Effect of CRAC units layout on thermal management of data center

Abstract Comprehensive numerical studies of thermal management of data centers were presented by several investigators for different geometric and operating conditions of data centers. In the present work, a technical note regarding the effect of the computer room air conditioning (CRAC) units layout arrangements is presented. Two arrangements of CRAC units layouts are investigated; namely locating CRACs units in line with the racks row and locating the CRACs units perpendicular to the rack row. Temperature distributions, air flow characteristics particularly air recirculation and bypass and thermal management in data centers are evaluated in terms of the measureable overall performance parameters: supply/return heat indices (SHI/RHI) and return temperature indices (RTI). The results showed that locating CRAC units perpendicular to the racks row has the following effects: (i) enhances the uniformity of the air flow from the perforated tiles along the rack row, (ii) reduces the hot air recirculation at the ends racks of the row and the cold air bypass at the middle rack of the row and (iii) enhances the data center performance parameters RTI, SHI and RHI.

[1]  Jinkyun Cho,et al.  Measurements and predictions of the air distribution systems in high compute density (Internet) data centers , 2009 .

[2]  S. A. Nada,et al.  Experimental investigations of thermal managements solutions in data centers buildings for different arrangements of cold aisles containments , 2016 .

[3]  Suhas V. Patankar,et al.  Airflow distribution through perforated tiles in raised-floor data centers , 2006 .

[4]  Mahmoud Ibrahim Ibrahim Dynamic thermal management of data centers , 2012 .

[5]  Magnus K. Herrlin,et al.  Rack cooling effectiveness in data centers and telecom central offices : The rack cooling index (RCI). Discussion , 2005 .

[6]  S. Nada,et al.  Experimental investigations of air conditioning solutions in high power density data centers using a scaled physical model , 2016 .

[7]  Roger R. Schmidt,et al.  A methodology for the design of perforated tiles in raised floor data centers using computational flow analysis , 2000, ITHERM 2000. The Seventh Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (Cat. No.00CH37069).

[8]  S. A. Nada,et al.  CFD investigations of data centers’ thermal performance for different configurations of CRACs units and aisles separation , 2016 .

[9]  Waleed Abdelmaksoud Experimental and Numerical Investigations of the Thermal Environment in Air-cooled Data Centers , 2012 .

[10]  Amip J. Shah,et al.  From Chip to Cooling Tower Data Center Modeling: Chip Leakage Power and its Impact on Cooling Infrastructure Energy Efficiency , 2011 .

[11]  Bahgat Sammakia,et al.  Optimization of data center room layout to minimize rack inlet air temperature , 2005 .

[12]  S. Halgamuge,et al.  Can a data center heat-flow model be scaled down? , 2012, 2012 IEEE 6th International Conference on Information and Automation for Sustainability.

[13]  Suhas V. Patankar,et al.  Techniques for Controlling Airflow Distribution in Raised-Floor Data Centers , 2003 .

[14]  S. A. Nada,et al.  Thermal Management of Electronic Servers under Different Power Conditions , 2015 .

[15]  Roger R. Schmidt,et al.  Cluster of High-Powered Racks Within a Raised-Floor Computer Data Center: Effect of Perforated Tile Flow Distribution on Rack Inlet Air Temperatures , 2004 .

[16]  S. Patankar,et al.  Use of Computational Fluid Dynamics for Calculating Flow Rates Through Perforated Tiles in Raised-Floor Data Centers , 2003 .

[17]  J. Koomey Worldwide electricity used in data centers , 2008 .

[18]  Roger R. Schmidt MEASUREMENTS AND PREDICTIONS OF THE FLOW DISTRIBUTION THROUGH PERFORATED TILES IN RAISED-FLOOR DATA CENTERS , 2001 .

[19]  S. Nada,et al.  Experimental parametric study of servers cooling management in data centers buildings , 2017 .

[20]  K. E. Elfeky,et al.  Experimental study of solving thermal heterogeneity problem of data center servers , 2016 .

[21]  Roger R. Schmidt,et al.  Experimental and computational study of perforated floor tile in data centers , 2010, 2010 12th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems.

[22]  Roger R. Schmidt,et al.  Airflow Uniformity Through Perforated Tiles in a Raised-Floor Data Center , 2005 .

[23]  Bahgat Sammakia,et al.  Optimization of data center room layout to minimize rack inlet air temperature , 2006 .

[24]  M. Elsharnoby,et al.  Numerical Investigation of Cooling of Electronic Servers Racks at Different Locations and Spacing from the Data Center Cooling Unit , 2015 .

[25]  S. A. Nada,et al.  Numerical investigation and parametric study for thermal and energy management enhancements in data centers' buildings , 2016 .

[26]  Cullen E. Bash,et al.  DIMENSIONLESS PARAMETERS FOR EVALUATION OF THERMAL DESIGN AND PERFORMANCE OF LARGE-SCALE DATA CENTERS , 2002 .