Solar Panels Research Articles

Integrating Deep Learning and Energy Management Standards for Enhanced Solar–Hydrogen Systems: A Study Using MobileNetV2, InceptionV3, and ISO 50001:2018

This study addresses the growing need for effective energy management solutions in university settings, with particular emphasis on solar–hydrogen systems. The study’s purpose is to explore the integration of deep learning models, specifically MobileNetV2 and InceptionV3, in enhancing fault detection capabilities in AIoT-based environments, while also customizing ISO 50001:2018 standards to align with the unique energy management needs of academic institutions. Our research employs comparative analysis of the two deep learning models in terms of their performance in detecting solar panel defects and assessing accuracy, loss values, and computational efficiency. The findings reveal that MobileNetV2 achieves 80% accuracy, making it suitable for resource-constrained environments, while InceptionV3 demonstrates superior accuracy of 90% but requires more computational resources. The study concludes that both models offer distinct advantages based on application scenarios, emphasizing the importance of balancing accuracy and efficiency when selecting appropriate models for solar–hydrogen system management. This research highlights the critical role of continuous improvement and leadership commitment in the successful implementation of energy management standards in universities.

Innovative Solar Water Pump with Automatic Water Level Regulator for Efficiency Rice Field Irrigation

Nowadays, most of human activities are related to the use of technology. The invention of various innovative ideas that simplify human life is essential. One of the uses advancement technologies can applied in agricultural field, especially for irrigation processes since it becomes the critical step in agricultural activity since it ensures that plants receive an adequate water. Due to the importance of irrigation, this community service activity aimed to provide information on how to build a solar pump for irrigation purposes and implement an innovative solar water pump with automatic water level control to improve the efficiency of irrigation of rice fields in Bekiung Village. The system is designed using solar panels as the main energy source, minimizing dependence on conventional electricity and fossil fuels. With the integration of water level sensor and automatic control system, the pump is able to adjust the water supply in real-time based on the actual needs of rice plants. Field tests show that the system is able to provide water consistently and efficiently, reducing water and energy wastage. The implementation of this technology not only improves irrigation efficiency, but also supports environmentally friendly sustainable agriculture. The results of this study are expected to serve as a model for other villages facing similar challenges in irrigation water management.

Effect of overheating on the efficiency of solar panels - study of temperature above 480C

The impact of heat exposure on solar panels can be very significant, not only in terms of energy losses but also in terms of the reliability of systems in the short and long term. The main PV performance parameter can be reduced; how low the power output is due to heat-induced efficiency degradation depends on the specific microclimate as well as the temperature response of the individual unit. In this paper, experiments are conducted in the laboratory of Adrar University on a monocrystalline panel with a power of 200 watts. Exposed to variable solar radiation at different times of the day. The voltage and current are measured through all stages of experimentation according to regular standards. The results show that the efficiency of the panel decreases between 4% to 10% when the amount of solar radiation increases from 572 W/m2 to 780W/m2. This corresponds to a rise in temperature between 35C0 and 49C0. These results give researchers a general picture of the changes that occur in the solar panel when it is in similar conditions.

Efficient Power Conditioning: Enhancing Electric Supply for Small Satellite Missions

Electric power supply (EPS) is the heart of any aerospace mission and plays an important role in improving the performance and service lifetime of spacecraft. It generates, converts, stores, and distributes power to different voltage levels. The EPS is composed of solar panels, a power conditioning unit (PCU), batteries, and a power distribution unit (PDU). This paper describes the design and analysis of an efficient power conditioning system for a CubeSat standard small satellite. For this purpose, the aim of this paper is to propose a two-input maximum power point tracker (MPPT)-based interleaved boost converter. The design copes with the fact that when a satellite revolves around the Earth, a single panel or at most two panels face solar radiation at different angles. In order to extract maximum power from the panels, the designed converter drives the solar panels at the maximum power point (MPP). A small signal model is drawn for the converter, and the closed-loop gain of the converter is analyzed using a Bode diagram. To improve the phase margin and gain, a PID compensator is designed and added to the closed loop of the converter. Finally, the performance of the proposed converter is validated by the simulation results.

Dual MPPT Algorithm Implementation in Solar Charge Controller

The implementation of a Dual Maximum Power Point Tracking (MPPT) algorithm in a solar charge controller is aimed at enhancing the efficiency of solar energy utilization. This algorithm optimizes power extraction from solar panels by dynamically adjusting the operating point to track the maximum power output under varying environmental conditions. By utilizing two MPPT trackers, the controller can efficiently handle scenarios with multiple peaks in the power-voltage curve, common in partially shaded or non-uniformly illuminated panels. This implementation involves real-time monitoring of panel voltages and currents, coupled with intelligent algorithms to swiftly respond to changes in irradiance levels. Through advanced control strategies, such as Perturbation and Observation (P&O) or Incremental Gradient (Incgrad), the system maximizes energy harvest, improving overall system performance and reliability.

Enhancing the Efficiency and Stability of Inverted Perovskite Solar Cells and Modules through Top Interface Modification with N‐type Semiconductors

The interface modification between perovskite and electron transport layer (ETL) plays a crucial role in achieving high performance inverted perovskite photovoltaics (i‐PPVs). Herein, non‐fullerene acceptors (NFAs), known as Y6‐BO and Y7‐BO, were utilized to modify the perovskite/ETL interface in i‐PPVs. Non‐polar solvent‐soluble NFAs can effectively passivate surface defects without structural damage of the underlying perovskite films. Additionally, the improved PCBM ETL induced by NFAs modification significantly accelerates the electrons extraction. As a result, both Y6‐BO and Y7‐BO exhibit more effective interface modification effects compared to traditional PI molecules. The power conversion efficiency (PCE) of the inverted perovskite solar cell (i‐PSC) modified with Y7‐BO reaches 25.82%. Moreover, the adoption of non‐polar solvents and the superior semiconductor properties of Y7‐BO molecules also enable perovskite solar modules (i‐PSM) with effective areas of 50 cm2, 400 cm2, and 1160 cm2 to achieve record efficiencies of 23.05%, 22.32%, and 21.1% (certified PCE), respectively, making them the best PCE reported in the literature. Importantly, enhanced interface mechanical strength between the perovskite and PCBM layer results in significantly improved environmental and operational stability of the cells. The cells modified with Y7‐BO maintained 94.4% of the initial efficiency after 1522 hours of maximum power point aging.

Enhancing the Efficiency and Stability of Inverted Perovskite Solar Cells and Modules through Top Interface Modification with N-type Semiconductors.

The interface modification between perovskite and electron transport layer (ETL) plays a crucial role in achieving high performance inverted perovskite photovoltaics (i-PPVs). Herein, non-fullerene acceptors (NFAs), known as Y6-BO and Y7-BO, were utilized to modify the perovskite/ETL interface in i-PPVs. Non-polar solvent-soluble NFAs can effectively passivate surface defects without structural damage of the underlying perovskite films. Additionally, the improved PCBM ETL induced by NFAs modification significantly accelerates the electrons extraction. As a result, both Y6-BO and Y7-BO exhibit more effective interface modification effects compared to traditional PI molecules. The power conversion efficiency (PCE) of the inverted perovskite solar cell (i-PSC) modified with Y7-BO reaches 25.82%. Moreover, the adoption of non-polar solvents and the superior semiconductor properties of Y7-BO molecules also enable perovskite solar modules (i-PSM) with effective areas of 50 cm2, 400 cm2, and 1160 cm2 to achieve record efficiencies of 23.05%, 22.32%, and 21.1% (certified PCE), respectively, making them the best PCE reported in the literature. Importantly, enhanced interface mechanical strength between the perovskite and PCBM layer results in significantly improved environmental and operational stability of the cells. The cells modified with Y7-BO maintained 94.4% of the initial efficiency after 1522 hours of maximum power point aging.

RELOKASI SISTEM PANEL SURYA UNTUK KEPERLUAN POMPA AIR DI PANTAI GRIGAK GUNUNG KIDUL

The Grigak Beach community experiences difficulty obtaining clean water, especially during the dry season. The lack of duration of the solar panel system that powers the water pump in the drilled well is the cause. Therefore, an effort was made to relocate the solar panel system from the previous location to a new location, which allows the solar panel system to have a longer lifespan. The community service that was carried out successfully relocated the solar panel system from the old location to the new one. The solar panel system can have a lifespan of about two hours longer.

Energy Efficiency and Economic Survivance Appraisal of a 375 kWp Rooftop Solar PV System Under Hot and Dry Indian Climate

ABSTRACTIndia's rooftop solar photovoltaic (PV) installations are experiencing rapid growth due to favorable regulations. As climate change becomes a growing concern, researchers are turning their attention to the effects of weather patterns on the performance of rooftop solar panels, and also to optimize their efficiency in a changing environment. Consequently, industry players in the solar sector have been conducting performance validation and feasibility assessments of these plants. A 375 kWp rooftop PV plant is studied as a case example from April 1, 2022 to March 31, 2023, generating 543,666 kWh annually for the grid. The NMBE and MBE were assessed using simulation tools like PVGIS and PV Watts. In addition, a cost–benefit analysis of carbon credits was conducted with and without their inclusion. The energy payback time is calculated at 4.5 years post‐inclusion. Over a 25‐year lifespan, the embodied energy of the PV plant amounts to 2,552,265 kWh. This plant can mitigate CO2 emissions annually by 10,173.57 tons which is equivalent to INR 5,464,925. The current study highlights both environmental and economic benefits by incorporating carbon credits into the project. Further advancement in simulation tools, PV technologies, climate change adaptations are expected which will improve the rooftop system efficiency with shorten pay pabck periods and maximum reductions in CO2 emissions.

Exploration of the application of solar energy technology in the field of new energy vehicles

Due to the harsh effects of fossil fuels on the world, researchers are paying more attention to the application of new energy sources. This paper explores the possibility to support electric vehicles with solar energy by demonstrating the design of a solar cooling system and a solar parking lot in a large flat area and workspace. The use of solar energy in electric vehicles can help control some systems such as cooling systems. Solar panels are used in some large flat parking area to collect and invert solar energy for parking electric vehicles’ charging. Solar panels are able to help charge electric vehicles during the workday by setting them on the surface of working area. However, due to the limitations of solar energy, solar panels are very much in need of good weather and direct sunlight. Therefore, solar energy cannot be the only source to support other powered vehicles. In the future, developments in other areas such as inverters and converters, solar panels, and nanotechnology may make the use of solar energy in green energy vehicles possible.

A novel proposal of using solar panels mounted on wind turbines for enhancement of power generation

To increase power generation, the next generation wind turbines are focusing more on hybrid systems. There is always a demanding need for more efficient wind power generation systems. In view of the improvements in the known types of turbines now available in the prior art, the present work proposes a novel hybrid wind and solar turbine construction wherein the same can be utilized for generating additional electrical power. A practical and feasible combination of wind turbine and solar panels has been designed. In this proposed novel arrangement, solar panels are secured to the surface of nacelle heli-hoist to supplement the power generation of a wind turbine.

Efficiency Ranking of Photovoltaic Microinverters and Energy Yield Estimations for Photovoltaic Balcony Power Plants

The market for microinverters is growing, especially in Europe. Driven by rising electricity prices and an easing in legislation since 2024, the number of mini-photovoltaic energy systems (mini-PVs) being installed is increasing substantially. Indoor and outdoor studies of microinverters have been carried out at Paderborn University since 2014. In the indoor lab, conversion efficiencies as a function of load have been measured with high accuracy and ranked according to Euro and CEC weightings; the latest rankings from 2024 are included in this paper. In the outdoor lab, energy yields have been measured using identical and calibrated crystalline silicon PV modules; until 2020, measurements were carried out using 215 Wp modules. Because of increasing PV module power ratings, 360 Wp modules were used from 2020 until 2024. In 2024, the test modules were upgraded to 410 Wp modules, taking into account the increase from 600 W to 800 W of inverter power limits, which is suitable for simplified operation permission (“plug-in”) in many European countries within a homogenised legislation area for such mini-photovoltaic energy systems or “balcony power plants”. This legislation for simplified operation also covers overpowered mini-plants, although the maximum AC output remains limited to 800 W. Presently, yield assessments are being carried out in the outdoor lab, which will take at least a year to be valid and comparable. Kits consisting of PV modules, inverters, and mounting systems are also being evaluated. Yield rankings sometimes differ from efficiency rankings due to the use of different MPPT algorithms with different MPP approach speeds and accuracies. To accelerate yield assessment, we developed a novel, simple formula to determine energy yield for any module and inverter configuration, including overpowered systems. This is a linear approach, determined by just two coefficients, a and b, which are given for several inverters. To reduce costs, inverters will be integrated into the module frame or the module terminal box in the future.

MPPT Solar Controller: A Theoretical Design and Prototype Development

This paper discusses the theoretical design and ongoing prototype development of a Maximum Power Point Tracking (MPPT) solar controller system aimed at efficient energy harvesting and smart load management. The system is designed to optimize energy extraction from a solar panel using MPPT algorithms, with smart load management for real-time power distribution. The controller incorporates cloud-based monitoring, AI optimization, and a user-friendly interface. The system is expected to deliver robust, efficient, and safe operation under varying environmental conditions

Diagnosis of solar panels using Fuzzy logic with a recursive method

The article presents an innovative methodology for diagnosing faults in solar panels using an approach that combines fuzzy logic and recursive least squares (RLS). The main objective of the study is to develop a robust and accurate diagnostic system capable of detecting and locating faults in solar panels. The proposed method uses fuzzy logic to model the complex relationships between the parameters of the solar panel, such as brightness, temperature, voltage, current, and the operating state of the solar panel. Recursive least squares (RLS) are integrated into the diagnostic system to dynamically update the fuzzy parameters of the model based on new observations and real data from the solar panel. This approach allows continuous adaptation of the diagnostic model to changes in environmental conditions and the operation of the solar panel. The results demonstrate the effectiveness and accuracy of the proposed diagnostic system, with a high capability to detect and locate different types of faults in solar panels.

Comparative numerical study of the energy performance of two different configurations of a hybrid photovoltaic/thermal air collector

Solar energy is a renewable alternative to fossil fuels. When solar energy is converted into electricity by photovoltaic (PV) solar modules, the heat generated increases the temperature of the PV solar cells and, as a result, reduces their electrical efficiency. Several techniques are used to cool PV solar cells in order to reduce their operating temperature. One technique is the use of hybrid photovoltaic/thermal (PVT) solar collectors, which simultaneously produce electricity and useful heat. In the airflow channel, the heat and mass transfer equations and those derived from the energy balance on the solid layers of the collector were discretized using the finite difference method with an implicit alternating directions (ADI) scheme. All the algebraic equations obtained after discretization were solved using the Thomas algorithm. The aim is to make a numerical comparison of the energy performance of the Verre-PV-Tedlar and Verre-PV-Verre flat-plate air PVT hybrid solar collectors in the climatic conditions of Lomé, Togo. Under the same operating conditions, the average electrical efficiencies of the Verre-PV-Verre and Verre-PV-Tedlar flat-plate air PVT hybrid collectors are 15.34% and 13.85% respectively. There is a 1.49% improvement in electrical efficiency for a Verre-PV-Verre air-source PVT hybrid collector compared with a Verre-PV-Tedlar PVT hybrid collector. The Verre-PV-Verre flat plate PVT air hybrid collector has an average daily electrical energy gain of 0.564 kWh and a thermal energy gain of 0.839 kWh, while the Verre-PV-Tedlar flat plate PVT air hybrid collector has an average daily electrical energy gain of 0.548 kWh and a thermal energy gain of 1.403 kWh.

Efficiency Maximization: Real-Time Solar Panel Monitoring with Bluetooth Connectivity

Efficiency Maximization: Real-Time Solar Panel Monitoring with Bluetooth Connectivity

On the Construction of Energy Efficiency-based Degradation Indicator for Photovoltaic Solar Inverters

Photovoltaic systems are essential in the renewable energy sector, addressing global energy needs. PV inverters, which convert DC from solar panels to AC for grid use, are the most failure-prone components in these systems. This study aims to develop a degradation indicator based on energy efficiency for PV inverters to enhance their reliability and lifetime management. Through analysis of data from 35 PV plants in central Europe, involving eight inverter brands and fourteen models, this research identifies trends in inverter efficiency degradation. Despite literature suggesting minimal efficiency impact over time, our findings demonstrate measurable efficiency degradation, providing a new key performance indicator for proactive maintenance and replacement strategies.

Solar Panel Light Intensity and Voltage Measurement System Using Atmega 328

This research explores the development of a real-time measurement system for light intensity and voltage in solar panels. It utilizes the ATmega328 microcontroller with an INA219 sensor for voltage measurement, a BH1750 sensor for light intensity measurement, and a logger module. The objective of this research is to assist and reduce losses in the use of solar panels. The research method is a simplified version of the 4D model, reduced to 3D: define, design, and develop. This system is designed to accurately collect data directly from solar panels, with a recorded data error rate of 23%. The gathered data is stored via an SD card on the logger module and converted into CSV text format. Test results indicate that this system can measure accurately and store data in a readily accessible and processable format. ATmega328, as the system's core, allows accurate real-time monitoring of solar panel conditions while storing data in CSV format, facilitating further analysis. Therefore, this system can be a valuable tool for monitoring and enhancing the energy efficiency produced by solar panels.

Validation of a computational model for atmospheric pollution emanating from an industrial chimney using a solar based instrumentation system

This study examines the atmospheric dispersion of pollutants from industrial chimneys, highlighting the importance of assessments both before and after installation to safeguard public health and the environment. A Vantage Pro2 Plus weather station, powered by a solar panel, was used to continuously collect accurate meteorological data, which informed a Gaussian model for pollutant dispersion. The results revealed that the predominant wind direction is towards the east, with pollution mainly affecting areas between the southeast and northeast. Seasonal variations showed broader dispersion during winter that exceeds 4500 meters of large at a distance of 10 kilometers from the source during the day and higher pollutant concentrations at night that can reach 5.10-6 g/s, compared to a maximum of 10-6 g/s during other times. The study demonstrates that lower temperatures result in higher concentrations over smaller areas, whereas higher temperatures cause wider dispersion with lower concentrations. These findings support decision-making for optimal chimney placement, ongoing monitoring, and emergency planning. The integration of solar-powered weather stations and real-time data visualization significantly improves the efficiency of environmental monitoring and management.

The Way Forward in the Energy Transition; Good Practices and Challenges at Wageningen University & Research

Reducing greenhouse gas (GHG) emissions due to changes in energy used in buildings is the most successful part of Wageningen University & Research’s (WUR) climate policy. In this article the authors evaluate sustainable energy measures and identify key success factors, based on internal documents, discussions with stakeholders, and relevant literature. The role of government and stakeholders has been important, as were the technical possibilities to take a major step with constructing the heat and cold storage on campus. Geopolitical factors also played a role, in particular the war in Ukraine, which increased energy prices, acutely reinforcing the need for energy savings. In addition to saving energy, WUR aims to contribute to the energy transition by generating green electricity with wind turbines and solar panels. Furthermore, electricity used from the grid is offset with wind energy through Dutch guarantees of origin (GVOs), allowing us to offset GHG emissions for electricity at zero. Yet, there are other reasons to save as much as possible on electricity use. In addition to environmental considerations, congestion of the electricity grid plays a role, which is largely associated with the energy transition. Looking ahead, we describe further potential energy reduction opportunities and related challenges. As described in the Rough Outline of WUR Energy Transition 2050 [1], WUR provides clear targets and possible sets of measures to achieve these targets. Challenges include the uncertainty surrounding technological solutions and the availability of funding. We recently expanded our carbon footprint to include Scope 3 emissions of purchased goods and services. An additional challenge is the reduction of implicit energy use through the purchasing chain.