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作 者:刘宏伟 黄国瑞 白聚莹 赵耀[1] 代彦军[1] LIU Hongwei;HUANG Guorui;BAI Juying;ZHAO Yao;DAI Yanjun(Institute of Refrigeration and Cryogenics,Shanghai Jiao Tong University,Shanghai 200240,China)
机构地区:[1]上海交通大学制冷与低温研究所,上海200240
出 处:《制冷技术》2023年第5期66-72,共7页Chinese Journal of Refrigeration Technology
基 金:上海市科学技术委员会(No.19DZ1208603)。
摘 要:本文以上海某典型风冷精密空调数据中心机房为对象,根据上海地区环境气候和数据中心的节能需求及特点,利用TRNSYS平台搭建了该数据中心全年动态能耗模型以及能源系统模型,对其能耗进行仿真模拟。研究了应用氟泵自然冷却技术、气流组织改善优化、光伏发电技术、峰谷蓄电储能技术和照明改造等各项节能措施对该数据中心能耗的影响,分析了不同节能技术对数据中心能源利用效率(PUE)的影响。结果表明:采取以上措施进行改造后,该风冷精密空调数据中心的综合PUE从1.75降低至1.385。其中,采用氟泵自然冷却技术、改善气流组织和照明改造共使PUE降低了0.32,光伏储能系统改造使得综合PUE降低了0.035。In view of the environmental climate in Shanghai and the energy-saving requirements and characteristics of data centers,a typical air-cooled precision air conditioning data center room in Shanghai is taken as the object.The TRNSYS platform is used to build the data center's annual dynamic energy consumption model and energy system model,and to simulate its energy consumption.The impact of various energy-saving measures such as the application of fluorine pump natural cooling technology,airflow organization improvement and optimization,photovoltaic power generation technology,peak-to-valley energy storage technology and lighting transformation on the energy consumption of the data center is studied.The impact of different energy-saving technologies on the power usage effectiveness(PUE)of data centers is analyzed.The results show that:after taking the above measures to transform,the comprehensive PUE of the air-cooled precision air-conditioning data center is reduced from 1.75 to 1.385.Adopting fluorine pump natural cooling technology,improving airflow organization and lighting transformation reduce the energy efficiency PUE by 0.32.The transformation of photovoltaic energy storage system can reduce the comprehensive energy utilization efficiency PUE by 0.035.
分 类 号:TB611[一般工业技术—制冷工程] TU244.5[建筑科学—建筑设计及理论]
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