Position Of Solar Panel Research Articles

Comparative Analysis of Tilt And Illumination of Solar Panels in the Design of Solar Test Simulator

In order for the designed tool to simulate solar panel measurements based on real-world conditions, the solar panel placement holder was arranged in a specific way during the design process. A monitor display that is mounted on the design will show the effectiveness of the solar panels and provide general solar panel information. Limitations in the positioning of solar panels will not provide a reference to conditions for measurement depending on the angle of incidence of the sun so further design needs to be done regarding the position of solar panels when measurements are taken. The development carried out in the design of this tool is in the form of adjusting the solar panel holder in the form of a solar panel holder tilt of 0°, 90°, 180°, and a distance of 30 cm halogen lamp as an energy source that is measured. Measurement results based on design, temperature 46°C, and 100% light.

Design and Implementation of A Dual-Axis Solar Tracking System using Arduino Uno Microcontroller

This paper presents a dual-axis solar tracking system developed and evaluated using LDR sensors and stepper motors, controlled by an Arduino Uno microcontroller. The aim was to enhance photovoltaic energy efficiency by designing a system capable of automatically adjusting the position of solar panels to follow the sun's movement throughout the day. Comparative testing between static solar panels and those equipped with solar trackers demonstrated that the latter produced 35% more power on average. Additionally, the dual tracking system showed a 14% improvement in efficiency over previous averages noted in existing references. Analysis of azimuth and elevation angles confirmed that the solar tracker accurately adjusted the panels' position, significantly boosting solar energy capture. This finding is consistent with prior research, which also supports the efficacy of solar trackers in enhancing photovoltaic efficiency. Future research should expand testing to include various weather and environmental conditions and focus on developing more advanced control algorithms to enhance system responsiveness. Continuous advancements in solar tracking technology are vital for maximizing solar energy potential and facilitating a transition to a more sustainable society.

Energy Production Optimization by Positioning of Solar Panels and Surveillance System with Cleaning of Panels

The pursuit of efficient and sustainable energy generation has led to the widespread adoption of solar panels. However, the optimal performance of these panels can be hindered by factors such as dirt accumulation, suboptimal orientation, and security concerns. To address these challenges, we propose an integrated Solar Panel Tracking, Cleaning, and Surveillance System (SPTCSS). Our system employs advanced tracking technology to optimize solar panel orientation, ensuring maximum exposure to sunlight throughout the day. Additionally, it incorporates automated cleaning mechanisms, utilizing water and brushes to remove dust, debris, and other contaminants, thereby maintaining peak efficiency. Furthermore, the surveillance aspect of the system provides real-time monitoring and security features, safeguarding against theft, vandalism, and unauthorized access. Through a network of sensors and cameras, any anomalies or suspicious activities can be promptly detected and addressed. By integrating tracking, cleaning, and surveillance functionalities into a single system, our solution offers a comprehensive approach to enhancing the performance, longevity, and security of solar panel installations. This not only maximizes energy generation but also minimizes maintenance requirements and mitigates risks, ultimately contributing to a more sustainable and reliable renewable energy infrastructure

Raspberry Pico Based Dual Axis Smart Solar Tracking System

One of the most critical global concerns is the energy crisis, which has led to a growing emphasis on renewable energy solutions. Solar panels have become increasingly popular in recent years as they efficiently convert solar energy into electrical energy. Their affordability and minimal environmental impact make them a preferred choice. Solar panels release electromagnetic radiation during electricity production. The primary objective is to develop an effective autonomous solar tracking system that constantly adjusts the solar panel's position to remain perpendicular to the sun's rays. In this system, a photoresistor serves as the sensor, detecting sunlight to facilitate automatic adjustments. Both horizontal and vertical axes on the dual-axis solar panel are rotated to enhance device efficiency. This dual-axis mechanism provides precise control over the panel's elevation relative to the sun, ensuring optimal energy capture. Solar tracking systems are specifically designed to maximize solar panel efficiency by aligning them with the sun's position throughout the day. These systems utilize sensors and motors to continuously adjust the panel's orientation, resulting in increased energy production and a better return on investment compared to fixed solar panels.

Orientation system of solar panels based on a robot manipulator

Solar energy is one of the most interesting renewable energies, as it is an inexhaustible natural accumulation. The electrical energy generated depends on the performance of photovoltaic panels that is based on the direction of sunlight. The position of the sun changes during the day, even during the year, which imposes a system of automatic orientation of solar panels for this purpose, several devices have been proposed and marketed. In our article, we focus on the adaptation of a robot manipulator for orientation and positioning of solar panels, applying for the control system, the model of the robot controller. First, we present the robotic system, which is a well-mastered, and his order was the subject of several studies and applications, and the model of the robot used for controlling the system. Finally, we give the simulation results in two modes: Mode fixed facing south with an inclination of 45° and the robot tracking mode following the elevation and azimuth movements with two decoupled movement. The results found show a gain in terms of solar energy collected measured about 51%.

Dual Axis Solar Tracking System with Weather Monitoring System

This paper presents the design and implementation of a solar tracking system integrated with weather monitoring capabilities. The system is designed to maximize the efficiency of solar panels by continuously adjusting their orientation to track the sun's position throughout the day. In addition to solar tracking, the system incorporates weather monitoring sensors to collect real-time data on environmental conditions such as cloud cover, wind speed, temperature and light intensity. This data is utilized to dynamically adjust the solar panel's position to optimize energy production and system performance in varying weather conditions. The integration of dual-axis tracking with weather monitoring enhances the overall efficiency and reliability of solar energy systems, making them more adaptable to changing environmental factors and increasing their potential for renewable energy generation.

Prototype Development for Solar Energy Tracking Based on Arduino in QUEST Campus Larkana

The utilization of solar energy has become increasingly popular due to its renewable and sustainable nature. However, one of the primary challenges in solar energy harvesting is the optimization of the amount of energy that can be captured from the sun. The implementation of solar trackers is an effective solution that enables the automatic adjustment of the solar panel's position to face the sun throughout the day. In this project, an Arduino-based solar tracker prototype was designed and implemented to optimize the solar energy harvesting process. The system employs Light-Dependent Resistors (LDRs) to detect sunlight intensity and a servo motor to adjust the position of the solar panel accordingly. The system was programmed using the Arduino programming language and was tested using a small-scale solar panel. The increasing demand for cost-effective and easy-to-install renewable energy systems has led to a growing interest in photovoltaic solar energy for residential use. To optimize energy production, a two-axis photovoltaic solar tracker that orients the solar panel toward the maximum solar radiation is proposed in this study. The use of Free Computer Aided Design (CAD) 0.15 for the prototype's design, combined with Arduino technology, provides an affordable solution for mounting the solar tracker on flat roofs and other horizontal building elements. The performance of the solar tracker was evaluated under various testing conditions, showcasing an enhanced level of accuracy and energy production when compared to traditional fixed systems. The prototype's successful demonstration represents a significant advancement in the field, providing a practical solution for small-scale and residential solar energy applications. This research prototype was developed and installed on the roof of the Electrical department of QUEST, Campus Larkana, and validated through simulation results.

Designing the Optimal Configuration of a Small Power System for Autonomous Power Supply of Weather Station Equipment

Autonomous power systems serving remote areas with weather stations with small settlements are characterized by a fairly high cost of generating electricity and the purchase and delivery of fuel. In addition, diesel power plants require regular maintenance, have a relatively short service life during continuous operation and produce a large amount of emissions into the environment. This article discusses various methods of placing solar panels in the space for the autonomous power supply of weather station equipment. The principles of these methods are described and their advantages and disadvantages are outlined. The optimal algorithms of functioning for photomodules are described and their comparison regarding the main, significant parameters is carried out. The choice of the most effective algorithm for use at a weather station is made. The effective positioning of solar panels is also calculated, and positioning conditions are determined depending on the territorial location and various environmental conditions. Simulation of the power supply system of a weather station consisting of solar panels, batteries and inverters is performed. As a result, a practical example of the application of the method of selecting the optimal composition of equipment for a hybrid power system of a weather station territorially located in Siberia with different configurations of equipment is considered. In numerical terms, it was possible to reduce the cost of power equipment operation by more than 60% with a fairly low payback period of 5.5 years and an increased reliability of the power system, which is very important for autonomous power systems of northern weather stations.

Effect of Temperature and Solar Panel Position on Solar PV System Performance: A Review

Most people think that the sun's energy is the most valuable and plentiful of all the energy sources in the world. Getting electricity from the sun's energy can be done in many ways that have been tried and tested. Solar PV systems that use sunlight to generate electricity are well-known and widely used technology. The performance of PV technology depends on the solar panel's temperature, how much dust it is exposed to, and how the panel is tilted. Changing the panel's materials may alter its performance but the effects of other parameters are still questionable. Few research works have examined individually how the temperature of the panel, as well as the panel angle, affect the performance of the solar PV system but still, the impact of the integration of both systems needs to be better studied. Therefore, this review aims to investigate how the temperature of the solar panels and the angle of the automated control panels affect solar PV performance.

Моделі та алгоритми оптимізації розташування сонячних батарей

The study aimed to create a method for optimizing the position of solar batteries with fixed location to increase their efficiency, namely, the generation of maximum energy during a certain time, as well as reducing the unevenness of electricity generation over time. The study allowed developing a method of optimizing the position of solar batteries to increase their efficiency, namely obtaining the maximum electrical energy generation both with a completely fixed location of solar batteries and with a seasonal change in position. The developed models and algorithms, the given examples and the results of their solution with the construction of polynomial regressions and their graphical representation, integration of polynomials to obtain the values of the generated energy give a clear idea of the application of the method of optimizing the position of solar panels to maximize the generated energy and equalize the generation characteristics over time, as well as ways to develop them further. The theoretical research made it possible to solve an important scientific and technical problem of increasing the performance of solar batteries by placing them in an optimal position relative to the Sun. The model of placement of the solar battery and the method that allows optimizing its position were further developed. The field of using the Matlab computer program for simulating the operation of solar batteries was further expanded. For the first time, the work offers a model and method of using solar cells with different positions relative to the Sun designed to increase the amount of electric energy generated and equalize the energy generation characteristic, which is expressed as a dependence of power over time. For this purpose, the authors introduce the coefficient of unevenness of the generation characteristic, which establishes the relationship between the maximum power and the capacities at other moments of time and allows objectively evaluating the unevenness of the characteristic. The practical value of the proposed solutions consists in the ability to simulate the operation of the solar battery in various conditions based on experimental studies and using the Matlab computer system.

Моделі та алгоритми оптимізації розташування сонячних батарей

The study aimed to create a method for optimizing the position of solar batteries with fixed location to increase their efficiency, namely, the generation of maximum energy during a certain time, as well as reducing the unevenness of electricity generation over time. The study allowed developing a method of optimizing the position of solar batteries to increase their efficiency, namely obtaining the maximum electrical energy generation both with a completely fixed location of solar batteries and with a seasonal change in position. The developed models and algorithms, the given examples and the results of their solution with the construction of polynomial regressions and their graphical representation, integration of polynomials to obtain the values of the generated energy give a clear idea of the application of the method of optimizing the position of solar panels to maximize the generated energy and equalize the generation characteristics over time, as well as ways to develop them further. The theoretical research made it possible to solve an important scientific and technical problem of increasing the performance of solar batteries by placing them in an optimal position relative to the Sun. The model of placement of the solar battery and the method that allows optimizing its position were further developed. The field of using the Matlab computer program for simulating the operation of solar batteries was further expanded. For the first time, the work offers a model and method of using solar cells with different positions relative to the Sun designed to increase the amount of electric energy generated and equalize the energy generation characteristic, which is expressed as a dependence of power over time. For this purpose, the authors introduce the coefficient of unevenness of the generation characteristic, which establishes the relationship between the maximum power and the capacities at other moments of time and allows objectively evaluating the unevenness of the characteristic. The practical value of the proposed solutions consists in the ability to simulate the operation of the solar battery in various conditions based on experimental studies and using the Matlab computer system.

Design and Optimization of Solar Panel Based on Sun Detector

Many factors cause people to be reluctant to apply solar panel technology as a source of renewable electrical energy, one of which is the efficiency level of solar panels which is still very low because the position of solar panels is generally facing in one direction. In this study, we designed a tool that can automatically drive the solar panel motor according to the comparison value obtained from the LDR sensor. There are four LDR sensors for comparison that are used as a reference tool to move towards the brightest light intensity. From this solar panel, the power will be stored in the battery which at the same time drives the motor so that the rays obtained are more optimal and faster for charging the battery. From the results of the research conducted, the energy efficiency in a day is 9 percent from normal conditions without using optimization. It is hoped that this tool can help the community to use alternative renewable energy sources that are more effective and efficient.

Sistem Monitoring Penentuan Pergerakan Posisi Panel Surya Terintegrasi Internet Of Things

Due to the increasing demand for energy, alternative energy is needed. One of them is energy that comes from the sun. To utilize solar energy, solar panels are needed which are used to collect solar energy which will be converted into electrical energy. The problem is to optimize the work of the solar panel, a design for determining the position of the solar panel must be made so that it is always focused on the direction of the arrival of the sun. Design of solar panel position monitoring system based on the Internet of Things has a purpose as a monitoring system in optimizing the light reception received by solar panels in real time. The method used is the dual axis tracking method, which is a method that can make flexible solar panel movements follow the direction of the maximum sunlight intensity. The parameters monitored from this research are the value of analog voltage from the four LDR light sensors, two angles of dual axis movement and description of the the solar panel position. From the tests that have been carried out, the system can work well as solar panel movement position monitoring system based on the Internet of Things.

Автоматическое позиционирование панели солнечных батарей и слежение за направлением максимального потока света

The paper analyzes the state and possible ways of development of alternative energy, describes the prospects for the development of solar power plants, their classification and areas of application. Within the research, we revealed the problems that arise when installing and operating solar panels and identified the reasons that reduce their efficiency. Consequently, we analyzed the ways to increase the efficiency of power generation by solar panels and suggested solar panel automatic positioning and maximum light flux direction tracking as a possible solution to the problem. The study introduces a new device for positioning solar panels, which is distinguished by the automatic deployment and positioning of solar panels according to the actual direction of the maximum light flux. The device provides possible automation of the installation and greater efficiency of solar panels. The novelty of the device is protected by a utility model patent no. 180765 RF. To confirm the efficiency and to obtain a quantitative value of the increase in power generation by solar panels due to the use of the developed device, we present the comparison methodology and a description of the experiment. The schematic diagram and external view of the developed device are also shown. The experimental results are processed and shown in a graph. The possibility of increasing power generation by solar panels by tracking the maximum light flux and reorienting the solar panel towards it during the day has been confirmed, and a quantitative value of the increase in power generation has been obtained. Based on the positive results of the experiment, the possibility of using the developed device for automating the process of deploying solar panels in an autonomous way and excluding human participation in this process is described. The operation of the developed device on a moving vehicle and other methods of its application are considered. The results are summed up, conclusions are drawn and possible further directions for the development and use of the proposed method for increasing the efficiency of solar panels and the developed device for improving the performance of solar panels are identified

Optimization of Photovoltaic Array Orientation and Performance Evaluation of Solar Tracking Systems

In recent years, solar energy has received tremendous attention in accordance with the global efforts in moving towards clean energy generation. A solar tracking system shifts the position of solar panel following the Sun's movement, allowing more energy to be harvested. This paper aims to evaluate the performance of solar tracking system in Malaysia, including the east-west single-axis tracking system, north-south single-axis tracking system, vertical axis tracking system, and dual-axis tracking system. The periodical tilt angle adjustment of fixed-tilt photovoltaic system is also investigated to optimize its performance. A mathematical model is formulated to compute the amount of solar radiation collected in a photovoltaic system and the optimization model is solved using genetic algorithm to determine the optimal tilt and azimuth angles for maximum solar radiation yield. Based on the results, PV system with dual-axis solar tracker has 22.14 % more solar radiation collected compared to the fixed-tilt system, while monthly tilt angle adjustment improves the yield by 2.15 %.

A Multi Fusion Data Mining Algorithm for Solar Energy Efficiency

The output power of renewable energy has thecharacteristics of random fluctuation, which have the harmfuleffect on stability of renewable power grid and causes the problemof low utilization ratio on renewable energy output power. Thus,this paper proposed a method to predict the output power ofrenewable energy based on data mining technology. Data miningis performed using linear regression algorithm, decision tree, andrandom forest. The simulation experiment results show thevariation of solar radiation size and inclination angle, whichimproves solar panel position control accuracy and solar energyutilization in solar photovoltaic power generation systems. Andthis provides the scientific basis for theory and application of theefficiency of utilizing solar energy.

A prototype of solar panel position control system based on image processing

The position of the solar panel towards sunlight is very influential on the electrical energy production. The solar panel orthogonal to the sunlight is the best position to produce electrical energy. The aim of this research is creating a prototype of the solar panel position control system. The expected position of the system is solar panels are always perpendicular to the sun. In this research, we used image processing to control the solar panel position. We used a webcam to capture a shadow image of a 4cm bolt that placed on a flat plane. Then, the image from the shadow is processed to get the angle of the sun. We use trigonometric formulas to convert bolt shadows into angles. After that, the angle used as input for the solar panel drive motor. Thus, the solar panel can be adjusted to follow the angle of the sun. So that the positions are orthogonal to each other. The research finding discovered that the prototype can always follow the direction of incoming sunlight with an accuracy rate towards the center point is 95% for azimuth (X-axis) and 96% for altitude (Y-axis).

Fuzzy Logic Controller Application for an Active Two-Axis Solar Tracking System

The changes in the intensity of solar radiation cause the electrical power produced by solar panels to be not optimal. The solar panel position control system to the position of the solar is an effort to overcome this problem. There are four Light Dependent Resistor (LDR) sensors placed on the sides of the four cardinal directions. The difference in the intensity of solar radiation received by each sensor causes the position of the solar panel to turn perpendicular to the position of the solar. The control method used is fuzzy logic control with three membership functions. The controlled variables are pitch angle and yaw angle in an active two-axis solar tracking system. Input fuzzy logic control is an error, and output is PWM. The results of the performance of the pitch angle control system produce settling time for 10 s and error steady-state obtained by 0.080 %, while for the yaw angle control system produces settling time for 13 s and steady-state error is obtained at 0.038 %. The existence of a control system resulted in an increase in the percentage of power above 30 % with a power difference of 7.49 W to a fixed panel.

COMPARATING ANALYSIS OF COORDINATE SEARCH METHODS EFFICIENCY FOR THE OPTIMAL SOLAR PANEL POSITION FINDING

The work is devoted to the investigation of the effectiveness of the coordinate search methods for solving the problem of finding the position of the solar panels, in which the greatest power of the produced current is achieved. The existing solutions in the market of sun surveillance systems (solar trackers) are analyzed. The advantages and disadvantages of such systems are presented in comparison with fixed panels. It is proposed to improve the hardware and software for research of the solar panels efficiency, developed by the authors and highlighted in the previous works, by integrating the program realization of the algorithm of coordinate search of the maximum power of solar panels into the existing. For this purpose, the efficiency of three algorithms for coordinate search of the maximum, namely, the method of coordinate ascending, the Huck-Jeeves method and the Rosenbrock method, was studied in three parameters. Experiments were carried out on data obtained both experimentally using the lab stand for solar panel efficiency research, and by generation using mathematical model of the solar panel efficiency dependance on the angle of radiation, described in previous works. TThe results of experiments are analyzed, which showed a fundamental difference between the work of coordinatewise search algorithms on a mathematical model and experimental data. The main indicators of the efficiency of algorithms are substantiated on the basis of the meteorological conditions in which the measurement was carried out for the formation of experimental data. Conclusions are drawn regarding the efficiency of using these coordinate-based search methods for solving the problem of finding the optimal position of solar panels. Further prospects for research on this topic and the possibility of using coordinate-wise search methods in software of solar panels with a biaxial orientation on the position of the Sun are given.

Design and Development of Dual Axis Solar Panel Tracking System for Normalized Performance Enhancement of Solar Panel

In today’s era, our life is dependent on energy. Nation’s development is somehow associated with the availability of energy. Solar energy is the most eminent and renewable & cleanest sources of energy. It can be easily harnessed with the help of solar photovoltaic (PV) panels. But, we mainly observe that most of the solar panels are positioned at fixed angles. In order to maximize the amount of solar radiation collected by a solar panel, we use solar tracking device whose function is to follow the sun orthogonally throughout the day which enhances the energy capacity of the system. This paper comprises of development and design of dual axis solar panel tracking system & experimental study of dual axis solar tracker compared to fix position solar panel in terms of performance enhancement. The tracking mechanism of the sun requires light dependent resistor (LDR) as sensor to sense the maximum light availability & two servomotor for two axis movement (i.e., vertical and horizontal) to direct the position of solar panel. The software part is done by the help of written code using an Arduino Uno controller.