Sustainable Development of Electrical Systems and Renewable Energy Resources Management for Coastal City using AI Technology | ||||
International Journal of Engineering & Artificial Intelligence Art Design | ||||
Volume 1, Issue 1, August 2025, Page 64-78 PDF (987.44 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/ijeaid.2025.402797.1003 | ||||
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Authors | ||||
Mohamed F. Abdelkarim ![]() ![]() | ||||
1Electrical Power,The Higher Institute of Engineering and Technology Fifth Settlement, Cairo, Egypt | ||||
2Electrical power,The Higher Institute of Engineering and Technology Fifth Settlement, CAiro, Egypt | ||||
Abstract | ||||
This article explores a new approach to building electrical infrastructure for coastal cities, making them clean energy producers rather than consumers. Using Ain Sokhna, Egypt, as a model, the proposed system combines solar panels, wind turbines, battery storage, and a connection to the main electricity grid to create a flexible, eco-friendly energy setup. The goal is to help coastal cities utilize their natural resources, sun, and wind to generate electricity, especially during high-demand seasons driven by tourism. The system is designed to adapt to seasonal changes in energy use. During sunny or windy days, it generates power, storing any extra in batteries or sending it back to the grid. On days when less energy is produced, it can pull from stored power or draw from the grid. This creates a balanced, efficient flow of electricity that supports the city’s needs without relying entirely on traditional power sources. Early simulations show the system is both technically and financially viable. It could reduce energy costs and offer long-term savings with minimal maintenance. Looking ahead, artificial intelligence technology will be added to help the system make smarter real-time decisions based on weather, energy use, and grid demand. A user-friendly dashboard is also planned, allowing remote monitoring through a web or mobile app. Overall, this model shows that coastal cities like Ain Sokhna can not only meet their own electricity needs but also contribute energy back to the grid, transforming them into valuable energy assets. | ||||
Keywords | ||||
1st PV; 2nd VSC; 3rd Simulink MATLAB; 4th Fuzzy logic; 5th MPPT | ||||
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