数据中心空调系统节能优化  

Energy Saving Optimization of Data Center Air Conditioning System

作　　者：孟军磊[1] 吴天予 宋培元 马昕霞 MENG Junlei;WU Tianyu;SONG Peiyuan;MA Xinxia(Boiler Institute,Shanghai Electric Power Construction Start-up Adjustment Laboratory Co.,LTD.,Shanghai 200030,China;School of Energy and Mechanical Engineering,Shanghai University of Electric Power,Shanghai 200090,China;School of Management,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海电力建设启动调整试验所有限公司锅炉室,上海200030 [2]上海电力大学能源与机械工程学院,上海200090 [3]上海理工大学管理学院,上海200093

出　　处：《上海电力大学学报》2023年第4期407-413,共7页Journal of Shanghai University of Electric Power

摘　　要：当前对于空调系统前端系统和冷源系统的整体群控策略研究较少。考虑到空调系统强耦合性的特点,采用了一种大小群控相结合的策略对上海某公司数据中心的空调系统进行节能优化。通过TRNSYS软件对数据中心空调系统进行了仿真模拟,验证了系统模型的可靠性。用实例验证大小群控相结合的优化策略,结果显示,相比实际运行策略,该策略能够降低系统总能耗量约23.56%。At present,there is little research on the overall group control strategy of the front-end system and the cold source system of the air conditioning system.Considering the strong coupling of the air conditioning system,this paper adopts a strategy of combining large and small group control to save energy in the air conditioning system of a data center of a company in Shanghai.The TRNSYS software is used to simulate the air conditioning system in the data center and verifies the reliability of the system model.This case is used to verify the optimization strategy of combining large and small group control.The results show that the strategy can reduce the total energy consumption of the system by about 23.56%compared with the actual operation strategy.

关 键 词：数据中心 空调系统 群控策略 节能 

分 类 号：TU831[建筑科学—供热、供燃气、通风及空调工程]