The project considers an automated intelligent solar tracking control system which is mainly designed to increase the energy production from the solar energy. Since solar energy is the main source of solar energy the best way of collecting solar energy in
Abstract- This paper presented the use of artificial intelligent based neural network control tracking system for better harnessing of sun''s energy. The sun tracking algorithm is developed
The paper considers an intelligent automated solar tracking control system designed to increase the efficiency of solar energy production. The proposed method o
Simulates with PVSystem, proves that the efficiency of using photovoltaic power tracking system is 30% higher than that of fixed solar cell system. In order to solve the problem of low photoelectric conversion efficiency in solar power generation, a solar photovoltaic power tracking system based on PLC is proposed. This system can make directional adjustments
Our goal is to create, design and realize a simple, low-cost, dual-axis intelligent solar tracking system using a photoresistors (L.D.R.),a solar panel and an electronic circuit allow the system to rotate both vertically and horizontally,
power system based on a foldable scissors mechanism. This system includes a photovoltaic power generation module and electricity transfer module along with considers an intelligent automated solar tracking control system designed to increase the efficiency of solar energy production. The proposed
DOI: 10.1109/IC457434.2024.10486303 Corpus ID: 268931094; Intelligent Solar Tracking System with Fuzzy Logic Control and IoT Integration @article{Rathika2024IntelligentST, title={Intelligent Solar Tracking System with Fuzzy Logic Control and IoT Integration}, author={Dr. N. Rathika and Dr. Shirish Dattatreya and Dr. Ramakrishnan Raman and Ramireddy Sasidhar Reddy and Dr.
PDF | On Jun 1, 2019, Nurzhigit Kuttybay and others published An Automated Intelligent Solar Tracking Control System With Adaptive Algorithm for Different
The aim of this paper is to design and implement efficient single and dual-axis solar tracking control systems that can increase the performance of solar trackers, predict the
The solar tracking system was tested indoors and outdoors. Outside, the solar platform was affixed to the top of a building so the results could be compared between fixed
entitled "Solar Tracking System" gives a brief overview of solar tracking system based on microcontroller. This solar tracker is cost efficient. These solar trackers enable the accurate tracking of the sun. Sohag et al (2015) the research paper entitled "An Accurate and Efficient Solar Tracking System Using Image Processing and LDR
_ The term of solar energy reference of the radiation in light energy and the heat of the son is received in high amount. The solar energy that received from the sun reach at the surface from the
Eng. & Tech. Journal,Vol.33, Part (A), No.1,2015 Design of Intelligent Controller for Solar Tracking System Based on FPGA 121 After training the purpose intelligent controller for solar tracker the simulation shows that BP is better than PSO in this work so that it can be converted to SIMULINK model such that shown in figure (9). In this model
The amount of UltraViolet (UV) rays and the surrounding temperature have a general effect on the amount of energy produced by PV panels. In the case of optimal electrical power generation, PVs are angled perpendicular to the sun. A smart Solar Panel Tracking System (SPTS) that uses Fuzzy Logic Control (FLC) and the Internet of Things (IoT) is proposed to increase solar
Solar energy generation can be increased by the tracking of the solar Self through the solar tracking power system in terms of the dual axis. 18% efficiency at the solar system can be increased
To independently control an intelligent system, a large amount of data on climatic conditions and the characteristics of photovoltaic devices are required [168], the most effective solar tracking system is a dual-axis solar tracking system. The geographic latitude of the location is high. The climate changes very quickly over time, many
The PV panel rotates automatically based on the sun irradiance during the day. Besides the ability to operate as a solar tracker, computer models of the standalone solar tracker systems are first modeled using MATLAB TM /Simulink TM. With the solar tracker''s model, it is used to determine the efficiency over the fixed solar panel; power
Experimental results showed that energy generated in cloudy weather using proposed method exceeds energy collected by biaxial solar tracker by 18%. The paper considers an intelligent automated solar tracking control system designed to increase the efficiency of solar energy production. The proposed method of detecting cloudiness allows system to adapt to
As solar tracker being a decoupled system, the controller designed for single axis will be exactly similar for the other axis as well. For the above reason here a single axis solar tracking system is considered for the analysis purpose. All the parameter incorporated in the sun tracking system with their values are enlisted in Table.1.
A dual-axis solar tracker (DAS) is a type of solar tracker with two rotational axes, which always enable it to align the PV panels and point directly towards the solar disk [ 9
In order to solve the problem of low photoelectric conversion efficiency in solar power generation, a solar photovoltaic power tracking system based on PLC is proposed. This system can make directional adjustments when the sun''s direction change, height and angle changes, so it can improve the conversion efficiency of photovoltaic modules. Finally, simulates with PVSystem,
Artificial neural network has been implemented to identify and to model a two axis solar tracking system and an intelligent proportional integral and a derivative type fuzzy logic controller with and without self tuning scaling factors were studied and have been applied to control the solar tracker. Solar tracking is essential for many solar energy based power systems, concentrators or flat
The design and construction of an intelligent Arduino Based solar tracking system using Light Dependent Resistors (LDRs) and Servo-motor for tracking the movement of the sun so as to get maximum power from the solar panels as they follow the sun. With the advancement of technology things are becoming Simpler and easier in every aspect of life.
Data analysis revealed that our solar tracking system consistently received higher solar irradiance levels compared to static solar systems Fig. 7. The peak irradiance recorded for the tracking system reached 1555 W/m 2, while the static solar system achieved only 1460 W/m 2. This substantial difference in irradiance levels is a testament to
The lowering cost of solar panels combined with the availability of artificial intelligence represents an opportunity to scale up the development of green buildings
This paper presents the design and implementation of an automatic solar tracking system for optimal energy extraction. A prototype system based on two
This paper focuses on the optimization of the electric energy production by photovoltaic cells through the development of an intelligent solar-tracking system. The developed tracking system is innovative. The developed solution has many advantages in relation to similar existing devices, as this system is autonomous regarding the information needed to process the optimal orientation
The solar tracking system produced an average of 31.67 % more energy than fixed systems, following the sun in real time throughout different weather conditions with no energy swings. An intelligent fuzzy based tracking controller for a dual-axis solar PV system. Autom. Constr., 29 (January) (2013), pp. 100-106, 10.1016/j tcon.2012.09.006
In this paper an intelligent sun-tracking system for efficiency maximization referring photovoltaic energy production is developed. This Paper presents a model of power generation by using solar cell and gives a power generating method from sunlight.
AI Optimized Solar Tracking System for Green and Intelligent Building Development in an Urban Environment. ogy with intelligent decision-making and automatic control has been applied in the.
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