Abstract

The rapid expansion of digital communication networks and data-intensive applications has significantly increased global energy consumption, leading to mounting environmental and economic pressures. Traditional network infrastructures primarily rely on fossil-based power sources, contributing to carbon emissions and operational inefficiencies. To address these challenges, this study proposes a Model for Integrating Renewable Energy Systems (RES) into Intelligent Network Infrastructure for Sustainable Operations, aiming to optimize energy utilization, enhance resilience, and support the transition toward carbon-neutral digital ecosystems. The proposed model combines renewable energy generation such as solar, wind, and hybrid systems with Artificial Intelligence (AI), Machine Learning (ML), and Software-Defined Networking (SDN) technologies to enable real-time monitoring, adaptive energy allocation, and intelligent decision-making. The model adopts a multi-layer architecture encompassing an Energy Layer for renewable generation and storage, a Control Layer for dynamic energy routing via SDN, an Intelligence Layer for predictive energy optimization using AI/ML, and a Sustainability Layer for tracking carbon efficiency and compliance. By integrating IoT-based sensing, big data analytics, and smart grid technologies, the framework facilitates seamless interaction between network operations and renewable power systems, minimizing energy waste and enhancing system reliability. Simulated evaluations in data centers, 5G infrastructures, and edge computing environments indicate significant improvements in energy efficiency, cost savings, and emission reductions compared to conventional grid-dependent networks. Beyond technical optimization, the model contributes to environmental sustainability, aligning with the United Nations Sustainable Development Goals (SDGs) by promoting green ICT practices and circular energy management. This research underscores the importance of cross-domain collaboration linking telecommunications, renewable energy engineering, and artificial intelligence to develop future-ready, energy-aware digital infrastructures.