Identification the internal parameters for mono-crystalline solar module using Matlab-simulation and experimental ascertainment

Nafil, Rabea Q.; Khamees, Hussein Thary; Majeed, Munaf S.

doi:10.12928/telkomnika.v19i3.16239

Cited by 4 publications

(3 citation statements)

References 17 publications

(17 reference statements)

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“…Zhu gave a numerical algorithm based on the probabilistic representation of the branchdiffusion process, which exploits the fact that the solutions of semilinear PDEs with a polynomial nonlinear form can be expressed as the expectation of the branch-diffusion process functional; although this method does not have the curse of dimensionality problem, its applicability is still limited due to the instability of the approximate solution in finite time [6]. For the high-dimensional case of such equations, Nafil et al developed an algorithm based on compressed sensing and the Hopf formulation of the Hamilton-Jacobi equation, which achieved good numerical performance in high-dimensional cases [7]. Abdulwahid et al proposed a general algorithm for this type of equation based on the Feynman-Kac formula, Bismut-Elworthy-Li formula, and Picard iterative multilevel decomposition, which has been proven for some applications in finance and physics very effective.…”

Section: Literature Reviewmentioning

confidence: 99%

Indifference Computer Experiment for Mathematical Identification of Two Variables

2022

Wireless Communications and Mobile Computing

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In order to understand the two types of nonlinear differential equation problems in engineering dynamics, the author proposes a numerical analysis method for the two types of nonlinear differential equations based on computer simulation. This method establishes the MATLAB algorithm structure of the numerical solution of the fourth-order fixed-step Runge-Kutta and Lorenz models, discusses the error control in the case of variable step size, and plots the numerical solutions of the Lorenz system based on MATLAB in two-dimensional and three-dimensional space graphics. The x -direction displacement and y -direction displacement data are extracted from the Lorenz equation as iterative samples of the model, the regression curve obtained after iteration has a slope of 0.996, and the iterative regression model reflects the basic characteristics of the data well. This method presents the basic idea of numerical solution verification within acceptable error limits. For solving engineering problems with differential equations as mathematical models, an effective numerical solution method is provided, and further discussion on the numerical solutions of partial differential equations is of great significance.

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Section: Literature Reviewmentioning

confidence: 99%

Indifference Computer Experiment for Mathematical Identification of Two Variables

2022

Wireless Communications and Mobile Computing

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“…The equations for the short-circuit and maximum-power currents show that they are proportional to irradiance and temperature [32][33][34][35][36]. Furthermore, the advantages of these equations are dependent on the temperature coefficient, which carries dimensions such as amps/ • C or volts/ • C. This means that these coefficients change whenever the manufacturer restructures the series-parallel arrangement or the number of cells in the PV module [37].…”

Section: Characteristic Point Translation Techniquementioning

confidence: 99%

Indoor PV Modeling Based on the One-Diode Model

Teh,

Drieberg,

Hasan

et al. 2024

Applied Sciences

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The use of photovoltaic (PV) panels in interior spaces is expected to increase due to the proliferation of low-power sensor devices in the IoT domain. PV models are critical for estimating the I–V curves that define their performance at various light intensities. These models and the extraction of their parameters have been extensively studied under outdoor conditions, but their indoor illumination performance is less studied. With respect to the latter, several studies have used the parameter-scaling technique. However, the model’s accuracy degrades when the light level decreases. In this study, we propose a simple PV modeling technique that can be applied at various illuminance levels by only using characteristic points (short-circuit current, open-circuit voltage, and maximum-power voltage points) at a reference illumination level. The model uses the characteristic point translation technique to translate the reference characteristic points to other operating conditions. Then, parameter extraction technique is used to extract the model’s parameters. The proposed model’s accuracy is verified using two commercial PV panels and different indoor lighting technologies. The results indicate that the proposed model outperforms the other examined works in terms of accuracy, with an average improvement of 15.75%.

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“…Laser ablation process is based on many applications like modification surface of materials, nanoparticles formation, and deposition of thin film, chemical analysis, and micromachining. Laser ablation process relies on ablated material properties (optical and thermal) as well as laser parameters 9,[15][16][17][18][19][20][21] .…”

Section: Introductionmentioning

confidence: 99%

Synthesis AgO Nanoparticles by Nd:Yag Laser with Different Pulse Energies

et al. 2023

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One technique used to prepare nanoparticles material is Pulsed Laser Ablation in Liquid (PLAL), Silver Oxide nanoparticles (AgO) were prepared by using this technique, where silver target was submerged in ultra-pure water (UPW) at room temperature after that Nd:Yag laser which characteristics by 1064 nm wavelength, Q-switched, and 6ns pulse duration was used to irradiated silver target. This preparation method was used to study the effects of laser irradiation on Nanoparticles synthesized by used varying laser pulse energy 1000 mJ, 500 mJ, and 100 mJ, with 500 pulses each time on the particle size. Nanoparticles are characterized using XRD, SEM, AFM, and UV-Visible spectroscopy. All the structural peaks determined by the XRD test can be indexed as face-centered cubic (FCC) type, the stronger crystalline orientation is located in the (111) plane. The nanoscale particles have an almost spherical shape as inferred from the SEM images. In (1000) mJ laser pulse energy the best smallest particle size was produced. According to AFM results of all films, the particle size 32.45nm, 64.3nm, and 67.86nm respectively for 1000 mJ, 500 mJ, and 100 mJ , the surface roughness affected and increased as increase the laser energy because the increase particle size and aggregation of partials. UV-Visible spectroscopy measured the absorbance of the silver nanoparticle prepared which is increased as increase pulsed laser ablation energy at wavelength 440 nm.

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Identification the internal parameters for mono-crystalline solar module using Matlab-simulation and experimental ascertainment

Cited by 4 publications

References 17 publications

Indifference Computer Experiment for Mathematical Identification of Two Variables

Indifference Computer Experiment for Mathematical Identification of Two Variables

Indoor PV Modeling Based on the One-Diode Model

Synthesis AgO Nanoparticles by Nd:Yag Laser with Different Pulse Energies

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