Comparative energy analysis of cooling energy performance between conventional and hybrid air source internet data center cooling system

Nicholas Boafo Lamptey; Selorm Kwaku Anka; Kwang Ho Lee; Yong Cho; Jong Woong Choi; Jong Min Choi

doi:10.1016/j.enbuild.2023.113759

Comparative energy analysis of cooling energy performance between conventional and hybrid air source internet data center cooling system

Nicholas Boafo Lamptey, Selorm Kwaku Anka, Kwang Ho Lee, Yong Cho, Jong Woong Choi, Jong Min Choi

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

The widespread need for data processing has led to an increase in internet data centers (IDCs), contributing to the generation of high heat loads and high energy usage. This study discusses a simulation model of a newly proposed cooling system applied to data centers for five selected climatic areas in South Korea. Using experimental data of the newly proposed system, performance correlations are developed by regression analysis method to estimate performance curve coefficients for energy modelling and simulation to predict the annual energy performance of the system and compare the performance with that of a conventional cooling system. The results showed an overall annual average energy efficiency of approximately 14.1% of the hybrid cooling system over the conventional cooling system. The mean seasonal coefficient of performance (SCOP) for the hybrid system and the conventional system is approximately 6.7 and 4.9 respectively for all cases in the winter period while a SCOP of 3.2 and 3.7 respectively for the summer period.

Original language	English
Article number	113759
Journal	Energy and Buildings
Volume	302
DOIs	https://doi.org/10.1016/j.enbuild.2023.113759
Publication status	Published - 2024 Jan 1

Bibliographical note

Publisher Copyright:
© 2023 Elsevier B.V.

Keywords

Coefficient of performance
Data center
Hybrid cooling
Part load ratio
Performance curve

ASJC Scopus subject areas

Civil and Structural Engineering
Building and Construction
Mechanical Engineering
Electrical and Electronic Engineering

UN SDGs

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

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10.1016/j.enbuild.2023.113759

Cite this

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title = "Comparative energy analysis of cooling energy performance between conventional and hybrid air source internet data center cooling system",

abstract = "The widespread need for data processing has led to an increase in internet data centers (IDCs), contributing to the generation of high heat loads and high energy usage. This study discusses a simulation model of a newly proposed cooling system applied to data centers for five selected climatic areas in South Korea. Using experimental data of the newly proposed system, performance correlations are developed by regression analysis method to estimate performance curve coefficients for energy modelling and simulation to predict the annual energy performance of the system and compare the performance with that of a conventional cooling system. The results showed an overall annual average energy efficiency of approximately 14.1% of the hybrid cooling system over the conventional cooling system. The mean seasonal coefficient of performance (SCOP) for the hybrid system and the conventional system is approximately 6.7 and 4.9 respectively for all cases in the winter period while a SCOP of 3.2 and 3.7 respectively for the summer period.",

keywords = "Coefficient of performance, Data center, Hybrid cooling, Part load ratio, Performance curve",

author = "Lamptey, {Nicholas Boafo} and Anka, {Selorm Kwaku} and Lee, {Kwang Ho} and Yong Cho and Choi, {Jong Woong} and Choi, {Jong Min}",

note = "Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",

year = "2024",

month = jan,

day = "1",

doi = "10.1016/j.enbuild.2023.113759",

language = "English",

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T1 - Comparative energy analysis of cooling energy performance between conventional and hybrid air source internet data center cooling system

AU - Lamptey, Nicholas Boafo

AU - Anka, Selorm Kwaku

AU - Lee, Kwang Ho

AU - Cho, Yong

AU - Choi, Jong Woong

AU - Choi, Jong Min

PY - 2024/1/1

Y1 - 2024/1/1

N2 - The widespread need for data processing has led to an increase in internet data centers (IDCs), contributing to the generation of high heat loads and high energy usage. This study discusses a simulation model of a newly proposed cooling system applied to data centers for five selected climatic areas in South Korea. Using experimental data of the newly proposed system, performance correlations are developed by regression analysis method to estimate performance curve coefficients for energy modelling and simulation to predict the annual energy performance of the system and compare the performance with that of a conventional cooling system. The results showed an overall annual average energy efficiency of approximately 14.1% of the hybrid cooling system over the conventional cooling system. The mean seasonal coefficient of performance (SCOP) for the hybrid system and the conventional system is approximately 6.7 and 4.9 respectively for all cases in the winter period while a SCOP of 3.2 and 3.7 respectively for the summer period.

AB - The widespread need for data processing has led to an increase in internet data centers (IDCs), contributing to the generation of high heat loads and high energy usage. This study discusses a simulation model of a newly proposed cooling system applied to data centers for five selected climatic areas in South Korea. Using experimental data of the newly proposed system, performance correlations are developed by regression analysis method to estimate performance curve coefficients for energy modelling and simulation to predict the annual energy performance of the system and compare the performance with that of a conventional cooling system. The results showed an overall annual average energy efficiency of approximately 14.1% of the hybrid cooling system over the conventional cooling system. The mean seasonal coefficient of performance (SCOP) for the hybrid system and the conventional system is approximately 6.7 and 4.9 respectively for all cases in the winter period while a SCOP of 3.2 and 3.7 respectively for the summer period.

KW - Coefficient of performance

KW - Data center

KW - Hybrid cooling

KW - Part load ratio

KW - Performance curve

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U2 - 10.1016/j.enbuild.2023.113759

DO - 10.1016/j.enbuild.2023.113759

M3 - Article

AN - SCOPUS:85178078545

SN - 0378-7788

VL - 302

JO - Energy and Buildings

JF - Energy and Buildings

M1 - 113759

ER -

Comparative energy analysis of cooling energy performance between conventional and hybrid air source internet data center cooling system

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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