Privileging and Prioritizing Processes of Sustainable Energy Resources for Residential Loads to Energize Green Cities

Alhafidh, Basman Mahmood Hasan; Hagem, Rabee; Qassab, Mustafa Siham; Mahmood, Mohammed Basil

doi:10.33899/arej.2025.158074.1392

	Privileging and Prioritizing Processes of Sustainable Energy Resources for Residential Loads to Energize Green Cities
Al-Rafidain Engineering Journal (AREJ)
Volume 30, Issue 2, September 2025, Pages 61-75 PDF (1009.49 K)
Document Type: Research Paper
DOI: 10.33899/arej.2025.158074.1392
Authors
Basman Mahmood Hasan Alhafidh^* ¹; Rabee Hagem¹; Mustafa Siham Qassab^* ¹; mohammed Basil Mahmood^* ²
¹Computer Engineering Department, College of Engineering, University of Mosul, Mosul, Iraq
²Cyber Security and Cloud Computing Techniques Engineering Department, Technical Engineering College for Computer and AI, Northern Technical University, Mosul, Iraq
Abstract
The protection and management of residential solar panel energy systems in smart cities that depend on the Internet of Things (IoT) are vital. Controlling residential energy consumption manually is hard. In addition, significant challenges should be addressed, including facilitating communication between devices, conducting real-time data analysis, and ensuring security. In other words, constraints associated with interoperability, real-time data analysis, usability, scalability, and cost-effectiveness should be overcome in any reliable management system design. In this paper, a smart energy management system based on IoT to improve the efficiency and safety of residential solar panels is presented. The suggested approach focuses on prioritizing load shedding, which plays a crucial role in promoting sustainable energy practices in smart cities. The system is designed using Particle Photon, which includes a microcontroller with Wi-Fi and current transformers (CTs) to dynamically manage energy usage, helping minimize wastage and extend the life of limited power sources such as solar panels or local generators. The energy consumption for the proposed system is calculated assuming a 3576 mAh battery capacity, and the battery lifetime is 1000 hours. OPNET 14.5 Network Simulator is used to simulate the system. The Blynk platform is suggested for publishing data to the cloud for further analysis. Furthermore, recommendations concerning data privacy and security issues are proposed. As a result, stakeholders can smoothly monitor and control their energy consumption through a user-friendly mobile interface. The research shows that integrating IoT technology enhances energy management and supports the development of greener, more sustainable urban environments.
Keywords
Embedded Wireless Communication; Smart Energy Management System; Smart Cities; Solar Panel; Load Shedding

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