The Experts below are selected from a list of 22530 Experts worldwide ranked by ideXlab platform
A Senturk - One of the best experts on this subject based on the ideXlab platform.
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investigation of datasheet provided temperature coefficients of Photovoltaic Modules under various sky profiles at the field by applying a new validation procedure
Renewable Energy, 2020Co-Authors: A SenturkAbstract:Abstract In this study, datasheet provided temperature coefficients of commercially available Photovoltaic Modules were investigated by taking into account the actual performance parameters (output peak power, short-circuit current and open-circuit current) under different sky profiles (clear, partly cloudy and cloudy) at field by introducing a new validation procedure. This procedure is based on two cases. The first case covers irradiation and temperature whereas the second case covers only irradiation by neglecting the temperature coefficient parts in the actual performance parameters calculation. The actual performance parameters of mono crystalline silicon and cupper indium gallium selenide Photovoltaic Modules were measured under different sky profiles at field and calculated for considered cases. Measured and calculated results were compared by using the root mean square error and the relative mean error tools. It has been founded that temperature coefficients of commercially available Photovoltaic Modules could deviate from their datasheet provided values under cloudy sky profile at field. As a result of this, it has been concluded that users should take into account sky profiles at the site where Photovoltaic Modules are going to be deployed in order to calculate the actual performance parameters and the output energy accurately.
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a new method to simulate Photovoltaic performance of crystalline silicon Photovoltaic Modules based on datasheet values
Renewable Energy, 2017Co-Authors: A SenturkAbstract:Determination of Photovoltaic performance based on single diode model and various methods requires iterative techniques, additional mandatory information and users with a certain level of knowledge. Further, the most of reported methods suffer from lack of details that make them non-repeatable. In this study, a new method based on single diode model is presented. This new method utilizes a new empirical relation that allows calculating the initial value of series resistance and thus extracting the reference model parameters solely from datasheet values provided by manufacturers. Validity of the new empirical relation has been tested through examining the 50 commercially available crystalline (poly and mono) silicon based Photovoltaic Modules. Simulation accuracy of the new method was tested for using experimental data from back contact mono crystalline silicon Photovoltaic module, deployed outdoor and for published current-voltage curves of poly crystalline silicon Photovoltaic module. The new method was compared also with other similar methods. The new method that is accurate and easy to employ requires no iterative techniques, no additional mandatory information and no users having special knowledge but only datasheet values given in technical catalogue of Photovoltaic Modules as simulating Photovoltaic performance.
Alessandra Di Gangi - One of the best experts on this subject based on the ideXlab platform.
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a procedure to calculate the i v characteristics of thin film Photovoltaic Modules using an explicit rational form
Applied Energy, 2015Co-Authors: R Miceli, Aldo Orioli, Alessandra Di GangiAbstract:Abstract Accurate models of the electrical behaviour of Photovoltaic Modules are effective tools for system design. One or two diode equivalent circuits have been widely used even though some mathematical difficulties were found dealing with implicit equations. In this paper, a new model based on a simple rational function, which does not contain any implicit exponential form, is presented. The model was conceived in order to be used with thin-film Photovoltaic Modules, whose current–voltage curves are characterised by very smooth shapes. The parameters of the model are evaluated by means of the derivatives of the issued characteristics in the short circuit and open circuit points at standard rating conditions, and assuming that the calculated current–voltage curve contains the rated maximum power point of the simulated panel. The capability of the model to calculate the current–voltage characteristic for values of the solar irradiance and cell temperature far from the standard rating conditions was verified for various thin-film technologies, such as CIS, CIGS, amorphous silicon, tandem and triple-junctions Photovoltaic Modules. A comparison with the results obtained by another rational model and other two-diode models, which were used to simulate the electrical behaviour of thin-film Photovoltaic Modules, is also presented.
Traci Jester - One of the best experts on this subject based on the ideXlab platform.
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empirical investigation of the energy payback time for Photovoltaic Modules
Solar Energy, 2001Co-Authors: K Knapp, Traci JesterAbstract:Abstract Energy payback time is the energy analog to financial payback, defined as the time necessary for a Photovoltaic panel to generate the energy equivalent to that used to produce it. This research contributes to the growing literature on net benefits of renewable energy systems by conducting an empirical investigation of as-manufactured Photovoltaic Modules, evaluating both established and emerging products. Crystalline silicon Modules achieve an energy break-even in 3 to 4 years. At the current R&D pilot production rate (8% of capacity) the energy payback time for thin film copper indium diselenide Modules is between 9 and 12 years, and in full production is ∼2 years. Over their lifetime, these solar panels generate 7 to 14 times the energy required to produce them. Energy content findings for the major materials and process steps are presented, and important implications for current research efforts and future prospects are discussed.
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an empirical perspective on the energy payback time for Photovoltaic Modules
2000Co-Authors: Karl E Knapp, Traci JesterAbstract:Energy payback time is the energy analog to financial payback, defined as the time necessary for a Photovoltaic panel to generate the energy equivalent to that used to produce it. This research contributes to the growing literature on net benefits of renewable energy systems by conducting an empirical investigation of as-manufactured Photovoltaic Modules, evaluating both established and emerging products. Crystalline silicon Modules achieve an energy break-even in a little over three years. At the current R&D pilot production rate (8% of capacity) the energy payback time for thin film copper indium diselenide Modules is between nine and ten years, and in full production is just under two years. Over their lifetime, these solar panels generate nine to seventeen times the energy required to produce them. Energy content findings for the major materials and process steps are presented, and important implications for current research efforts and future prospects are discussed.
Hugo Marcelo Veit - One of the best experts on this subject based on the ideXlab platform.
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recycling weee polymer characterization and pyrolysis study for waste of crystalline silicon Photovoltaic Modules
Waste Management, 2017Co-Authors: Pablo Dias, Selene Javimczik, Mariana Goncalves Benevit, Hugo Marcelo VeitAbstract:Photovoltaic (PV) Modules contain both valuable and hazardous materials, which makes its recycling meaningful economically and environmentally. In general, the recycling of PV Modules starts with the removal of the polymeric ethylene-vinyl acetate (EVA) resin using pyrolysis, which assists in the recovery of materials such as silicon, copper and silver. The pyrolysis implementation, however, needs improvement given its importance. In this study, the polymers in the PV Modules were characterized by Fourier transform infrared spectroscopy (FTIR) and the removal of the EVA resin using pyrolysis has been studied and optimized. The results revealed that 30min pyrolysis at 500°C removes >99% of the polymers present in Photovoltaic Modules. Moreover, the behavior of different particle size milled Modules during the pyrolysis process was evaluated. It is shown that polymeric materials tend to remain at a larger particle size and thus, this fraction has the greatest mass loss during pyrolysis. A thermo gravimetric analysis (TGA) performed in all polymeric matter revealed the optimum pyrolysis temperature is around 500°C. Temperatures above 500°C continue to degrade matter, but mass loss rate is 6.25 times smaller. This study demonstrates the use of pyrolysis can remove >99% of the polymeric matter from PV Modules, which assists the recycling of this hazardous waste and avoids its disposal.
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recycling weee extraction and concentration of silver from waste crystalline silicon Photovoltaic Modules
Waste Management, 2016Co-Authors: Pablo Ribeiro Dias, Selene Javimczik, Mariana Goncalves Benevit, Hugo Marcelo Veit, Andrea BernardesAbstract:Photovoltaic Modules (or panels) are important power generators with limited lifespans. The Modules contain known pollutants and valuable materials such as silicon, silver, copper, aluminum and glass. Thus, recycling such waste is of great importance. To date, there have been few published studies on recycling silver from silicon Photovoltaic panels, even though silicon technology represents the majority of the Photovoltaic market. In this study, the extraction of silver from waste Modules is justified and evaluated. It is shown that the silver content in crystalline silicon Photovoltaic Modules reaches 600 g/t. Moreover, two methods to concentrate silver from waste Modules were studied, and the use of pyrolysis was evaluated. In the first method, the Modules were milled, sieved and leached in 64% nitric acid solution with 99% sodium chloride; the silver concentration yield was 94%. In the second method, Photovoltaic Modules were milled, sieved, subjected to pyrolysis at 500 °C and leached in 64% nitric acid solution with 99% sodium chloride; the silver concentration yield was 92%. The first method is preferred as it consumes less energy and presents a higher yield of silver. This study shows that the use of pyrolysis does not assist in the extraction of silver, as the yield was similar for both methods with and without pyrolysis.
Masahiro Yoshita - One of the best experts on this subject based on the ideXlab platform.
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voltage dependent temperature coefficient of the i v curves of crystalline silicon Photovoltaic Modules
IEEE Journal of Photovoltaics, 2018Co-Authors: Yoshihiro Hishikawa, Takuya Doi, Michiya Higa, Kengo Yamagoe, Hironori Ohshima, Takakazu Takenouchi, Masahiro YoshitaAbstract:The temperature dependence of the I–V curves of various kinds of commercial crystalline silicon Photovoltaic Modules is investigated, based on experiments by using a solar simulator and a thermostatic chamber. The temperature coefficient (TC) of the output voltage of the Modules with p-n junction technology is found to closely agree with a formula as a function of their output voltage per cell and temperature, throughout the voltage range of about 0.5–0.7 V per cell, which is important for estimating the P max, fill factor, and V oc of the Modules. The formula is derived from a one-diode model, and reproduces the TC of the I–V curves within ±5% relative error without adjusting the parameter for each module. The formula is successfully applied for translating the Modules' I–V curves.
