Journal Articles

Permanent URI for this collectionhttps://dspace.univ-soukahras.dz/handle/123456789/229

Browse

Now showing 1 - 20 of 36

A finite element model for estimating time-dependent reliability of a corroded pipeline elbow
(Emerald, 2021-04-13) Nahal Mourad; Khelif Rabia
A quadrotor controlled in real-time using hand gestures and ROS2 multi-node communication within GAZEBO 3D environment
(2023-05-05) Hamza Djizi, Abdelaziz LAKEHAL and Zoubir ZAHZOUH
An adaptive fuzzy logic controller (AFLC) for PEMFC fuel cell
(www.elsevier.com/locate/he, 2015) Nedjem-Eddine Benchouia; Abdallah Derghal; Bouziane Mahmah; Belgacem Madi; Lakhdar Khochemane; Elias Hadjadj Aoul
Among the various fuel cell technologies available for use in vehicular systems, the Proton Exchange Membrane Fuel Cell (PEMFC) has drawn the most attention due to its simplicity, viability, higher power density, and operation at lower temperatures. Due to these features, PEMFC is considered to be the most suitable technology for vehicular systems, industry, and other applications. As fuel cells are likely to be used in many future applications, great efforts have recently been made for their comprehension and design. This paper focuses on a 1.2WPEM fuel cell unit and develops the models of stack voltage and stack power. While the PEM fuel cell is a nonlinear process, it is very suitable to use fuzzy control to solve the control issue of the fuel cell. The stack output power can be controlled to a given value by using a variable universe fuzzy controller by controlling the input gas flow rate. In this paper, an FLC controller has been designed to control the voltage in the presence of fluctuations. The results of the implementation of this designed FLC controller on a dynamic electrochemical model of a small size 1.2 W, PEM fuel cell have been simulated by MATLAB Simulink and compared with a traditional PID controller. Simulation results show that good control effects can be achieved by using the adaptive fuzzy control system.
An Overview of Photovoltaic Power Plant (PV) Connection to HVDC Grid
(2022-11-29) Mohammed Saaidia ; Abdelghani Guechi; Nedjem-Eddine Benchouia
An Overview Of Photovoltaic Power Plant (PV) Connection To HVDC Grid
(IEEE, 2023) Nedjem Eddine Benchouia; Abdelghani GUECHI; Mohammed SAAIDIA
Solar energy is considered one of the most important alternative and renewable energies for the production of electricity so solar power plants work to produce direct current, which is then converted into alternating current through DC-AC converters and linked to power transmission networks of alternating current. But since most of the large solar PV plants are built in areas far from the load, the world is moving today to transfer power directly from solar panels to high voltage HVDC grid, due to the advantages that HVDC provides such as lower transmission loss, low cost and higher efficiency compared to HVAC. In this paper, we present an overview of recent studies dealing with Photovoltaic Power Plant Connections to HVDC Grid and the comparison between these systems.
Analysis and Characterization of PEMFC Power Systems with Bond Graph
(2013-11) Nedjem Eddine Benchouia; Elias Hadjadj Aoual; Lakhdar Khochemane; Bouziane.Mahmah
This paper addresses the problem of bond graph methodology as a graphical approach for modeling fuel cell systems. The system consists of a Proton Exchange Membrane Fuel Cell (PEMFC) stack and an interleaved boost converter. Simulation results illustrate the simplified system response obtained using the implementation of the governing equations in MATLAB/Simulink or a bond graph
Analysis and Diagnosis of Control and Protection System of Gas Turbine Using the Fault Tree and Bayesian Network
(2023-05-26) Toufik TOUIL , Abdelaziz LAKEHAL
Bearing Multi-Faults Diagnosis Based on Stator Current Bi-spectrum Features and Support Vector Machines
(2023-05-26) Lotfi Saidi, Chakib Ben Njima, Abdelaziz Lakehal
Bond graph modeling approach development for fuel cell PEMFC systems
(www.elsevier.com/locate/he, 2014-09-14) Nedjem Eddine Benchouia; Elias Hadjadj Aoul; Lakhdar Khochemane; Bouziane Mahmah
This paper addresses the problem of bond graph methodology as a graphical approach for modeling fuel cell systems. The system consists of a Proton Exchange Membrane Fuel Cell (PEMFC) stack, an interleaved boost converter, battery pack connected via a buck converter. Simulation results illustrate the simplified system response obtained using implementation of the governing equations in MATLAB/Simulink and is compared with a bond graph implementation in the simulation program 20-sim.
CONVEYOR BELT FAULTS DIAGNOSIS USING BAYESIAN NETWORK
(2022-12-21) Karim NESSAIB and Abdelaziz LAKEHAL
Determination of the predictive Reliability for PEMFC system
(IPCO, 2015) Nedjem Eddine Benchouia; Lakhdar Khochemane; Belgacem Madi
Today reliability is one of the serious requirements of fuel cell systems, and their associated cost in all applications, in general, and automotive applications, in particular when the power requirement is scaled up, is still unclear. Therefore, increasing cell lifetimes and membrane electrode assembly (MEA) durability is the technical advance that may be expected so that we can have a remarkable tendency of decreasing fuel cell costs with a significant increase in global systems safety, that best meet customer requirements. Our contribution, in this paper, focuses on the simulation method of the “Monte Carlo” over the entire reliability calculation for the PEMFC system, with the integration of the most critical elements of them and the proposition of the contrivances for their modifications, in the objective to predict the lifetime and failure rate of a system by reliability calculations: a problem formulation is given, reliability calculations of PEMFC are defined and a reliability estimation methodology is developed. We did obtain, however, some results that can help us in the prediction reliability way at the design
DEVELOPMENT AND APPLICATION OF A DECISION MAKING TOOL FOR FAULT DIAGNOSIS OF TURBOCOMPRESSOR BASED ON BAYESIAN NETWORK AND FAULT TREE
(Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management, 2019-06-28) Lakehal Abdelaziz; Nahal Mourad; Harouz Riadh
DRY SLIDING FRICTION AND WEAR OF THE WC/TIC-CO IN CONTACT WITH AL2O3 FOR TWO SLIDING SPEEDS
(2020-12-11) Riad HAROUZ, Abdelaziz LAKEHAL, Khaled KHELIL, Olivier Dedry, Neda Hashemi and Said Boudebane
Electricity production by renewable energies and its storage methods: a review
(2023-04-04) Bilal Soltani, Nedjem-Eddine Benchouia and Abdelghani Guechi
Electricity transportation using HVDC technology for Algerian southern sun power plants
(2023-08-01) Nedjem Eddine Benchouia; Mohammed SAAIDIA; Abdelghani GUECHI
Algeria is worldly known as one of the big producers and exporters of fossil fuels. However, by developing an adequate energy policy, it could become one of the great sun power (SP) producers and exporters. Indeed with almost 2 million Km2 sunny superficies, the country detains enormous SP energetic potential funds. However, eventual powerful SP plants deployment could be done far to the southern Algerian desert which makes HVDC technology the best candidate for the transmission of produced electricity towards the north region where are the main industrial poles and the most populated regions for local consumption and eventually farther to the north for electricity exportation to the European countries. Theprospection work presented hereafter is a study on the feasibility of using HVDC technology for such possible projects according to country’s existingmeans and topographical and environmental characteristics.
Experimental study of the static behaviour of the PEM fuel cell
(IPCO, 2017) Nedjem Eddine Benchouia; Bouziane Mahmah
This work proposes and justifies an easy electric model of a power generation system based on a PEM fuel cell, the H-Tec PEM Power Module of 1.2W. This model has been developed by means of experimental data obtained in our laboratory.
Fuel Cells and Hydrogen Storage: Challenges Facing Vehicle Manufacturers
(IPCO, 2017)
The main challenge of our time is to find renewable energy sources that meet the needs of society. Nevertheless, energy must meet several criteria such as abundance, ease, and speed of use, but also the cost of production which must be low. In addition, the aspect of "clean and renewable energy" is also to be taken seriously. Today, fuel cells are a magnet for researchers because they have many advantages. First of all, these batteries have the capacity to produce a significant amount of electricity, water, and heat. In addition, the reagents of the battery are the oxygen naturally present in the atmosphere and the di-hydrogen that needs to be produced. Its production is therefore a major stake for the installation of the fuel cell. Many hopes rest on the fuel cell. As we have seen, it is one of the energy sources that have the most to become and application area. With a relatively high efficiency, and zero pollutant emissions, this fuel cell has many other advantages such as the variety of batteries that can be adapted to all current needs such as transportation, global electricity generation, or digital. Because of the benefits that flow from its use as an automobile fuel, hydrogen is expected to take precedence over other synthetic fuels in the not-too-distant future.
HVDC electricity transportation technology: feasibility study (Algeria)
(2020) Nedjem Eddine Benchouia; Mohammed Saaidia; Lekhmissi Derardjia
HVDC technology is gradually becoming a standard in electrical energy transportation. Even more, in some situations, it’s the best practical solution. The research work presented hereafter is dedicated to the exploration of the basic notions, the induced gains, the basic components, the basic and extended structures, the applications, and the real implemented projects of such technology. An overview of the research works concerned with the challenges of this expandable technology and an economic study of the deployment of real electrical transportation lines and their feasibility in Algeria are presented.
Improvement of Transformer Fault Diagnosis using Fuzzy Rule and Decision Tree Based on Dissolved Gas Analysis
(2023-09-05) Abdelmoumene Hechifa, Abdelaziz LAKEHAL, Lotfi Saidi, Arnaud Nanfak, Ridha Kelaiaia and Mohammed El AmineSenoussaoui
MODELING THE DEGRADATION OF VISCOSITY OF ENGINE OILS
(ICIC Express Letters, 2020-01) Nedjem Eddine Benchouia; Lamia Benzaid; Azzeddine Bouzaouit
In this paper, we present an analytical study to describe the monitoring and change in the condition of viscosity of lubricating oil used in combustion engines and exploited under very severe conditions. The objective is to determine the remaining lifetime of this oil. Stochastic methods in general are statistical methods that can be employed in predictive analysis, and they highly depend on probability theory. Markov models, in particular, make it possible to predict the degradation of the oil viscosity after a determined operating time. In these, degradation can be described by transition probabilities from one state to another. Knowing that Markov models are used to describe the transition probability to a new state (i) at time (t) based directly on the probability of the previous state (j) at time (t–1). In this context, we propose a Markov model to study the degradation law for the SAE 40 oil. The latter is designed for the lubrication of locomotives engines under the working conditions of a steel plant in Algeria. We have demonstrated that the proposed model gives detailed results describing the different conditions/states of the analyzed oil.