scholarly journals Simulations Based on Experimental Data of the Behaviour of a Monocrystalline Silicon Photovoltaic Module

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Abraham Dandoussou ◽  
Martin Kamta ◽  
Laurent Bitjoka ◽  
Patrice Wira ◽  
Alexis Kuitché
Keyword(s):  
Experimental Data ◽  
Ideality Factor ◽  
Extraction Method ◽  
Series Resistance ◽  
Least Square Method ◽  
Monocrystalline Silicon ◽  
Least Square ◽  
Photovoltaic Module ◽  
Saturation Current ◽  
Reverse Saturation Current

The performance of monocrystalline silicon cells depends widely on the parameters like the series and shunt resistances, the diode reverse saturation current, and the ideality factor. Many authors consider these parameters as constant while others determine their values based on the I-V characteristic when the module is under illumination or in the dark. This paper presents a new method for extracting the series resistance, the diode reverse saturation current, and the ideality factor. The proposed extraction method using the least square method is based on the fitting of experimental data recorded in 2014 in Ngaoundere, Cameroon. The results show that the ideality factor can be considered as constant and equal to 1.2 for the monocrystalline silicon module. The diode reverse saturation current depends only on the temperature. And the series resistance decreases when the irradiance increases. The extracted values of these parameters contribute to the best modeling of a photovoltaic module which can help in the accurate extraction of the maximum power.

scholarly journals Numerical approach for extraction of photovoltaic generator single-diode model parameters

2021 ◽  
Vol 2 (2) ◽  
pp. 58-66
Author(s):  
Abdelaaziz Benahmida ◽  
Noureddine Maouhoub ◽  
Hassan Sahsah
Keyword(s):  
Ideality Factor ◽  
Series Resistance ◽  
Least Square Method ◽  
Numerical Approach ◽  
Least Square ◽  
Physical Parameters ◽  
Model Parameters ◽  
Shunt Resistance ◽  
Key Points ◽  
Photovoltaic Generators

In this work, a numerical approach has been proposed to estimate the five single-diode circuit model physical parameters of photovoltaic generators from their experimental current-voltage characteristics. Linear least square method has been used to solve the system of three linear equations to express the shunt resistance, the saturation current and the photocurrent as a function of the series resistance and the ideality factor. Two key points have been used to solve the system of two nonlinear equations to extract values of series resistance and ideality factor. The advantage of the proposed method with respect of existing numerical techniques is that use only two key points of the experimental characteristic and need only two initial guesses and does not use any approximation. To evaluate the proposed method, three PV generators data have been used to compare the experimental and the theoretical curves. The application of the proposed method provides a good agreement with the experimental.

scholarly journals Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions

2021 ◽  
pp. 46-53
Author(s):  
F. Akbar ◽  
T. Mehmood ◽  
K. Sadiq ◽  
M.F. Ullah
Keyword(s):  
Series Resistance ◽  
Least Square Method ◽  
Least Square ◽  
Flower Pollination Algorithm ◽  
Solar Photovoltaic ◽  
Saturation Current ◽  
Unknown Parameters ◽  
Shunt Resistance ◽  
Flower Pollination ◽  
Diode Ideality Factor

Introduction. With the snowballing requirement of renewable resources of energy, solar energy has been an area of key concern to the increasing demand for electricity. Solar photovoltaic has gotten a considerable amount of consideration from researchers in recent years. Purpose. For generating nearly realistic curves for the solar cell model it is needed to estimate unknown parameters with utmost precision. The five unknown parameters include diode-ideality factor, shunt-resistance, photon-current, diode dark saturation current, and series-resistance. Novelty. The proposed research method hybridizes flower pollination algorithm with least square method to better estimate the unknown parameters, and produce more realistic curves. Methodology. The proposed method shows many promising results that are more realistic in nature, as compared to other methods. Shunt-resistance and series-resistance are considered and diode constant is not neglected in this approach that previously has been in practice. The values of series-resistance and diode-ideality factor are found using flower pollination algorithm while shunt-resistance, diode dark saturation current and photon-current are found through least square method. Results. The combination of these techniques has achieved better results compared to other techniques. The simulation studies are carried on MATLAB/Simulink.

scholarly journals The effects of electron irradiation and thermal dependence measurements on 4H-Sic Schottky diode

2017 ◽  
Vol 51 (12) ◽  
pp. 1721
Author(s):  
Sabuhi Ganiyev ◽  
M. Azim Khairi ◽  
D. Ahmad Fauzi ◽  
Yusof Abdullah ◽  
N.F. Hasbullah
Keyword(s):  
Barrier Height ◽  
Ideality Factor ◽  
Elevated Temperatures ◽  
Series Resistance ◽  
Schottky Diodes ◽  
High Energy ◽  
Bias Current ◽  
N Saturation ◽  
Saturation Current ◽  
Current Voltage

In this paper the effects of high energy (3.0 MeV) electrons irradiation over a dose ranges from 6 to 15 MGy at elevated temperatures 298 to 448 K on the current-voltage characteristics of 4H-SiC Schottky diodes were investigated. The experiment results show that after irradiation with 3.0 MeV forward bias current of the tested diodes decreased, while reverse bias current increased. The degradation of ideality factor, n, saturation current, Is, and barrier height, Phib, were not noticeable after the irradiation. However, the series resistance, Rs, has increased significantly with increasing radiation dose. In addition, temperature dependence current-voltage measurements, were conducted for temperature in the range of 298 to 448 K. The Schottky barrier height, saturation current, and series resistance, are found to be temperature dependent, while ideality factor remained constant. DOI: 10.21883/FTP.2017.12.45193.8646

Extraction of the Parameters from I-V Data for Nonideal Photodetectors: A Comparative Study

2005 ◽  
Vol 494 ◽  
pp. 83-88
Author(s):  
A. Vasić ◽  
P. Osmokrović ◽  
B. Lončar ◽  
S. Stanković
Keyword(s):  
Comparative Study ◽  
Ideality Factor ◽  
Series Resistance ◽  
Semiconductor Devices ◽  
Saturation Current ◽  
Made In

Parameters that characterize semiconductor devices are often determined with difficulty, and their values very frequently depend on the method used for measurements and analysis. The extraction of diode parameters from the obtained I-V measurements could be complicated by their dependence on the voltage and the presence of series resistance. Therefore, an interpretation of the experimental I-V data must be very carefully made. In this paper, some methods for obtaining diode parameters such as saturation current, ideality factor and series resistance are presented. An evaluation of these methods based on their application for the extraction of the relevant parameters of photodiodes is also performed. Some of the methods that produce reliable and reproducible results are evaluated based on the experimentally obtained results, and in the view of the complexity of the used methods and their limitations.

Temperature dependence of current-voltage characteristics in μc-Si:H and pm-Si:H PIN structures

2012 ◽  
Vol 1426 ◽  
pp. 365-370
Author(s):  
Francisco Temoltzi Avila ◽  
Andrey Kosarev ◽  
Ismael Cosme ◽  
Mario Moreno ◽  
P. Roca y Cabarrocas
Keyword(s):  
Temperature Dependence ◽  
Temperature Change ◽  
Ideality Factor ◽  
Dark Current ◽  
Series Resistance ◽  
Equivalent Circuit Model ◽  
Saturation Current ◽  
Current Voltage ◽  
Current Voltage Characteristics

ABSTRACTThe dark current-voltage characteristics of PIN structures are studied and analyzed for PV samples as for integral device without taking account the performance of the different elements typically used in equivalent circuit model such as diode n-factor, shunt and series resistances. The contribution of all these elements is very important in the development of devices because they determine the performance characteristics. In this work we have studied and compared the temperature dependence of current-voltage characteristics in μc-Si:H and pm-Si:H p-i-n structures having approximately the same efficiencies with emphasis on their different electronic characteristics such as shunt (Rsh) and series (Rs) resistance, ideality factor (n), and the saturation current (Is), which give us some ideas on role of these elements. In the pm-Si:H cell it was observed that the Rs increases with the increase of the temperature in contrast to the μc-Si:H structures, where the series resistance reduces with temperature change from T = 300 up to 480K. In both the pm-Si:H and μc-Si:H samples Rshreduces with temperature change from 300 up to 480 K. The ideality factor in the pm-Si:H structure shows an increase, and in μc-Si:H a reduction, when temperature increases. Saturation current in both cases increases with temperature as it was expected. From the saturation current it was obtained the build-in potential. Analysis behavior of both saturation current and n-factor with temperature shows that build-in potential increases with temperature in the pm-Si:H, but reduces in μc-Si:H structure.

scholarly journals A Mathematical Model for Predicting the Winnowing Efficiency of Bambara Groundnut Sheller

2020 ◽  
Vol 5 (2) ◽  
pp. 225-228
Author(s):  
Inimfon Samuel Ossom ◽  
Akindele Folarin Alonge ◽  
Kingsley Charles Umani ◽  
Edidiong J. Bassey
Keyword(s):  
Experimental Data ◽  
Mathematical Model ◽  
Moisture Content ◽  
Model Equation ◽  
Model Simulation ◽  
Least Square Method ◽  
Bambara Groundnut ◽  
Least Square ◽  
Predicted Model ◽  
Experimental Values

A mathematical model for predicting the winnowing efficiency of bambara groundnut sheller was developed. The regression equation for model simulation was developed using Least Square Method. The model was verified and validated by fitting it into established experimental data from winnowing efficiency of already existed Bambara groundnut sheller. The result revealed that the fitted model correlated well with the experimental data with R-square value of 0.99. The winnowing efficiency obtained from the predicted model was approximately the same values with the experimental values. Therefore, the model equation was considered to be reasonably good for predicting the winnowing efficiency of bambara groundnut sheller for known values of moisture content and blower speed.

Identification of the Dynamic Coefficients of Hybrid Bearings

2011 ◽  
Vol 482 ◽  
pp. 31-38 ◽  
Author(s):  
Kossi Atchonouglo ◽  
Olivier Bonneau ◽  
Pascal Jolly ◽  
Claude Vallée
Keyword(s):  
Experimental Data ◽  
Journal Bearing ◽  
Least Square Method ◽  
Least Square ◽  
Test Rig ◽  
Linear Region ◽  
Complex Test ◽  
Hybrid Bearing ◽  
Coefficients Identification ◽  
Stiffness And Damping

Within the linear region, the oil-film force increment of journal bearing is a fourdegree- of-freedom linear system. This paper presents an experimental method to identify hybrid bearing coefficients. Under various testing conditions described, experimental data are required on a complex test rig. An inverse technique based on least square method in time domain is developped for the coefficients identification. It results from the experimental data exploitation that the linear stiffness and damping coefficients are sensitive to the pressure feed, but the mass coefficients are insensitive.

scholarly journals Kinematic model and its parameter identification for cannula flexible needle insertion into soft tissue

2019 ◽  
Vol 11 (6) ◽  
pp. 168781401985218
Author(s):  
Yan-Jiang Zhao ◽  
Ze-Hua Liu ◽  
Yong-De Zhang ◽  
Zhi-Qing Liu
Keyword(s):  
Experimental Data ◽  
Minimally Invasive Surgery ◽  
Kinematic Model ◽  
Nonholonomic Constraints ◽  
Least Square Method ◽  
Needle Insertion ◽  
Least Square ◽  
Forward Kinematics ◽  
Different Types ◽  
Kinematic Models

In minimally invasive surgery, flexible needle insertion is a popular application which has been extensively researched. However, needle steering is challenging for a bevel tip cannula flexible needle due to the nonholonomic constraints and the rebounds of the needle shaft when the needle tip is reoriented. We proposed a novel kinematic model for the bevel tip cannula flexible needle based on bicycle and unicycle models, taking consideration of the deflection of the bevel tip and the rebounds of the needle shaft. Aiming at different types of paths, forward kinematics of the model was analyzed and calculated. Each parameter of the kinematic models was identified based on the experimental data using the least square method. Furthermore, the changing rules of parameters were explored under different angles of the bevel tip. The experimental results show that the errors of the proposed kinematic models are within 2 mm, which is greatly reduced compared to the traditional bicycle or unicycle model, and fulfill a general clinical surgery.

Research on Boundary Extraction of STL Models based on Genetic Algorithm

2012 ◽  
Vol 566 ◽  
pp. 78-81
Author(s):  
Jing Bin Hao ◽  
Zhong Bin Wang ◽  
Hai Feng Yang ◽  
Zhong Kai Li
Keyword(s):  
Genetic Algorithm ◽  
Extraction Method ◽  
Least Square Method ◽  
Least Square ◽  
Threshold Method ◽  
Boundary Extraction ◽  
Large Complex ◽  
Complex Models ◽  
Curvature Information ◽  
Best Fit

To efficiently decompose a large complex STL model, an improved boundary extraction method is proposed based on genetic algorithm. Three curvature parameters (dihedral angle, perimeter ration and convexity) were used to estimate the surface curvature information. Genetic Algorithm (GA) is used to determinate the threshold of feature edge. The discrete feature edges are grouped and filtered using the best-fit plane (BFP), which is calculated by Least Square Method (LSM). Several experimental results demonstrate that the amount of feature edges is about half of the preset threshold method, and useful feature edges were reserved. The extracted feature boundaries can be directly used to decompose large complex models.

Temperature Dependent Current-Voltage Characteristics of n-Type β-FeSi2/Intrinsic Si/p-Type Si Heterojunctions

2015 ◽  
Vol 1120-1121 ◽  
pp. 435-439
Author(s):  
Nathaporn Promros ◽  
Dalin Prajakkan ◽  
Nantharat Hongsa ◽  
Nattanee Suthayanan ◽  
Phongsaphak Sittimart ◽  
...  
Keyword(s):  
Current Density ◽  
Ideality Factor ◽  
Series Resistance ◽  
Linear Part ◽  
Thermionic Emission ◽  
Saturation Current ◽  
Current Voltage ◽  
Saturation Current Density ◽  
Current Voltage Characteristics ◽  
P Type

In this work, n-type β-FeSi2/intrinsic Si/p-type Si heterojunctions were prepared by facing-targets direct-current sputtering. We measured their current-voltage characteristics at low temperatures ranging from 300 K down to 50 K and investigated their ideality factor, saturation current and series resistance using thermionic emission theory and Cheung’s method. From thermionic emission theory, the ideality factor and saturation current density were calculated from the slope of the linear part from the forward lnJ-V and the straight line intercept of lnJ-V at zero voltage, respectively. When the temperature decreased from 300 K down to 50 K, the ideality factor increased from 1.12 to 11.13, whereas the saturation current density decreased from 2.09 × 10-6 A/cm2 to 1.06 × 10-9 A/cm2. Using Cheung’s method, we plotted the relations of dV/d(lnJ)-J and H(J)-J in order to estimate the series resistance from the slope of both plots. In addition, we estimated the ideality factor from a y-axis intercept of the dV/d(lnJ)-J plot. The series resistances from both plots were consistent with each other and increased with the decreasing temperature. The ideality factor estimated by Cheung’s method was in agreement with that obtained from estimation by thermionic emission theory.

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