Solar System Research Articles

Thermal solar Fenton reactor: degradation of Eosin Y dye catalyzed by Fe galvanic release and temperature evaluation by CFD simulation.

The aim and innovation of this research is to evaluate a Solar Thermal Galvanic Fenton System (STGF) for the aqueous solution treatment of Eosin Y dye (EYD), using a Fe catalyst from an Fe-Cu galvanic cell, where thermal energy is captured and supplied through a cylindrical parabolic concentrator (CPC). The optimal conditions were determined using a Box-Behnken experimental design; the effects of the dose of H2O2 (100mg/L, 200mg/L, and 300mg/L), Fe-Cu catalyst ratio (0.1, 0.2, and 0.3), and hydraulic retention time (HRT) (10min, 20min, and 30min) were studied; the initial concentration of EYD was 50mg/L. The response variables were the percentage removal of chemical oxygen demand (COD), turbidity, color (Pt-Co U), and EYD. At the optimal COD removal conditions (10min HRT, 0.3 catalyst ratio, and 100mg/L H2O2), the removal efficiencies were 93.52% COD, 96.88% turbidity, 88.75% color, and 97.13% dye at 61.8°C. Under the same operating conditions, temperature has a significant effect on treatment, and the removal efficiencies were 0.0% COD, 2.5% turbidity, 1.3% color, and 6.4% dye at 19.5°C. It was observed that temperature has a significant effect on treatment; this is because the Fenton reaction can be accelerated by increasing the temperature, which improves the generation rate of ●OH. Computational fluid dynamics (CFD) analysis indicated that the flow rates and velocity influenced the temperature distribution reached by the TSGF system; therefore, the HRT in the process operation had a significant effect on COD removal at higher temperatures and lower efficiencies. An increase in the temperature can improve the removal efficiency of persistent pollutants in Fenton reactions. The main advantages of the STGF system are sustainability, self-contained, inexpensive, and portable, which makes its operation easier in remote locations.

“Real-Time Fault Detection and Energy Analysis in Rooftop Solar Systems Using IOT and WSN”

Abstract - Rooftop solar panel deployment has expanded as a result of the rising reliance on renewable energy. Real-time monitoring solutions that are effective are necessary to guarantee their consistent performance. This study presents a smart monitoring system that tracks rooftop photovoltaic (PV) system performance by utilizing the Internet of Things (IoT) and Wireless Sensor Networks (WSN). To gather important operating information including voltage, current, temperature, and sun irradiance, the system uses a dispersed network of sensors. A centralized IoT platform receives these data wirelessly, processes them, and displays the results for users. The suggested approach improves system dependability and energy efficiency by facilitating remote access, real-time alarms, and data-driven maintenance choices. Widespread rooftop solar applications can benefit from WSN's scalability and low power usage. This strategy offers a workable and affordable way to raise the effectiveness and administration of solar energy systems in homes and businesses. keywords: IoT (Internet of Things), Wireless Sensor Networks (WSN), Rooftop Solar Panels, Smart Monitoring System, Photovoltaic (PV) Performance Tracking

3D Monte Carlo calculation of the inverse Compton emission from the Sun and stars in the presence of magnetic and electric fields

The solar steady emission in gamma rays is due to the interactions of Galactic cosmic rays with the solar atmosphere and with the low-energy solar photon field via inverse Compton scattering. The emission is sensitive to the magnetic field nearby the Sun and to the cosmic-ray transport in the magnetic field in the inner Solar System. Modeling the inverse Compton emission in the presence of a magnetic field is, therefore, crucial to better interpret the observations. In a previous work, we have presented a comprehensive calculation of the secondary productions due to the collision of cosmic rays with the solar atmosphere in the presence of magnetic fields. In this paper, we present a general approach to calculate the (anisotropic) inverse Compton scattering in a 3D Monte Carlo simulation, also in the presence of magnetic and electric fields. After a short review of the scattering process of photons with electrons, examples of inverse Compton emission are presented, including the predictions for the Sun. Published by the American Physical Society 2025

Optimization and dimensioning of stand-alone systems: enhancing MPPT efficiency through DLGA integration

This paper explores optimizing and sizing stand-alone solar power systems using an intelligent maximum power point tracking (MPPT) method, enhanced by artificial neural networks (ANN). The study focuses on both system sizing and energy optimization, integrating genetic algorithms (GA) with deep learning (DL) to optimize the architecture of the ANN for improved performance in predicting solar energy output. The hybrid method, deep learning genetic algorithms (DLGA), efficiently reduces computational complexity and enhances flexibility through parameter tuning, significantly improving the performance of multi-layer perceptron networks. Additionally, a precise sizing methodology based on solar irradiance data was implemented to ensure the system is neither oversized nor undersized. The system's performance was tested and validated using MATLAB/Simulink simulations, which demonstrated superior predictive accuracy, faster convergence, and optimized energy capture. This combined approach of intelligent MPPT and accurate sizing presents a highly effective solution for improving the efficiency and reliability of stand-alone solar energy systems under varying environmental conditions.

Grid connected solar water pumping system

A grid-connected solar water pumping system (SWPS) uses solar power to pump water while simultaneously drawing power from the grid when necessary. These systems can benefit farmers in a variety of ways, including reliable power, lower electric bills, increased income, and improved economic viability. This study explores a solar photovoltaic (SPV) water pumping system designed to function with a single-phase distribution network. It utilizes an induction motor drive (IMD) and incorporates an advanced power-sharing technique for optimal performance. In addition to transferring power from SPV to IMD, a DC-DC boost converter functions as a grid interface and power factor adjustment device. Maximizing the power extracted from the SPV array is critical for optimizing its utilization. To do this, a control mechanism based on incremental conductance is implemented to track maximum power points. Simultaneously, the IMD connected to the power source inverter is regulated using a simple volt/frequency approach. The suggested system, which includes standalone, grid-interfaced, and mixed-mode situations, is developed and validated in a lab.

Revolutionizing Potato Drying: Performance Insights from Hybrid Solar Drying Systems

This study investigates the performance of a hybrid solar dryer designed for the efficient drying of potato slices, aiming to address the challenges associated with conventional drying methods. The primary objectives were to evaluate the moisture removal rate (MRR) of the hybrid solar dryer and compare its effectiveness with traditional solar drying techniques. Through a series of experiments conducted from May to December 2024, the hybrid dryer demonstrated an impressive average MRR of 182.8 g/h, significantly outperforming both conventional (typically 150–180 g/h) and indirect solar dryers. The findings revealed that the hybrid system not only reduced drying time but also preserved the quality of the dried products, ensuring minimal nutrient loss. The MRR ranged from 158.4 g/h in December to 198.3 g/h in May, showcasing stable performance despite climatic fluctuations. Comparative analyses highlighted the superior efficiency of the hybrid design, making it a viable solution for food preservation, particularly in regions with ample sunlight. Additionally, the study emphasizes the importance of sustainable food processing technologies in enhancing food security and reducing agricultural waste. This research contributes valuable insights into the development of innovative drying solutions that can be effectively implemented in various agricultural settings, promoting better utilization of solar energy for food preservation. Future studies could explore further optimizations and integrations to enhance the performance of solar drying systems.

IMPROVING LEARNING OUTCOMES OF 6TH GRADE STUDENTS AT SDN 2 PALEMBANG ON ECLIPSE AND SOLAR SYSTEM TOPICS ASSISTED BY AUGMENTED REALITY

This study aims to improve the learning outcomes of 6th-grade students at SD Negeri 2 Palembang on the topics of eclipses and the solar system through the use of Augmented Reality (AR) media. The Classroom Action Research (CAR) was conducted in two cycles, with each cycle encompassing planning, implementation, observation, and reflection stages. The research subjects were 35 students who were guided using AR media to visualize abstract concepts about the solar system and eclipse phenomena. Data were collected through pre-tests, post-tests, student activity observation sheets, and questionnaires regarding students' responses to the use of AR. The results showed a significant improvement in student learning outcomes from Cycle I to Cycle II. The average post-test score increased from 15.46 in Cycle I to 18 in Cycle II, with an overall average improvement of 6.94 points. Additionally, the success indicators were achieved, with 91% of students showing active engagement in the learning process. The use of AR also had a positive impact on students' motivation to learn and their social skills, such as the ability to discuss and collaborate in groups. However, technical challenges like network issues and infrastructure limitations need to be addressed to optimize the use of AR in the classroom. This research concludes that AR-based learning can be an effective solution to enhance students' understanding of solar system and eclipse topics, particularly for the 6A grade students at SDN 2 Palembang.

Comparison of MPP methods for photovoltaic system

Solar electricity is usually a ubiquitous photovoltaic (PV) power source that converts sunlight into electricity. This makes solar energy a key factor in meeting the growing global demand. However, solar energy production from photovoltaic cells can be limited by many factors, so the power source needs to be optimized to reach the maximum level. One of the crucial technologies to enhance the power production of photovoltaic structures is maximum power point tracking (MPPT) measurement. This technology increases energy production by providing many advantages such as security, freedom, maximum energy efficiency, and environmental protection. MPPT continuously monitors the maximum power point of the photovoltaic structure to ensure the system operates at peak efficiency. This technology is indispensable in today’s solar systems, enabling the use of solar energy and reducing dependence on fossil fuels. By optimizing solar energy production, MPPT technology plays a crucial role in supporting the future of energy. It helps reduce climate change and promotes environmentally friendly practices through the use of renewable energy. MPPT technology also increases solar reliability, reduces maintenance costs, and improves overall performance. This makes MPPT an essential part of the modern solar system, ensuring they are efficient and effective.

Evaluation and comparison of drying models in open sun drying and photovoltaic and LPG burner assisted hybrid solar drying system

Evaluation and comparison of drying models in open sun drying and photovoltaic and LPG burner assisted hybrid solar drying system

Cost optimization of green hydrogen production from floating solar photovoltaic system

Cost optimization of green hydrogen production from floating solar photovoltaic system

Evaluation of thermal performance and efficiency enhancement potential of low-temperature operation strategies in solar district heating systems

Evaluation of thermal performance and efficiency enhancement potential of low-temperature operation strategies in solar district heating systems

Optimization of solar thermoelectric systems operating under non-uniform irradiation

Optimization of solar thermoelectric systems operating under non-uniform irradiation

A comprehensive insight into solar drying systems for agricultural and industrial applications

A comprehensive insight into solar drying systems for agricultural and industrial applications

Open-source portable solar power supply for plasma generators.

Non thermal plasmas created by dielectric barrier discharge can break down methane directly to constituent elements without carbon dioxide emissions to produce a high-purity hydrogen and byproduct of solid carbon. To fulfill the environmental promise of plasma generators they must be powered with sustainable energy sources such as solar photovoltaic (PV) systems. There is a need to overcome the limitations of past approaches to power plasma systems to develop a completely open source solar PV system design capable of providing the necessary high-quality power. To overcome this research gap, this article provides a customizable open-source PV-powered design for plasma generators, which allows off-grid operation. This design facilitates the modification of existing lab-grade plasma generator setups into portable solar-powered systems. The open source inverter provides for AC loads at both 120V and 230V and has an acceptable total harmonic distortion of 3.58%. The system was successfully able to power plasma generation and produce high quality plasmas with methane. Plasma generators are highly sensitive to any input voltage variation and power oscillation and the open source system provided higher power applied to the plasma reactor, which resulted in increased CH4 conversion by 60.5% and H2 production 44.7% compared to grid supply.

Optimal design and technoeconomic analysis of on-site hydrogen refueling station powered by wind and solar photovoltaic hybrid energy systems

Optimal design and technoeconomic analysis of on-site hydrogen refueling station powered by wind and solar photovoltaic hybrid energy systems

Design and performance analysis of solar PV-battery energy storage system integration with three-phase grid

Design and performance analysis of solar PV-battery energy storage system integration with three-phase grid

Global peak operation of solar photovoltaic and wind energy systems: Current trends and innovations in enhanced optimization control techniques

Global peak operation of solar photovoltaic and wind energy systems: Current trends and innovations in enhanced optimization control techniques

Performance and degradation analysis of sodium-ion battery integrated with solar photovoltaic system for microgrid applications

Performance and degradation analysis of sodium-ion battery integrated with solar photovoltaic system for microgrid applications

Life cycle assessment and CFD evaluation of an innovative solar desalination system with PCM and geothermal system

Life cycle assessment and CFD evaluation of an innovative solar desalination system with PCM and geothermal system

Integrated solar energy-energy storage system for an electricity-freshwater multigeneration configuration: Exergo-economic assessment with multi-objective particle swarm optimization

Integrated solar energy-energy storage system for an electricity-freshwater multigeneration configuration: Exergo-economic assessment with multi-objective particle swarm optimization