Optimal setting parameters of cooling system under different climate zones for data center energy efficiency

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

2 Scopus Citations
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Author(s)

  • Jing Liu
  • Lin Su
  • Kaijun Dong
  • Qin Sun
  • Zhenhua Shao

Detail(s)

Original languageEnglish
Pages (from-to)10086-10099
Journal / PublicationInternational Journal of Energy Research
Volume45
Issue number7
Online published22 Feb 2021
Publication statusPublished - 10 Jun 2021

Abstract

The high rates of electricity consumption in data centers become a worldwide concern. Water-side free cooling is an effective solution to reduce the energy consumed by the data center's cooling system. However, the water-side free cooling system is not well planned, and the free cooling utilization rate is low in different climate zone. Moreover, the effects of local climatic conditions on the optimal setting parameters have not been researched. In this study, the optimal setting in chilled water supply temperature, temperature difference, and chilled water return temperature is analyzed to enhance the efficiency of the free cooling system. We observed that the optimal setting could reduce annual energy consumption by 23.5%–60.8% in various climate zones and has substantial energy-saving potential in the subtropical highland climate zone. The results show that the optimal setting parameters are highly affected by the annual accumulative wet-bulb temperature distribution. Furthermore, considering a monthly analysis of these enhanced parameters, we proposed a dual-working condition cooling system for the data center's future construction. This research work guides the design of such cooling systems in various climate zones.

Research Area(s)

  • climate condition, data centers, energy-saving, optimal setting, water-side free cooling system

Citation Format(s)

Optimal setting parameters of cooling system under different climate zones for data center energy efficiency. / Liu, Jing; Su, Lin; Dong, Kaijun et al.

In: International Journal of Energy Research, Vol. 45, No. 7, 10.06.2021, p. 10086-10099.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review