Performance Comparison of the Single Axis and Two-Axis Solar System using Adaptive Neuro-Fuzzy Inference System Controls
| Autor: | Jauharotul Maknunah, Chairul Imron, Imam Abadi, Ilham Amirul Akbar, Aep Saepul Uyun, Yusilawati Ahmad Nor |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Photodetector 02 engineering and technology Tracking (particle physics) photovoltaic Control theory 0202 electrical engineering electronic engineering information engineering Astrophysics::Solar and Stellar Astrophysics direct current motors performance index pitch lcsh:Environmental sciences lcsh:GE1-350 Adaptive neuro fuzzy inference system yaw business.industry 020208 electrical & electronic engineering Photovoltaic system Aircraft principal axes light sensors 020206 networking & telecommunications Tracking system Solar energy Renewable energy Physics::Space Physics Astrophysics::Earth and Planetary Astrophysics business |
| Zdroj: | E3S Web of Conferences, Vol 190, p 00005 (2020) |
| ISSN: | 2267-1242 |
| Popis: | Solar energy is one of the renewable energy that gets more attention from many countries. Solar photo voltaic (PV) takes the right position to get the maximum energy yield. The study was conducted by comparison of performance with two methods of tracking the sun with one axis and two axes by using ANFIS control (Adaptive Neuro-Fuzzy Inference System). The solar tracking system is a system that operates on the sun by using a light sensor and controls the photovoltaic to always perpendicular to the sun by changing the pitch and yaw axis of the sun tracing properties. LDR (Light Dependent Resistor) is one of the light sensors whose resistance changes depending on the intensity of incoming light. Direct current (DC )motor is used as a PV drive panel in a solar tracking system. A two-axis solar tracking system has a greater power output than a tracking system with a single photovoltaic panel that does not use a tracking system (fixed). |
| Databáze: | OpenAIRE |
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