Research Progress on Energy Saving of Data Center Cooling System

SU Lin; DONG Kai-jun; SUN Qin; HUANG Zhi-lin; LIU Jing

doi:10.3969/j.issn.2095-560X.2019.01.010

Advances in New and Renewable Energy >

2019 , Vol. 7 >Issue 1: 93 - 104

DOI: https://doi.org/10.3969/j.issn.2095-560X.2019.01.010

Research Progress on Energy Saving of Data Center Cooling System

SU Lin ,
DONG Kai-jun ,
SUN Qin ,
HUANG Zhi-lin ,
LIU Jing

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1. Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China;
2. Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou 510650, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2018-10-11

Revised date: 2018-11-20

Online published: 2019-02-27

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Abstract

Data centers represent the core infrastructure of the information industry. The energy consumption of data centers is a concern, as their power usage effectiveness (PUE) in China is much higher than that in the developed countries. So it is of great significance to conduct research on data center energy conservation. This paper focuses on the recent research advances in data center cooling systems from three perspectives: natural cooling, airflow organization optimization and cold storage. It is proposed that natural cooling technology should be adopted according to local conditions and that more in-depth research should be conducted in areas with poor natural cold source conditions. In addition, airflow organization optimization should enhance cabinet-level airflow organization for high-power density cabinets based on existing airflow control methods. Moreover, cold storage technology can bring data center operators huge economic benefits as well as substantial improvements to power generation and grid transmission distribution efficiency. Therefore, the existing cold storage technology cooling density needs to be improved, and further study should be conducted on the cold storage control strategies for optimal use in data centers.

Key words： data center energy saving; natural cooling; airflow organization optimization; cold storage

Cite this article

SU Lin , DONG Kai-jun , SUN Qin , HUANG Zhi-lin , LIU Jing . Research Progress on Energy Saving of Data Center Cooling System[J]. Advances in New and Renewable Energy, 2019 , 7(1) : 93 -104 . DOI: 10.3969/j.issn.2095-560X.2019.01.010

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