Abstract
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).
Highlights
Solar energy is one of the renewable energy that gets more attention from many countries [1]
According to law number 30, the year 2007 article 29 paragraph 2 about the energy, the development of energy directed to the development of renewable energy [2]
The solar tracker can implement with one-axis solar tracking if desired higher accuracy can use two-axis solar tracking
Summary
Solar energy is one of the renewable energy that gets more attention from many countries [1]. According to law number 30, the year 2007 article 29 paragraph 2 about the energy, the development of energy directed to the development of renewable energy [2]. Solar tracker not always needs to point right to the sun; when it missed 10 %, the resulting output is still 98.5 % of that produced by solar tracker that is always pointing towards the sun. Some data will be trained firstly implied to the fuzzy system [8]
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