作者简介:唐于晴(1995—),女,博士生;
陶文铨(通信作者),男,教授,博士生导师,中国科学院院士。
收稿:2025-02-18,
纸质出版:2025-11-10
移动端阅览
唐于晴, 王占军, 胡孝俊, 等. 单相浸没冷却数据中心的多尺度模型研究[J]. 西安交通大学学报, 2025,59(11):73-83.
TANG Yuqing, WANG Zhanjun, HU Xiaojun, et al. Multiscale Modeling of Single-Phase Immersion Cooling in Data Centers[J]. Journal of Xi'an Jiaotong University, 2025, 59(11): 73-83.
唐于晴, 王占军, 胡孝俊, 等. 单相浸没冷却数据中心的多尺度模型研究[J]. 西安交通大学学报, 2025,59(11):73-83. DOI: 10.7652/xjtuxb202511007.
TANG Yuqing, WANG Zhanjun, HU Xiaojun, et al. Multiscale Modeling of Single-Phase Immersion Cooling in Data Centers[J]. Journal of Xi'an Jiaotong University, 2025, 59(11): 73-83. DOI: 10.7652/xjtuxb202511007.
针对传统冷却方法难以有效应对数据中心高功率密度散热需求,以及局部热点问题易导致设备性能下降和可靠性降低等问题,提出并发展了数据中心单相浸没液冷多尺度数值模型。首先,由单相浸没服务器详细模型得到服务器阻力曲线;然后,利用边界条件在不同层级间的传递方式,构建单相浸没冷却数据中心的多尺度仿真模型;最后,采用准确性经过验证的多尺度模型,研究了不同浸没腔体流量分配方式对多尺度模型的影响。数值结果表明:所构建的模型显著降低了计算复杂性和资源要求;相较于异侧出入口方式,采用分配腔+分配歧管方式,得到的流量分配不均匀性降低了74.67%,芯片节点温度降低了3.71℃;芯片节点温度随腔体进口液体温度呈正比线性变化,与腔体入口速度呈负增长关系,实现了数据中心浸没腔体级到芯片级完整的仿真链路。
To address the challenges traditional cooling methods face in effectively managing the high power density heat dissipation demands of data centers
as well as issues such as local hotspots that can lead to decreased equipment performance and reliability
a multiscale numerical model for single-phase immersion cooling in data centers is proposed and developed. First
resistance curves for servers are derived from detailed models of single-phase immersion servers. Then
a multiscale simulation model for single-phase immersion cooling in data centers is constructed through transferring boundary conditions across different levels. Finally
the effects of different flow allocation methods in immersion chambers on the multiscale model are studied using the validated multiscale model. Numerical results indicate that the constructed model substantially reduces computational complexity and resource requirements. Compared to the“opposite-side inlet-outlet”method
the use of a“distribution chamber+manifold”method leads to a 74.67% reduction in flow distribution unevenness and a chip node temperature drop of 3.71℃.Moreover
the chip node temperature is proportional to the inlet liquid temperature of the chamber and inversely related to the inlet liquid velocity
thus achieving a complete simulation chain from the immersion chamber level to the chip level in data centers.
WANG Siqi , TU Rang , CHEN Xianzhong , et al . Thermal performance analyses and optimization of data center centralized-cooling system [J ] . Applied Thermal Engineering , 2023 , 222 : 119817 .
ABBAS A M , HUZAYYIN A S , MOUNEER T A , et al . Thermal management and performance enhancement of data centers architectures using aligned/staggered in-row cooling arrangements [J ] . Case Studies in Thermal Engineering , 2021 , 24 : 100884 .
左春帅 , 李凤勇 , 张学友 . 数据中心冷却架构对空调制冷效果影响的研究 [J ] . 建筑节能 , 2024 , 52 ( 12 ): 101 - 106 .
ZUO Chunshuai , LI Fengyong , ZHANG Xueyou . Influence of data center cooling architecture on the cooling effect of air conditioner [J ] . Building Energy Efficiency , 2024 , 52 ( 12 ): 101 - 106 .
DHARANEGOWDA C G , GOWDA B S . Investigation of single-phase immersion cooling for modern data centers [J ] . Journal of Advanced Research in Fluid Mechanics and Thermal Sciences , 2023 , 111 ( 2 ): 141 - 153 .
LIU Wei , LIAN Song , FANG Xin , et al . An open-source and experimentally guided CFD strategy for predicting air distribution in data centers with air-cooling [J ] . Building and Environment , 2023 , 242 : 110542 .
吴丹萍 . 液冷技术在数据中心的应用分析 [J ] . 中国设备工程 , 2024 ( 21 ): 222 - 224 .
WU Danping . Application analysis of liquid cooling technology in data centers [J ] . China Plant Engineering , 2024 ( 21 ): 222 - 224 .
刘圣春 , 徐智明 , 李雪强 , 等 . 单相浸没式液冷箱体关键参数的仿真研究 [J ] . 制冷学报 , 2023 , 44 ( 2 ): 159 - 166 .
LIU Shengchun , XU Zhiming , LI Xueqiang , et al . Simulation study on key parameters of single-phase liquid-cooling cabinet in data centers [J ] . Journal of Refrigeration , 2023 , 44 ( 2 ): 159 - 166 .
PAMBUDI N A , YUSUF A M , SARIFUDIN A . The use of single-phase immersion cooling by using two types of dielectric fluid for data center energy savings [J ] . Energy Engineering , 2021 , 119 ( 1 ): 275 - 286 .
QIU Delong , CAO Liqiang , WANG Qidong , et al . Experimental and numerical study of 3D stacked dies under forced air cooling and water immersion cooling [J ] . Microelectronics Reliability , 2017 , 74 : 34 - 43 .
冯帅 , 王国岩 , 何嘉俊 , 等 . 浸没式交换机液冷技术仿真与实验 [J ] . 制冷学报 , 2021 , 42 ( 3 ): 135 - 144 .
FENG Shuai , WANG Guoyan , HE Jiajun , et al . Experiment and numerical simulation of immersion liquidcooled switch [J ] . Journal of Refrigeration , 2021 , 42 ( 3 ): 135 - 144 .
SUN Xinshan , LIU Zhan , JI Shenrui , et al . Experimental study on thermal performance of a single-phase immersion cooling unit for high-density computing power data center [J ] . International Journal of Heat and Fluid Flow , 2025 , 112 : 109735 .
CHHETRI A , KASHYAP D , MALI A , et al . Numerical simulation of the single-phase immersion cool ing process using a dielectric fluid in a data server [J ] . Materials Today:Proceedings , 2022 , 51 ( Part 3 ): 1532 - 1538 .
LIONELLO M , RAMPAZZO M , BEGHI A , et al . Graph-based modelling and simulation of liquid immersion cooling systems [J ] . Energy , 2020 , 207 : 118238 .
HUANG Yongping , GE Junlei , CHEN Yongping , et al . Natural and forced convection heat transfer characteristics of single-phase immersion cooling systems for data centers [J ] . International Journal of Heat and Mass Transfer , 2023 , 207 : 124023 .
KUNCORO I W , PAMBUDI N A , BIDDINIKA M K , et al . Optimization of immersion cooling performance using the Taguchi method [J ] . Case Studies in Thermal Engineering , 2020 , 21 : 100729 .
CHENG C C , CHANG Pochun , LI H C , et al . Design of a single-phase immersion cooling system through experimental and numerical analysis [J ] . International Journal of Heat and Mass Transfer , 2020 , 160 : 120203 .
QI Wenliang , LIU Tingting , ZHANG Zichun , et al . Effect of direct liquid cooling technology with flow guide integration on avionics devices thermal and electrical performance [J ] . Journal of Thermal Science and Engineering Applications , 2023 , 15 ( 2 ): 021004 .
LIU Shengchun , XU Zhiming , WANG Zhiming , et al . Optimization and comprehensive evaluation of liquid cooling tank for single-phase immersion cooling data center [J ] . Applied Thermal Engineering , 2024 , 245 : 122864 .
LI Xueqiang , GUO Shentong , SUN Haiwang , et al . Experimental study of the performance of liquid cooling tank used for single-phase immersion cooling data center [J ] . Case Studies in Thermal Engineering , 2024 , 63 : 105386 .
WANG Ningbo , GUO Yanhua , HUANG Congqi , et al . Multi-scale collaborative modeling and deep learning-based thermal prediction for air-cooled data centers:an innovative insight for thermal management [J ] . Applied Energy , 2025 , 377 ( Part B ): 124568 .
申海东 , 张泽 , 陈科雯 , 等 . 基于双热阻模型的典型芯片封装热分析及评估方法 [J ] . 装备环境工程 , 2018 , 15 ( 7 ): 10 - 14 .
SHEN Haidong , ZHANG Ze , CHEN Kewen , et al . Thermal analysis and evaluation method of typical chip package based on double thermal resistance model [J ] . Equipment Environmental Engineering , 2018 , 15 ( 7 ): 10 - 14 .
王永康 , 张洁 , 张宇 , 等 . ANSYS Icepak电子散热基础教程 [M ] . 2版 . 北京 : 电子工业出版社 , 2019 .
陶文铨 . 传热学 [M ] . 5版 . 北京 : 高等教育出版社 , 2019 .
MENTER F R . Two-equation eddy-viscosity turbulence models for engineering applications [J ] . AIAA Journal , 1994 , 32 ( 8 ): 1598 - 1605 .
LUO Qingyi , WANG Changhong , WEN Haiping , et al . Research and optimization of thermophysical properties of sic oil-based nanofluids for data center immersion cooling [J ] . International Communications in Heat and Mass Transfer , 2022 , 131 : 105863 .
GAWANDE C A , NAKATE S M , CHAVAN P . Temperature analysis of intel server by using CFD and experimentation [J ] . International Research Journal of Engineering and Technology , 2016 , 3 ( 6 ): 2473 - 2478 .
0
浏览量
9
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621