Research on Cooling Effect of Data Center Cabinet Based on on-Demand Cooling Concept
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In order to solve the problems of uneven air supply and mixing of cold and hot airflow in the data center at present. This paper proposes a cabinet with on-demand cooling function, introduces the structure and working principle of it, establishes a simulation experiment platform for simulation calculation, and studies the influence of different factors on the cooling effect. The results show that compared with the traditional cooling method, the cooling effect of this cabinet is better, the average temperature of the servers is reduced by 7.89 K; the cooling effect can be improved by increasing the air intake volume and reducing the air inlet temperature, and the influence of air temperature on the cooling effect is greater than that of air volume: every 2 K increase in inlet air temperature, the minimum intake air volume will be increased by up to 600 m3/h.
KeywordsCabinet of data center Cooling on demand Simulation Cooling effect
The authors gratefully acknowledge the support from the Natural Science Foundation of China (grant No.51778115) and the Fundamental Research Funds for the Central Universities (grant No. N182502043).
- 1.ASHRAE.: ASHRAE TC 9.9: Expanded data center classes and usage guidance, ASHRAE, Atlanta (2011)Google Scholar
- 2.Breen, T.J., et a1.: From chip to cooling tower data center modeling: part I influence of server inlet temperature and temperature rise across cabinet. In: Thermal and Thermomechanical Phenomena in Electronic Systems, Las Vegas, America, pp. 1–10 (2010)Google Scholar
- 3.Chen, J.: Application of closed cold aisle technology to data center room and simulation analysis. Heating Ventilating Air Conditioning 6, 37–40 (2015)Google Scholar
- 6.Ouchi, M., et al.: Liquid cooling network systems for energy conservation in data centers. ASME, Portland, America, pp. 443–449 (2011)Google Scholar
- 7.Udakeri, R., et al.: Comparison of overhead supply and underfloor supply with rear heat exchanger in high density data center clusters. In: Semiconductor Thermal Measurement and Management Symposium, San Jose, America, pp. 165–172 (2008)Google Scholar
- 8.Yuan, S., Lu, S.: Simulation of air distribution in data center based on thermal environment evaluation indexes. Heating Ventilating Air Conditioning 46(1), 66–72 (2016)Google Scholar