Solar Control System Research Articles

Design and Implementation of Solar Cell Cleaning Control System

تتأثر طاقة توليد الخلايا الشمسية بعدة عناصر مثل الغبار والظلال والأوساخ وأملاح البحر والثلج. لكن هذا البحث يهتم أكثر بالغبار كمسألة مهمة يمكن أن تؤثر على كفاءة الخلايا الشمسية، خاصة في دول الشرق الأوسط (مثل العراق). الغبار المتراكم على ألواح الخلايا الشمسية يقلل من إشعاع ضوء الشمس المطبق ويقلل من كفاءة الخلايا الشمسية. في هذا البحث تم تصميم نظام التحكم بالتنظيف عن بعد للحفاظ على نظافة الألواح. نظام التحكم يتم تنفيذه بشكل عملي ويتميز بخفة الوزن والهيكل المحكم. تم تصميم هيكل نظام التحكم بحيث يكون أكثر قابلية للتطبيق ويمكن دمجه بسهولة عمليًا. أظهرت النتائج أن هناك تحسنًا ملحوظًا في كفاءة مخرجات الألواح الشمسية عند تنظيفها في ظروف متنوعة مثلا عندما يكون غبارًا كثيفًا ومتوسطًا. بعد تنظيف اللوحة، يزداد متوسط الطاقة المتبددة مع زوايا إمالة مختلفة بمقدار 1.75 وات تقريبًا عند جمع قياس الطاقة في الساعة 9 صباحًا و1.85 وات عند جمع القياس الطاقة في الساعة 12 ظهرًا.

Characterisation of view relative to solar-control systems

Solar shading can be an effective way of avoiding overheating by reducing solar gains in buildings. However, solar shading systems can block or obscure the view-out with the consequence that occupants may refrain from using the shading system. As such, there is a need to quantify the effects of shading on occupants’ perception of the view.In this study, we developed a method to identify the photometric parameters and compositions that are effective in characterising the view-out in relation to different solar-control systems. We hypothesized that the photometric composition, e.g., contrast, in the visual environment as a result of using solar-control systems impacts the subjective assessment of the view. We conducted objective photometric measurements using calibrated luminance cameras and subjective responses from 64 participants in a semi-controlled work environment to test the hypotheses. The participants were randomly allocated to a combination of five view-outs and six solar shading systems in a work environment where they answered questions related to the indoor environment and view quality. The relation between view and solar-control systems and their impact on the subjective view assessment was tested using linear mixed-effects models. The models were developed using forward and backward selection based on AIC and likelihood ratio tests (LRT) to test the effects of adding or removing variables. The achromatic contrast calculated based on the measured luminance data both locally and globally was significantly associated with view assessment and satisfaction when using different shading types.

A Design and implementation of a sustainable microcontroller based solar power automatic water irrigation control and monitoring system

The major cause of the shortage of land reserve water owing to the lack of rainfall makes the proper operation of irrigation systems extremely important. A major concern for farmers these days is water scarcity. Pakistan is an important agricultural nation and major part of economy depend on agriculture. This study analyses the soil moisture monitoring and automatic plant watering system since it is really helpful in all kinds of weather. In this study a prototype is design and implement using Arduino-based automation sensors are employed for the control and observation of a solar powered smart irrigation system. An Arduino based remote irrigation system developed for the agricultural plantation, which is placed at a remote location and requires water, provides for plantation when the moisture of the earth drives under the set-point rate which turns on the pump on autopilot. An estimation was carried for solar power energy potential agriculture system condition using soil and humidity sensors. The measurements and mathematical formulation were observed to monitor effectivity of solar based power generation. This analysis is conducted for 20 Watt power panel integrated with 5-watt electrical drive with battery capacity 1200 m-Ah. A modified energy model was used to determine the agricultural load for a 5-watt dc motor. The results showed a cumulative analysis to implement this system inspired by smart sustainable clean renewable energy technologies which meet the farmer’s demands significantly increase the productivity of farming and reduce wastage of water and energy.

Design of a Fertilizing Robot Application with Regard to Energy Consumption

Electrically driven agricultural robots experience faster battery depletion than vehicles moving on asphalt because higher rolling and traction resistance require more energy. The problem arises in areas without access to the electrical grid, where charging electrically driven agricultural robots is not possible, resulting in interruptions to the robot's continuous operation. A combined energy production station powered by biogas, hydrogen, and solar energy with the prototype of autonomous fertilizing robot for blueberry plantations, to perform plant-based precision fertilization on depleted milled peat fields was created by the agrorobotics working group of the Estonian University of Life Sciences [1, 2]. The station includes unique components such as an automatic battery exchange system and an electric generator with a membrane motor. These, together with a solar energy and electric generator control system, as well as a battery charger, are mounted on a mobile platform (Figure 1). The objective of this article was to determine the energy requirements of an autonomous fertilizing robot during movement in the field and for carrying out technological operations. For this purpose, the mechanical power and energy required for the operation of the robot fertilizer spreader were first determined. Based on this, an accumulator with suitable power and capacity for the operation of the robot fertilizer spreader was selected. The travel distance of the robot on a single charge of the chosen accumulator was determined, as well as the traction power efficiency and specific power.

Enhancement of Power Quality through the Implementation of a Hybrid Artificial Intelligence Model within Solar-Wind Energy Systems

The generation of electricity is significantly assisted by hybrid solar-wind power systems, which also play a crucial role in the advancement of intelligent grids. Furthermore, the integration of wind and solar energy storage control systems, in conjunction with energy markets, has rendered the electricity grid more economically feasible. To meet the growing demand for electricity, hybrid renewable energy systems connected to microgrids consist of substantial identifying elements. The issue of harmonic distortion in microgrids arising from nonlinear loads is a fundamental area of research. Understanding the impact of microgrids on power quality is also of great importance. This study focuses on enhancing power quality in solar-wind hybrid systems by incorporating emerging Artificial Intelligence (AI) methodologies. The proposed approach comprises two main components: (i) detection of distortions caused by voltage fluctuations and (ii) improvement of power quality through an AI-based control system. Initially, power distortions are identified and eliminated using the Enhanced Kalman Filter (EKF) algorithm. A Hybrid Artificial Neural Network with Fuzzy Intelligence (HANFI) model is then developed based on this power data. This model integrates two prominent neural network architectures with fuzzy systems. Experimental validation of the system is conducted using MATLAB, which facilitates the simulation of hybrid energy systems.

A Comprehensive Survey on Semi-Automatic Solar-Powered Pesticide Sprayers for Farming

In recent years, the agriculture sector has witnessed a growing demand for sustainable and efficient pest management solutions to enhance crop yield and reduce environmental impact. Among these solutions, semi-automatic solar-powered pesticide sprayers have emerged as promising tools for farmers worldwide. This paper presents a comprehensive survey of semi-automatic solar-powered pesticide sprayers designed for farming applications. The survey begins by exploring the motivations behind the development of solar-powered pesticide sprayers, emphasizing the need for environmentally friendly alternatives to traditional pesticide application methods. It proceeds to examine the key components and functionalities of these sprayers, including solar panels, rechargeable batteries, pumps, nozzles, and control systems. Special attention is given to the integration of solar energy harvesting mechanisms and their impact on operational efficiency and sustainability. Furthermore, the survey investigates the design considerations and technical challenges associated with the development of semi-automatic solar-powered pesticide sprayers. Topics such as system autonomy, spray coverage, pesticide dosage control, and user-friendly interfaces are thoroughly discussed. Additionally, the paper highlights recent advancements and innovations in the field, including the incorporation of smart sensors, GPS technology, and data analytics for precision spraying and monitoring.

Dynamic response characteristics and economic analyses of two solar-assisted multi-generation systems

Efficient use of solar energy can alleviate the depletion of fossil energy and global warming. In this paper, two solar-aided combined cooling, heating and power systems are proposed and dynamically modeled. The main difference between the two systems is whether the solar energy is stored. A rotor speed-temperature-fuel control system is established, which is suitable for both systems. A control system for solar heat collection process is developed. Energy, exergy and techno-economic analyses are carried out to evaluate the thermodynamic and economic performances. The dynamic responses under direct normal irradiation perturbation and load perturbation are also investigated. The result shows that compared with the system without energy storage, the system with energy storage has higher primary energy utilization rate, exergy efficiency and fuel saving rate, but the economic performance is poorer. The rotor speed-temperature-fuel control system can guarantee a short equilibrium time and a small overshoot for power generation process. When electrical load disturbance occurs, the stabilization times of the output power, cooling energy supply and thermal energy supply are 30 s, 675 s and 770 s, respectively. Under the regulation of the solar heat collection control system, the maximum overshoot of the outlet thermal oil temperature of the parabolic trough solar collector is 2.6 % with a stabilization time of 83 s when the direct normal irradiation step disturbance occurs.

Solar power control system on smart green home

The need for fossil fuel electricity usage is increasing every year. If used for a long period of time, it will eventually run out. To reduce the use of fossil fuel energy, other alternatives are needed to maintain the availability of natural resources, one of which is by utilizing renewable energy. Utilization of solar power as an electrical energy source using photovoltaic panels. In its application, a solar power plant requires a controller that can regulate the energy produced. This controller is responsible for regulating the process of selecting the battery to be used. The working principle of this device is that when the battery reaches the minimum voltage threshold, the battery usage will be diverted to another battery with a voltage above the minimum threshold. The results of the research show that the system is capable of performing switching processes well using the smart switching method with a 100% success rate. The system uses an INA219 sensor for reading voltage and current from the battery. This research uses a 10-watt DC lamp, 20-watt DC lamp, and 30-watt DC lamp as loads. The battery can last for 4,8 hours by using a 10-watt DC lamp as a load, 2,4 hours by using 20-watt DC lamps as a load, and 1,6 hours by using 30-watt DC lamp as a load.

Designing a Fertilizing Robot Application Considering Energy Efficiency

Abstract Electrically driven agricultural robots encounter accelerated battery depletion compared to vehicles operating on asphalt due to heightened rolling and traction resistance necessitating increased energy consumption. This issue becomes pronounced in regions devoid of access to the electrical grid, precluding the possibility of recharging electrically driven agricultural robots and consequently leading to interruptions in their uninterrupted functionality. To address this challenge, the agrorobotics working group at the Estonian University of Life Sciences devised a novel solution: a combined energy production station leveraging biogas, hydrogen, and solar energy. This station was integrated with a prototype autonomous fertilizing robot tailored for blueberry plantations to conduct precision fertilization on depleted milled peat fields. Distinctive features of the station encompass an automated battery exchange system and an electric generator equipped with a membrane motor. These components, in conjunction with a solar energy and electric generator control system, alongside a battery charger, are affixed onto a mobile platform. The primary objective of this study was to ascertain the energy requisites of an autonomous fertilizing robot during field traversal and while executing technological operations. To achieve this aim, the mechanical power and energy necessary for the operation of the robot fertilizer spreader were initially quantified. Subsequently, an accumulator possessing suitable power and capacity for the operation of the robot fertilizer spreader was chosen. The article further delineates the determination of the travel distance achievable by the robot on a single charge of the selected accumulator, in addition to evaluating the traction power efficiency and specific power.

Fuzzy Logic Control System for Optimizing Dual-Axis Solar Panel Tracking

The utilization of solar energy through solar panels has gained considerable attention in renewable energy applications. However, the effectiveness of energy conversion is hindered by the misalignment of solar panels with the incident sunlight. To address this issue, a dual-axis solar tracker system is proposed to automatically adjust the orientation of solar panels, enhancing energy generation efficiency. This research introduces a novel approach using a fuzzy logic control system to regulate the movement of stepper motors responsible for adjusting the solar panel positions. The system relies on input data from Light-Dependent Resistor (LDR) sensors to detect the sunlight’s position. Additionally, voltage, current, and angle sensors are integrated to accurately determine the solar panels angular position. The fuzzy logic control system employs the Mamdani method with Mean of Maximum (MOM) defuzzification. A comprehensive analysis of the systems performance was conducted, demonstrating that the manual calculations yielded 0.87 and 0.59 micro steps, while the Fuzzy Inference System (FIS) produced 0.35 and 0.26 micro steps. These results were verified through the serial monitor in the Arduino Integrated Development Environment (IDE). This research focuses on the development of a microcontroller-based two-axis solar panel control system using fuzzy logic. The system’s primary objective is to maximize solar energy utilization by ensuring that solar panels consistently align with the direction of sunlight, both vertically and horizontally. The proposed system offers an effective means of enhancing the efficiency of solar panel energy generation by continuously optimizing their alignment with the incident sunlight.

Monitoring solar heat intensity of dual axis solar tracker control system: New approach

Control of the amount of solar energy successfully absorbed by photovoltaic system equipment that can follow the movement of sunlight vertically and horizontally at any time is a very urgent need. The method used in this research activity is the utilization of the ESP8266 microcontroller as the primary control of photovoltaic movements that can follow the direction of sunlight based on information from the Light Dependent Resistor (LDR) sensor. The data variables measured and stored include current, voltage, and temperature, which are then processed and transmitted by the ESP 8266 microcontroller to the user through the Internet of Things (IoT) media to the BLINK application. The experimental results show that the proposed system using the ESP8266 microcontroller and LDR sensor increases efficiency, accuracy, speed, and convenience in the monitoring and control system of sunlight intensity by an average of 65%, compared with the manual monitoring system.

An Automated Solar Panel Surface Cleaning Control System Model for Optimizing Electricity Generation

An Automated Solar Panel Surface Cleaning Control System Model for Optimizing Electricity Generation

Intelligent Control of Solar LED Street Lamp Based on Adaptive Fuzzy PI Control

As road traffic develops, energy-saving and efficient street lights have become a key research field for relevant professionals. To reduce street lights energy consumption, a fireworks algorithm is used to optimize the membership function parameters of fuzzy control and the initial parameters of PI control. A fireworks algorithm improved adaptive fuzzy PI solar LED street light control system is designed. The results showed that in the calculation of Root-mean-square deviation and Mean absolute error, the Root-mean-square deviation of the adaptive fuzzy PI control system improved by the fireworks algorithm was 0.213, 0.258, 0.243, 0.220, and the Mean absolute error was 0.143, 0.152, 0.154, 0.139, respectively, which proved that the prediction accuracy was high and the stability was good. In the calculation of the 1-day power consumption of the solar LED intelligent control system, the average power consumption of the designed solar LED intelligent control system was about 2000W, which was 25.9%, 47.4%, and 42.9% lower than the other three control methods, respectively. This proves that its energy consumption is low, and its heat generation is low, and the battery service life is long. The research and design of an adaptive fuzzy PI control solar LED street light intelligent control system has good performance, which can effectively achieve intelligent management and energy conservation and emission reduction in smart cities.

Insight into the novel low cost green air pollution monitoring and control systems: A technological solution from concept to market

Nitrogen oxide emissions, also referred to as NOx including NO and NO2 are hazardous to human life and have negative effects on the environment. Wet and dry treatments have both been explored as methods to significantly minimize these emissions. The wet process offers several benefits, the most notable of which are the flue gas adaptability, low operating temperatures, and the lack of poisoning and catalyst inactivation. In the research work, a NOX filter is being developed, with composite material for better transparency and non-reactive nature. Mechanical and electronic components have been employed to develop a stable and rigid experimental setup that effectively handles environmental challenges. Different tests are performed during performance analysis with known quantities of NOX through cylinders and varied the flow rate of ambient air. The concentration of NOX, H2O2, nitric acid, and other parameters were captured to get the optimum configuration that will provide maximum efficiency. The envisaged cost of implementing a solar tree-based air pollution monitoring and control system is estimated at $2796. This cost projection serves to exemplify the techno-economic analysis of the system, showcasing its potential to contribute to a cleaner environment and facilitate renewable energy utilization. The different financial model payback periods of the system are from 3.12 to 5.21 years. The developed system benefits people with respiratory health issues, elderly people, children, and infants, sports enthusiasts, traffic police persons, street hawkers or vendors, and people living in areas where the pollution level is high.

Development of an Automatic Solar Tracker Control System for a Tandem-Winged UAV and Its Implementation Strategies

Solar power is a popular option for powering Unmanned Aerial Vehicles (UAVs) due to its ability to provide power for long-endurance flight. However, solar-powered UAVs face challenges, including operational reliability problems. To address their operational reliability issues, this paper proposes an automatic solar tracker system and tests two implementation strategies for controlling a tandem-winged and solar-powered UAV, developed by the Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung. Due to its unconventional configuration, a mathematical model for the UAV is developed to evaluate the vehicle’s dynamic characteristics. Based on these, three feedback control systems are designed, i.e., roll attitude control, a heading tracker, and a solar tracker. Two implementation strategies are proposed to combine the control systems, i.e., the mode-switching and the simultaneous tracking strategies. A series of simulations are then conducted to check the vehicle’s overall flight performance, as well as the gathering of solar energy. The mode-switching strategy was able to gather up to 13% more solar energy than the simultaneous strategy, which could only reach slightly above 2%. Mode-switching, however, resulted in a shorter range compared to the latter, due to the time spent in the charging mode, flying in a circular pattern.

Controller Design for Parallel Mechanism Solar Tracker

Solar energy is considered a sustainable solution that has proven its technological competence for electricity generation among renewable energy sources. While green resources provide high energy security, they also reduce environmental pollution and support the use of local resources. In this article, a dual axis solar tracker that can operate with high accuracy in harsh operating conditions is proposed using the Stewart platform. The Stewart platform is designed using linear actuators using direct current (DC) motors. An embedded controller is designed to control the motors and to realize the sun tracking algorithm of the system. An STM32 board is adopted as a real-time controller to implement the decoupled control algorithm. Therefore, the proposed solar tracker panel control system monitors the daily trajectory of the sun by the photovoltaic panel, ensuring that the system’s energy production remains at its maximum throughout the day. First, the Simulink model of the system was created and the proportional derivative integral (PID) control algorithms were simulated. Experimental studies were carried out by producing the system; the experimental results exhibited a better performance, with an increase in the collected energy of about 32% compared with the fixed one.

Renewable Energy Heat Source Desing and Modelling

Rising fossil fuel prices and growing environmental awareness are leading to a search for alternative energy sources for heating. This paper deals with the design of a heat source based on the use of renewable energy sources. The aim is to propose an efficient, sustainable, and environmentally sustainable solution that minimizes the negative impact on the environment and contributes to the reduction of greenhouse gas emissions. In the introductory part of this paper, the status and importance of using renewable energy sources for heat generation compared to traditional fossil fuels is assessed. The next section focuses on the detailed design and modelling of such a system, analysing various parameters and factors such as available solar energy, control and regulation system, energy conversion efficiency, heat storage and distribution of the heating system.

Design and Development of a Solar- Powered UAV Using IoT and Machine Learning

The proposed solar-powered UAV utilizes photovoltaic panels to convert solar energy into electrical power to supply the onboard electronic systems, including the propulsion system and sensors. To enhance the UAV's performance, loT technology is employed to enable the communication and coordination of the UAV with other connected devices, such as ground stations and sensors. This allows for real-time data collection and analysis, as well as improved situational awareness for the UAV. To optimize the performance of the UAV, SVM is used as a machine learning algorithm for object detection and classification. SVM has been widely used in UAVs to detect and classify objects in aerial images, and has been proven to be effective in a variety of applications. The proposed design utilizes SVM to detect and classify objects of interest, such as crops, buildings, and infrastructure, and to assist in the navigation and control of the UAV. The design and development of the proposed solar-powered UAV involves several key components, including the solar panels, propulsion system, control system, and communication system.

Design of solar cell using mirror, cooling, double axis, and solar tracking

Fossil energy sources are dwindling. It is necessary to develop alternative energy sources for future energy. The solar cell is an alternative energy that can be used in Indonesia. The current challenge is utilizing solar panels for the best possible power production. This research gives the solution to design an increase in solar cell output power by using mirrors, cooling, and a double-axis solar tracking control system. The results show that using a mirror, cooling, and double-axis solar tracking produces optimal output power with a current and power are 2.43 amperes and 40.3 watts, respectively. Meanwhile, several factors can affect this solar panel's efficiency. Specifically, the amount of solar radiation that the solar panel can receive depends on the climate on the day and location of the research and the solar panel's dimensions.

Design of Solar Panel Tracking Control System

This paper analyzes the overall scheme design, circuit design and PLC control program design of the system, and expounds the application research of realizing the conversion of solar energy to electric energy based on PLC control technology. With the development of economy and the progress of society, people put forward higher and higher requirements for energy. Finding sustainable development and green energy is one of the major issues facing mankind in this century and beyond. Developing new energy sources and making full use of existing energy sources have received great attention from scientists all over the world. As an inexhaustible and clean energy, solar power generation will get unprecedented development. With the development and industrialization of solar energy technology, its cost performance and efficiency will be greatly improved. Therefore, this design has high feasibility, practicality and energy conservation and environmental protection value.