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Analyzing the Data Center Efficiency by Using PUE to Make Data Centers More Energy Efficient by Reducing the Electrical Consumption and Exploring New Strategies
Open accessAbstract
In today's technology driven world the growth of the data centers have been enormous to match the required needs of various institutions, organizations and governments etc. for storing data in a safe and secure manner. Similarly efficient use of electrical energy is gaining importance due to diminishing resources and ever growing demands. Therefore the efficient energy utilization is a must in a data center. In this paper we have discussed the architecture, electrical system and the cooling system of a data center in a generalized manner. Also all the basic required parameters for calculating the energy efficiency of the data center are considered. Suggested procedure can be utilized for the power consumption analysis of a data center and obtained results can help taking measures to improve the energy utilization of the data center.
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“The data centers that host this hardware are also becoming more efficient, with the average PUE (Power Usage Efficiency) dropping steadily in recent years [37, 106]; however, the energy use and environmental impacts of these data centers has been rising (as described in Section 2).”
From From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate (2025) · cites this paper as [106]
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Research works printed but not linked: 13
- Turner, 2006, Tier Classification Define Site Infrastructure Performance, Uptime Institute, vol. 17
- Bouley, 2010, Estimating a data center's electrical carbon footprint, White Paper, vol. 66
- Evans, 2012, The Different Technologies for Cooling Data Centers, APC white paper, vol. 59
- Tschudi, 2004, High-performance data centers: A research roadmap, Lawrence Berkeley National Laboratory
- Niemann, 2011, Impact of hot and cold aisle containment on data center temperature and efficiency,, Schneider Electric Data Center Science Center White Paper, vol. 135, 1
- Rasmussen, 2007, Electrical efficiency measurement for data centers, White Paper, vol. 154
- Lawrence, 2006, Self Benchmarking Guide for Data Center Energy Performance, Lawrence Berkley National Laboratory
- Gas, 2006, High Performance Data Centers: A Design Guidelines Sourcebook: Pacific Gas and Electric Company
- Garday, 2006, Air-Cooled High-Performance Data Centers: Case Studies and Best Methods, Intel Corporation White Paper
- Jones, 2008, Seven Strategies to Improve Data Center Cooling Efficiency, The Green Grid White Paper, vol. 11
- Engineering, 2006, Measuring and Managing Data Center Energy Use
- Greenberg, 2006, Best practices for data centers: Lessons learned from benchmarking 22 data centers, Proceedings of the ACEEE Summer Study on Energy Efficiency in Buildings in Asilomar, CA. ACEEE, vol. 3, 76
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Luccioni, A. S., Strubell, E., & Crawford, K. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3715275.3732007 · Cited by 71
“The data centers that host this hardware are also becoming more efficient, with the average PUE (Power Usage Ef-ficiency) dropping steadily in recent years [37, 106]; however, the energy use and environmental impacts of these data centers has been rising (as described in Section 2).”
Metadata
- Authors
- Sharma, M., Arunachalam, K., & Sharma, D.
- Affiliations
- University of Petroleum and Energy Studies (IN)
- Bharati Vidyapeeth (Deemed to be University) (IN)
- Corresponding author
- Sharma, Madhu
- ORCID
- Sharma, Madhu
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2015
- Volume
- 48
- Pages
- 142-148
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W419506996
- Cited by
- 30
- References
- 0
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 1 · 2023: 3 · 2021: 7 · 2020: 3 · 2019: 2 · 2018: 3 · 2017: 2 · 2016: 1
- FWCI
- 1.74
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia Computer Science (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
- Keywords
- data center energy efficiency, power usage effectiveness, data center energy consumption, data center cooling
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- CoChat. (2026). Citation check: Analyzing the Data Center Efficiency by Using PUE to Make Data Centers More Energy Efficient by Reducing the Electrical Consumption and Exploring New Strategies. https://app.cochat.ai/papers/10.1016/j.procs.2015.04.163
- The paper
- Sharma, M., Arunachalam, K., & Sharma, D. (2015). Analyzing the Data Center Efficiency by Using PUE to Make Data Centers More Energy Efficient by Reducing the Electrical Consumption and Exploring New Strategies. Procedia Computer Science. https://doi.org/10.1016/j.procs.2015.04.163
