The Experts below are selected from a list of 4814097 Experts worldwide ranked by ideXlab platform
O Breitenstein - One of the best experts on this subject based on the ideXlab platform.
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an alternative one diode Model for illuminated solar cells
IEEE Journal of Photovoltaics, 2014Co-Authors: O BreitensteinAbstract:A novel One-Diode Model is proposed for illuminated solar cells, which contains an additional variable resistance describing minority carrier diffusion from the bulk to the p-n junction. This Model naturally describes the differences between photo- and electroluminescence imaging, as well as a well-known departure from the superposition principle.
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an alternative one diode Model for illuminated solar cells
Energy Procedia, 2014Co-Authors: O BreitensteinAbstract:Abstract A novel One-Diode Model is proposed for illuminated solar cells, which contains an additional variable resistance describing minority carrier diffusion from the bulk to the p-n junction. This Model naturally describes the differences between photo- and electroluminescence imaging without the need for correcting the photoluminescence images by short circuit images. It was successfully applied to the quantitative interpretation of photoluminescence images of an industrial multicrystalline silicon cell, where it provides a realistic prediction of the local short circuit current density. Moreover, the novel Model explains a known departure from the superposition principle.
Christian Jooss - One of the best experts on this subject based on the ideXlab platform.
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current voltage characteristics of manganite titanite perovskite junctions
Beilstein Journal of Nanotechnology, 2015Co-Authors: Benedikt Ifland, Patrick Peretzki, Birte Kressdorf, P Saring, Andreas Kelling, M Seibt, Christian JoossAbstract:After a general introduction into the Shockley theory of current voltage (J-V) characteristics of inorganic and organic semiconductor junctions of different bandwidth, we apply the Shockley theory-based, one diode Model to a new type of perovskite junctions with polaronic charge carriers. In particular, we studied manganite-titanate p-n heterojunctions made of n-doped SrTi1- y Nb y O3, y = 0.002 and p-doped Pr1- x Ca x MnO3, x = 0.34 having a strongly correlated electron system. The diffusion length of the polaron carriers was analyzed by electron beam-induced current (EBIC) in a thin cross plane lamella of the junction. In the J-V characteristics, the polaronic nature of the charge carriers is exhibited mainly by the temperature dependence of the microscopic parameters, such as the hopping mobility of the series resistance and a colossal electro-resistance (CER) effect in the parallel resistance. We conclude that a modification of the Shockley equation incorporating voltage-dependent microscopic polaron parameters is required. Specifically, the voltage dependence of the reverse saturation current density is analyzed and interpreted as a voltage-dependent electron-polaron hole-polaron pair generation and separation at the interface.
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Current–voltage characteristics of manganite–titanite perovskite junctions
Beilstein-Institut, 2015Co-Authors: Benedikt Ifland, Patrick Peretzki, Birte Kressdorf, P Saring, Andreas Kelling, M Seibt, Christian JoossAbstract:After a general introduction into the Shockley theory of current voltage (J–V) characteristics of inorganic and organic semiconductor junctions of different bandwidth, we apply the Shockley theory-based, one diode Model to a new type of perovskite junctions with polaronic charge carriers. In particular, we studied manganite–titanate p–n heterojunctions made of n-doped SrTi1−yNbyO3, y = 0.002 and p-doped Pr1−xCaxMnO3, x = 0.34 having a strongly correlated electron system. The diffusion length of the polaron carriers was analyzed by electron beam-induced current (EBIC) in a thin cross plane lamella of the junction. In the J–V characteristics, the polaronic nature of the charge carriers is exhibited mainly by the temperature dependence of the microscopic parameters, such as the hopping mobility of the series resistance and a colossal electro-resistance (CER) effect in the parallel resistance. We conclude that a modification of the Shockley equation incorporating voltage-dependent microscopic polaron parameters is required. Specifically, the voltage dependence of the reverse saturation current density is analyzed and interpreted as a voltage-dependent electron–polaron hole–polaron pair generation and separation at the interface
Antonino Laudani - One of the best experts on this subject based on the ideXlab platform.
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parameter extraction of two diode solar pv Model using fireworks algorithm
Solar Energy, 2016Co-Authors: Sudhakar T Babu, Antonino Laudani, Prasanth J Ram, K Sangeetha, N RajasekarAbstract:Abstract The double diode Model for photovoltaic (PV) modules is currently less adopted than One-Diode Model because of the difficulty in the extraction of its seven unknown parameters I PV , I 01 , I 02 , R s , R p , a 1 and a 2 , which is a serious inverse problem. This paper proposes application of the Fireworks Algorithm (FWA) for the accurate identification of these unknown parameters in such a way to solve effectively this Modeling problem. In particular, firstly, the FWA has been comprehensively tested with two different technologies of Mono-Crystalline (SM55 & SP70) and Multi-Crystalline (Kyocera200GT) PV modules. In addition, further statistical and error analysis for three different panels are exclusively carried out to validate the suitability of proposed methodology. The results of proposed algorithm are benchmarked with popular Genetic Algorithm and Particle Swarm Optimization (PSO) methods. Fitness convergence curves or FWA method for SM55, SP70 and Kyocera200GT produce very less objective function as 2.2498E−07, 2.85765E−08 and 4.0075E−08 respectively. This illustrates the wise and accurate validation of FWA method. Calculated curve-fit via FWA in agreement to datasheet curve strongly suggest the FWA can constitute the core of suitable optimization code for two diode PV parameter extraction.
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identification of the one diode Model for photovoltaic modules from datasheet values
Solar Energy, 2014Co-Authors: Antonino Laudani, Francesco Riganti Fulginei, Alessandro SalviniAbstract:Abstract In recent years several numerical methods have been proposed to identify the One-Diode Model for photovoltaic modules by introducing simplifications/approximations techniques or by using suitable data interpolations from the panel characteristic curves. In this paper a complete theoretical and practical analysis on the extraction of the five parameters identifying the One-Diode Model for photovoltaic modules from data available on PV panel datasheets is proposed. The present theoretical analysis is utilized, from a hand, to gain insight into this Model and, at the same time, to develop few practical rules to strongly improve both the accuracy of the solutions and the computational costs with respect the performances present in literature. In particular, we prove how it is possible to separate the independent variables from the dependent ones within the system by using suitable algebraic manipulations of the commonly used equations. This splitting of the parameters allows a new paradigm in the writing of the open circuit, short circuit and maximum power point constraints, giving the possibility both to exactly verify these conditions and to reduce the dimensions of the search space. Moreover, thanks to this paradigm we have the possibility to address the issues regarding the existence, the uniqueness and the meaningless of the solutions of the identification problem under specific conditions. In this way, the feasible domain of solutions and the conditions for the existence of a unique solution as well as the unphysical solutions will be proven and justified. Lastly some critical issues of the approaches currently used in literature for this problem are discussed and an adequate solution of the identification of the One-Diode Model is provided for PV designers. All the analytical dissertations presented in this work, as well as the obtained results, have been validated on hundreds of PV panels belonging to the California Energy Commission database.
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high performing extraction procedure for the one diode Model of a photovoltaic panel from experimental i v curves by using reduced forms
Solar Energy, 2014Co-Authors: Antonino Laudani, Francesco Riganti Fulginei, Alessandro SalviniAbstract:Abstract In the last years, several numerical techniques were proposed in literature for the identification of the one diode Model of photovoltaic (PV) panels from manufacturers’ data sheets or experimental data. In this paper we present a fast and accurate method for obtaining the five parameters of the one diode Model by starting from the experimental I–V curve of the PV panel. In particular we exploit the adoption of the reduced forms of the original five-parameter Model. These reduced forms take advantage of important mathematical considerations through which the five parameters of the Model are splitted in independent and dependent unknowns, in order to reduce the dimensions of the search space. Thus, the fitting of experimental data can be performed by using a restricted number of unknowns (namely two) and this provides strong benefits in terms of convergence, computational costs and execution times. In this way, the approach allows to characterize a PV panel from its measured I–V curve with an accuracy never obtained before in literature, employing few steps and execution times of few milliseconds on a simple notebook computer. Suitable validations on two important case studies are presented for comparing our procedure with the most recent and effective techniques proposed in literature.
Alessandro Salvini - One of the best experts on this subject based on the ideXlab platform.
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identification of the one diode Model for photovoltaic modules from datasheet values
Solar Energy, 2014Co-Authors: Antonino Laudani, Francesco Riganti Fulginei, Alessandro SalviniAbstract:Abstract In recent years several numerical methods have been proposed to identify the One-Diode Model for photovoltaic modules by introducing simplifications/approximations techniques or by using suitable data interpolations from the panel characteristic curves. In this paper a complete theoretical and practical analysis on the extraction of the five parameters identifying the One-Diode Model for photovoltaic modules from data available on PV panel datasheets is proposed. The present theoretical analysis is utilized, from a hand, to gain insight into this Model and, at the same time, to develop few practical rules to strongly improve both the accuracy of the solutions and the computational costs with respect the performances present in literature. In particular, we prove how it is possible to separate the independent variables from the dependent ones within the system by using suitable algebraic manipulations of the commonly used equations. This splitting of the parameters allows a new paradigm in the writing of the open circuit, short circuit and maximum power point constraints, giving the possibility both to exactly verify these conditions and to reduce the dimensions of the search space. Moreover, thanks to this paradigm we have the possibility to address the issues regarding the existence, the uniqueness and the meaningless of the solutions of the identification problem under specific conditions. In this way, the feasible domain of solutions and the conditions for the existence of a unique solution as well as the unphysical solutions will be proven and justified. Lastly some critical issues of the approaches currently used in literature for this problem are discussed and an adequate solution of the identification of the One-Diode Model is provided for PV designers. All the analytical dissertations presented in this work, as well as the obtained results, have been validated on hundreds of PV panels belonging to the California Energy Commission database.
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high performing extraction procedure for the one diode Model of a photovoltaic panel from experimental i v curves by using reduced forms
Solar Energy, 2014Co-Authors: Antonino Laudani, Francesco Riganti Fulginei, Alessandro SalviniAbstract:Abstract In the last years, several numerical techniques were proposed in literature for the identification of the one diode Model of photovoltaic (PV) panels from manufacturers’ data sheets or experimental data. In this paper we present a fast and accurate method for obtaining the five parameters of the one diode Model by starting from the experimental I–V curve of the PV panel. In particular we exploit the adoption of the reduced forms of the original five-parameter Model. These reduced forms take advantage of important mathematical considerations through which the five parameters of the Model are splitted in independent and dependent unknowns, in order to reduce the dimensions of the search space. Thus, the fitting of experimental data can be performed by using a restricted number of unknowns (namely two) and this provides strong benefits in terms of convergence, computational costs and execution times. In this way, the approach allows to characterize a PV panel from its measured I–V curve with an accuracy never obtained before in literature, employing few steps and execution times of few milliseconds on a simple notebook computer. Suitable validations on two important case studies are presented for comparing our procedure with the most recent and effective techniques proposed in literature.
Mushahid Husain - One of the best experts on this subject based on the ideXlab platform.
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effect of illumination intensity on cell parameters of a silicon solar cell
Solar Energy Materials and Solar Cells, 2010Co-Authors: Firoz Khan, Sukhvir Singh, Mushahid HusainAbstract:The effect of illumination intensity Pin on the cell parameters of a silicon solar cell has been investigated based on one diode Model. The variation of slopes of the I–V curves of a cell at short circuit and open circuit conditions with intensity of illumination in small span of intensity has been applied to determine the cell parameters, viz. shunt resistance Rsh, series resistance Rs, diode ideality factor n and reverse saturation current I0 of the cell. The dependence of cell parameters on intensity has been investigated for a fairly wide illumination intensity range 15–180 mW/cm2 of AM1.5 solar radiations by dividing this intensity range into a desirable number of small intensity ranges for measurements of the slopes of the I–V curves at short circuit and open circuit conditions. Initially Rsh increases slightly with Pin and then becomes constant at higher Pin values. However, Rs, n and I0 all decrease continuously with Pin, but the rate of decrease of each of these becomes smaller at higher Pin values. Theoretical values of open circuit voltage Voc, curve factor CF and efficiency η calculated using the cell parameters determined by the present method match well with the corresponding experimental values.
