Development of modular air containment system: Thermal performance optimization of row-based cooling for high-density data centers

被引:29
作者
Cho, Jinkyun [1 ]
Kim, Youngmo [2 ]
机构
[1] Hanbat Natl Univ, Dept Bldg & Plant Engn, Daejeon 34158, South Korea
[2] VIVANS Co Ltd, Business Div, Seoul 06108, South Korea
基金
新加坡国家研究基金会;
关键词
Data center; Row-based cooling; Air containment system; Thermal performance; Cooling provisioning; CFD simulation; AISLE CONTAINMENT; MANAGEMENT; METRICS;
D O I
10.1016/j.energy.2021.120838
中图分类号
O414.1 [热力学];
学科分类号
摘要
Modular air containment (MAC) prototype was developed for optimal row-based cooling system for high-density data centers. The main purpose of this study is to evaluate the thermal performance , compare the cooling provisioning of different configurations of row-based cooling system to find the optimum placement of in-row CRAC units. Techno-optimal estimations were performed considering different in-row CRAC placements and aisle layouts. A matrix combination was analyzed based on total 2592 cases that can be implemented. By the whole optimization process of in-row cooler placement, we can achieve the best solution with the statically balanced cooling provisioning with a margin of error of 0.2%. The cooled air from in-row CRAC units was supplied with almost no heat loss in the air distribution paths to each server. Numerical simulations confirmed that the cold-hot-cold (C-H-C) aisle layout can improve the minimum 9% of heat balance for the provisioned CRACs compared to the hot-cold-hot (H-C -H) aisle layout. Temperature distributions, air streamlines and net cooling usages showed that the C-H -C aisle layout has better thermal performance and cooling provisioning especially for the row-based cooling. The C-H-C aisle layout is more proper than the H-C-H aisle layout for achieving the desired cooling efficiency.& nbsp; (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:18
相关论文
共 40 条
[31]  
Niemann J, 2011, APC white paper 135 rev02
[32]  
Patel CD, 2003, P IPACK 03 INT EL PA, P6
[33]  
Schlichting AD, 2016, Data center energy efficiency technologies and methodologies: a review of commercial technologies and recommendations for application to department of defense systems
[34]   An experimental and theoretical investigation of the extent of bypass air within data centres employing aisle containment, and its impact on power consumption [J].
Tatchell-Evans, Morgan ;
Kapur, Nik ;
Summers, Jonathan ;
Thompson, Harvey ;
Oldham, Dan .
APPLIED ENERGY, 2017, 186 :457-469
[35]  
U.S. Department of Energy, 2009, US DAT CTR SAV EN NO
[36]   On cold-aisle containment of a container datacenter [J].
Wang, Cheng-Hao ;
Tsui, Yeng-Yung ;
Wang, Chi-Chuan .
APPLIED THERMAL ENGINEERING, 2017, 112 :133-142
[37]   Computational Fluid Dynamics Modeling and Validating Experiments of Airflow in a Data Center [J].
Wibron, Emelie ;
Ljung, Anna-Lena ;
Lundstrom, T. Staffan .
ENERGIES, 2018, 11 (03)
[38]   Evaluation metrics of thermal management in data centers based on exergy analysis [J].
Xie, Mengxiao ;
Wang, Jian ;
Liu, Jinxiang .
APPLIED THERMAL ENGINEERING, 2019, 147 :1083-1095
[39]   Simulation on vertical microchannel evaporator for rack-backdoor cooling of data center [J].
Zhan, Binfei ;
Shao, Shuangquan ;
Zhang, Hainan ;
Tian, Changqing .
APPLIED THERMAL ENGINEERING, 2020, 164 (164)
[40]   Recent advancements on thermal management and evaluation for data centers [J].
Zhang, Kai ;
Zhang, Yiwen ;
Liu, Jinxiang ;
Niu, Xiaofeng .
APPLIED THERMAL ENGINEERING, 2018, 142 :215-231