Experimental and Computational Investigations of the Thermal Environment in a Small Operational Data Center for Potential Energy Efficiency Improvements

Ismail Turkmen, Cem Ahmet Mercan, Hamza Salih Erden*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The share of equipment and power use in smaller data centers (DCs) is comparable with that of more massive counterparts. However, they grabbed less attention in the literature despite being less energy-efficient. This study highlights the challenges of setting up a computational fluid dynamics (CFD) model of a 180-m2 small-size high-performance computing (HPC) DC and the validation procedure leading to a reasonably accurate model for the investigation of the thermal environment and potential energy efficiency improvements. Leaky floors, uneven placement of computing equipment and perforated tiles preventing separation of hot and cold air, low-temperature operation, and excessive cooling capacity and fan power were identified sources of energy inefficiency in the DC. Computational fluid dynamics model predictions were gradually improved by using experimental measurements for various boundary conditions (BCs) and detailed geometrical representation of large leakage openings. Eventually, the model led to predictions with an error of less than 1 °C at the rack inlet and less than 5 °C at the rack outlet. The ultimate objective was to use the validated CFD model to test various energy efficiency measures in the form of operational or design changes in line with the best practices. Impact of leakage between the raised floor and the room, reduced airflow rate, cold-aisle and hot-aisle separation, workload consolidation, and higher temperature operation were among the phenomena tested by using the validated CFD model. The estimated power usage effectiveness (PUE) value reduced from 1.95 to 1.40 with the proposed energy efficiency measures.

Original languageEnglish
Article number031116
JournalJournal of Electronic Packaging, Transactions of the ASME
Volume142
Issue number3
DOIs
Publication statusPublished - 1 Sept 2020

Bibliographical note

Publisher Copyright:
© 2020 American Society of Mechanical Engineers (ASME). All rights reserved.

Funding

• Office of Scientific Research Projects at the Istanbul Techni-cal University (Project No. 40576; Funder ID: 10.13039/ 501100007504).

FundersFunder number
Istanbul Techni-cal University40576

    Keywords

    • computational fluid dynamics
    • data centers
    • energy efficiency
    • experimental measurements

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