Energy-Efficient Data Centers: A Supply Chain Approach to Sustainability
Deepika Nathany
(Manager, Specialized Services)
Email: deepikanathany@gmail.com
Abstract
The increasing global demand for data storage and processing due to the explosion of artificial intelligence and cloud computing has led to the exponential growth in energy consumption of data centers. Traditional data centers incur high operational costs due to their inefficient infrastructure and power intensive cooling methods. This research explores the role of supply chain management in optimizing energy efficiency in data centers and how optimizing supply chains can contribute to energy efficiency and reduction in carbon footprint. It examines sustainable practices, including modular designs, renewable energy integration, and intelligent infrastructure management. A case study methodology and literature review are pursued to explore past trends and current frameworks for enhancing energy efficiency. Findings suggest that integrating energy-efficient cooling techniques, software-defined networking, and AI-driven resource allocation significantly reduces power consumption and environmental impact. Furthermore, supply chain optimizations, such as green procurement strategies and lifecycle-based asset management, enhance sustainability. A necessity for cooperation between industry stakeholders, technologists, technology providers and policy makers is highlighted in this paper. Future research should focus on emerging technologies like quantum computing and advanced thermal management solutions. The study provides insights for organizations aiming to balance operational efficiency with environmental responsibility.
Keywords: Energy-efficient data centers, Sustainability in data centers, Supply chain management, Data center infrastructure, Renewable energy integration, Modular data center design, Intelligent infrastructure management, AI-driven predictive maintenance, Software-defined networking (SDN), Network function virtualization (NFV)
DOI: 10.55041/IJSREM8912
