Performance Comparison of Polycrystalline Solar Cells with and Without Reflectors

We evaluated effect of different color filters on the electric production performance of monocrystalline and polycrystalline solar photovoltaic panels in real outdoor environment. In the experiment, we used four different color filters from blue to red on photovoltaic panels to observe energy and efficiency performance of the mono and polycrystalline solar photovoltaic panels as well as temperature of the panels measured with and without filters. We observed the wavelength dependence of monocrystalline photovoltaic panel is more effective than the polycrystalline photovoltaic panel one. For both panels we see that yellow color filtered produced the highest power value and have the lowest temperature value. This can be explained with that the spectrum of yellow color filter covers most of the radiation of solar but blocking infrared and ultraviolet side of the sun spectrum. This also causes the lower panel temperature. On the other hand, we observed that photovoltaic panels with blue color filter have the highest temperature value and the lowest power value. By the study we suggest that by optimizing the semiconductor band gaps in photovoltaic panels respect to solar wavelength, one can produce photovoltaic panels with higher efficiency by using filters, especially in hot climate regions. We expected that the results will also contribute to a better analysis of the points that need to be developed during the photovoltaic panel production stages.

Solar panel is a tool composed of several solar cells assembled in series or parallel by utilizing the photovoltaic effect so that it can convert solar energy into electrical energy. Solar panels have several types, namely monocrystalline and polycrystalline where each type of solar panel has different absorption efficiency based on the constituent materials. According to several surveys, obstacles that often occur in the field in the installation of solar panels are due to external influences which include influences (shading, soiling, and spot) so that it has an impact on the performance of solar panels which results in power instability due to non-linear current-voltage (I-V) relationships. This study tested the power output of monocrystalline and pollycrystalline 100 Wp solar panels with several levels of shading testing The results of testing research data that have been carried out show that there is an influence of shading on current and voltage, resulting in a decrease in output power. It was found that the partial and overall shading effects caused a decrease in power by -71% and -75% respectively from the normal conditions of monocrystalline solar panels. Polycrystalline solar panel testing due to partial shading effect of -75\% and total shading of -77\% of normal solar panel output power without conditioning.

This paper presents the implementation of an integrated photovoltaic solar panel model which includes all the necessary parameters in order to simulate and analyze using Matlab/Simulink software. The integrated photovoltaic model is validated with Matlab/Simulink simulation for a commercially available 100W photovoltaic solar panel module. Using the commercial solar panel specifications, such as solar irradiation, panel temperature, etc. the integrated model solved with Matlab/Simulink returns an I-V and P-V performance characteristics under various conditions which enabled detailed analysis, assessment of parametric effect on the performance of the solar panel. According to the model simulation results for a commercial RNG-100D solar panel, it was found that panel performance was mostly affected by the variations of solar radiation/insolation, panel surface temperature, series resistance, shunt resistance and band gap energies of the semiconductor materials. The commercial solar panel simulation results show that a photovoltaic panel output power reduces as module temperature decreases. Taking the effect of sunlight irradiance and cell temperature into consideration, the output current and power characteristics of PV model are simulated and results can be optimized using the proposed model. The integrated model enables the dynamics of PV power system to be easily simulated, analyzed, and optimized.

Solar panel or solar photovoltaic array helps in maximum utilization of energy during daytime that is from sunrise to sunshade. However, shading on solar panels can have a huge impact on the performance of solar photovoltaic panels. This shading has severed effects on the output of solar cells. But most of the time a common misconception occurs that the partial shading does not make any impact on the output of solar panels. But solar photovoltaic panels are highly susceptible to changing atmospheric conditions and the shades falling on it. Solar insolation, the surrounding temperature, array configuration and shading on solar panels affect the performance of the solar photovoltaic array. Basically, the solar photovoltaic panel consists of several cells that are connected to each other in a series circuit. Because of this series connection, the performance of the solar panel is significantly reduced even if the smallest section of the solar panel is shaded. Due to any of the factors such as passing of the clouds, neighbouring buildings, towers, trees and the presence of the telephones poles which can exert its complete or partial shadow on the solar panels, performance of solar array can be affected. It can be investigated that the P-V characteristic curve varies under different atmospheric conditions and changing number of shaded modules of the solar photovoltaic string. Overheating of shaded cells is the major effect caused by partial shading of the photovoltaic module. It leads to the reduction of energy of the entire solar module. Here we are studying the harmful effects and variations caused by partial shading on the overall solar photovoltaic module’s performance. PSPICE and MATLAB are types of simulation models to test the performance of PV module and to present the result.

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.

<p>Due to the increasing global energy demand and consequent climate change from burning fossil fuels, researchers are getting more focused on renewable energies as a potential solution to the world's energy problems. Solar energy is a prominent form of sustainable energy. The solar photovoltaic power generation system’s electrical performance is negatively influenced by several factors, including the impact of solar irradiance, incident angle, temperature, dust accumulation on the top of the solar cell, cracks in the solar panel, shadowing, shunt resistance, solar cell materials, load mismatch, maintenance and cleaning schedule, spectral mismatch loss, and cable loss. The direct environmental factors that have the biggest impact on efficiency are the effects of sun irradiance and temperature. This empirical investigation examined the impact of optical filters on the electrical efficiency of a 40W polycrystalline solar PV panel in India while considering real-time ambient conditions. Through the utilization of an optical filter, the solar PV panel's temperature is diminished, hence enhancing the output power of the solar panel. Based on the experimental findings, the utilization of a transparent plexiglass sheet equipped with a coolant system installed on the solar panels leads to a drop in the average operating temperature of the solar PV module by up to 6°C. Additionally, the output power is enhanced by up to 10W in comparison to the reference solar panel’s output performance.</p>

Accumulation of dust from the outdoor environment on the panels of solar photovoltaic (PV) system is natural. There were studies that showed that the accumulated dust can reduce the performance of solar panels, but the results were not clearly quantified. The objective of this research was to study the effects of dust accumulation on the performance of solar PV panels. Experiments were conducted using dust particles on solar panels with a constant-power light source, to determine the resulting electrical power generated and efficiency. It was found from the study that the accumulated dust on the surface of photovoltaic solar panel can reduce the system-s efficiency by up to 50%.

Solar energy is the main source of energy that is expected to play a vital role in fulfilling the future global demand for electricity. Design of advanced photovoltaic (PV) system with high electric conversion efficiency is the key for collecting solar energy. A major obstacle hindering useful PV utilization is the deterioration of solar cell efficiency with temperature. In this paper, the performance of solar panel using a micro flat heat pipe (HP) and thermoelectric generator (TEG) is proposed and experimentally investigated. In order to operate HP and TEG at highest possible efficiency, the condensation section of HP is innovatively cooled by utilizing the condensed water inside the evaporator of the air conditioner (which is usually between 5-7 °C). Two different types of silicon panel are used in the study: monocrystalline solar panel and polycrystalline solar panel. The results showed that a reduction in average solar panel temperature up to 25% is obtained. In addition, the produced power was increased by as much as 50% when the solar panel was cooled by the heat pipe. In order to test the performance of the cooling system combined with the solar panel, the feasibility study and cost analysis is carried out using SAM software.

Solar power offers a chance to decrease dependence on imported fossil fuels, a crucial consideration for nations heavily reliant on energy imports. Hybrid nanoparticles have been used for PV cooling to enhance the efficiency and perfor-mance of solar panels. This study investigates the use of nanofluids to improve power production, lifespan, and effi-ciency. Three photovoltaic panels with different cooling meth-ods were tested in this study. The effect of a 2 wt % Al2O3/ZnO hybrid nanofluid was assessed at flow speeds ranging from 1 to 3 liters per minute. Three panels, PV-1, PV-2, and PV-3, are used in this experiment. A 2 wt % hybrid nanofluid of Al2O3/ZnO is used to study the first solar panel (PV-1), often known as PV-one. The second solar panel (PV-2), called PV-two, is cooled using forced air and a 2 wt % hybrid nanofluid of Al2O3/ZnO. In contrast, PV-three, the third panel (PV-3), had no cooling. When an Al2O3/ZnO hybrid nanofluid with forced air was used, the electrical energy efficiency increased the most, at 17.9 %. Additionally, using a hybrid nanofluid of Al2O3/ZnO produced a 17.5 % outcome, whereas an uncooled panel produced a 15.1 % result. In contrast to the hybrid nanofluid, which had a temperature of about 9.4 °C, the hybrid nanofluid with forced air had a temperature increase of 9.8 °C. Compared to the uncooled panels, this resulted in an 11.2 % increase in output power. The maximum output powers for cooling with hybrid nanofluid with forced air, hybrid nanofluid, and uncooled panels were 45.6, 44.1, and 40.2 W, respectively. Additionally, the CFD was used to evaluate the serpentine pipe thermal performance.

Solar photovoltaic (PV) panels are projected to become the largest contributor of clean electricity generation worldwide. Maintenance and cleaning strategies are crucial for optimizing solar PV operations, ensuring a satisfactory economic return of investment. Nanocoating may have potential for optimizing PV operations; however, there is insufficient scientific evidence that supports this idea. Therefore, this study aims to investigate the effectiveness of nanocoating on the performance of solar photovoltaic (PV) panels installed in Al Seeb, Oman. A further study was also carried out to observe the influence of coating layers on the performance of PV panels. One SiO2 nanocoated solar panel, another regularly cleaned PV panel, and a reference uncleaned panel were used to carry out the study. The site of the study was treeless and sandy, with a hot and dry climate. A data logger was connected to the solar PV panel and glass panel to record the resulting voltage, current, temperature, and solar radiation. It was observed that nanocoated PV panels outperformed both regular PV panels and uncleaned PV panels. Nanocoated PV panels demonstrated an average efficiency of 21.6%, showing a 31.7% improvement over uncleaned panels and a 9.6% improvement over regularly cleaned panels. Although nanocoating displayed high efficiency, regular cleaning also contributes positively. Furthermore, even though nanocoated PV panels outperformed the other two panels, it is important to note that the performance difference between the regular cleaned PV panels and the nanocoated PV panels was small. This indicates that regular cleaning strategies and nanocoating can further contribute to maintaining a more efficient solar PV system. Coating in many layers was also observed to influence the performance of PV panels insignificantly, mainly the fourth layer coating appeared to have formed sufficient mass to retain heat.

The tilt angle of the solar panel is one of the factors that affect the performance of the solar panel considering its function is to maximize the reception of solar energy radiation. Therefore, it is necessary to study the potential of solar energy and optimize the reception of solar radiation by maximizing the tilt of the solar panel. This research will simulate and optimize the angle of the monocrystalline and polycrystalline solar panels by utilizing the potential of solar energy in the Prabumulih City area. Based on this data, data will be collected from solar cell panels which include solar radiation data, and the resulting power output at each variation of the tilt angle of 1º, 3º, 5º, 10º, 15º, 20º, 25º, 30º, 35º, 40º, and 45º. The purpose of this study was to determine the most appropriate tilt position of the solar panels on the efficiency of the solar panels. The research method used is to simulate the tilt angle of the solar panels which is carried out using variations of the tilt angle of the solar panels using RETScreen Expert software. From the simulation results of the monocrystalline and polycrystalline solar panel tilt angle using RETSreen Expert that has been carried out, it is obtained that the tilt position of the solar panels and different output power is obtained, the simulation results of the monocrystalline type solar panel tilt angle is 1º with an output power of 230,492 kWh per year and solar panels polycrystalline is 3º with an output power of 215,608 kWh per year.

The performance of solar panels is determined based on the Maximum Power Output and the Fill Factor (FF) under a Standard Test Condition (STC). STC is a standard test condition in which the solar panels ideally work. STC testing methods do not consider the factors that affect the performance of solar panels, such as solar radiation and temperature changes. This study discusses a method that is simple and easy to determine the performance of crystalline solar panels. This method is based on comparison of the normal cumulative probability distribution of the Fill Factor on radiation and temperature variations to STC conditions. The experiment shows that A-180 Photovoltaic (PV) has a better performance rating than B-180 PV with a probability ratio of 27.12% and 16.09, respectively. The Gaussian Method which is used also can be verified by maximum power measurement at radiation of 1000 W/m 2 . Results show that A-180 PV has a better power ratio with 81.55%, which is higher than B-180 PV with 78.6%.

Solar energy is quite simple as the energy can be obtained from the sun directly. Solar energy is categorized as one of the best renewable energy since it does not emit carbon dioxide and because of unlimited supports from the sun. In this paper, three main sections of solar technologies like photovoltaicsolar panel, concentrating solar power, heating and cooling system that is available present days have been investigated. In the second part of this research, an experiment has been carried out to evaluate the effects of colors of light on the performance of solar photovoltaic panels. Different colors of light having different wavelength, resulting in different frequency and hence different energy. In general, the solar spectrum influences the performance of the solar panels. The results show that the solar panels are influenced more by the red color of light. This report will start by detailing the three main solar technologies, followed by the testing on the colors of light with the solar panels

This study intends to better solar photovoltaic (PV) panel performance by employing anti-reflective coating and explore how dust affects solar panel effectiveness. Three equivalent solar PV panels were compared, having one of them being uncoated, the next one having a TiO2 nanomaterial coating, and the very last one having a SiO2 nanomaterial coating. PV panel surfaces are coated with superhydrophilicity TiO2 as well as superhydrophobic SiO2 nanomaterials using a cloth made of microfibers. With the aid of a photovoltaic (PV) analyser, the power output of each and every PV panel has been monitored during the month of November 2021. After one month of being exposed to the environment, the percentage improvement in efficiency for TiO2-coated panels was 7.66% and for SiO2 coated panels was 19.73% as compared to uncoated PV panels. Results demonstrate that SiO2 covered PV panels outperform the other two scenarios in terms of efficiency and power output. The frequency of photovoltaic panel washing is reduced by the application of coating. Different amounts of dust are evenly scattered on the surface of the PV panel in order to observe the effect of the dust. Additionally, as the amount of dust increases, the effectiveness of PV panels declines considerably. When 20g of dust is dispersed across the surface of a PV panel, its efficiency falls by 34.6 percent.

Maximum power enhancement in solar PV modules through modified TCT interconnection method