DocumentCode
2859940
Title
A holistic and optimal approach for data center cooling management
Author
Rongliang Zhou ; Zhikui Wang ; Bash, C.E. ; McReynolds, A. ; Hoover, C. ; Shih, R. ; Kumari, N. ; Sharma, R.K.
Author_Institution
HP Labs., Hewlett Packard Co., Palo Alto, CA, USA
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
1346
Lastpage
1351
Abstract
Efficient and reliable operation of today\´s data centers, which host IT equipment with ever-increasing power density, relies heavily on the cooling system to meet the thermal management needs of the IT equipment with minimal environmental footprint. The dynamic IT workload, together with the spatial variance of cooling efficiencies, creates both temporal and spatial non-uniformities within the data centers. Most data centers use zonal cooling actuators, such as computer room air conditioners (CRAC), to alleviate the local "hot spots". Without proper localized cooling actuation mechanisms, the cooling capacity is usually over-provisioned that leads to waste of energy. To address this problem, we introduce adaptive vent tiles (AVT) for local cooling adjustment, and develop a holistic multivariable model based on the mass and energy balance principles to capture the effects of both zonal and local cooling actuation on the inlet temperatures of the racks that host the IT equipment. A model predictive controller is then proposed to minimize the total cooling power while meeting the thermal requirements of the racks. The zonal and local cooling actuation is coordinated in such a unified framework for the provisioning, transport and distribution of the cooling resources in the data centers. The proposed holistic cooling approach is validated in a production data center. Experimental results indicate that up to 36% of CRAC units blower power can be saved, compared with the state of the art control solution.
Keywords
computer centres; heat systems; optimal control; predictive control; ventilation; adaptive vent tiles; computer room air conditioner; data center cooling management; dynamic IT workload; energy balance principles; holistic multivariable model; host IT equipment; minimal environmental footprint; model predictive controller; optimal approach; thermal management; zonal cooling actuators; Cooling; Equations; Mathematical model; Optimization; Tiles; Vents;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2011
Conference_Location
San Francisco, CA
ISSN
0743-1619
Print_ISBN
978-1-4577-0080-4
Type
conf
DOI
10.1109/ACC.2011.5991575
Filename
5991575
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