The increase in the number of data centers in the last decade, combined with higher power density racks, has led to a significant increase in the associated total electricity consumption, which is compounded by cooling inefficiencies. Issues, such as hot air recirculation in the data center room environment, provide substantial challenges in thermal manageability. Three operational data centers have been studied to identify the cooling issues. Field measurements of temperature were obtained and were compared to numerical simulations to evaluate the overall thermal behavior of the data centers and to identify the thermal issues.

References

References
1.
Whitney
,
J.
, and
Delforge
,
P.
,
2014
, “
Data Center Efficiency Assessment_Scaling Up Energy Efficiency Across the Data Center Industry: Evaluating Key Drivers and Barriers
,” NRDC-Anthesis,
Report No. IP:14-08-A
.
2.
Koomey
,
J. G.
,
2011
, “
Growth in Data Center Electricity Use 2005 to 2010
,”
Analytics Press
, Burlingame, CA.
3.
Jung
,
P.
,
2012
, “
GeSI SMARTer 2020: The Role of ICT in Driving a Sustainable Future
,”
Global e-Sustainability Initiative
, Brussels, Belgium, pp. 1–243.
4.
Schmidt
,
R.
,
Chu
,
R. C.
,
Ellsworth
,
M.
,
Iyengar
,
M.
,
Porter
,
D.
,
Kamath
,
V.
, and
Lehman
,
B.
,
2005
, “
Maintaining Datacom Rack Inlet Air Temperatures With Water Cooled Heat Exchanger
,”
ASME
Paper No. IPACK2005-73468.
5.
Schmidt
,
R.
, and
Iyengar
,
M.
,
2005
, “
Effect of Data Center Layout on Rack Inlet Air Temperatures
,”
ASME
Paper No. IPACK2005-73385.
6.
Felter
,
W. M.
,
Keller
,
T. W.
,
Kistler
,
M. D.
,
Lefurgy
,
C.
,
Rajamani
,
K.
,
Rajamony
,
R.
,
Rawson
,
F. L.
,
Smith
,
B. A.
, and
Van Hensbergen
,
E.
,
2003
, “
On the Performance and Use of Dense Servers
,”
IBM J. Res. Dev.
,
47
(
5.6
), pp.
671
689
.
7.
Hannaford
,
P.
,
2006
, “
Ten Cooling Solutions to Support High-Density Server Deployment
,” American Power Conversion (
APC
), West Kingston, RI.
8.
Pecht
,
M.
,
Das
,
D.
, and
Ramakrishnan
,
A.
,
2002
, “
The IEEE Standards on Reliability Program and Reliability Prediction Methods for Electronic Equipment
,”
Microelectron. Reliab.
,
42
(
9–11
), pp.
1259
1266
.
9.
Dunlap
,
K.
, and
Rasmussen
,
N.
,
2006
, “
The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers
,” American Power Conversion (
APC
), West Kingston, RI, White Paper No. 130.
10.
Evans
,
T.
,
2006
, “
Explanation of Cooling and Air Conditioning Terminology for IT Professionals
,” American Power Conversion (
APC
), West Kingston, RI, White Paper No. 11.
11.
Khalifa
,
H. E.
, and
Demetriou
,
D. W.
,
2011
, “
Energy Optimization of Air-Cooled Data Centers
,”
ASME J. Therm. Sci. Eng. Appl.
,
2
(4), p.
041005
.
12.
Abdelmaksoud
,
W. A.
,
Dang
,
T. Q.
,
Khalifa
,
H. E.
, and
Schmidt
,
R. R.
,
2013
, “
Improved Computational Fluid Dynamics Model for Open-Aisle Air-Cooled Data Center Simulations
,”
ASME J. Electron. Packag.
,
135
(
3
), p.
030901
.
13.
Samadiani
,
E.
,
Joshi
,
Y.
, and
Mistree
,
F.
,
2008
, “
The Thermal Design of a Next Generation Data Center: A Conceptual Exposition
,”
ASME J. Electron. Packag.
,
130
(
4
), p.
041104
.
14.
Beaty
,
D.
, and
Davidson
,
T.
,
2005
, “
Datacom Airflow Patterns
,”
ASHRAE J.
,
47
(
4
), pp.
50
54
.
15.
Qinghui
,
T.
,
Gupta
,
S. K. S.
, and
Varsamopoulos
,
G.
,
2008
, “
Energy-Efficient Thermal-Aware Task Scheduling for Homogeneous High-Performance Computing Data Centers: A Cyber-Physical Approach
,”
IEEE Trans. Parallel Distrib. Syst.
,
19
(
11
), pp.
1458
1472
.
16.
Hannaford
,
P.
,
2005
, “
Ten Steps to Solving Cooling Problem Caused by High-Density Server Deployment
,” Twenty-Seventh International Telecommunications Conference (
INTELEC
), Berlin, Sept. 18–22.
17.
Mikjaniec
,
T.
,
Manning
,
A.
, and
Small
,
D.
,
2011
, “
Data Center Design Using Improved CFD Modeling and Cost Reduction Analysis
,”
27th Annual IEEE Semiconductor Thermal Measurement and Management Symposium
(
SEMI-THERM
), San Jose, CA, Mar. 20–24, pp.
97
103
.
18.
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
.
19.
Arghode
,
V. K.
, and
Joshi
,
Y.
,
2014
, “
Room Level Modeling of Air Flow in a Contained Data Center Aisle
,”
ASME J. Electron. Packag.
,
136
(
1
), p.
011011
.
20.
Khalaj
,
A. H.
,
Scherer
,
T.
,
Siriwardana
,
J.
, and
Halgamuge
,
S.
,
2014
, “
Increasing the Thermal Efficiency of an Operational Data Center Using Cold Aisle Containment
,”
7th International Conference on Information and Automation for Sustainability
(
ICIAfS
), Sri Lanka, Dec. 22–24.
21.
Alkharabsheh
,
S. A.
,
Sammakia
,
B. G.
, and
Shrivastava
,
S. K.
,
2015
, “
Experimentally Validated Computational Fluid Dynamics Model for a Data Center With Cold Aisle Containment
,”
ASME J. Electron. Packag.
,
137
(
2
), p.
021010
.
22.
Fakhim
,
B.
,
Behnia
,
M.
,
Armfield
,
S. W.
, and
Srinarayana
,
N.
,
2011
, “
Cooling Solutions in an Operational Data Centre: A Case Study
,”
Appl. Therm. Eng.
,
31
(
14–15
), pp.
2279
2291
.
23.
Mentor Graphics
,
2013
, “
FloVENT
,”
Mentor Graphics Mechanical Analysis Division
,
Wilsonville, OR
.
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