E3S Web Conf.
Volume 190, 20201st International Conference on Renewable Energy Research and Challenge (ICoRER 2019)
|Number of page(s)||11|
|Published online||23 September 2020|
Performance Comparison of the Single Axis and Two-Axis Solar System using Adaptive Neuro-Fuzzy Inference System Controls
Department of Mathematic, Sepuluh Nopember Institute of Technology, Jl. Teknik Kimia, Surabaya 60111, East Java, Indonesia
2 Department of Engineering Physics, Sepuluh Nopember Institute of Technology, Jl. Teknik Kimia, Surabaya 60111, East Java, Indonesia
3 Department of Biochemical-Biotechnology Engineering, Kuliyyah of Engineering International Islamic University Malaysia (IIUM), Jl. Gombak, 53100, Selangor, Malaysia
4 Graduate School of Renewable Energy, Darma Persada University, Jl. Taman Malaka Selatan No. 22, Pondok Kelapa, East Jakarta 13450, Indonesia
* Corresponding author: firstname.lastname@example.org
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).
Key words: direct current motors / light sensors / performance index / photovoltaic / pitch / yaw
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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