Abstract

In order to make data centers meet the requirements of green data center standards, this paper starts with air conditioning systems with high energy consumption, and dynamically optimizes airflow organization. It uses limited space convection heat transfer and air kinematics to dissipate multiple processes in the data center. The process is solved by MATLAB optimization and reverse demonstration. In this paper, the influence of cold air flow on cabinet cooling is divided into four key processes: mixing loss during descent, convective heat transfer in descending process, the convection heat exchange during the steady flow process, and mixed airflow discharge. By analyzing the temperature change of cold airflow in each process, and seeking the relationship between velocity v and air resistance F in viscous gas flow, the temperature-velocity relationship is obtained. Then the relationship between cold loss, PUE value and indoor height of the data center was analyzed to obtain the ceiling height corresponding to the standard cabinet height. The best combination is the ceiling height of 3.5m and the cabinet height of 2m and the corresponding PUE value is about 1.87, which meets the requirements of green data centers and is highly economical.

Highlights

  • With the continuous deepening and development of network and informatization construction, the number of various IT equipment continues to increase

  • For the improvement of the energy consumption of the refrigeration system during the construction of the green data center, through the solution and verification of the model, the following conclusions are obtained: 1) Different cabinet height series correspond to different ceiling height values

  • When the ceiling height is in the range of 3.4m-3.6m, the data center has a relatively high cooling efficiency

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Summary

Introduction

With the continuous deepening and development of network and informatization construction, the number of various IT equipment continues to increase. Specific to China's data centers, the total number has exceeded 400,000, and the annual power consumption exceeds 1.5% of the entire society's power consumption. Most of these data centers have a PUE (Power Usage Effectiveness) value greater than 2.21, which is in line with international advanced levels. This article starts with improving the airflow organization, and by optimizing the installation height of the air-conditioning air outlets in the data center and improving the efficiency of the refrigeration system in the computer room, thereby reducing the energy consumption of refrigeration equipment, to serve the industry's green data center construction

PUE value and energy factor analysis
Geometric Space in the Data Center
Temperature model of cold airflow
Velocity model of cold airflow
Effective cooling efficiency model
Efficiency and PUE solution for each height series
Findings
Conclusion
Full Text
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