44 research outputs found

    Study of Polarized Wave with a Hydrodynamic Model and Fourier Spectral Method

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    The polarization effects in hydrodynamics are studied. Hydrodynamic equation for the nonlinear wave is used along with the polarized nonlinear waves and seismic waves act as initial waves. The model is then solved by Fourier spectral and Runge-Kutta 4 methods, and the surface plot is drawn. The output demonstrates the inundation behaviors. Consequently, the polarized seismic waves along with the polarized nonlinear waves tend to generate dissimilar inundation which is more disastrous

    MHD accelerated flow of maxwell fluid in a porous medium and rotating frame

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    The magnetohydrodynamic (MHD) and rotating flow of Maxwell fluid induced by an accelerated plate is investigated. The Maxwell fluid saturates the porous medium. Both constant and variable accelerated cases are considered. Exact solution in each case is derived by using Fourier sine transform. Many interesting available results in the relevant literature are obtained as the special cases of the present analysis. The graphical results are presented and discussed

    Developing a Simple Algorithm for Photovoltaic Array Fault Detection Using MATLAB/Simulink Simulation

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    Received: 22 September 2023. Revised: 7 November 2023. Accepted: 1 December 2023. Available online: 29 December 2023.With the escalating demand for energy and the concomitant depletion of fossil fuel reserves, solar energy has emerged as a sustainable alternative, offering both energy conservation and power-saving benefits. The optimization of photovoltaic (PV) system performance through vigilant monitoring is essential for maximizing energy production. This study aims to devise a novel algorithm that derives from photocurrent measurements at the string level, alongside the aggregate current output of the PV array. Simulations of a PV string/array were executed using MATLAB/Simulink to discern the effects of solar irradiance and temperature fluctuations on current parameters. A representative model comprising two commercial PV modules arranged in series was employed to construct a four-string PV array for analysis. Findings indicate that photocurrent and overall current output are significantly influenced by solar irradiance, whereas increases in saturation and reverse saturation currents with temperature correspond to diminished current output. A rudimentary fault detection algorithm emerged from the simulation data, facilitating the identification of faults by juxtaposing the current from a PV string against a benchmark PV cell. Prompt detection and amelioration of faults—particularly those within groups two and three, which are characterized by 10 – 40% and greater than 40% reductions in current, respectively, and commonly associated with shading, soiling, and hotspots—are imperative for averting substantial energy yield losses and prolonging system longevity. It is crucial to acknowledge that daily variations in weather conditions may affect the algorithm's efficacy, underscoring the need for ongoing refinement.This work is supported by the Yayasan Universiti Teknologi PETRONAS (YUTP) (015LC0-294)

    Heat generation effects on maxwell nanofluid passing over an oscillating vertical plate

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    This article investigates the flow of Maxwell nanofluid over an oscillating plate with copper nanoparticles and kerosene oil as a base fluid. Novel aspects of heat generation, free convection and thermophysical properties of nanofluids are given special attention in this research. Revised model for passive control of nanoparticle volume fraction at the plate is used in this study. The formulated differential system is solved analytically using Laplace transform technique. The solutions acquired for momentum, temperature and shear stress are greatly influenced with the variation of the volume fraction and Maxwell parameter. The computational software MathCAD-15 has been used for plotting the graphs

    Evaluation of Distribution Network Modelling for Electric Vehicle Charging Impact

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    Electric vehicle (EV) is a new and uprising technology in the transportation and power sector that benefits the economy and environment. This study presents a comprehensive review of electric vehicle technology and its associated equipment, such as battery charger and charging station. An introduction is made on the residential charging type of electric vehicles in terms of charging time, size of battery and power of charger. The influence of electric vehicle charging on utility distribution system in terms of voltage and thermal limits are investigated in this paper. The current power system may not able to support the EV charging loads. The usage of electric vehicles, customer power consumption behavior and the distribution of electric vehicle used in a residential area may affect its power system structure. To study the influence of EV charging in a power distribution system, analysis were conducted based on these three factors. Firstly, the new network will be simulated using all the standard parameter for residential. Secondly, the EV load will be inserted into the network based on different scenarios of EV’s penetration level and the investigation will be carried out to study the impact of EV on the distribution network in terms of voltage and thermal limits. It is found that the higher penetration level of EV charging will lead to the higher voltage drop and feeders’ thermal limit

    Generalized cattaneo’s law over a vertical cylinder on casson fluids

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    The analysis of unsteady axial symmetric flows of an incompressible and electrically conducting Casson fluid over a vertical cylinder with time-variable temperature, under influence of an external transversely magnetic field has been carried out. The mathematical model is build based on the time-fractional differential equation of Cattaneo’s law with Caputo derivative to describe thermal transport. Based on the model, we can obtain the effect of temperature gradient history on heat transport and fluid motion. Besides, the generalized mathematical model that we build can be used to achieve the Classical Cattaneo’s law. Comparison between the generalized Cattaneo and the classical Cattaneo was examined to optimize the heat transport model

    Unsteady MHD casson fluid through a porous medium over an inclined plate in the present of chemical reaction

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    The unsteady of MHD Casson fluid flow through an infinite inclined plate in the presence of chemical reaction is investigated. In this research, Casson fluid model is choose to be used in this study to characterize the non-Newtonian fluid behaviour. We are employed the Laplace transform technique with an appropriate boundary condition to convert the governing partial differential equations into ordinary differential equations. All the transformed equations are then solved numerically by using Mathematica. Finally, we were obtained the exact solution of momentum, energy and concentration of the cases. The results of flow features for different values of the governing parameters, unsteadiness parameter, Casson parameter are analysed in graphs and has been discussed in the result section. The results presented that fluid velocity rises with the increment of magnetic parameter due to the present of Lorentz force. Lorentz force helps in reducing heat for electronic system and radiators. Furthermore, the increasing of inclination angle and chemical reaction make the velocity increases. The result for Casson fluid explained that this fluid helps to lower the resistance of the yield stress so that the velocity become higher

    Unsteady MHD Casson Fluid Flow through Infinite Inclined Plate in the Presences of Hall Current and Chemical Reaction

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    The objective of this paper is to study about the unsteady Casson fluid in the present of hall current and chemical reaction electrically conducting heat fluid near an infinite inclined plate. Casson fluid model is choose to be in this research to characterize the non-Newtonian fluid behaviour. The exact solutions of momentum, energy and concentration equations, under Boussinesq approximation were obtained by Laplace transform technique to transform governing partial diffrential equations into ordinary differential equations with an appropriate boundary condition. All the transformed equations are then solved numerically by using Mathematica. Finally, the exact solution of momentum, energy and concentration of the cases are gained. The results of flow features for different values of governing parameters, unsteadiness parameter and Casson parameter are evaluated in graphs and has been discussed in the results section. The result presented that the velocity is increase when the magnetic parameter increases due to the existence of Lorentz force that helps in reducing heat for electronic system and radiators. Furthermore, the Hall current that we added into this study makes the velocity increase when Hall current increase. These phenomena happened because of the rising of Hall current makes the conductivity become decrease which led the decreasing in magnetic damping, results the increase in velocity

    Numerical solutions of linear Fredholm Integral Equations using half-sweep arithmetic mean method

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    In this paper, performance of the 2-Point Half-Sweep Explicit Group (2-HSEG) iterative method with first order composite closed Newton-Cotes quadrature scheme for solving second kind linear Fredholm integral equations is investigated. The formulation and implementation of the method are described. Furthermore, numerical results of test problems are also presented to verify the performance of the method compared to 2-Point Full-Sweep Explicit Group (2-FSEG) method. From the numerical results obtained, it is noticeable that the 2-HSEG method is superior to 2-FSEG method, especially in terms of computational time

    Application of fractional derivative without singular and local kernel to enhanced heat transfer in CNTs nanofluid over an inclined plate

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    Nanofluids are a novel class of heat transfer fluid that plays a vital role in industries. In mathematical investigations, these fluids are modeled in terms of traditional integer-order partial differential equations (PDEs). It is recognized that traditional PDEs cannot decode the complex behavior of physical flow parameters and memory effects. Therefore, this article intends to study the mixed convection heat transfer in nanofluid over an inclined vertical plate via fractional derivatives approach. The problem in hand is modeled in connection with Atangana-Baleanu fractional derivatives without singular and local kernel with a strong memory. Human blood is considered as base fluid and carbon nanotube (CNTs) (single-wall carbon nanotubes (SWCNTs) and multi-wall carbon nanotubes (MWCNTs) are dispersed into it to form blood-CNTs nanofluid. The nanofluid is considered to flow in a saturated porous medium under the influence of an applied magnetic field. The exact analytical expressions for velocity and temperature profiles are acquired using the Laplace transform technique and plotted in various graphs. The empirical results indicate that the memory effect decreases with increasing fractional parameters in the case of both temperature and velocity profiles. Moreover, the temperature profile is higher for blood SWCNTs because of higher thermal conductivity whereas this trend is found opposite in the case of velocity profile due to densities difference
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