Performance Of Solar Panel Research Articles

Investigating photovoltaic module performance using aluminium heat sink and forced cold-air circulation method in tropical climate conditions

Solar energy is seen as a good option to replace fossil fuels in electricity generation. However, PV panels produce unnecessary heat energy during power generation which increases the temperature and affects the efficiency of PV cells. This article investigates the performance of PV modules using aluminum heat sinks and forced air cooling techniques. A cooling circuit configuration connecting a 6-inch pipe plenum with 5 T-shaped pipes is installed under the solar cell to provide better cold air distribution to the PV panels. The study was conducted on-site and in real-time conditions in a public hospital with high energy consumption as it operates continuously throughout the year. The combination of the two methods has optimized the performance of solar panels in terms of efficiency and electrical energy output. The average electrical efficiency of the studied PV panels is 17% and is very close to the PV module efficiency of 19.38% under standard test conditions (STC). The actual energy yield recorded for the installed PV panel is 12.35% higher than the estimated solar energy output under nominal operating cell temperature (NOCT) conditions. The results of the study show that solar energy generation can be optimized by considering the design, use of materials and proper cooling methods even when using the same solar panel.

Realtime Monitoring System of Solar Panel Performance Based on Internet of Things Using Blynk Application

Renewable energy is one of the options to meet the increasing energy needs. As a tropical country, Indonesia has great potential for solar energy development. At this time, solar panels have been built in places exposed to direct light. However, monitoring solar panels is still performed manually using a multimeter by operators or field officers, so it cannot be performed in real-time. Real-time tracking is carried out to prevent damage and decreased performance of solar panels. Hence, we designed a real-time solar panel monitoring system based Internet of Things (IoT) using the Blynk application on a smartphone. Based on the test between the measuring instrument and the Blynk application, the error percentage is 0.59% for voltage testing, 0.0001% for current testing, 1.03% for power testing, and 2.09% for temperature testing. A strong internet connection will significantly affect the performance of solar panels in real-time. This research is expected to monitor solar panel parameters remotely via a smartphone without having to come to the location and make it easier for users to monitor.

Studies on improvement of solar PV panel performance

Studies on improvement of solar PV panel performance

Monitoring Pengaruh Suhu Pada Panel Surya Terhadap Performa Keluaran Pembangkit Listrik Tenaga Surya

The sun is an alternative energy source that is currently being utilized, by using solar panels to capture light and process it into the electrical power we need. The performance of solar panels is strongly influenced by several parameters including panel surface temperature, ambient temperature, and solar irradiance. This research makes a solar irradiation sensor using solar panels as a substitute for a pyranometer and adds temperature and wind speed sensors to determine the effect on PLTS performance. To find out the temperature, the PV surface temperature uses the DS18B20 sensor and the ambient temperature sensor uses the DHT11 sensor. Anemometer sensors use wind speed to find out, then each sensor is configured with an Arduino microcontroller so that it can operate and display the required data. The test results obtained the effect of wind speed on the performance of solar panels.

BAT inspired regression model for prediction of power loss in solar panel

Solar energy is an increasingly popular and environmentally friendly source of renewable energy. The performance of solar panels can be significantly affected by various factors, including shading or shadowing. The shadowing effect on solar panels has been a topic of significant interest and research in the field of solar energy. Shadows cast on solar panels can have a detrimental impact on their performance, affecting their efficiency and power output. Shadows can cause hotspots, voltage drops, and current imbalances, negatively impacting the overall efficiency and output of the solar panel system. In this paper, we have used a bat inspired model to find optimum parameters which are further used in a regression model to predict the amount of power loss that can happen with the area of cells exposed to shadow in a solar panel. This model can help further researchers to know the exact amount of power loss from the shadow effect and accordingly, they can plan to mitigate the issue.

An IoT-Based System for Fault Detection and Diagnosis in Solar PV Panels

This abstract describes an IoT-based system for fault detection and diagnosis in solar PV panels. The proposed Fuzzy logic-based fault detection algorithms aims to improve the performance and reliability of solar PV panels, which can be affected by various faults such as shading, soiling, degradation, and electrical faults. The system includes wireless sensor nodes that are deployed on the panels to collect data on their electrical parameters and environmental conditions, such as temperature, irradiance, and humidity. The collected data is then transmitted to a central server for processing and analysis using machine learning algorithms. The system can detect and diagnose faults in real-time, and provide alerts and recommendations to maintenance personnel to take appropriate actions to prevent further damage or downtime. The system has several advantages over traditional manual inspection and maintenance methods, including reduced downtime, lower maintenance costs, and improved energy efficiency. The proposed system has been validated through experimental tests, and the results show that it can accurately detect and diagnose faults in solar PV panels with high reliability and efficiency.

Portable and Customizable Solar Panel Cleaner Design

The purpose of this research is to design a solar panel cleaning tool that is easy to operate and can adjust the size of the installed solar panels. There are several factors that can affect the performance of solar panels, namely the placement of solar panels that cause accumulation of dust, bird droppings and water (salt) stains. The traditional cleaning system is still done manually. Manual cleaning has several disadvantages such as panel damage, risk of worker accidents, movement difficulties, poor maintenance, and others. Therefore, a solar panel cleaning tool is needed on the market that can help optimize solar panel performance and is easy to operate. The method used in this research is to design a prototype solar panel cleaner that can be operated easily and can be adjusted according to the size of the installed solar panel. The result of this research is a prototype of a solar panel cleaning tool with a total mass of 6 kg and easy to operate with a microcontroller system. Effectively this equipment shows the function of the cleaning tool to do its job, namely cleaning dust. Furthermore, this research needs to analyze the techno-economics of addition batteries to facilitate operation.

Solar Panel Automated Cleaning Using Water Re-Capture and Re-Circulation System

Abstract: Sun photovoltaic (SPV) module energy output is closely correlated with solar accessible irradiance, spectral content, and other factors including environmental and climatic factors. It is normal for dust from the outside environment to collect on solar photovoltaic (PV) system panels. Physical factors like rain, dirt, dust, snow, etc. can lower a solar panel's overall efficiency. So maintaining a clean solar panel is crucial. The performance of solar panels can be negatively impacted by collected dust, according to research, however, the results were not measured. This study's goal was to investigate how dust build-up affects the efficiency of solar PV panels. To test the electrical output and efficiency of solar panels, experiments were carried out utilizing dust particles on solar panels with a constant-power light source. The efficiency and resultant electrical power generated revealed it. According to the study, the effectiveness of a photovoltaic solar panel might be reduced by up to 30% by dust build-up on its surface. Therefore, it is crucial to clean the solar panel of any dust. We may clean the solar panels and improve their effectiveness by using the wiper on the water pump's base.

Sistem Monitoring Daya Output Photovoltaic Berbasis IoT

Solar panel monitoring systems are generally only through tools installed on the solar panel unit and carried out manually so that the parameters and data obtained are limited, and information cannot be obtained at any time. The purpose of this final project is to create a system that can monitor the performance of solar panels so that the utilization of solar panels becomes more effective, because through this monitoring system the early symptoms of damage can be detected early by humans. This tool is equipped with an INA219 sensor as a voltage and current detector, then the data will be processed by the NodeMCU ESP8266 microcontroller and then sent to the firebase. The data from the sensor readings will be displayed on the smartphone and can be viewed through the MIT APP application. This tool will also apply IoT technology as a monitoring method so that the data received will be displayed on the smartphone in real-time.

An analytical study to reduce the effect of dust on the performance of solar panels using water system

The aim of this work is to study the effect of dust on the performance and efficiency of solar cells . Two solar panels were used clean and dusty each consists of 12 solar cells. The remaining challenge is to find accost-effective way to apply these principles to construct a low-cost solar cell with high and stable efficiency.
 Photovoltaic (PV) cells have social and commercial value only when they are used in a system to provide a service. This research has given a brief overview of the technical and economic considerations that allow the cells to provide such a service. An automatic closed water circuit was designed and implemented to clean and increase the efficiency of the solar panel.

Perbandingan Daya Output Panel Surya Rooftop Berdasarkan Gerak Semu Matahari Studi Kasus Kota Banda Aceh

The research aims to get the best slope of the solar module to be placed on the roof of the building. This research will look at the performance of solar panels with varying slopes from various types in the city of Banda Aceh. The method used in this research is data collection by looking at the most significant output power from various slopes and comparing it with calculating the output power. The data from each month will also be compared so that the cross panel and the best tilt angle will be. From the research that has been done, it is found that in December and January, with the sun's declination angle of 23 ° and 20 ° North Latitude, the orientation of the solar panel installation is facing south with the best tilt angle of the solar panel is 20 ° -25 ° in December and 18 ° -24 ° in January. In July, the sun's declination is 21.2 ° North Latitude. The orientation of the solar panel installation is facing North, with the best tilt angle of the solar panel being 15 °.

Enhance the performance of photovoltaic solar panels by a self-cleaning and hydrophobic nanocoating

The photovoltaic (PV) solar panels are negatively impacted by dust accumulation. The variance in dust density from point to point raises the risk of forming hot spots. Therefore, a prepared PDMS/SiO2 nanocoating was used to reduce the accumulated dust on the PV panels' surface. However, the effectiveness of these coatings is greatly influenced by geographical and climatic factors. Three identical PV modules were installed to run comparable experimental tests simultaneously. The first module is coated with the prepared PDMS/SiO2 nanocoating, the second is coated with commercial nanocoating, and the third module is uncoated and serves as a reference. The prepared nanocoating was hydrophobic and had a self-cleaning effect. The fill factors for the reference panel (RP), commercial-nanocoated panel (CNP), and prepared-nanocoated panel (PNP), were 0.68, 0.69, and 0.7, respectively. After 40days of exposure to outdoor conditions, the dust densities on the RP and PNP panels' surfaces were 10 and 4.39g/m2, respectively. Thus, the nanocoated panel's efficiency was found to be higher than that of the reference panel by 30.7%.

Enhancement of performance and exergy analysis of a water-cooling solar photovoltaic panel

Enhancement of performance and exergy analysis of a water-cooling solar photovoltaic panel

A comprehensive review on various cooling techniques to decrease an operating temperature of solar photovoltaic panels

• The operating temperature of the photovoltaic panel plays a vital role during the energy conversion process • Technology development and application prospects for PV panel cooling are reviewed. • Active, Passive, and Hybrid cooling are the main technologies. • PCM with the nanoparticles usage makes the cooling system more effective. At present solar power is considered to be one of the most predominant non-conventional and renewable resources when compared with other resources. It does not produce toxic pollutants like conventional fuels while converting them into electric power. Photovoltaic (PV) power generation will be varying continuously according to climatic conditions. The variation in irradiation, wind speed, temperature, and soling affects the power produced by the panel. The operating temperature of the photovoltaic panel plays a vital role during the energy conversion process. PV panel excessive surface operating temperatures and high ambient temperature results in overheating of panels, which in turn significantly decreases the lifetime, efficiencies, and increased payback period of the system. To address these challenges, different cooling approaches in restricting the panel to nominal operating temperature. In light of the above, a comprehensive review is presented on the different cooling techniques resulting in enhancing the performance of solar panels. Air-based, water-based cooling systems, phase change material (PCM), and hybrid cooling by using PCM, nanomaterials, and nanofluids have been researched to ensure reduced panel degradation. The effectiveness of each cooling approach and performance enhancement of the PV panel will also be reported. This review outlines that water-based cooling is better than air-based cooling unless recovered heat is particularly utilized for domestic applications. However, cooling techniques involving the combination of PCM with nanoparticles usage, make the cooling system more effective when compared with water-based systems. The usage of different PCMs and their properties are presented in this review.

Quantitative Analysis of Solar Photovoltaic Panel Performance with Size-Varied Dust Pollutants Deposition Using Different Machine Learning Approaches.

In this paper, the impact of dust deposition on solar photovoltaic (PV) panels was examined, using experimental and machine learning (ML) approaches for different sizes of dust pollutants. The experimental investigation was performed using five different sizes of dust pollutants with a deposition density of 33.48 g/m2 on the panel surface. It has been noted that the zero-resistance current of the PV panel is reduced by up to 49.01% due to the presence of small-size particles and 15.68% for large-size (ranging from 600 µ to 850 µ). In addition, a significant reduction of nearly 40% in sunlight penetration into the PV panel surface was observed due to the deposition of a smaller size of dust pollutants compared to the larger size. Subsequently, different ML regression models, namely support vector machine (SVMR), multiple linear (MLR) and Gaussian (GR), were considered and compared to predict the output power of solar PV panels under the varied size of dust deposition. The outcomes of the ML approach showed that the SVMR algorithms provide optimal performance with MAE, MSE and R2 values of 0.1589, 0.0328 and 0.9919, respectively; while GR had the worst performance. The predicted output power values are in good agreement with the experimental values, showing that the proposed ML approaches are suitable for predicting the output power in any harsh and dusty environment.

Solar panel optimization using maximum power point tracking based on Artificial Bee Colony algorithm

Solar panels are a renewable energy generator widely used by the wider community. However, solar panels have a disadvantage in operation, namely very low efficiency. One way to improve the performance of solar panels is to find the MPP (Maximum Power Point) on the V-P curve of the solar panel. This study aims to find the maximum point of the solar panel so that the output power is maximized. This research has succeeded in making a model of a solar panel-based MPPT system using the Artificial Bee Colony method using a DC-DC converter of the choke type. The model is made using Solarland 200 WP solar panels. The difference in output power based on the test results obtained the results of the power efficiency generated by solar panels using MPPT on changes in irradiation with an average fixed temperature of 99.06%. At temperature changes with constant irradiation, the average is 99.12%.

Performance of solar panels at various depths in stationary water

Photovoltaic Solar systems have become attractive for powering autonomous systems and various devices. So far, the installation and usage of solar photovoltaic systems has been limited to either land or space. Lately, underwater solar photovoltaic power generation has attracted interest due to some of its unique application in powering underwater devices. The thermal control and cooling that result makes it more dependable for underwater devices. Around the equator, and some other parts of the world, some regions can be quite hot compromising a panel performance. A systematic study on the performance of stationary under water panel using normal tap water would provide information on the applicability of underwater panels in such places. In this work, a detailed study was carried out to determine the performance of 20W monocrystalline photovoltaic solar panels locally acquired and placed at various water depths. A locally purchased plastic translucent water tank was filled with normal tap water and the panels placed in the water at various depths. Solar irradiance, ambient and panel temperature were obtained using a solar 02 device and an irradiance power meter which were connected to a solar current-voltage (I-V) analyzer. Data was collected at 30-minute intervals between 11:00 a.m. and 3:00 p.m. East African Time (EAT) for panels at different depths up to 0.6m. The results revealed that as the water depth increased form 0 m to 0.6m, the panel temperature reduced by 15.48% (at a rate of 0.062 °C/cm), ambient temperature decreased by 5.13%, solar irradiance decreased by 63.79% while power output decreased by 75.00 %. It was noted that the submerged photovoltaic panels reduced the cleaning problem and power loss caused by high temperature. However, positioning the panels deep reduces the power production due to decreased irradiance which has a strong effect on the photocurrent and hence the power production of the panel. It is therefore advisable to keep the panels just below the water surface to maximize power production. The set up can be applied in very hot places for better power production.

ANALISA KETAHANAN DAN KINERJA PANEL SURYA DI KAWASAN PESISIR

The coastal area is an area that is high in salt content so that it can corrode the tools around it. As with solar panels in Solar Power Plants if installed in coastal areas, their performance will likely decrease. Although Solar Power Plants is a renewable energy that is obtained free of charge from sunlight, the solar panel attached to Solar Power Plants is also a tool or instrument which functions to create electric power. The hypothesis that has been made is that solar panels have a decreased performance when in coastal areas compared to solar panels installed in urban areas. In this study, a comparison or analysis of the performance of solar panels in coastal areas with urban areas will be discussed. Therefore, from this analysis, it is hoped that it can draw a conclusion that there is special or extra care when installing Solar Power Plants in coastal areas.

Numerical and Experimental Performance Evaluation of a Photovoltaic Thermal Integrated Membrane Desalination System

Membrane desalination (MD) is preferred over other desalination techniques since it requires a lower temperature gradient. Its performance can be further enhanced by preheating the intake of saline water. In this context, a novel solar-assisted air gap membrane desalination (AGMD) system was hypothesized. The motivation was derived from the fact that the use of solar energy to provide power and a pre-heating source for the intake of saline water can offer a sustainable alternative that can further enhance the acceptance of MD systems. Since solar panels suffer from a loss of efficiency as they heat up during operation, a solar-assisted air gap membrane desalination (AGMD) system can help to improve the overall system performance by (1) providing the necessary pumping power to operate the system and (2) improving solar panel performance by exchanging heat using water that is (3) used to pre-heat the saline water necessary for increased performance of the AGMD system. To verify the hypothesis, a solar-assisted AGMD system for freshwater production was theoretically designed, fabricated locally, and then tested experimentally. The effect of the process operating parameters and the ambient conditions on the overall performance of the proposed solar-assisted AGMD desalination unit is presented in detail, both theoretically and experimentally. The results indicated a direct correlation between the permeate flux, saline hot feed temperature, and hot feed flow rate. In addition, an inverse relationship between the cold feed temperature, cold feed flow rate, and the air gap thickness of the module was also observed and reported, thus, validating the hypothesis that a solar-assisted air gap membrane desalination (AGMD) system can help to boost performance.

Polar Wax as Adhesion Promoter in Polymeric Blend Films for Durable Photovoltaic Encapsulants.

Technological developments in the solar photovoltaic field must guarantee the high performance and low deterioration of solar cells in order for solar power plants to be more efficient and competitive. The solar cell needs comprehensive protection offered by a polymeric encapsulant, which improves UV stability, reduces water and moisture absorption, reduces oxygen and vapor permeability and enhances mechanical resistance. Moreover, high transparency and adhesion yields improved the solar panel performance. The current work analyzes polymeric films based on poly(ethylene-co-vinyl acetate) (EVA) and polyolefin (PO) for photovoltaic encapsulant use (the high temperature resistance is improved by adding PO to EVA, as investigated and documented before). To enhance the mechanical resistance and optical properties of the investigated matrices, a crosslinking agent, an adhesion promoter and stabilizing agents have been incorporated in both EVA and EVA/PO systems. The adhesion promoter is a polar wax–silane-free agent; the absence of the silane function allows the integrity of the module to be maintained over time. All samples were characterized through mechanical and rheological analysis, and their long-term UV stability was investigated by accelerated ageing and by FTIR and UV–vis spectroscopy. The obtained results suggest that the presence of a crosslinking agent, an adhesion promoter and stabilizers in EVA/PO-based films allows for the achievement of the required features for the encapsulants, showing mechanical and rheological behavior similar to those of EVA containing the same additives.