Energy efficiency optimization of an integrated heat pipe cooling system in data center based on genetic algorithm

被引：48

作者：

He, Zhiguang ^{[1
]}

Xi, Haonan ^{[1
]}

Ding, Tao ^{[1
]}

Wang, Jianmin ^{[2
]}

Li, Zhen ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Engn Mech, Key Lab Thermal Sci & Power Engn, Minist Educ, Beijing 100084, Peoples R China

[2] CNPC Beijing Richfit Informat Technol Co LTD, Beijing 1000007, Peoples R China

来源：

APPLIED THERMAL ENGINEERING | 2021年 / 182卷

基金：

国家重点研发计划;

关键词：

Cooling system; Data center; Energy efficiency optimization; Genetic algorithm; RACK; DESIGN; POWER;

D O I：

10.1016/j.applthermaleng.2020.115800

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The energy consumption of data centers has become an increasing concern in the whole world. Actually, the cooling system consumes the most energy among the auxiliary facilities. An integrated heat pipe cooling system has been proposed to reduce the energy consumption of cooling system by using natural cooling sources in our previous work. However, it still has huge energy-saving potential in the operating process. In this paper, the heat transfer model and energy consumption model of the integrated heat pipe cooling system was established to describe the relationship between operating parameters and energy efficiency. Based on genetic algorithm, energy efficiency optimization operation strategy was calculated at different load rates and outdoor ambient temperature. An experiment was carried out to verify the accuracy of the optimization algorithm. Compared with the previous work, the energy efficiency ratio of the integrated heat pipe cooling system can be improved by 2-3 times in natural cooling model and integrated cooling mode after energy efficiency optimization. The switching rules of the system's operating mode was studied, and analyzed the energy-saving effects of application in different climate cities.

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