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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Energy Efficiency
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1449358
This article is part of the Research Topic Energy Management, Energy Efficiency Policies, and Energy System Studies View all 3 articles

Next-Generation Data Center Energy Management: A Data-Driven Decision-Making Framework

Provisionally accepted
Vlatko Milic Vlatko Milic *
  • Linköping University, Linköping, Sweden

The final, formatted version of the article will be published soon.

    In the era of society's ongoing digitization and the exponential growth in data volume, alongside a growing energy demand, energy management plays an integral role in the data center (DC) and is a key factor in the quest for decarbonization. In light of the complex nature of DCs, traditional energy management strategies are inadequate. This research introduces a data-driven decision-making framework for DCs, grounded in the OODA (Observation, Orientation, Decision, and Action) loop and based on insights from an Ericsson-operated DC in Linköping, Sweden. The developed framework enables data centers (DCs) to enhance energy efficiency effectively. Rooted in the OODA loop and leveraging extensive datasets from DCs' building management systems, this framework aids in decreasing cooling energy usage through strategic, data-driven decision-making. By adopting AI methods, specifically K-means clustering in this research, for continuous monitoring and fine-tuning (Proportional, Integral, Derivative) PID parameters, the framework aids in improving operational efficiency.

    Keywords: data center, Energy Management, AI, K-means, OODA loop

    Received: 14 Jun 2024; Accepted: 30 Aug 2024.

    Copyright: © 2024 Milic. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Vlatko Milic, Linköping University, Linköping, Sweden

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.