Green Data Centers: Advancing Sustainability in the Digital Era
The advancement of digital technologies, and the increased use of data-driven applications, have driven data center demand around the globe. Although crucial in contemporary architecture, conventional data centers are major energy hogs and detrimental to many environmental concerns including high carbon footprint and resource depletion. Green data centres are the new concept to counter the negative impacts of conventional data centres and these are more energy efficient, integrated with renewable power sources and use unique cooling technologies. These are: server virtualization, liquid and immersion cooling, waste heat to power recovery, and the use of clean energy such as solar and wind energy. AI driven power management, edge computing, and photonic interconnects are some of the new trends that continue to revolutionize the efficiency and sustainability of these facilities. However, challenges like high initial investment, policy instabilities, and technological limitations to renewable energy systems integration have not been addressed. Solving these problems should involve policy makers, managers and scholars in the field of supply chain management. Green data centres are the future in which, through the use of innovative technologies such as quantum computing, AI optimisation as well as modularity in the design of data centres, an increase in masses’ digital needs will be well served while at the same time being environmentally sensitive. With the help of such innovations, green data centers can set an example for the development of the new green economy.
Authors
- R. Sıva Subramanıan (ORCID: https://orcid.org/0000-0002-7509-9223)
- T. Thilagam
- G. Amudha
- S. Ananthi (ORCID: https://orcid.org/0000-0003-0546-2354)
- J. Elavarasi
- B. Saratha
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
- R.M.D. Engineering College
- National Institute of Technology Meghalaya (IN)
Publication Details
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1109/ictmim65579.2025.10988439
- Citations
- 3
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 6.85