Research Papers

Measurement of Air Flow Rate Sensitivity to the Differential Pressure Across a Server Rack in a Data Center

[+] Author and Article Information
Vaibhav K. Arghode

George W. Woodruff School
of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: vaibhav.arghode@gmail.com

Yogendra Joshi

George W. Woodruff School
of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332

1Corresponding author.

Contributed by the Electronic and Photonic Packaging Division of ASME for publication in the JOURNAL OF ELECTRONIC PACKAGING. Manuscript received December 11, 2014; final manuscript received July 10, 2015; published online July 28, 2015. Assoc. Editor: Pradip Dutta.

J. Electron. Packag 137(4), 041002 (Jul 28, 2015) (6 pages) Paper No: EP-14-1112; doi: 10.1115/1.4031079 History: Received December 11, 2014

Presently, air cooling is the most common method of thermal management in data centers. In a data center, multiple servers are housed in a rack, and the racks are arranged in rows to allow cold air entry from the front (cold aisle) and hot air exit from the back (hot aisle), in what is referred as hot-aisle-cold-aisle (HACA) arrangement. If the racks are kept in an open room space, the differential pressure between the front and back of the rack is zero. However, this may not be true for some scenarios, such as, in the case of cold aisle containment, where the cold aisle is physically separated from the hot data center room space to minimize cold and hot air mixing. For an under-provisioned case (total supplied tile air flow rate < total rack air flow rate) the pressure in the cold aisle (front of the rack) will be lower than the data center room space (back of the rack). For this case, the rack air flow rate will be lower than the case without the containment. In this paper, we will present a methodology to measure the rack air flow rate sensitivity to differential pressure across the rack. Here, we use perforated covers at the back of the racks, which results in higher back pressure (and lower rack air flow rate) and the corresponding sensitivity of rack air flow rate to the differential pressure is obtained. The influence of variation and nonuniformity in the server fan speed is investigated, and it is observed that with consideration of fan laws, one can obtain results for different average fan speeds with reasonable accuracy. The measured sensitivity can be used to determine the rack air flow rate with variation in the cold aisle pressure, which can then be used as a boundary condition in computational fluid dynamics (CFD)/rapid models for data center air flow modeling. The measured sensitivity can also be used to determine the change in rack air flow rate with the use of different types of front/back perforated doors at the rack. Here, the rack air flow rate is measured using an array of thermal anemometers, pressure is measured using a micromanometer, and the fan speed is measured using an optical tachometer.

Copyright © 2015 by ASME
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Joshi, Y. , and Kumar, P. , 2012, Energy Efficient Thermal Management of Data Centers, Springer, New York.
Patankar, S. V. , 2010, “Airflow and Cooling in a Data Center,” ASME J. Heat Transfer, 132(7), p. 073001. [CrossRef]
Arghode, V. K. , Sundaralingam, V. , Joshi, Y. , and Phelps, W. , 2013, “Thermal Characteristics of Open and Contained Data Center Cold Aisle,” ASME J. Heat Transfer, 135(6), p. 061901. [CrossRef]
Sundaralingam, V. , Arghode, V. K. , Joshi, Y. , and Phelps, W. , 2014, “Experimental Characterization of Various Cold Aisle Containment Configurations for Data Centers,” ASME J. Electron. Packag., 137(1), p. 011007. [CrossRef]
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Fig. 4

Details of the server simulator server rack under investigation: (a) server simulator rack and (b) measured fan speed. Nonuniformity within ±10%.

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Fig. 3

Effect of fan speed on the slope (S) for a typical server rack: (a) air flow characteristics at two different fan speeds (N), here N1 < N2 and (b) relation of slope (S) with the fan speed (N)

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Fig. 2

Measurement of slope (S) or air flow rate sensitivity to the differential pressure for a typical server rack: (a) rack air flow characteristics with posterior cover, (b) without posterior cover, and (c) with posterior cover

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Fig. 1

Air flow characteristics of a server rack: (a) typical server rack air flow characteristics and (b) schematic of a server rack

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Fig. 5

Rack air flow rate measurement tool: (a) front view of the tool, (b) calibration of the tool, and (c) tool attached to the back of a rack

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Fig. 6

Test setup for the use of rack posterior covers to measure the slope (S): (a) no tool, (b) only tool, (c) cover + tool, and (d) details of the posterior covers. Cover 1—porosity, Fv = 40%; hole size, D = 1/8 in. (3.18 mm); hole center spacing, P = 3/16 in. (4.76 mm); sheet thickness, H = 1/8 in. (3.18 mm); sheet size, W × L × # = 2 ft (0.6 m) × 2 ft (0.61 m) × 3; pattern = staggered; and area, A = 12 ft2 (1.11 m2). Cover 2—porosity, Fv = 20%; hole size, D = 1/4 in. (6.35 mm); hole center spacing, P = ½ in. (12.7 mm); sheet thickness, H = 1/8 in. (3.18 mm); sheet size, W × L × # = 2 ft (0.6 m) × 2 ft (0.61 m) × 3; pattern = straight; and area, A = 12 ft2 (1.11 m2).

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Fig. 7

Measured slope (S) for a range of fan speeds: (a) rack air flow characteristics, (ΔPr = S × Q + T) and (b) variation of slope (S) for different fan speeds

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Fig. 8

Effect of tool resistance on the rack air flow rate: (a) reduction in air flow rate due to tool resistance and (b) estimating the actual rack air flow rate (without the tool)

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Fig. 9

Measured slope (S) for nonuniform server air flow rates: (a) effect of nonuniform fan speeds and (b) different cases investigated




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