scholarly journals Optical Properties of CaF2 Thin Film Deposited on Borosilicate Glass and Its Electrical Performance in PV Module Applications

2020 ◽  
Vol 10 (16) ◽  
pp. 5647
Author(s):  
Muhammad Aleem Zahid ◽  
Shahzada Qamar Hussain ◽  
Young Hyun Cho ◽  
Junsin Yi

Calcium fluoride (CaF2) is deposited via vacuum thermal evaporation on borosilicate glass to produce an anti-reflection coating for use in solar modules. Macleod’s essential simulation is used to optimize the thickness of the CaF2 coating on the glass. Experimentally, a 120 ± 4 nm-thin CaF2 film on glass shows an average increase of ~4% in transmittance and a decrease of ~3.2% in reflectance, respectively, when compared to that of uncoated glass (Un CG), within the wavelength spectrum of approximately 350 to 1100 nm. The electrical PV performance of CaF2-coated glass (CaF2-CG) was analyzed for conventional and lightweight photovoltaic module applications. An improvement in the short-circuit current (Jsc) from 38.13 to 39.07 mA/cm2 and an increase of 2.40% in the efficiency (η) was obtained when CaF2-CG glass was used instead of Un CG in a conventional module. Furthermore, Jsc enhancement from 35.63 to 36.44 mA/cm2 and η improvement of 2.32% was observed when a very thin CaF2-CG was placed between the polymethyl methacrylate (PMMA) and solar cell in a lightweight module.

Author(s):  
Narimane Khelfaoui ◽  
Ahmed Djafour ◽  
Khadidja Bouali ◽  
Mohamed Bilal Danoune ◽  
Abdelmoumon Gougui ◽  
...  

Abstract To predict the I-V characteristics of the photovoltaic module, five parameters photovoltaic model Abstract: To predict the I-V characteristics of the photovoltaic module, five parameters photovoltaic model was utilized. The most influential parameters in the photovoltaic module are the solar irradiance level (E) and the temperature (T). The present research was conducted due to the high-temperature values in Ouargla city (can reach 60 °C in the hot season), which will affect remarkably the installed PV installations in this region. The experimental was done in several days cause the investigation need a constant irradiance values with different temperature. The temperature of a photovoltaic module varies according to other conditions, the temperature measurements made on the rear face of the PV module may not be indicative due to a temperature gradient in the material of the rear face of the module. Unfortunately, photovoltaic systems manufacturers do not take into consideration these environmental circumstances which negatively influence the module parameters and yielded deterioration in the system efficiency. The aim of this paper is to investigate the effect of the temperature term on the electrical performances such as the open circuit voltage (Voc), short circuit current (Isc), optimal power (Pm) and Fill Factor. The temperature distribution is non-uniform temperature on the surface of PV modules joined to that of the quality of temperature measurements affects the values of temperature coefficients found. To validate a model allows the researcher to get approximately the I-V characteristic similar to the experiment values. It use the conventional technique (Newton Raphson method) and it was compared by an artificial intelligent method which is the PSO technique, the five parameters estimated (Iph, Is, Rs, Rp, n). This proposed approach can be utilized to model any marketable PV module based on given datasheet parameters only. Statistical indicators were adopted to evaluate the performance of the proposed models; where the relative error of the PSO method comes more less the conventional method.


2016 ◽  
Vol 6 (1) ◽  
pp. 9 ◽  
Author(s):  
Naznin Nahar Nipu ◽  
Avijit Saha ◽  
Md. Fayyaz Khan

A Solar panel is rated such that it can yield optimum output under Standard Testing Conditions (STC). But due to different environmental factors the efficiency of the panel is reduced gradually after installation. Accumulation of dust on solar PV panel is one such natural phenomenon. When dust accumulates on the PV panel, the temperature of the cells increases which subsequently decreases the open circuit voltage. The short circuit current is also reduced as deposition of dust causes shading on the panel surface. As a result, the output power of the module decreases. In this paper, the effect of dust on the performance of the photovoltaic module has been studied. The increase in temperature due to dust accumulation has been visualized through the thermal camera and the reduction in power has been analyzed through PSpice simulation and experimental data for the different amount of dust accumulated.


2020 ◽  
Vol 7 (10) ◽  
pp. 384-389
Author(s):  
Jawad Ahmad ◽  

Reliability and long term performance of photovoltaic (PV) system is of vital importance in switching from conventional sources to sustainable one. Design, study and analysis of key components in a photovoltaic power system starting from generation of power to withstands number of climatic stresses and uninterrupted power supply plays a key role. One of the key elements in photovoltaic system is photovoltaic module. Also power generated in photovoltaic system is dependent on a source of energy that changes in every instant and with the passage of time during its operation .Hence it is paramount to build a long lasting photovoltaic module and analyze characteristics of the PV module under various conditions. This paper presents an efficient PV module based on PV equivalent circuit model using MATLAB/Simulink, and compared the simulated model results with manufacturer’s specifications like peak current, peak voltage, open circuit voltage and short circuit current .Also the performance of the module under variation of series resistance, irradiation, and temperature are analyzed. Data from five different areas across KP are noted and the results were Simulated and compared with the rated data.


Inventions ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 45 ◽  
Author(s):  
Waleed I. Hameed ◽  
Baha A. Sawadi ◽  
Safa J. Al-Kamil ◽  
Mohammed S. Al-Radhi ◽  
Yasir I. A. Al-Yasir ◽  
...  

Prediction of solar irradiance plays an essential role in many energy systems. The objective of this paper is to present a low-cost solar irradiance meter based on artificial neural networks (ANN). A photovoltaic (PV) mathematical model of 50 watts and 36 cells was used to extract the short-circuit current and the open-circuit voltage of the PV module. The obtained data was used to train the ANN to predict solar irradiance for horizontal surfaces. The strategy was to measure the open-circuit voltage and the short-circuit current of the PV module and then feed it to the ANN as inputs to get the irradiance. The experimental and simulation results showed that the proposed method could be utilized to achieve the value of solar irradiance with acceptable approximation. As a result, this method presents a low-cost instrument that can be used instead of an expensive pyranometer.


2019 ◽  
Vol 9 ◽  
pp. 59-69
Author(s):  
Alok Dhaundiyal ◽  
Divine Atsu

This paper presents the modeling and simulation of the characteristics and electrical performance of photovoltaic (PV) solar modules. Genetic coding is applied to obtain the optimized values of parameters within the constraint limit using the software MATLAB. A single diode model is proposed, considering the series and shunt resistances, to study the impact of solar irradiance and temperature on the power-voltage (P-V) and current-voltage (I-V) characteristics and predict the output of solar PV modules. The validation of the model under the standard test conditions (STC) and different values of temperature and insolation is performed, as well as an evaluation using experimentally obtained data from outdoor operating PV modules. The obtained results are also subjected to comply with the manufacturer’s data to ensure that the proposed model does not violate the prescribed tolerance range. The range of variation in current and voltage lies in the domain of 8.21 – 8.5 A and 22 – 23 V, respectively; while the predicted solutions for current and voltage vary from 8.28 – 8.68 A and 23.79 – 24.44 V, respectively. The measured experimental power of the PV module estimated to be 148 – 152 W is predicted from the mathematical model and the obtained values of simulated solution are in the domain of 149 – 157 W. The proposed scheme was found to be very effective at determining the influence of input factors on the modules, which is difficult to determine through experimental means.


Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4389
Author(s):  
Juhee Jang ◽  
Kyungsoo Lee

Bifacial photovoltaic (PV) modules can take advantage of rear-surface irradiance, enabling them to produce more energy compared with monofacial PV modules. However, the performance of bifacial PV modules depends on the irradiance at the rear side, which is strongly affected by the installation setup and environmental conditions. In this study, we experiment with a bifacial PV module and a bifacial PV system by varying the size of the reflective material, vertical installation, temperature mismatch, and concentration of particulate matter (PM), using three testbeds. From our analyses, we found that the specific yield increased by 1.6% when the reflective material size doubled. When the PV module was installed vertically, the reduction of power due to the shadow effect occurred, and thus the maximum current was 14.3% lower than the short-circuit current. We also observed a maximum average surface temperature mismatch of 2.19 °C depending on the position of the modules when they were composed in a row. Finally, in clear sky conditions, when the concentration of PM 10 changed by 100 µg/m3, the bifacial gain increased by 4%. In overcast conditions, when the concentration of PM 10 changed by 100 µg/m3, the bifacial gain decreased by 0.9%.


1963 ◽  
Vol 205 (5) ◽  
pp. 1063-1066 ◽  
Author(s):  
Robert I. Macey ◽  
Daniel C. Koblick

Effects of choline on short-circuit current and radioactive sodium flux were measured in isolated frog skins. Replacement of control ions (K or Mg) by choline in the outside solution increased the short-circuit current and inward Na flux. When K was the control ion, the average increase in short-circuit current was 52%; with Mg, it was 36%. In both cases, the increase in inward Na flux accounted for about 75% of the short-circuit current increase, while passive choline movement possibly accounted for the remainder. Similar results were obtained using tetramethylammonium and tetraethylammonium in place of choline. One implication of these results is that studies in which choline is used as an inert substitute for Na must be interpreted with caution.


2020 ◽  
Vol 167 ◽  
pp. 01002
Author(s):  
Sze-Mun Lam ◽  
Man-Kit Choong ◽  
Jin-Chung Sin ◽  
Honghu Zeng

An effective PFC constructed from ZnO/Zn photoanode and carbon cloth cathode has been proposed to oxidatively degrade organics and reductively treat Cu (II) in the semiconductor wastewater accompanied with electricity production. The cell electrical performance with open circuit voltage of 835 V, maximum power density of 0.003623 mW cm-2 and short circuit current density of 0.0506 mA cm-2 can be obtained using optimized catalyst loading of 1.0 g L-1 and semiconductor wastewater concentration of 10 mg L-1. Under the optimal test, more photogenerated electrons will be facilitated for charge carrier separation in the photoanode, accelerating the organics degradation on anode, and subsequently the electron migrating to cathode for Cu (II) reduction. A complete mineralization with 10 mg L-1 COD and more than 70% Cu (II) removal efficiency can be attained within 180 min. A good reproducibility test has been also witnessed because of the stable photoanode and cathode materials. This work may pave an effective and sustainable approach to concurrently eliminate two kinds of contaminants with energy recuperation in a single chamber.


2017 ◽  
Vol 65 (1) ◽  
pp. 67-72
Author(s):  
Md Habibur Rahman ◽  
Nasif Shams ◽  
Gour Chand Mazumder ◽  
Saiful Huque

This paper describes the design, development and performance of a locally developed data acquisition system for solar PV module with variable load. The system can automatically change the operating point of a PV module and acquire the output voltage and load current into computer and then analyze. To change the operating point, a variable load has been developed by IRF250 MOSFETs. The current drawn by the load from the PV module is controlled by a staircase voltage, which is developed by a counter and a DAC. The count value of the counter and hence the voltage level of the staircase is changed by an Arduino-based controlling unit. To get the short-circuit current, the PV module is connected in series with a high ampere power supply and the voltage across the PV module is conditioned by a difference amplifier and fed to an ADC channel of the controlling unit. The output current of the PV module has been sensed by a Hall sensor, ACS712, and read by another ADC channel. To make the whole system automatic, a program has been developed using Arduino IDE and loaded in the Arduino board. With the help of this program, the system can measure the current and voltage of the PV module and send to a PC. This acquired data is processed by software and the performance of the PV module is obtained. The system has been developed in laboratory and its performance has been studied. Although, there are some fluctuations in the acquired data but with filtration satisfactory performance is obtained. This instrument can be used for PV module testing purpose. Dhaka Univ. J. Sci. 65(1): 67-72, 2017 (January)


AIMS Energy ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1192-1212
Author(s):  
Honnurvali Mohamed Shaik ◽  
◽  
Adnan Kabbani ◽  
Abdul Manan Sheikh ◽  
Keng Goh ◽  
...  

<abstract> <p>Degradation of PV modules have a severe impact on its power-producing capabilities thus affecting the reliability, performance over the long run. To understand the PV degradation happening under the influence of local environmental conditions a survey was conducted on six polycrystalline silicon-based PV modules over five years. It has been observed that the average degradation rates stood at 1.02%/year at irradiances 800 W/m<sup>2</sup> and 0.99%/year at irradiances 600 W/m<sup>2</sup>, which are almost double the manufacturer proposed values. Upon further investigations, it has been found that discoloration of encapsulant in modules 3, 5, and 6 have been the main factor causing the reduction of the short circuit current (I<sub>sc</sub>) thus affecting the overall power production capacity of the installed PV system. Considering the amount of time, resources and manpower invested to perform this survey an alternate way of estimating the PV degradation rates is also investigated. The exponential decay factor-based model is adopted to correlate the encapsulant discoloration seen on-site in the form of a mathematical equation to predict the current loss. This loss is defined as the visual loss factor in this paper. Further, the output I-V curves are simulated using MATLAB Simulink-based mathematical model which also integrates visual loss factor (VLF) losses into it. Such simulated I-V curves have shown a good match with the measured I-V curves at the same irradiance with an error less than 3%. Authors anticipate that this modelling approach can open the door for further research in developing algorithms that can simulate the PV degradation rates.</p> </abstract>


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