Numerical investigation and parametric study for thermal and energy management enhancements in data centers' buildings

Abstract A CFD numerical investigation of air flow and temperature distribution in data centers is presented for different operating and geometric conditions. Numerical experiments were conducted to parametrically study the effects of perforated tiles opening ratio, data center power density and locations of Computer Room Air Conditioning (CRAC) on the data center performance. Temperature distribution especially hot spot points, 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), return temperature indices (RTI) and return cooling indices (RCI). Techniques of using cold aisle containments for enhancing the cooling effectiveness of data centers are investigated and evaluated. The results showed that (i) increasing the perforation ratio of perforated tails decreases the recirculation and bypass of air flow around the rack, (ii) increasing data centers' power density and supplied air flow rates increases the air bypass and air re-circulation, (iii) changing the spacing between the CRAC units and cold aisle slightly changes of air recirculation and bypass around the racks, and (iv) using appropriate cold aisle containment improves the performance of cooling of data centers, especially at high power density.

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

[2]  Kai Zhang,et al.  Experimental study on the characteristics of supply air for UFAD system with perforated tiles , 2014 .

[3]  Bahram Moshfegh,et al.  Investigation of indoor climate and power usage in a data center , 2005 .

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

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

[6]  Ali F. Alajmi,et al.  Energy analysis of under-floor air distribution (UFAD) system: An office building case study , 2013 .

[7]  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 .

[8]  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).

[9]  Bruce Nordman,et al.  Data Center Power Requirements: Measurements From Silicon Valley , 2003 .

[10]  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.

[11]  R. Schmidt,et al.  Improved Computational Fluid Dynamics Model for Open-Aisle Air-Cooled Data Center Simulations , 2013 .

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

[13]  Ali F. Alajmi,et al.  Saving energy by using underfloor-air-distribution (UFAD) system in commercial buildings , 2010 .

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

[15]  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.

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

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

[18]  Siew Eang Lee,et al.  Case study of data centers’ energy performance , 2006 .

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

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

[21]  Jinkyun Cho,et al.  Evaluation of air management system's thermal performance for superior cooling efficiency in high-de , 2011 .

[22]  R. Pletcher,et al.  Computational Fluid Mechanics and Heat Transfer. By D. A ANDERSON, J. C. TANNEHILL and R. H. PLETCHER. Hemisphere, 1984. 599 pp. $39.95. , 1986, Journal of Fluid Mechanics.

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

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

[25]  S. Maithel Energy Efficiency and Renewable Energy , 2008 .