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能源互联网下的数据中心能量管理综述 被引量:26

Review of energy management for data centers in energy internet
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摘要 数据中心在大数据时代扮演重要角色,随着数据中心的持续铺开建设,其高能耗问题日益凸显,能量管理由此成为了数据中心产业关注的焦点。在能源互联网环境下,数据中心将会拥有更多样化的供能选择,可以发掘更灵活高效的能量管理方式,其仅依靠电能的能量管理模式将发生根本性变革。从能源互联网视角出发,对数据中心能量管理相关研究和实践进行了综述。首先梳理了数据中心的结构层次与设备组成,总结了数据中心的能耗结构、能量效率和能耗模型;然后在此基础上深入分析了数据中心在能源互联网背景下的能量管理方法,并总结了国内外相关的数据中心项目实践;最后探讨了未来实现能源互联网背景下数据中心能量管理的挑战和难点。 Data centers play an important role in the big data era.With the continuous expansion of data centers,the problem of their huge energy consumption has attracted a lot of attention and thus the energy management has become a major focus for data center industry.In the energy internet environment,data centers are expected to have more diversified choices to gain energy supply,discover more flexible and effi⁃cient energy management methods,and their energy management modes that only rely on electricity could be reformed fundamentally.From a new perspective of energy internet,the research and practice related to the energy management for data centers are reviewed.Firstly,the service structure and the infrastructure of data centers are discussed.Then,the energy consumption structure,energy efficiency and energy consump⁃tion model of data centers are provided.Afterwards,the energy management methods of data centers in the context of energy internet are analyzed in detail.At last,the challenges and difficulties of energy manage⁃ment for data centers in the context of energy internet in the future are discussed.
作者 冯成 王毅 陈启鑫 张轩 罗钢 FENG Cheng;WANG Yi;CHEN Qixin;ZHANG Xuan;LUO Gang(State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment,Tsinghua University,Beijing 100084,China;ETH Zurich,Zurich 8092,Switzerland;Power Dispatch and Control Centre,Guangdong Power Grid Co.,Ltd.,Guangzhou 510699,China)
出处 《电力自动化设备》 EI CSCD 北大核心 2020年第7期1-9,共9页 Electric Power Automation Equipment
基金 国家重点研发计划项目(2016YFB0900100) 广东省重点领域研发计划项目(2019B111109002) 广东电网科技项目(036000KK52180031)。
关键词 数据中心 能源互联网 能量管理 能耗模型 需求响应 data center energy internet energy management energy consumption model demand response
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