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基于自然冷源应用的数据中心节能潜力研究
Alternative TitleStudy on the energy-saving potential of natural cold sources in data centers
董凯军1; 李平界1,2; 吕太2; 苏林1; 刘腾庆1; 孙钦1
2017-09
Source Publication可再生能源
ISSN1671-5292
Volume35Issue:9Pages:1411-1416
Abstract数据中心高能耗问题大大阻碍了信息产业的发展,自然冷源利用是实现数据中心节能降耗的关键技术手段。文章以数据中心自然冷源利用为研究对象,确定了蒸发冷却间接供冷方式下自然冷源利用临界湿球温度的推荐值;分析了全国主要气候区自然冷源利用潜力;提出了自然冷源利用敏感性的概念;以夏热冬暖地区某典型数据中心为例进行了自然冷源利用的节能效果分析。结果表明:数据中心自然冷源利用的临界湿球温度上限为16℃时,全国大部分地区的自然冷源可利用率超过50%;温和地区自然冷源敏感性最高;夏热冬暖地区数据中心利用自然冷源时,全年综合COP值可提高23.7%,节能率为19.2%。
Other AbstractThe high energy consumption of data center presents a major barrier to the development of information industry,while the utilization of natural cold sources is very important to realize energysaving and consumption-reduction.This paper mainly studies the utilization of natural cold sources in data center.The recommended values of the critical wet bulb temperature of natural cold sources under evaporative cooling conditions are determined.The utilizing potential of natural cold source in major climate regions of China is analyzed in detail.Moreover,the concept of natural cold source sensitivity is introduced.In addition,a typical data center in hot summer and warm winter zone is taken as an example to analyze the energy-saving effect of natural sold sources.The result indicates that natural cold source utilizing ratio in data centers exceeds 50% in most regions at a critical wet bulb temperature of 16 ℃.However,the temperate region had the highest sensitivity concerning the natural cold source.Annual comprehensive COP value of data centers increases by 23.7%,and the energy saving rate is about 19.2% when using natural cold sources in hot summer and warm winter zone.
Keyword数据中心 自然冷源 敏感性 COP 节能率 data center natural cold source sensitivity COP energy efficiency
DOI10.13941/j.cnki.21-1469/tk.2017.09.023
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.giec.ac.cn/handle/344007/16601
Collection中国科学院广州能源研究所
Affiliation1.中国科学院广州能源研究所,广东广州510640;
2.东北电力大学,吉林吉林132012
First Author AffilicationGuangZhou Institute of Energy Conversion,Chinese Academy of Sciences
Recommended Citation
GB/T 7714
董凯军,李平界,吕太,等. 基于自然冷源应用的数据中心节能潜力研究[J]. 可再生能源,2017,35(9):1411-1416.
APA 董凯军,李平界,吕太,苏林,刘腾庆,&孙钦.(2017).基于自然冷源应用的数据中心节能潜力研究.可再生能源,35(9),1411-1416.
MLA 董凯军,et al."基于自然冷源应用的数据中心节能潜力研究".可再生能源 35.9(2017):1411-1416.
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