Polycrystalline Solar Panels Research Articles

Design and Performance Evaluation of Photovoltaic Systems with Automatic Dust Wiper in a Natural Dusty Environment

The accumulation of dust on solar panels affects the transmittance of solar panel glazing which leads to the degradation of its efficiency due to low levels of irradiance reaching the cells. In this work, the response of polycrystalline silicon solar panels toward dust in a natural dusty environment was experimentally investigated at a location in Calabar close to the Calabar river. The experimental measurements were carried out in real-time outdoor conditions where human activities take place. An automatic dust wiping/cleaning mechanism to ensure the panel surface was kept clean was deployed in the study. An intelligent maximum power point (MPP) trackers for tracking the maximum power points of the panels were also utilized for this work. Results obtained revealed that the accumulation of dust on polycrystalline solar panel adversely affects its power output and efficiency. From the results, it was also revealed that the average panel temperature of the photovoltaic system with the automatic dust wiping mechanism was 5.300C lower than the other system without the mechanism. This lower panel temperature led to an increase of 16%, 32.5%, 43.40% and 43.37% in average voltage, average current, average power and average efficiency respectively over the dusty panel. It was demonstrated that solar panel efficiency plummets as panel temperature rises due to heat dissipation caused by the accumulation of dust.

KETERKAITAN PERBANDINGAN KINERJA PANEL SURYA DALAM SITUASI LINGKUNGAN TERTENTU DENGAN MEMANFAATKAN SIRKUIT SENSOR

This research is to find out solar panels produce electric current depending on the intensity of sunlight. In addition, temperature, humidity and other environmental parameters affect the energy conversion process. Commercial solar panels are widely available in the market. The price depends on the selling capacity of diesel as well as the materials that determine the performance of the power plant. This paper compares monocrystalline and polycrystalline solar panels using a sensor circuit. The impact of environmental parameters on solar panels is also assessed. The results show that monocrystalline outperforms polycrystalline. The voltage, current and output power of monocrystalline were 2.8%, 7.73% and 6.41% higher than polycrystalline. Monocrystalline solar panels are also more stable to environmental changes. This is how the stability of efficiency.

Impact of dust accumulation and deposits on polycrystalline solar panel: Case of Senegal

This study focuses on the Sahel, one of the areas with the highest concentration of desert dust, with source areas having fine particle emissions in Chad, Niger, Mauritania, etc. It also includes areas of subsidence of air masses that promote the deposition of dust, such as Senegal. It turns out that the countries of Sahel are among the poorest in the world. They have a relatively low electrification rate. However, this area is also characterized by its good solar potential which makes it an ideal place for the installation of photovoltaic solar collectors. Senegal has launched the challenge to solve this problem of electrification by turning to renewable energies. But being a drop zone, the sensors on the ground will be impacted. This study defines the impact of the thickness of the dust deposit layer on a polycrystalline photovoltaic sensor. By looking at the behaviour of irradiation and aerosol deposition in Senegal with the ERA5 and Giovanni data, the intra-annual profile of deposition and irradiation in Senegal was established. By applying the results obtained on the climatology of these parameters to a monocrystalline solar photovoltaic collector, it was contrasted that the evolution of the power, as well as the yield of the collector was strongly impacted by the accumulation of the deposit after 5 years. The power delivered by the collector went from 59.779 W during the month of the 1st year of accumulation to 4.28 W during the last month of the 5th year of accumulation. The resulting yield is also affected. More detailed illustrations are given in this work.   Key words: Dust, accumulation, photovoltaic, polycrystalline, efficiency, Senegal.

Perancangan Sistem Pembangkit Listrik Hybrid Tenaga Surya dan PLN

Electrical energy is one of the most needed energy. The sun (sunlight) is a renewable energy that can be used to generate electrical energy. Indonesia is a tropical country, so there is quite a lot of sunlight available. In order to obtain efficient and safe (consistent) electrical energy, backup solar energy can be used with PLN's electrical energy using a hybrid system. The planned hybrid system uses 100 WP Poly-crystalline solar panels (2 pieces), 100 Ah 12 V batteries (2 pieces). The hybrid controller system uses a 1000 watt hybrid inverter. Applications that are designed to be used as labor lighting lamps (10 pieces) that require 1000 watts of power.

Comparative Analysis of Power Output, Fill Factor, and Efficiency at Fixed and Variable Tilt Angles for Polycrystalline and Monocrystalline Photovoltaic Panels—The Case of Sukkur IBA University

Photovoltaic technology mainly uses beam, diffused, and reflected solar radiation to produce power. To increase the photovoltaic power output, the surface of the solar panel must be at the optimal tilt angle. In this paper, a numerical study is carried out to investigate the optimal tilt angle for a 1 MW PV system installed at Sukkur IBA University (latitude = 27.7268° N, longitude = 68.8191° E). Moreover, power output, efficiency, and fill factor are calculated for polycrystalline and monocrystalline solar panels. Results obtained at different tilt angles are used to compare the solar gain from photovoltaic modules installed at the university. In conclusion, an optimal tilt angle is decided for both polycrystalline and monocrystalline solar panels used at Sukkur IBA University. It was found that the optimal tilt angle for the installed 1 MW systems is 29.5 degrees.

Power Generation Variation Analysis Of Solar Panels Coated With TiO2

Solar energy, which is an inexhaustible, clean and easily accessible energy source, can be converted into electrical energy with the help of photovoltaic (PV) panels. Environmental factors such as dust and dirt cause pollution of PV panels and decrease the efficiency of energy conversion. One of the methods used to reduce the negative effect of dirt on panel efficiency is to coat the surface of the panels with photocatalytic materials. Oxygen and nanoparticles are formed on photocatalytic surfaces with the help of ultraviolet rays in sunlight. These particles form a chemical reaction between the coating and the surface, breaking down and destroying the dirt on the surface. In this study, the effect of titanium dioxide (TiO2) as a photocatalytic material on the efficiency of solar panels was investigated. Experimental studies were carried out in Bingöl city using two 285 W polycrystalline solar panels. One of the panel surfaces is coated with TiO2and no treatment has been applied to the surface of the other panel. When the measured data were analyzed, it was seen that while the powers of the two panels were almost the same at the beginning, with the contamination of the panels, the power obtained from theTiO2coated panel was up to 19% higher. In addition, it was observed that the excess power produced as a result of cleaning the PV panels after rainy days decreased again.

The Effect of Soybean Wax as a Phase Change Material on the Cooling Performance of Photovoltaic Solar Panel

Solar energy is renewable energy with infinite amounts and low emissions. The work of the solar panel is affected by the increase in its working temperatures. In this study, 50 Wp polycrystalline solar panel with and without soybean wax placed on backplate solar panels using PCM container as a passive cooling system were simulated on the solar simulator with variations in light intensity of 400 W/m2, 600 W/m2, 900 W/m2, 1000 W/m2, and 1100 W/m2. The blower was simulated the ambient wind in the surrounding area constantly. The PV panel temperature simulation approach was carried out to determine the error in the experimental results. The simulation obtained the average temperature at 1100 W/m2 intensity of PV panels with and without soybean wax PCM 56.8℃ and 48.6℃, respectively. The experiment show that PV applied with soybean wax as a passive cooling system can reduce the maximum PV temperature at 1100 W/m2 intensity from 60.7℃ to 54.7℃ and increase its maximum efficiency by 0.42% at 900 W/m2 intensity. Soybean wax cooling system has proven to be effective in reducing PV temperature. The error values from the simulation and experimental results of PV panels with and without PCM are 6.9% and 12.61%, respectively.

Benchmarking study between capacitive and electronic load technic to track I-V and P-V of a solar panel

<p>To detect defects of solar panel and understand the effect of external parameters such as fluctuations in illumination, temperature, and the effect of a type of dust on a photovoltaic (PV) panel, it is essential to plot the Ipv=f(Vpv) characteristic of the PV panel, and the simplest way to plot this I-V characteristic is to use a variable resistor. This paper presents a study of comparison and combination between two methods: capacitive and electronic loading to track I-V characteristic. The comparison was performed in terms of accuracy, response time and instrumentation cost used in each circuit, under standard temperature and illumination conditions by using polycrystalline solar panel type SX330J and monocrystalline solar panels type ET-M53630. The whole system is based on simple components, less expensive and especially widely used in laboratories. The results will be between the datasheet of the manufacturer with the experimental data, refinements and improvements concerning the number of points and the trace time have been made by combining these two methods.</p>

Effect of Dust Accumulation on the Performances of Solar Panels in Static and Tracking Systems in Bauchi Metropolis of Nigeria

The research aimed at comparing the effect of dust accumulation on the performances of solar PV modules in static position and on a tracking system within Bauchi metropolis of Nigeria , during the harmattan season –November to December. Dust deposition on the surface of PV panel reduces the conversion efficiency by absorbing and preventing the Solar radiation from reaching the cells of the panel. This necessitated the need to develop a reliable tool to relate energy production from solar cells with respect to dust deposition on both static and solar tracking PV modules. A test bed was designed for the field measurement of output current, voltage, temperature and dust weight data from the two PV modules.” Centsys” polycrystalline solarpanels () was used for the research. A statistical technique involving regression analysis in SPSS software was used to correlate between the various measured data from the test bed to predict the effect of dust accumulation on the surface of each module, which will enable solar power installers to take necessary measures for improving the PV module’s conversion efficiency during the period under review. The research result showed that the effect of dust on the tracking solar PV moduleis less significant compared to the static panel, giving the former a better conversion efficiency.

A Global Dynamic Harmony Search for Optimization of a Hybrid Photovoltaic-Battery Scheme: Impact of Type of Solar Panels

The type of solar panels has a great impact on the optimal sizing of a hybrid photovoltaic–battery scheme. The optimization of these schemes based on a powerful optimization approach results in more cost-effective schemes. In this paper, a new global dynamic harmony search method, as an optimization method, is presented for the optimal sizing of a hybrid photovoltaic–battery scheme. The new optimization method is aimed at minimizing the total cost and loss of load supply probability of the scheme at the same time. In this regard, the effect of the type of solar panels on the optimal sizing of the hybrid scheme is investigated. Furthermore, performance optimizations are performed with an original global dynamic harmony search, an original harmony search, and simulated annealing to determine the effectiveness of the suggested optimization method. The effects of the initial costs and efficiency of monocrystalline and polycrystalline solar panels on the optimization of hybrid systems are analyzed. The superiority of the suggested method in terms of time and cost indicators of the hybrid scheme is presented comparing the other algorithm.

Comparative study of electrical energy conversion on monocrystalline and polycrystalline solar panel types in fixed position with various weather conditions in mountain area

A solar panel is one alternative energy solution that is widely used today. Solar panels consist of two main types, namely polycrystalline and monocrystalline. The two solar panels have physical differences and the ability to produce electrical energy. Therefore, we compare two solar panels in order to conclude which type of solar panel is the most effective in producing electrical energy. The area used is plateau areas with a mountainous contour and has low humidity and temperature. Data is collected for three days. The solar panels used have a capacity of 200 Wp each. As a data logger, Arduino and several supporting components are used. Polycrystalline solar panels produce a greater voltage than monocrystalline types from the first day to the third day. However the current produced by the two solar panels tends to be the same. The average total energy produced by polycrystalline solar panels is 665.46 watts and monocrystalline solar panels is 500.62 watts. It can be concluded that in mountainous areas it is more efficient to use a polycrystalline type of solar panels.

Study Technical Economic Efficiency of Fixing PV Power Plant at Sakon Nakhon Rajabhat University by using Simulation Software

The technical-economic efficiency of fixing PV power plants in the 1 MW model was studied by using the PVSYST program. This model installed at Sakon Nakhon Rajabhat University. The solar panels of mono-crystalline silicon solar panels and poly-crystalline silicon were compared to the capacity of 325 W based on technical and economic efficiency. It was found that mono-crystalline silicon energy produced has entered the grid system, performed more than 1 MWh/year (0.06 %). The main reason is due to the higher losses at poly-crystalline solar panels (0.09%) to the same losses in the inverter (-1.76%), but mono-crystalline silicon has a better performance ratio (average 79.7%). In economics, the mono crystalline silicon solar cells should be used to generate electricity because the capacity is 1,618 MWh/year and the cost of electricity generation is 0.76 baht/kWh with a payback period of 4 years and 4 months.

Performa Panel Surya 2 X 50 WP pada Mesin Panen Padi Mini Dua Lajur

Rice harvesting machines that can be operated in swampy, peatland, narrow and can be operated and maintained by farmers, can be considered for design, some previous research has been carried out, including a two-lane mini rice harvester with a performance of 20.33 hours per hectare and has been in manufacturing and in performance tests. Experimental studies on engine performance were carried out in this research. This research uses 2x50 watt peak polycrystalline solar panels connected to a 12 volt 45 AH battery, the battery will drive a 50 watt electric motor. Current and voltage measurements are carried out on the solar panel and battery when in condition, first the solar panel is connected to the battery and not connected to the electric motor, the second solar panel is connected to the battery and connected to the electric motor, the three solar panels are not connected to the battery and the battery is connected to electric motor. The results of the first condition study indicate that the electric current will be more stable using a new battery, when compared to using a battery in the previous study. The second condition was that the performance of the two-lane mini rice harvester increased by 50% when compared to the performance of an electric motor using a battery that was not connected to a solar panel. The third condition shows the performance of the electric motor has increased by up to 300% when compared with the results of previous studies, it is estimated that the electric motor will continue to rotate for up to 8-10 hours.

Discussion on the design of solar aerator for fish pond

The solar energy is used as the power of the aerator in the solar aerator for fish pond to provide sufficient oxygen for fishes in pond, which meets the needs of general aquaculture. In this paper, solar energy is used as the power source of aerator, and weak current DC aerator replaces the traditional existing strong alternating aerator. The system comprises of a polycrystalline solar panel square array, solar panel bracket, controller, colloidal battery, DC aeration blower, micro-porous aeration coil, DC-DC regulated adjustable power supply module, DC brushless water spray aerator, etc. The experimental results show that the solar aerator can work for 6.5 hours per day on average. Furthermore, after adding the DC-DC regulated and adjustable power supply module, the voltage and the current of the solar aerator are relatively stable. Therefore, the aerator has a noticeable effect on the dissolved oxygen in the water, and it can effectively and stably provide the necessary oxygen for the fish pond.

THE ANALYSIS OF PHOTOVOLTAIC PANEL SYSTEMS

Most of the energy needed today is obtained from fossil fuels. Both the damages that these fuels cause to the environment and the limited resources have led to the search for alternative energy sources. Solar energy is one of the remarkable renewable energy sources, and is considered as one of the solution to meet the power requirement and to protect the environment. Photovoltaic panel systems are one of the substantial renewable energy sources which are rapidly becoming widespread due to its advantage such as converting directly solar energy into electrical energy.
 
 In this study, two different types photovoltaic panels such as monocrystalline and polycrystalline solar panels are examined experimentally and the performance of these panels are assessed. The analysis is carried out for the city of Aydın in Turkey. The experimental measurements are achieved under weather condition of Aydın in August and September months. Besides, the solar radiation is measured using pyranometer device. The panel surface temperature is measured using K type thermocouple. The main purpose of this work is to determine the most suitable panel type for city of Aydın by means of electric power generation and thus to provide scientific data to the investors and companies. The results indicate that for monocrystalline and polycrystalline solar panels, the obtained maximum power are 49.74 W and 46.13 W respectively. In addition, the maximum efficiency of monocrystalline and polycrystalline solar panels is determined to be 13.94% and 12.13%, respectively.

Evaluation of heavy metal leaching under simulated disposal conditions and formulation of strategies for handling solar panel waste.

With the steady growth in the worldwide solar installed capacity, there is an immediate concern about the fate of the solar panels at the end of their life. Solar panel waste is often disposed of indiscriminately, exposing the environment to chemical hazards. The major objective of the current study was to evaluate the leaching potential of the polycrystalline solar panel waste under different simulated disposal conditions through toxicity characteristic leaching procedure (TCLP), synthetic precipitation leaching procedure (SPLP) and pH static leaching procedure tests. Moreover, the study evaluates the effects of ageing and the breakage of the Glass Laminate Encapsulation (GLE) of solar panels on their leaching potential. Among the metals studied (silver (Ag), aluminium (Al), cadmium (Cd), chromium (Cr), copper (Cu), manganese (Mn), lead (Pb), and zinc (Zn)), the concentrations of Pb were as high as 9.3mg/L, 1.4mg/L, 6.7mg/L in the TCLP, SPLP, and pH static test respectively. This indicated the hazardous nature of the waste with leaching potential of Pb above the permissible limits stipulated by various regulatory bodies. The presence of GLE reduced the mobility of Pb by a factor of 4.1-8.8 in the TCLP test, thereby rendering the waste as non-hazardous for its disposal in a landfill. However, the indiscriminate disposal of solar panel waste in the natural environment as simulated by the SPLP test indicated its harmful nature irrespective of the physical condition. Ageing of the solar panels before disposal and acidic pH conditions also positively influenced the leaching potential of the selected metals subjected to their reactivity and the accessibility of internal layers of waste to the leaching solution. Strategies such as extended producer responsibilty, advance-recycling fee, and incentivizing the recycling industry will lead to both economic benefit creation and effective waste management of this waste stream.

Optimization of isolated power systems with renewables and storage batteries based on nonlinear Volterra models for the specially protected natural area of lake Baikal

Lake Baikal conservation as UNESCO World Heritage property, national and international environmental laws dictate specific requirements and rules for the operation of energy facilities in the specially protected areas of Lake Baikal. Such restrictions have given particular strength to penetration of the renewables and storage systems. This article presents the universal method for optimizing the structure and installed capacity of isolated power systems using the example of a real tourist base. On the basis of the pool of mathematical models and control algorithms for power equipment the unified model of isolated power system was formed. The choice of mathematical models is made in accordance to the problem specifics and the climatic indicators. For optimal control of the processes of charging and discharging and determining the operating modes of the storage batteries the model based on nonlinear integral Volterra equations was used, which takes into account the nonlinear dependence of efficiency on the state of charge. In order to solve the problem of optimizing the installed capacity of the equipment the brute-force method was used. The results showed that the optimal use is polycrystalline solar panels with a total capacity of 60 kW and storage batteries with a capacity of 336 kWh.

The Comparison of Performance Polycrystalline and Amorphous Solar Panels under Malang City Weather Conditions

Amorphous Silicon type solar panels, which had a bad reputation in the past, are now considered very reliable, with several significant advantages over Mono Crystalline and Polycrystalline solar panels. Research on the effectiveness of the capture power of Amorphous Silicon compared to Silicon Crystalline solar panels types is still not much done.The purpose of this study was to explain the effect of solar radiation on the capture power of polycrystalline and amorphous solar panels.This research method includes solar panel installation, measurement of solar radiation, measurement of the resulting current and voltage, data analysis, discussion, and conclusions. The independent variables of the study were the resulting current and voltage, and the type of solar panels (Polycrystalline and Amorphous). The dependent variable of this research are actual power and efficiency.The results showed that the greater the solar radiation, the higher the actual power and efficiency produced by the solar panels. Polycrystalline type solar panels are capable of producing higher average actual power and average efficiency, namely 86.83 W and 11.92%, compared to amorphous solar panels, namely 43.88 W and 6.01%.
 Keywords: Monocrystalline, Polycrystalline, Normalized Power Output Efficiency, Performance Ratio

A robust parameter estimation approach based on stochastic fractal search optimization algorithm applied to solar PV parameters

Modeling of solar photovoltaic (PV) cell/modules to estimate its parameters with the measured current–voltage (I–V ) values is a very important issue for the control, optimization, and effectiveness of the PV systems. Therefore, in this research work, a robust approach based on Stochastic Fractal Search (SFS) optimization algorithm is introduced to estimate accurate and reliable values of solar PV parameters for its precise modeling. To assess the excellence of the proposed SFS algorithm, different solar PV equivalent circuit models, i.e. single-diode model (SDM), double-diode model (DDM), and PV module model are taken into consideration. The introduced algorithm is examined under three different case studies; (i) first case study: an experimental standard dataset of a commercial R.T.C. France silicon solar cell working at 33°C, and solar radiance of 1000 W/m2; (ii) second case study: using a polycrystalline solar panel STP6 120/36 with 36 cells in series working at 22°C, and (iii) third case study: an experimental dataset of ESP-160 PPW PV module working at 45°C, this experimentation were carried out in the Laboratory of Renewable Energy at Assiut University, Egypt. The results obtained using the proposed method are compared with other recently published works, and hence, the achieved results show the superiority, perfectness, and effective modeling concerning various performance parameters. Thereby, the proposed SFS approach can be used for effective PV modeling to improve the efficiency of the PV system.

Crack Extraction for Polycrystalline Solar Panels

Crack extraction of solar panels has become a research focus in recent years. The cracks are small and hidden. In addition, there are particles of irregular shape and size on the surface of the polycrystalline solar panel, whose reflection position and direction are random. Therefore, there is a complex and uneven texture background on the solar panel image, which makes the crack extraction more difficult. In this paper, a crack extraction method combining image texture and morphological features is proposed. Firstly, the background texture and multi-scale details are suppressed by the linear filter and the Laplace pyramid decomposition method. Secondly, the edge can be extracted based on the modulus maximum method of the wavelet transform. Finally, cracks were extracted by using the improved Fuzzy C-means (FCM) clustering combining the morphological and texture features of the cracks. To make the extraction results more accurate and reasonable, an improved region growth algorithm is proposed to optimize the extraction results. All of the above research is closely centered on the accuracy and stability requirements of the solar cell crack detection, which is also the key point of this paper. The experimental results show that various improved or innovative algorithms proposed in this paper can accurately extract the position of cracks and obtain better extraction results. The detection results have good stability and can be faithful to the actual situation, which will promote the application of solar cells in more fields.