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Author:

Zhang, Weirong (Zhang, Weirong.) (Scholars:张伟荣) | Li, Hongye (Li, Hongye.) | Bai, Yifei (Bai, Yifei.) | Wang, Zhaofeng (Wang, Zhaofeng.)

Indexed by:

EI Scopus

Abstract:

In data center, using outdoor low-temperature air as free cooling is one of the most effective ways to increase the energy efficiency of the heat source system. At the same time, optimizing the indoor air organization to reduce the energy consumption of fans is considered as another effective way of saving energy. In this study, a new cooling system for data center by using evaporation and condensation of CO2 as free cooling is proposed. Also, the system is optimized by organizing the cooling airflow with natural convection and small distributed fans on the indoor side. This paper mainly focuses on optimization of cooling airflow, especially that around racks. CFD is used to analyze the temperature distributions and flow distributions by adjusting power of small distributed fans and shape of the cooling unit. The results show that small distributed fans and natural convection can generate the desired distribution of cooling airflow. © 2020, Springer Nature Singapore Pte Ltd.

Keyword:

Energy efficiency Temperature Computational fluid dynamics Carbon dioxide Green computing Energy utilization Cooling systems Natural convection Thermoelectric equipment Air conditioning Cooling

Author Community:

  • [ 1 ] [Zhang, Weirong]Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Li, Hongye]Tokyo Polytechnic University, Tokyo; 243-0297, Japan
  • [ 3 ] [Bai, Yifei]Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Wang, Zhaofeng]Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • 张伟荣

    [zhang, weirong]beijing university of technology, beijing; 100124, china

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Source :

ISSN: 1863-5520

Year: 2020

Page: 1175-1185

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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