Thermal Performance and Efficiency of a Mineral Oil Immersed Server Over Varied Environmental Operating Conditions
Thermal Performance and Efficiency of a Mineral Oil Immersed Server Over Varied Environmental Operating Conditions
复制标题
矿物油浸入式服务器在各种环境操作条件下的热性能和效率
DOI:
10.1115/1.4037526
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发表时间:
2017
影响因子:
1.6
通讯作者:
Mulay, Verrendra
中科院分区:
文献类型:
--
作者:
Eiland, Richard;Edward Fernandes, John;Vallejo, Marianna;Siddarth, Ashwin;Agonafer, Dereje;Mulay, Verrendra
Complete immersion of servers in dielectric mineral oil has recently become a promising technique for minimizing cooling energy consumption in data centers. However, a lack of sufficient published data and long-term documentation of oil immersion cooling performance make most data center operators hesitant to apply these approaches to their mission critical facilities. In this study, a single server was fully submerged horizontally in mineral oil. Experiments were conducted to observe the effects of varying the volumetric flow rate and oil inlet temperature on thermal performance and power consumption of the server. Specifically, temperature measurements of the central processing units (CPUs), motherboard (MB) components, and bulk fluid were recorded at steady-state conditions. These results provide an initial bounding envelope of environmental conditions suitable for an oil immersion data center. Comparing with results from baseline tests performed with traditional air cooling, the technology shows a 34.4% reduction in the thermal resistance of the system. Overall, the cooling loop was able to achieve partial power usage effectiveness (pPUECooling) values as low as 1.03. This server level study provides a preview of possible facility energy savings by utilizing high temperature, low flow rate oil for cooling. A discussion on additional opportunities for optimization of information technology (IT) hardware and implementation of oil cooling is also included.
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DOI:
10.1145/2063384.2063420
发表时间:
2011
期刊:
2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
影响因子:
--
作者:
E. Frachtenberg;A. Heydari;Harry C. Li;Amir Michael;Jacob Na;A. Nisbet;P. Sarti
通讯作者:
P. Sarti
DOI:
--
发表时间:
2010
期刊:
2010 26th Annual IEEE Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM)
影响因子:
--
作者:
P. Tuma
通讯作者:
P. Tuma
DOI:
10.1016/j.ijheatmasstransfer.2006.08.005
发表时间:
2007-03-01
影响因子:
5.2
作者:
Arik, Mehmet;Bar-Cohen, Avram;You, Seung Mun
通讯作者:
You, Seung Mun
影响因子:
10.4
作者:
El-Genk, Mohamed S.
通讯作者:
El-Genk, Mohamed S.
DOI:
--
发表时间:
2016
期刊:
International Journal of High Performance Computing and Networking
影响因子:
--
作者:
S. Ovaska;Roy E. Dragseth;Svenn A. Hanssen
通讯作者:
Svenn A. Hanssen