IJE_Vol 09 N 01
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Item Prediction of the Insulating Paper State of Power TransformersUsing Artificial Neural Network(University of Eloued جامعة الوادي, 2024-06-18) Albalawi , Fahad.Power transformers are considered the heart of power systems. The malfunction or undesirable outage of the power transformer will cause a tremendous revenue loss for the utilities. Therefore, a regular or preventive test must be accomplished on the transformer to check its state. Some standards, such as the American Transformer Diagnosis Guide and the American Society for Testing and Materials, have instructions for testing the transformers. The current works addressed which tests can be accomplished to predict the insulating paper state, which is the indicator of transformer aging. Furthermore, ANN model will be constructed to use it as a prediction tool of the paper state when the water content (WC), acidity (ACI), interfacial tension (IFT), oil color (OC), and 2-furfuraldehyde (2-FAL) were known. The ANN results indicated that the ANN's prediction accuracy was 93.87%.Item Abdelkader Bellila. Evaluating the Impact of Absorber Geometry on Solar Still Efficiency: A Comparative Study of Square and Round Absorbers(University of Eloued جامعة الوادي, 2024-05-08) Ayoub Barkat- Zakaria Rahal-Karim Medjdoub- Aazar M.A. Daoud- Tamás Mester-Hamza ChekimaSolar stills have been used for many years in areas with limited access to fresh water, such as desert regions or remote locations. They are simple to construct using readily available materials and require no energy input other than sunlight. Additionally, solar stills are lowmaintenance and can produce a significant amount of pure water with relatively little effort. Two solar stills are exposed to the sun, the first is a single solar still and the other is a hemispherical sender. Both stills have similar absorber. The purpose of this experiment is to compare the pure water output of the two devices. The finding shows that hemispherical solar still is more efficient than the simple solar still by 54.30 % in terms of pure water output. This suggests that the hemispherical still is better at capturing and utilizing solar energy to evaporate and condense water.Item Electrical Characteristics Analysis of High-Efficiency SnS Solar Cells(University of Eloued جامعة الوادي, 2024-04-13) Sadoun,Ali . Allag, NassibaThe simulation of SnS homojunction solar cells involved systematically adjusting key parameters, such as doping concentration and layer thickness, to optimize their photovoltaic performance. The study identified that optimal efficiency is achieved with a carrier concentration of 5.5 × 1015 cm⁻ ³ in the front n-type region, a 500 nm thick n-layer, and a 500 nm thick p+ layer with a carrier concentration of 3 × 10¹⁶ cm⁻ ³. Under these conditions, the solar cell demonstrated excellent electrical characteristics, including an open-circuit voltage (Voc) of 0.90 V, a short-circuit current density (Jsc) of 34.20 mA/cm², a fill factor (FF) of 0.829, and an efficiency (η) of 25.71%. These results underscore the importance of precise control over material properties and structural dimensions in achieving high-efficiency SnS-based solar cells, positioning SnS as a promising material for future photovoltaic applicationsItem Effect of preparation rotation speed on structural properties ofCH3NH3PB1-xSnxCl3 using spin coating methods(University of Eloued جامعة الوادي, 2024-05-21) Kemerchou , Imad . Hima, AbdelkaderPerovskite-based hybrid organic-inorganic solar cells that use the methylammonium lead tri-iodide (CH3NH3PbI3) have demonstrated ever-increasing energy conversion efficiency and low processing costs, comparable to that of high-efficiency silicon-based solar cells. However, it is suffuring from instability caused by material degradation. Recently, enhancing stability and hence decreasing the degradation process of CH3NH3PbI3based solar cells is one of the main topics of research in photovoltaic field. The poor stability of these cells prevents their commercialization despite their huge potential that exceeds conventional solar cells. The energy efficiency and economic viability of Perovskite cells depend primarily on the rate of degradation caused by light, temperature, moisture, and oxygen. This paper presents a review of different degradation sources of CH3NH3PbI3-based Perovskite solar cells (PSCs). In this work, a deposition of a CH3NH3PB1- xSnxCl3 Perovskite layer using spin coating method has been investigated. Therefore, different rotation speed have been used in layer spin coating phase to find out their effects on structural parameters characteristics of the resulting CH3NH3PB1-xSnxCl3 organic/inorganic Perovskite material.Item Dust Accumulation Effects on the Performance of Photovoltaic Panels:An Experimental Study in the Algerian Region of El-Oued(University of Eloued جامعة الوادي, 2024-06-05) Largot ,Soulef. Bessous , Noureddine. Ghodbane, Mokhtar. Boumeddane , Boussad . Raya, Khadija Lahrech A. K. AswadThis paper examines the dust accumulation impact on the performance of photovoltaic panels in the Algerian region of El-Oued, where two similar photovoltaic panels were analyzed: a clean reference photovoltaic panel (PVr) and a dirty targeted photovoltaic panel (PVt) with 14.5 g/m² of dust. The data was collected on May 4th and 13th, 2022, through experimental works and numerical validation. The results show that dust significantly reduces the PV performance. On May 4th, 2022, the PVr produced 330.89 Wh, compared to 216.72 Wh for the PVt, with a difference of 34.65%. On May 13th, 2022, PVr generated 414.01 Wh, while PVt produced 271.16 Wh, with a difference of 34.67%. In terms of PV power generation, PVr reached maximum values of 52.82 W and 66.28 W on May 4th and 13th, respectively, compared to 34.5 W and 43.29 W for PVt. The PVr performance varied between 5.85% and 6.56%, while that of PVt was limited to 3.82% and 4.29%. These results highlight the importance of keeping photovoltaic panels clean to ensure optimal energy production, especially in desert environments like El-Oued,. Moreover, the study confirms that regular panel maintenance is essential to minimize power reduction due to dust and guarantee maximum panel efficiencyItem Antonio Marcos de Oliveira Siqueira. Julio Cesar Costa Campos. Messoudi, Mohammed Meftah . Rafael Azevedo Santos.Design, Implementation, and Analysis of a Local Pelton Turbine.(University of Eloued جامعة الوادي, 2024-04-15) Khechekhouche , AbderrahmaneThis study investigates the performance characteristics of a locally designed Pelton turbine, focusing on the relationship between rotational speed, torque, and mechanical power output. Understanding these dynamics is crucial for optimizing turbine efficiency in various applications. Our experiments revealed that as the turbine’s rotational speed increased to 844 RPM, the torque decreased from 0.090 to 0.079 N·m, indicating a reduction in the efficiency of energy transfer from the water jets to the turbine buckets from 39% to 33%. This decline highlights the importance of maintaining an optimal speed range to maximize energy conversion. Furthermore, while power output initially increases with speed, operating the turbine beyond its optimal range can lead to diminishing returns due to mechanical and efficiency losses. These findings provide valuable insights for improving the design and operational strategies of Pelton turbines, ensuring enhanced performance and reliabilityItem Design and Economic Evaluation of a Photovoltaic Water Pumping System for Tomato Irrigation in El Oued(University of Eloued جامعة الوادي, 2024-05-18) Rehouma , Youssef . Yasmine , Amara.Danoune , Mohamed Bilal . Gougui Abdelmoumen. Naoui,MohamedThis paper explores the design, economic assessment, and operation of a photovoltaic water pumping system for irrigating tomatoes in Terifaoui, El Oued, Algeria. Terifaoui's desert climate and lack of grid access make it a suitable candidate for a solar-powered irrigation system. The system design, simulated using PVsyst software, considers El Oued's climate to ensure reliable operation. This study examines the technology, economics, and operational aspects of the system, highlighting its potential to boost agricultural output and regional economic resilienceItem Application of Grey Wolf Optimization Algorithm for Maximum Power Point Tracking of Solar Panels(University of Eloued جامعة الوادي, 2024-04-08) Khelaifa , Fethi .Lamamra, Kheireddine . Toumi , DjaafarOne of the applications of evolutionary algorithms is increasing the efficiency of photovoltaic (PV) systems. The main problem with using standard algorithms like the Incremental Conductance (IC) controller for maximum power point tracking (MPPT) under partial shading conditions (PSC) is that they do not provide reliable tracking of the global peak of the volt-watt characteristic, leading to increased losses and reduced power plant performance. Furthermore, there is currently no methodology for selecting the optimal sampling time of soft computing algorithm-based maximum power trackers for PV systems. The aim of this paper is to apply the Grey Wolf technique with optimally selected sampling time, which will result in fast and reliable tracking of the global maximum point of the PV panels. The results show that the selected optimal sampling time for the digital MPP controllers can increase the performance and efficiency of MPPT controllers. A DC-DC boost converter is used to match the PV panels with the resistive load. Several simulations were performed using MATLAB/Simulink to examine the performance of the proposed system. The results demonstrate that the proposed Grey Wolf algorithm can quickly capture the GMPP within 0.2 seconds under different shading conditions of the PV panels.