Energy efficiency strategy in data centers: a systematic review

Authors

DOI:

https://doi.org/10.21712/lajer.2025.v12.n4.p73-82

Keywords:

data center; energy efficiency; cooling system

Abstract

: A massive amount of data is processed daily in a Data Center (DC), and this workload has been increasing every year due to the expansion of cloud-based services and large-scale applications. In this context, a systematic review was conducted focusing on a quantitative and qualitative analysis of articles published in different parts of the world, with the objective of presenting actions and strategies developed in various contexts to address the growing energy consumption in these environments. Furthermore, challenges related to the quality and continuity of power supply are highlighted, as they directly and indirectly affect the operation of Data Centers. With each technological expansion, new investments in equipment are required, which consequently lead to higher energy demand. Finally, this study presents the selection of articles based on established criteria and their respective contributions to the adoption of best practices that promote the efficient and sustainable operation of DC.

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Author Biographies

  • Fala razoavel, Federal University of Mato Grosso do Sul

    She is an Associate Professor IV at the Federal University of Mato Grosso do Sul, holding degrees in Electrical Engineering and Administration, as well as a master’s and PhD in Electrical Engineering from the Federal University of Santa Catarina, and a postdoctoral fellowship at Hospital São Vicente de Paulo. She works in the areas of Biomedical Engineering, Energy Efficiency and Sustainability, and Information Systems, with experience in medical informatics, neural networks, clinical engineering, and electrical safety. She teaches in the Electrical Engineering and Industrial Electrotechnics programs and is part of the Professional Master’s Programs in Energy Efficiency and Sustainability and in Applied Computing, currently serving as coordinator of the former.

  • Fala razoavel, Federal University of Mato Grosso do Sul

    Master’s student in Energy Efficiency and Sustainability at the Federal University of Mato Grosso do Sul (2023), with a degree in Computer Engineering from the same institution. He has experience and knowledge in the areas of electrical engineering, electronics, and computing. He currently works as an information technology technician at the Federal University of Mato Grosso do Sul.

References

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ASHRAE TECHNICAL COMMITTEE (2021) Thermal Guidelines for Data Processing Environments – Expanded Data Center Classes and Usage Guidance. 5. ed. Atlanta. Disponível em: https://www.ashrae.org/file%20library/technical%20resources/bookstore/supplemental%20files/therm-gdlns-5th-r-e-refcard.pdf. (accessed 2 Oct. 2024).

Chang, Q, Huang, Y, Liu, K, Xu, X, Zhao, X and Pan, S (2024) ‘Optimization Control Strategies and Evaluation Metrics of Cooling Systems in Data Centers: A Review’, Sustainability, v. 16, p. 1-41. https://doi.org/10.3390/su16167222.

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Singh, N, Permana, I, Agharid, AP and Wang, FJ (2024) ‘Retrofitting HVAC systems for enhanced energy performance and resilience in university Data Center room’, Journal of Building Engineering, v. 95, p. 1-18. https://doi.org/10.1016/j.jobe.2024.110162.

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Published

12/24/2025

Issue

Section

Eficiência Energética

How to Cite

Leitura, E. and Leitura, E. (2025) “Energy efficiency strategy in data centers: a systematic review”, Latin American Journal of Energy Research, 12(4), pp. 73–82. doi:10.21712/lajer.2025.v12.n4.p73-82.

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