数据中心空调系统效能评估与优化研究  

Study on efficiency evaluation and optimization of air conditioning system in data center

作　　者：周泉 刘芊 叶晓江[1] 侯志坚 史秋怡 ZHOU Quan;LIU Qian;YE Xiao-jiang;HOU Zhi-jian;SHI Qiu-yi

机构地区：[1]武汉工程大学光电信息与能源工程学院,湖北武汉430205 [2]深圳职业技术大学机电工程学院,广东深圳518055

出　　处：《节能》2024年第12期118-120,共3页Energy Conservation

摘　　要：针对现有数据中心空调系统能效评估不规范、控制策略不合理等问题,从效能评估、优化控制和节能措施方面开展研究,分析现有能效指标的不足,提出构建空调系统综合效能评估体系的框架和方法;介绍白箱物理模型、灰箱半理论模型和黑箱数据驱动模型在空调系统建模中的应用,结合传统控制和智能优化算法,研究空调系统优化控制策略,并总结空调系统的节能改造措施和运行优化策略。结果表明,该研究为规范数据中心空调系统效能评估、优化控制策略提供参考,对于提升数据中心能效水平、促进可持续发展具有重要的意义。Aiming at the problems such as irregular energy efficiency evaluation and unreasonable control strategy of existing air conditioning systems in data centers,this paper conducts research from the aspects of efficiency evaluation,optimization control and energy-saving measures,analyzes the shortcomings of existing energy efficiency indicators,and puts forward the framework and method of building a comprehensive efficiency evaluation system of air conditioning systems.This paper introduces the application of white box physical model,grey box semi-theoretical model and black box data-driven model in air-conditioning system modeling.Combining traditional control and intelligent optimization algorithm,this paper studies the optimal control strategy of air-conditioning system,and summarizes the energy-saving transformation measures and operation optimization strategy of air-conditioning system.The results show that this study provides a reference for regulating the efficiency evaluation and optimizing the control strategy of air conditioning systems in data centers,and is significant for improving the energy efficiency level of data centers and promoting sustainable development.

关 键 词：数据中心 空调系统 能效指标 预测模型 

分 类 号：TU831[建筑科学—供热、供燃气、通风及空调工程]