Variable-Speed Compressor Enabled Energy Efficient Cooling of Blade Servers.
Chan, George.
2017-04-18T13:54:18.417Z
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Abstract: Largely due to the power consumption of their thermal management systems, data centers, consume over 2% of the electricity produced in the United States. Therefore a fundamental understanding of data center energy management is both environmentally and economically important. In previous work, models were developed to explore the energy consumption of the thermal management. Both convent... read moreional air-cooling and hybrid cooling, where microprocessors are liquid cooled and other components are air cooled, were considered. These models were based on chillers which are not optimal for demonstrating energy savings as the compressor is not variable speed and thus consumes essentially the same amount of energy irrespective of its set point. In addition, the analytical models include several oversimplifications especially with respect to the chiller sub-models (e.g., compressor work computation and heat transfer characteristics of the condenser, etc.). The analytical model developed in this thesis was based on the physical properties and operating characteristics of real world components, which were validated and integrated based on thermo-fluid principles. As a result of exercising the model between the air-cooled and hybrid cooled systems it was found that the refrigerant mass flow rate can be reduced by 40-50% or an energy savings of up to 420 W. This relationship is similar to the previous work conducted by Hwang, however the amount of savings is different due to modeling real world components. Additionally the model demonstrates the sensitivity to ambient air temperature, as temperature was increased from 20 ºC to 40 ºC, through a 58% reduction in system performance or an increase in compressor work from 224 W to 525 W. The model also revealed various relationships between the system performance as related to the system pressure rise and the refrigerant mass flow rate. The integrated analytical model shows there are opportunities for energy reduction in the thermal management systems for data centers. Additionally this thesis demonstrates the importance of component sizing, and the impact ambient air temperature has on system performance. Finally this model found that the system performance was a function of both the pressure rise over the compressor and the refrigerant mass flow rate.
Thesis (M.S.)--Tufts University, 2011.
Submitted to the Dept. of Mechanical Engineering.
Advisors: Marc Hodes, and Vincent Manno.
Committee: Alan Lyons.
Keywords: Mechanical Engineering, and Energy.read less - ID:
- cj82kk80z
- Component ID:
- tufts:20770
- To Cite:
- DCA Citation Guide EndNote
