面向数据中心的功冷联供系统性能分析和优化  

Performance analysis and optimization of a combined power and cooling system for data center

作　　者：张开帆 于泽庭[1] 孙景怡 崔波 Zhang Kaifan;Yu Zeting;Sun Jingyi;Cui Bo(School of Energy and Power Engineering,Shandong University,Jinan 250061,China;Shandong Xin'guang Energy-saving Technology Co.Ltd.,Yantai 264000,China)

机构地区：[1]山东大学能源与动力工程学院,济南250061 [2]山东鑫光节能科技有限公司,烟台264000

出　　处：《低温与超导》2024年第12期1-9,共9页Cryogenics and Superconductivity

基　　金：国家自然科学基金(62192753)资助。

摘　　要：为了降低数据中心能耗,本文提出一种面向数据中心的太阳能驱动功冷联供系统,建立了联供系统的热力学模型和[火用]分析模型,分析了太阳辐照强度、涡轮机入口温度、发生器热源入口温度等对系统性能的影响。结果表明:在设计工况下,该联供系统的总能利用效率和[火用]效率分别为30.59%和20.71%;当发生器热源入口温度>385 K时,系统制冷效率增速放缓,在412 K时出现最大值。此外,引入遗传算法对系统进行性能优化,系统总能效率和系统净输出功分别提高13.435%和61.94%。In order to reduce the energy consumption of data center,a solar energy-driven combined cooling and power supply system for data center application was proposed,and the thermodynamic model and exergy analysis model for the proposed system were established.The effects of key parameters,such as solar radiation intensity,turbine inlet temperature and generator heat source inlet temperature on the system performance,have been investigated.The results show that the total energy utilization efficiency and exergy efficiency are 30.59%and 20.71%,respectively,under the design conditions.When the inlet temperature of the generator heat source is higher than 385 K,the cooling efficiency of the system slows down and reaches the maximum at 412 K.In addition,after the optimization algorithm for the performance of the system,and the total energy efficiency and net out⁃put work of the system are improved by 13.435%and 61.94%respectively.

关 键 词：功冷联供系统 数据中心 节能 太阳能利用 遗传算法 

分 类 号：TB659[一般工业技术—制冷工程]