar tracker aktif dua sumbu menggunakan sensor LDR yang berfungsi untuk menangkap kuat pencahayaan matahari yang diterima panel surya berjumlah 4 buah mewakili arah Utara, Selatan, Timur dan Barat. Panel surya bergerak pada dua sudut yaitu yaw dan pitch. Penelitian ini menggunakan kontroler fuzzy yang dioptimasi dengan genetic algorithm. Hasil uji menunjukkan bahwa sistem kontrol hybrid fuzzy genetic algorithm dapat diterapkan pada sistem solar tracker aktif dua sumbu dengan indeks performansi terbaik menggunakan 3 fungsi keanggotaan. Pada sudut pitch (70o) memiliki indeks performansi tegangan LDR Barat terhadap LDR Timur sebesar tr = 0.23 s, ts = 1.05 s, Mov = 0% dan ess = 0.02%, serta pada sudut yaw (80o) memiliki indeks performansi tegangan keluaran LDR Selatan terhadap LDR Utara sebesar tr = 5.37 s, ts = 22.16 s, Mov = 0%, ess = 0.1%. Peningkatan efisiensi energi yang dicapai oleh mobile active solar tracker sebesar 62.15%.
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One of solutions to optimize the output power of solar panel is to add solar tracker system in solar panel. Solar tracker is a system that can move a solar panel to follow the direction of the sun to always perpendicular to the sun. The solar tracker system consists of sensors, controller, DC motors and solar panel. Two-axis active solar tracker system uses LDR sensors to capture the light intensity received by solar panel, it uses 4 sensors representing the North, South, East and West direction. Solar panel moves at two directions: yaw and pitch. This research uses fuzzy controller which is optimized by genetic algorithm. The test results show that the hybrid fuzzy genetic algorithm control system can be applied to active two-axis solar tracker system with the best performance index using 3 membership functions. Pitch angle at 70o has performance index of West voltage LDR against East voltage LDR of tr = 0.23 s, ts = 1.05 s, Mov = 0%, ess = 0.02%, and yaw angle at 80o has performance index of South voltage LDR against North voltage LDR of tr = 5.37 s, ts = 22.16 s, Mov = 0% and ess = 0.1%. Increased energy efficiency generated by mobile active solar tracker is 62.15%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Solar tracker, Solar Tracker Aktif, Kontrol Logika Fuzzy, Genetic Algorithm |
| Subjects: | Q Science > QA Mathematics > QA402.5 Genetic algorithms. Interior-point methods. Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TJ Mechanical engineering and machinery > TJ810.5 Solar energy |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Dyah Rahmania Pramesrani |
| Date Deposited: | 25 Jun 2021 10:23 |
| Last Modified: | 25 Jun 2021 10:23 |
| URI: | http://repository.its.ac.id/id/eprint/55292 |
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