Data center plays an increasingly important role in everyday life.As data center is becoming more and more powerful,energy consumption is also increasing dramatically.The air conditioning system occupies at least 50 p...Data center plays an increasingly important role in everyday life.As data center is becoming more and more powerful,energy consumption is also increasing dramatically.The air conditioning system occupies at least 50 percent of the total energy consumption.Therefore,delicate analysis on the air conditioning system could help to reduce energy consumption in data center.An advanced Finite Volume Method with RNG k-ε model and convective heat exchange model is used in this paper to study the airflow and the temperature distribution of modular data center under different arrangements.Specifically,the calculation formula of convective heat transfer coefficient for plate flow is adopted to simplify analysis;and fans on the back of racks are simplified to be walls with a certain pressure jump.Simulations reveal that,in the case where air conditioners are arranged face-to-face,the temperature distribution on the back of racks is not uniform,and local high temperature points emerge near the side wall of air conditioners.By analyzing the distribution of air flow and temperature,geometric model is optimized by using a diagonal rack arrangement and drilling holes on the side wall.In the same energy consumption situation,the overall maximum temperature of the optimized model is reduced by 2.3℃ compared with that of the original one,and the maximum temperature on the server surface is reduced by 1℃.Based on the optimized model,the effect of the hot aisle distance on the temperature distribution is studied.By simulating four different cases with various distances of hot aisle of 100cm,120cm,130cm and 150cm,it is found that the temperature is generally lower and distributed more evenly in the case with 120cm hot aisle distance.This demonstrates that the distance of hot aisle has an effect on temperature.展开更多
算力迭代进程中,数据中心供电负荷动态波动特性持续强化。现有模块化不间断电源(Uninterruptible Power Supply,UPS)固定冗余配置模式,无法适配负荷变化节奏,引发供电资源匹配失衡、运行稳定性受限问题。研究构建冗余配置协同优化体系,...算力迭代进程中,数据中心供电负荷动态波动特性持续强化。现有模块化不间断电源(Uninterruptible Power Supply,UPS)固定冗余配置模式,无法适配负荷变化节奏,引发供电资源匹配失衡、运行稳定性受限问题。研究构建冗余配置协同优化体系,整合负载适配约束、容量编组调控、可靠度校核、无扰切换控制4项优化策略。通过多场景对比测试完成体系验证,为数据中心供电系统资源效率与运行稳定性的平衡提供可落地的技术配置路径。展开更多
基金The authors would like to thank China Scholarship Council(CSC),Aeronautics Science Foundation(No.20163252037)Fundamental Research Funds for the Central Universities(No.NP2017202)for their support。
文摘Data center plays an increasingly important role in everyday life.As data center is becoming more and more powerful,energy consumption is also increasing dramatically.The air conditioning system occupies at least 50 percent of the total energy consumption.Therefore,delicate analysis on the air conditioning system could help to reduce energy consumption in data center.An advanced Finite Volume Method with RNG k-ε model and convective heat exchange model is used in this paper to study the airflow and the temperature distribution of modular data center under different arrangements.Specifically,the calculation formula of convective heat transfer coefficient for plate flow is adopted to simplify analysis;and fans on the back of racks are simplified to be walls with a certain pressure jump.Simulations reveal that,in the case where air conditioners are arranged face-to-face,the temperature distribution on the back of racks is not uniform,and local high temperature points emerge near the side wall of air conditioners.By analyzing the distribution of air flow and temperature,geometric model is optimized by using a diagonal rack arrangement and drilling holes on the side wall.In the same energy consumption situation,the overall maximum temperature of the optimized model is reduced by 2.3℃ compared with that of the original one,and the maximum temperature on the server surface is reduced by 1℃.Based on the optimized model,the effect of the hot aisle distance on the temperature distribution is studied.By simulating four different cases with various distances of hot aisle of 100cm,120cm,130cm and 150cm,it is found that the temperature is generally lower and distributed more evenly in the case with 120cm hot aisle distance.This demonstrates that the distance of hot aisle has an effect on temperature.
文摘算力迭代进程中,数据中心供电负荷动态波动特性持续强化。现有模块化不间断电源(Uninterruptible Power Supply,UPS)固定冗余配置模式,无法适配负荷变化节奏,引发供电资源匹配失衡、运行稳定性受限问题。研究构建冗余配置协同优化体系,整合负载适配约束、容量编组调控、可靠度校核、无扰切换控制4项优化策略。通过多场景对比测试完成体系验证,为数据中心供电系统资源效率与运行稳定性的平衡提供可落地的技术配置路径。
