Numerical Analysis on Cooling Effect of Built-in Evaporator on Data Center Cabinet
A data center cabinet with a built-in evaporator has been proposed to reduce the energy consumption of cooling systems and improve the cooling effect. The influence of the evaporator arrangement and operating parameters on the cooling effect was evaluated by utilizing a simulation model. The results...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Journal of Refrigeration Magazines Agency Co., Ltd.
2021-01-01
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| Series: | Zhileng xuebao |
| Subjects: | |
| Online Access: | http://www.zhilengxuebao.com/thesisDetails#10.3969/j.issn.0253-4339.2021.01.074 |
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| Summary: | A data center cabinet with a built-in evaporator has been proposed to reduce the energy consumption of cooling systems and improve the cooling effect. The influence of the evaporator arrangement and operating parameters on the cooling effect was evaluated by utilizing a simulation model. The results show that the cabinet achieves the best cooling performance when an evaporator is placed in the middle of two rows of servers. The qualified coefficient of temperature is 100%, and the standard deviation and uniformity coefficient are reduced by 66.67% compared to those of the original structure (the evaporator is located under two rows of servers). When the rated air volume reaches 2 000 m3/h, a further increase in the air volume causes a slow improvement on the cooling effect. Within the range of 2 000–2 400 m3/h, the variation between the average and maximum temperatures is approximately 0.5 ℃. When the rated air pressure is 250 Pa, the cooling effect of the cabinet is the highest, and the standard deviation and uniformity coefficient are 0.66 ℃ and 0.016, respectively. As the inlet-air temperature increases from 25 °C to 29 °C, the overall temperature of the server rises, but the temperature uniformity is almost stable. The largest changes in standard deviation and uniformity coefficient are only 0.05 ℃ and 0.002, respectively. |
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| ISSN: | 0253-4339 |