This study evaluates the economic viability of lining irrigation canals in Upper Egypt, focusing on the El-Sont Canal network as a case study. Using a benefit-cost analysis (BCA), the research assesses the financial feasibility of canal lining by comparing the costs of implementation with the anticipated benefits, including water savings, reduced maintenance, and increased agricultural productivity. The estimated cost of lining the El-Sont Canal network is approximately $34.193 million, with annual benefits ranging from $5.451 million to $7.515 million. The benefit-cost ratio (BCR) exceeds 1.0, ranging from 1.99 to 4.02, indicating strong economic viability. Additionally, the cost recovery period is estimated at 4.5–6.3 years, making the project a sustainable investment. Compared to alternative water resource solutions such as desalination and wastewater reuse, canal lining proves to be the most cost-effective and permanent solution for water conservation in the region. While canal lining is cost-effective, potential trade-offs include impacts on groundwater recharge and the equitable distribution of water savings among different farming communities. The findings underscore the importance of canal lining as a strategic intervention for sustainable water management in Upper Egypt, aligning with national agricultural development goals and addressing water scarcity challenges under changing climatic conditions
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This paper presents a detailed comparative analysis of conventional and AI-driven Maximum Power Point Tracking (MPPT) techniques utilized in photovoltaic (PV) systems. The study evaluates Fuzzy Logic Control (FLC) methods, the incremental conductance (INC) method, Perturb and Observe (P&O) methods with both fixed and variable step sizes, and the Simplified Model-Based State Estimation (SMSE-based) method. All simulations were rigorously conducted in the MATLAB/SIMULINK for ensuring consistent application of each technique, enabling a comprehensive comparison of their performance across various solar irradiance conditions. Results show that despite initial high oscillations, the SMSE-based method efficiently reaches the Maximum Power Point (MPP) with efficiency values of up to 99.9%. Fuzzy Logic Control Set-2 demonstrates exceptional performance with minimal oscillations and high …

This paper presents the use of a static synchronous compensators (STATCOM) device to improve the low voltage ride through (LVRT) ability of an electrical network consisting of wind farms that produce 9 MW and 1 MW PV stations during grid faults. A hybrid energy model is connected with 100 MVAR STATCOM at the point of common coupling (PCC) through line to line fault occurs on the grid. STATCOM control is used to detect the voltage at the PCC bus through occurring line to line (LL) faults by compensating reactive energy. A method of particle swarm optimization (PSO) is utilized for adjusting the optimum value of proportional—integral—derivative (PID) STATCOM control. STATCOM is controlled by (PID) and is compared with STATCOM controlled by fuzzy logic control (FLC). The proposed system has been performed utilizing Matlab/Simulink. Results of the simulation clear effectiveness and the ability of …

This paper introduces the enhancement of Visible Light Communications (VLC) for V2V using artificial intelligence models. Different V2V scenarios are simulated. The first scenario considers a specific longitudinal separation and a variable lateral shift between vehicles. The second scenario assumes random longitudinal separation and a specific lateral shift between vehicles. Significant obstacles that impair performance and dependability in V2V communication systems include bit errors, high power consumption, and interference. By combining Convolutional Neural Networks (CNNs), Generative Adversarial Network (GAN), Gated Recurrent Unit (GRU), and Deep Denoising Autoencoder (DDAE), this paper suggests a deep learning-based system to address these issues. The framework comprises four modules, a power reduction module that uses a GAN to generate low-power signals while maintaining signal …

rc welding power supplies play a critical role in the welding process by providing the necessary electrical power, control, and stability required to produce high-quality welds efficiently and safely. Investing in a high-quality welding power supply is essential for achieving optimal welding results and maximizing productivity in various welding applications. By incorporating these control techniques into arc welding power circuits, manufacturers can deliver versatile, efficient, and user-friendly power supplies that meet the diverse needs of welders across different industries and applications. These control techniques play a crucial role in achieving consistent weld quality, optimizing productivity, and ensuring operator safety in the welding process. A detailed overview of power circuit topologies and control techniques specifically tailored for welding power supply application was provided. It delves into the intricate design …