Design and performance research of integrated indirect liquid cooling system for rack server

被引:20
作者
Zhang, Ying [1 ]
Li, Chao [1 ]
Pan, Minqiang [1 ]
机构
[1] South China Univ Technol, Sch Mech & Automot Engn, Guangzhou, Peoples R China
关键词
Thermal management; Liquid cooling; Heat pipe; Thermal performance; Rack server; THERMAL MANAGEMENT; HEAT REUSE; VALIDATION;
D O I
10.1016/j.ijthermalsci.2022.107951
中图分类号
O414.1 [热力学];
学科分类号
摘要
The development of emerging technologies such as Internet of things, blockchain, and artificial intelligence put forward higher requirements for the computing power of edge data center servers, which is mainly restricted by cooling technology. To improve the heat dissipation performance and the deployment flexibility of the edge data center, the concept of integrated indirect liquid cooling system for the edge data center server was introduced, and two samples were investigated through the tests. Firstly, the factors affecting the system performance were studied by experiment and numerical simulation. Then, the heat transfer performance, the flow characteristic, and the system's stability were analyzed. Finally, the temperature control ability of the air cooling and liquid cooling server was compared and analyzed by numerical simulation method. The results show that increasing the flow rate improves the heat dissipation performance when the surface temperature and thermal resistance of the chip reduce. But the further increase in flow rate slows down this trend. The heat dissipation performance of the system also reduces with the increase in coolant temperature. Two sets of the cooling systems, which are respectively arranged inside and outside the server, have similar flow characteristics, but the feasibility of the external system server is higher, which is verified by the numerical simulation method.
引用
收藏
页数:13
相关论文
共 25 条
[1]   Experimental and numerical analysis for potential heat reuse in liquid cooled data centres [J].
Carbo, Andreu ;
Oro, Eduard ;
Salom, Jaume ;
Canuto, Mauro ;
Macias, Mario ;
Guitart, Jordi .
ENERGY CONVERSION AND MANAGEMENT, 2016, 112 :135-145
[2]   Development of an adaptive artificial neural network model and optimal control algorithm for a data center cyber-physical system [J].
Cho, Young Jae ;
Park, Bo Rang ;
Hyun, Ji Yeon ;
Moon, Jin Woo .
BUILDING AND ENVIRONMENT, 2022, 210
[3]   An Overview of the IBM Power 775 Supercomputer Water Cooling System [J].
Ellsworth, Michael J. ;
Goth, Gary F. ;
Zoodsma, Randy J. ;
Arvelo, Amilcar ;
Campbell, Levi A. ;
Anderl, William J. .
JOURNAL OF ELECTRONIC PACKAGING, 2012, 134 (02)
[4]   Evaluation of the waste heat utilization from a hot-water-cooled high performance computer via a heat pump [J].
Feike, Frederik ;
Oltmanns, Johannes ;
Dammel, Frank ;
Stephan, Peter .
ENERGY REPORTS, 2021, 7 :70-78
[5]   Optimal thermal management of server cooling system based cooling tower under different ambient temperatures [J].
He, Wei ;
Zhang, Jifang ;
Li, Hailong ;
Liu, Shengchun ;
Wang, Yulin ;
Lv, Baoying ;
Wei, Jie .
APPLIED THERMAL ENGINEERING, 2022, 207
[6]   Performance optimization of server water cooling system based on minimum energy consumption analysis [J].
He, Wei ;
Ding, Su ;
Zhang, Jifang ;
Pei, Chenchen ;
Zhang, Zhiheng ;
Wang, Yulin ;
Li, Hailong .
APPLIED ENERGY, 2021, 303
[7]  
Islam MM, 2017, INTERSOC C THERMAL T, P850
[8]  
Iyengar M, 2012, P IEEE SEMICOND THER, P212, DOI 10.1109/STHERM.2012.6188851
[9]   A Review on efficient thermal management of air- and liquid-cooled data centers: From chip to the cooling system [J].
Khalaj, Ali Habibi ;
Halgamuge, Saman K. .
APPLIED ENERGY, 2017, 205 :1165-1188
[10]   Experimental evaluation of a thermal contact liquid cooling system for server electronics [J].
Kheirabadi, Ali C. ;
Groulx, Dominic .
APPLIED THERMAL ENGINEERING, 2018, 129 :1010-1025