Data centers cooling: A critical review of techniques, challenges, and energy saving solutions

能量(信号处理) 环境科学 核工程 计算机科学 工艺工程 工程类 物理 量子力学
作者
Ahmed A. Mohammed,Mohamed S. Salem,Osama Abdelrehim,A.A. Hegazi
出处
期刊:International Journal of Refrigeration-revue Internationale Du Froid [Elsevier BV]
卷期号:160: 246-262 被引量:115
标识
DOI:10.1016/j.ijrefrig.2024.02.007
摘要

In order to increase data centers' efficiency and performance, a proper cooling system should be applied. This article provides a comprehensive assessment which explores current cooling optimization technologies for data centers. Standard traditional technologies like air conditioning, free cooling, and liquid cooling are investigated. Their limitations as well as proposed improvements are thoroughly discussed. The article also delves into underfloor and overhead air supply technologies, presenting their advantages and drawbacks. The review introduces novel approaches at the rack level cooling, including baffles, variable airflow management, and optimal server placement. Key findings stress the efficacy of optimized airflow systems and innovative rack-level cooling, underlining their role in reducing energy consumption and enhancing overall performance. Notably, potential energy savings of up to 67.2 % compared to traditional methods are demonstrated. The adoption of advanced cooling technologies, such as direct and indirect natural cooling, liquid-cooling cold plates, submersion, heat pipe, and thermosiphon-based cooling, exhibits promising energy efficiency gains and reduced Power Usage Effectiveness (PUE) values. Research into content-specific efficiency enhancements, adaptable energy-saving tactics, and all-encompassing server power consumption models is necessary. To work toward future sustainable, energy-efficient data centers, researchers should investigate how CRACs and server fans interact, find ways to integrate thermal and power management, and how artificial intelligence can be used to cool servers in an eco-friendly way.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
梦梦熊完成签到,获得积分10
刚刚
youniverse发布了新的文献求助10
1秒前
1秒前
借过123完成签到,获得积分10
1秒前
33发布了新的文献求助30
1秒前
沿海摸鱼发布了新的文献求助10
1秒前
婷崽加油发布了新的文献求助10
3秒前
马宁婧发布了新的文献求助10
3秒前
南枝完成签到,获得积分10
4秒前
4秒前
吴所谓发布了新的文献求助60
4秒前
英俊的铭应助claire采纳,获得10
5秒前
5秒前
5秒前
molihuakai应助科研通管家采纳,获得10
5秒前
5秒前
ding应助科研通管家采纳,获得10
6秒前
6秒前
CipherSage应助科研通管家采纳,获得10
6秒前
深情安青应助科研通管家采纳,获得10
6秒前
6秒前
英姑应助科研通管家采纳,获得10
6秒前
星辰大海应助科研通管家采纳,获得10
6秒前
传奇3应助科研通管家采纳,获得10
6秒前
7秒前
7秒前
zhui发布了新的文献求助10
8秒前
9秒前
9秒前
9秒前
真王一博完成签到,获得积分10
10秒前
可冥完成签到 ,获得积分10
10秒前
10秒前
10秒前
11秒前
12秒前
13秒前
可爱的函函应助年轻怀绿采纳,获得10
13秒前
Tornacorn发布了新的文献求助10
15秒前
852应助香辣牛排采纳,获得10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
模型平均及其应用 900
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7336373
求助须知:如何正确求助?哪些是违规求助? 8950213
关于积分的说明 18992901
捐赠科研通 6989684
什么是DOI,文献DOI怎么找? 3217849
关于科研通互助平台的介绍 2383871
邀请新用户注册赠送积分活动 2197913