🌿 Renewable Energy-Powered Networks (REPNs)

Authors:

• Vinay Nathi
• Nandini Maddula
• Ganesh Gundekarla
• Aparna Chalumuri
  Department of Computer Science and Engineering, University of North Texas

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📘 Overview

This research explores the integration of renewable energy sources into network infrastructures, creating energy-efficient and sustainable Wireless Protocols and Networks. It addresses the growing environmental impact of traditional networks and presents solutions based on AI, smart grids, and hybrid energy systems.

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🔍 Abstract

The shift to Renewable Energy-Powered Networks (REPNs) is crucial to reducing carbon emissions and achieving sustainable network operations. This study identifies challenges such as energy intermittency, limited storage, and inefficient power management. It presents solutions like AI-driven predictive analytics, hybrid energy systems, and smart grid integration to ensure resilient, efficient, and eco-friendly networking.

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🎯 Objectives

• Identify core challenges in renewable energy integration for network systems.
• Evaluate AI-based predictive analytics for power demand forecasting.
• Explore hybrid energy solutions for continuous power availability.
• Propose architectures that improve network efficiency and resilience.
• Highlight real-world implementations and future research avenues.

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📚 Key Concepts

• Smart Grids
• AI for Energy Management
• Hybrid Renewable Energy Systems (HRES)
• Green Communication Networks
• Power Grid Resilience
• Energy Storage Technologies
• IoT and Edge Computing in REPNs

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🧠 Methodology

• Conducted a literature review on smart grid evolution and green networking.
• Compared traditional and REPN architectures.
• Studied machine learning models for energy optimization.
• Evaluated hybrid systems combining solar, wind, and hydro power.
• Analyzed demand-side management using AI and IoT sensors.

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⚡ Technologies & Solutions

Technology	Role
AI & ML	Forecasting, optimization, and automated power allocation
Smart Grids	Real-time monitoring, microgrids, decentralized control
Hybrid Systems	Combine solar, wind, and hydro to reduce intermittency
Energy Storage	Lithium-ion, hydrogen fuel cells, supercapacitors
IoT Devices	Monitor and manage energy in real time
Blockchain	Enable decentralized energy trading

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📈 Real-World Case Studies

🇦🇺 Hornsdale Power Reserve (Australia)

• World’s largest lithium-ion battery by Tesla and Neon.
• Improved grid stability and saved ~$116M in 2 years.

🇯🇵 Yokohama Smart Grid Project (Japan)

• Integrated hybrid energy storage and AI-powered demand response.
• Achieved a 20% peak load reduction.

🇲🇦 Noor Solar Power Complex (Morocco)

• 580 MW capacity with thermal energy storage.
• Supplies millions and reduces CO₂ emissions by 760,000 tons/year.

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🔬 Challenges Addressed

• Intermittency: Variability of solar/wind output
• Storage Limitations: Cost and efficiency of batteries
• Grid Integration: Stability issues and voltage imbalance
• Infrastructure Scalability: High setup cost and complexity
• Regulatory Hurdles: Policy and incentive gaps

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🚀 Future Research Directions

• Self-enhancing AI models for real-time grid decisions
• Next-gen battery tech (solid-state, metal-air, hydrogen storage)
• Blockchain-enabled decentralized grids
• Vehicle-to-Grid (V2G) bidirectional power systems
• Equitable energy access policies for underserved areas

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If you use this work, please cite:

@misc{nathi2025renewable,
  author = {Vinay Nathi, Nandini Maddula, Ganesh Gundekarla, Aparna Chalumuri},
  title = {Renewable Energy-Powered Networks: AI-driven Strategies for Sustainable Wireless Protocols},
  year = {2025},
  institution = {University of North Texas}
}

📜 License

This project is for academic and educational use only. Please contact the authors for reuse or distribution.