| Data center,as the carrier of data storage,analysis and calculation,is one of the key construction points of the 14th Five-Year Plan.However,the problem of energy consumption in high-power data centers has become increasingly prominent.How to reduce energy consumption and improve energy efficiency has become an urgent problem in the process of data center development.Research shows that the unbalanced air distribution in the cold channel of data center is one of the important reasons for energy waste.The energy efficiency level of data centers in China is relatively low,which has great energy saving potential.Reducing energy consumption of data centers is an important direction for China’s energy conservation and emission reduction in the future.In order to improve the thermal management of the data center and reduce the energy consumption,this paper starts with the optimization of the air distribution inside the data center and introduces the U-shaped flow channel and the auxiliary fan.The research contents of this paper mainly include the following aspects:Computational fluid dynamics(CFD)method was used to analyze the optimization effect of U-shaped flow channel on thermal management of data center.The influence of different U-shaped flow channels on the temperature characteristics of the rack inlet,the temperature characteristics of the cold channel and the air flow characteristics of the cold channel are mainly studied.The research shows that the introduction of U-shaped flow channel can alleviate the hot spot problem of the rack near the air conditioning unit to a large extent.The temperature field in the cold channel tends to be uniform with the increase of the outlet of the U-shaped flow channel.Based on the optimization effect of U-shaped flow channel,the auxiliary fan is introduced to control the air distribution in the cold channel more finely.The influence of the outlet flow rate of the auxiliary fan on the temperature characteristics of the rack inlet is studied when different U-shaped flow channels are used.The results show that the hot spot temperature can be further reduced by using an auxiliary fan.In addition,with the increase of the outlet size of the U-shaped Channel,the optimal fan outlet flow rate also increases.The sectional size of U-shaped Channel and the air flow rate of auxiliary fan were taken as independent variables.The response surface method(RSM)was used to optimize the solution.The optimal combination scheme was found,the optimal scheme was simulated,and the thermal management evaluation of the scheme was carried out.Firstly,based on the Box-Behnken design,the experimental design of three factors and three levels of independent variables was carried out.Select the highest inlet temperature of the rack as the response.The response surface fitting,variance analysis and response surface optimization were carried out with Design-Expert software.Then the minimum point of the response surface is obtained.The optimal combination scheme of independent variable factors is as follows:the size of the first section of the U-shaped flow channel in the x direction is 1.056m,the size in the y direction is 1.082m,and the output air flow of the auxiliary fan is 1.042m3/s.Numerical simulation was carried out for the optimal solution,and the response value under the independent variable factor was solved in reverse,which proved that the optimal solution of response surface method was reliable.The optimal scheme was compared with the initial scheme in two aspects of evaluation index and air-conditioning refrigeration energy consumption.It is found that the optimal scheme can effectively reduce the energy consumption of air conditioning in data center room and improve the energy utilization rate.By optimizing the design of data center,this paper provides a way to reduce the energy consumption and improve the energy efficiency of data center.The U-shaped flow-auxiliary fan modeling strategy is adopted to optimize the thermal management of data center,which has a guiding significance to eliminate the hot issues in actual data center.At the same time,it provides a good idea for the promotion of energy conservation and emission reduction in the data center. |