Hybrid-Cooled Data Center Server Layout Optimization for Air-Side Heat Recovery

Assel Sakanova; Sajad Alimohammadi; Jaakko McEvoy; Tim Persoons

doi:10.1109/THERMINIC.2018.8593309

Hybrid-Cooled Data Center Server Layout Optimization for Air-Side Heat Recovery

Assel Sakanova
, Sajad Alimohammadi
, Jaakko McEvoy
, Tim Persoons

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The rapid increase in energy demand for data center requires improved cooling techniques. This study investigates, numerically and experimentally, the energy efficiency optimization based on server level air flows and also identifies the potential for waste heat recovery from the air stream for a hybrid air/liquid cooled server. Multi-objective genetic algorithm and entropy generation minimization are chosen as tools to address the multiple objectives involved in the problem and examine the cooling performance and waste heat recovery potential. Selected experimental measurements have successfully validated the CFD simulation model.

Original language	English
Title of host publication	THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538667590
DOIs	https://doi.org/10.1109/THERMINIC.2018.8593309 https://doi.org/10.1109/THERMINIC.2018.8593309
Publication status	Published - 27 Dec 2018
Event	24th International Workshop on Thermal Investigations of ICs and Systems, THERMINIC 2018 - Stockholm, Sweden Duration: 26 Sep 2018 → 28 Sep 2018

Publication series

Name	THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings

Conference

Conference	24th International Workshop on Thermal Investigations of ICs and Systems, THERMINIC 2018
Country/Territory	Sweden
City	Stockholm
Period	26/09/18 → 28/09/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

https://arrow.tudublin.ie/engschmanconn/60Licence: CC BY-NC-SA

Cite this

Sakanova, A., Alimohammadi, S., McEvoy, J., & Persoons, T. (2018). Hybrid-Cooled Data Center Server Layout Optimization for Air-Side Heat Recovery. In THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings Article 8593309 (THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/THERMINIC.2018.8593309, https://doi.org/10.1109/THERMINIC.2018.8593309

Sakanova, Assel ; Alimohammadi, Sajad ; McEvoy, Jaakko et al. / Hybrid-Cooled Data Center Server Layout Optimization for Air-Side Heat Recovery. THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings).

@inproceedings{65a1e00cab0e40bd89d77e6f1b9db26e,

title = "Hybrid-Cooled Data Center Server Layout Optimization for Air-Side Heat Recovery",

abstract = "The rapid increase in energy demand for data center requires improved cooling techniques. This study investigates, numerically and experimentally, the energy efficiency optimization based on server level air flows and also identifies the potential for waste heat recovery from the air stream for a hybrid air/liquid cooled server. Multi-objective genetic algorithm and entropy generation minimization are chosen as tools to address the multiple objectives involved in the problem and examine the cooling performance and waste heat recovery potential. Selected experimental measurements have successfully validated the CFD simulation model.",

author = "Assel Sakanova and Sajad Alimohammadi and Jaakko McEvoy and Tim Persoons",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 24th International Workshop on Thermal Investigations of ICs and Systems, THERMINIC 2018 ; Conference date: 26-09-2018 Through 28-09-2018",

year = "2018",

month = dec,

day = "27",

doi = "10.1109/THERMINIC.2018.8593309",

language = "English",

series = "THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings",

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}

Sakanova, A, Alimohammadi, S, McEvoy, J & Persoons, T 2018, Hybrid-Cooled Data Center Server Layout Optimization for Air-Side Heat Recovery. in THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings., 8593309, THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings, Institute of Electrical and Electronics Engineers Inc., 24th International Workshop on Thermal Investigations of ICs and Systems, THERMINIC 2018, Stockholm, Sweden, 26/09/18. https://doi.org/10.1109/THERMINIC.2018.8593309, https://doi.org/10.1109/THERMINIC.2018.8593309

Hybrid-Cooled Data Center Server Layout Optimization for Air-Side Heat Recovery. / Sakanova, Assel; Alimohammadi, Sajad; McEvoy, Jaakko et al.
THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8593309 (THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sakanova, Assel

AU - Alimohammadi, Sajad

AU - McEvoy, Jaakko

AU - Persoons, Tim

PY - 2018/12/27

Y1 - 2018/12/27

N2 - The rapid increase in energy demand for data center requires improved cooling techniques. This study investigates, numerically and experimentally, the energy efficiency optimization based on server level air flows and also identifies the potential for waste heat recovery from the air stream for a hybrid air/liquid cooled server. Multi-objective genetic algorithm and entropy generation minimization are chosen as tools to address the multiple objectives involved in the problem and examine the cooling performance and waste heat recovery potential. Selected experimental measurements have successfully validated the CFD simulation model.

AB - The rapid increase in energy demand for data center requires improved cooling techniques. This study investigates, numerically and experimentally, the energy efficiency optimization based on server level air flows and also identifies the potential for waste heat recovery from the air stream for a hybrid air/liquid cooled server. Multi-objective genetic algorithm and entropy generation minimization are chosen as tools to address the multiple objectives involved in the problem and examine the cooling performance and waste heat recovery potential. Selected experimental measurements have successfully validated the CFD simulation model.

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U2 - 10.1109/THERMINIC.2018.8593309

DO - 10.1109/THERMINIC.2018.8593309

M3 - Conference contribution

AN - SCOPUS:85061481140

T3 - THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings

BT - THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 26 September 2018 through 28 September 2018

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Sakanova A, Alimohammadi S, McEvoy J, Persoons T. Hybrid-Cooled Data Center Server Layout Optimization for Air-Side Heat Recovery. In THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8593309. (THERMINIC 2018 - 24th International Workshop on Thermal Investigations of ICs and Systems, Proceedings). doi: 10.1109/THERMINIC.2018.8593309, 10.1109/THERMINIC.2018.8593309

Hybrid-Cooled Data Center Server Layout Optimization for Air-Side Heat Recovery

Abstract

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UN SDGs

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