数据中心水冷冷源系统AI节能应用研究  

Research on AI energy-saving application of water cooling source system in data center

作　　者：陈冲 丁卫科 赵晓 CHEN Chong;DING Weike;ZHAO Xiao(China Information Consulting&Designing Institute CO.,Ltd.)

机构地区：[1]中通服咨询设计研究院有限公司

出　　处：《江苏通信》2025年第1期59-64,共6页Jiangsu Communication

摘　　要：当前国家相继出台各种措施以加快推进构建5G、人工智能、数据中心等新基建布局。作为新基建的重要一环,大型数据中心建设迎来了蓬勃发展。与此同时,随着国家“双碳”政策的出台,数据中心节能降碳的需求日益急迫。在大型数据中心的能耗中,空调系统的能耗仅次于IT设备,是节能潜力最大的部分。因此,空调系统成为首要考虑的节能对象。本文以数据中心常用的水冷冷源空调系统为研究对象,通过分析节能的关键参数,提出基于AI技术的水冷冷源节能解决方案。同时结合实际项目案例的应用结果表明,部署该系统后,水冷冷源系统的年节能率约11.2%,为后续数据中心节能提供参考。Currently,the government has successively implemented various measures to accelerate the development of new infrastructure such as 5G,artificial intelligence,and data centers.As a crucial component of the new infrastructure,the construction of large data centers has witnessed vigorous development.At the same time,with the introduction of the national"dual-carbon"policy,the demand for energy conservation and carbon reduction in data centers has become increasingly urgent.Among the energy consumption of large data centers,the energy consumption of air conditioning systems is second only to IT equipment,making it the area with the greatest potential for energy savings.Therefore,the air conditioning system should be prioritized for energy-saving initiatives.This paper focuses on the commonly used water-cooled chiller systems in data centers as the research object,proposes a water-cooled chiller energy-saving solution based on AI technology through research and analysis of key parameters for energy savings.At the same time,combined with practical project case applications,the results show that the annual energy-saving rate of the water-cooled chiller system after deployment is about 11.2%,providing a certain reference significance for subsequent data center energy conservation.

关 键 词：数据中心 冷水系统 节能控制 AI技术 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]