Research On Air Distribution And Energy Analysis In Data Centers Of Fan Wall

With the development of economic, the heat density of data center room continues to increase, and the energy construction is growing rapidly. In order to greatly improve the energy efficiency levels and reduce PUE values, the energy efficiency of data center is particularly urgent. Combining with uncertain practical data center of fan wall container,taking the main line of the analysis of air distribution of data center and its energy consumption, this paper aims to make the thermal simulation design of the experimental platform of the data center of fan wall container, the analysis of its energy consumption and the characteristic analysis of air distribution of data center of fan wall. All the above try to provide reference and basis for the construction as well as the energy conservation of the actual data center. The main contents are as follows:The first is the thermal simulation design of the experiment platform of the data center of fan wall container. This section describes the structure and mode of operation of the experiment platform of the data center in detail, designs the pipe and selects the fan according to the requirement, compares and chooses right CFD software for thermal simulation analysis to the experiment platform of the data center of fan wall container,which analyzing the velocity and temperature distribution of data center in the four different conditions, including outdoor air mode, chilled water cooling mode, fresh air and chilled water parallel cooling mode and mixed air mode. Finally, designing some experimental cases to experiment platform for field testing under the chilled water cooling mode,analyzing and comparing with the measured values and simulation values, verifying the reasonableness of CFD numerical simulation model, indicating CFD software6 Sigma Room is feasible on ventilation design, optimizer and forecast in the data center.The next is the characterization of air distribution in the data center of fan wall. This section leads to the superiority of blowing by fan wall to a real large-scale IDC compared with blowing under way through the introduction of the form of air distribution in data centers, and focuses on the effect of the number of fans, the air supply of fan wall and the distance between fans and racks for the air distribution of fan wall, and based on which defines new parameters, Air Distribution Concentration Parameter A and the Stationary Blowing Distance of Fan Wall, judging the air distribution of fan wall. The bigger the Air Distribution Concentration Parameter A, the greater the Stationary Blowing Distance of Fan Wall, the better the air distribution of fan wall.The last is the analysis of energy consumption of data center of fan wall container. Against the characteristics of the airflow of the experiment platform of data center of fan wall container, combining with the outdoor air control logic of the experimental platform,designing experiments that the experimental platform runs under the outdoor air mode and chilled water cooling mode, observing their energy usage, calculating PUE, all the above aims to analyze each part of the energy variation with time and each proportion of their total energy consumption under different operating modes. And then designing experiments that the experimental platform runs in the default parameters and under the typical weather conditions, observing energy usage, analyzing the distribution and law of energy consumption of experimental platform in the various operating modes and different weather conditions. Then based on which the measured data will be on a in-depth data mining and analysis, studying each component of energy consumption changes with weather conditions.