Labiba, Zulfa (2019) Perancangan Mobile Single Axis Solar Tracker (MSAST) Berbasis Aaptive Neuro Fuzzy Control (ANFUC). Other thesis, Institut Teknologi Sepuluh Nopember.
Preview |
Text
02311745000015-Undergraduate_Theses.pdf Download (3MB) | Preview |
Abstract
Metode untuk mengarahkan panel surya agar selalu mengikuti arah gerak matahari dikenal sebagai metode penjejakan arah gerak matahari (the method of tracking the sun). Alat yang digunakan untuk mengikuti arah gerak matahari dikenal sebagai solar tracker. Terdapat 2 jenis solar tracker yaitu solar tracker berbasis solar-path (pasif) dan solar tracker berbasis sensor (aktif). Pada penelitian kali ini mengkombinasikan metode aktif-pasif satu sumbu dalam penjejakannya yang bekerja secara bergantian ketika terjadi perubahan cuaca agar hasil yang didapat lebih optimal dan meningkatkan efisiensi energi sistem. Adapun controller yang digunakan pada sistem ini adalah Adaptive Neuro Fuzzy Control (ANFUC), Hasil uji menunjukan bahwa sistem kontrol ANFUC dapat diterapkan pada sistem solar tracker dengan indeks performansi pada sistem aktif tracker pada sudut pitch (60o) memiliki tr = 1,8 s, ts = 3,8 s, Mov = 0% dan ess = 0,016%, sedangkan pada pasif tracking memiliki indeks performansi dengan nilai tr = 1,08 s, ts = 1,32 s, Mov = 0% dan ess = 0,01%. Pada sistem ini terjadi peningkatan efisiensi gross energi gain sebesar 69,05%, sedangkan netto energi gain sebesar 66,43% selama 10 jam.
==============================================================================================================================
The method for directing the solar panel so that it is always in the direction of the sun is known as the tracking method Sun direction of motion (method of sun tracking). The tool used to follow the direction of solar motion is known as a solar tracker. There are 2 types of solar tracker, namely solar tracker based on solar-path (passive) and solar tracker sensors based (active). In this study, combining active-passive methods is one step in tracking which functions as a substitute for weather changes so that the results obtained are more optimal and improve the efficiency of the energy system. As the controller used in this system is Adaptive Neuro Fuzzy Control (ANFUC), the test results show the ANFUC control system can be applied to a solar tracking system with a performance index on an active tracking system at a pitch angle (60o) having tr = 1.8 s, ts = 3.8 s, Mov = 0% and ess = 0.016%, while passive tracking has a performance index with tr = 1.08 s, ts = 1.32 s, Mov = 0% and ess = 0.01% . In this system there was an increase in energy gross profit by 69.05%, while net energy rose by 66.43% for 10 hours.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | solar tracker, solar tracker pasif-aktif, Adaptive Neuro Fuzzy Control (ANFUC) |
| Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) T Technology > T Technology (General) > T57.62 Simulation |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | labiba zulfa anis |
| Date Deposited: | 13 Nov 2024 05:27 |
| Last Modified: | 13 Nov 2024 05:27 |
| URI: | http://repository.its.ac.id/id/eprint/69125 |
Actions (login required)
 |
View Item |