Numerical and experimental analysis of the air distribution system in a data center building to improve the thermal performance

Document Type : Article

Authors

Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran

Abstract

The purpose of the management of air distribution systems is to solve the problems in the cooling of data centers through minimizing the hot air recirculation and cold air bypass. In this paper, experimental and numerical analyses are conducted for the AUT data center. The data center performance indices have been compared between experimental and numerical solutions. According to temperature contours at a height of 1 m from the raised floor, recirculation of hot air to the cold aisle enclosure has occurred. For enhancement, the thermal management of the data center, cold aisle enclosure with decreasing supply airflow temperature to 18 , and hot aisle enclosure with return hot air from plenum ceiling to CRAC units were investigated. With the decrease in the total airflow supplied by CRAC units in the cold aisle enclosure and hot aisle enclosure models, the problem of Super-micro servers that experience about 50% more airflow than defined airflow for them in the base model, has been solved. The load on the cooling systems decreased from 13.2 kW up to 7.8 kW in hot aisle containment, the result is a hot aisle is a more suitable and appropriate configuration for the data center

Keywords


References

[1]           Kurkjian, C. and Glass, J. "Meeting the needs of 24/7 data centers," ASHRAE Journal, 49(2), pp. 24-35 (2007).
[2]           Patankar, S. V. "Airflow and Cooling in a Data Center," Journal of Heat Transfer, 132, pp. 073001-17 (2010).
[3]           Masanet, A. S. E. et al, "Recalibrating global data center energy-use estimates," Science , 367 (6481), pp. 984-986 (2020).
[4]           Lei, N. and Masanet, A. S. E.. "Statistical analysis for predicting location-specific data center PUE and its improvement potential," Energy, 201 (2020).
[5]           Jin, X. C. Bai, and Yang, C. "Effects of airflow on the thermal environment and energy efficiency in raised-floor data centers: A review," Science of The Total Environment, 695 (2019).
[6]           Rahmaninia, R, Amani, E. and Abbassi, A. "Computational optimization of a UFAD system using large eddy simulation," Scientia Iranica, 27(6),pp. 2871-2886 (2019).
[7]           Hassan, N. M. S. Khan, K. and Rasul, M. G. "Temperature Monitoring and CFD Analysis of Data Centre," Procedia Engineering, 56, pp. 551-559 (2013).
[8]           Nada, S. A. and Elfeky, K. E. "Experimental investigations of thermal management solutions in data centers buildings for different arrangements of cold aisles containments," Journal of Building Engineering,  5, pp. 41-49 (2016).
[9]           Yuan, X. et al, "Experimental and numerical study of airflow distribution optimization in high-density data center with flexible baffles," Building and Environment, 140, pp. 128-139 (2018).
[10]         Nada, S. A.M. Said, A and Rady, M. A. "CFD investigations of data centers’ thermal performance for different configurations of CRACs units and aisles separation," Alexandria Engineering Journal, 55 (2), pp. 959-971 (2016).
[11]         Lyua, C. Chen, G. and Liu, Y. "Enclosed aisle effect on cooling efficiency in small scale data center," in Procedia Engineering, 205, pp. 3789-3796 (2017).
[12]         Cho J. and Kim, B. S.  "Evaluation of air management system's thermal performance for superior cooling efficiency in high-density data centers," Energy and Buildings, 43(9), pp. 2145-2155 (2011).
[13]         Huang, Z. et al, "Numerical Simulation and Comparative Analysis of Different Airflow Distributions in Data Centers," Procedia Engineering, 205, pp. 2378-2385 (2017).
[14]         Jiao Y. and Li, Y. "Thermal Analysis for Underground Data Centres in the Tropics," in Energy Procedia, Singapore: World Engineers Summit – Applied Energy Symposium & Forum: Low Carbon Cities & Urban Energy Joint Conference, pp. 19-21 (2017).
[15]         Yuan, X. et al, "Improvement in airflow and temperature distribution with an in-rack UFAD system at a high-density data center," Building and Environment, 168, p. 106495 (2020).
[16]         Ling, Y. Z. et al, "On the characteristics of airflow through the perforated tiles for raised-floor data centers," Journal of Building Engineering, 10, pp. 60-68 (2017).
[17]         Karki K. C. and Patankar, S. V. "Airflow distribution through perforated tiles in raised-floor data centers," Building and Environment, 41(6), pp. 734-744 (2006).
[18]         Nada S. A. and Said, M. A. "Comprehensive study on the effects of plenum depths on airflow and thermal management in data centers," International Journal of Thermal Sciences, 122, pp. 302-312 (2017).
[19]         Schmidt R. and Iyengar, M. "Comparison between underfloor supply and overhead supply ventilation designs for data center high-density clusters," ASHRAE Transactions, 113 (Part 1) (2005).
[20]         Cho, J. Yang, J. and Park, W. "Evaluation of air distribution system’s airflow performance for cooling energy savings in high-density data centers," Energy and Buildings, 68, pp. 270-279 (2014).
[21]         Priyadumkol J. and Kittichaikarn, C. "Application of the combined air-conditioning systems for energy conservation in a data center," Energy and Buildings, 68, pp. 580-586 (2014).
[22]         Chu, W.-X. et al, "Experimental investigation on thermal management for small container data center," Journal of Building Engineering, 21, pp. 317-327 (2019).
[23]         U. S. Department of. Energy and U. S. D. C. S. E. Now, "Industrial Technologies Program," DOE-Energy Efficiency and Renewable Energy (2009).
[24]         Sharma, R. Bash, C. and C. Patel, "Dimensionless Parameters for Evaluation of Thermal Design and Performance of Large-scale Data Centers," presented at the 8th AIAA/ASME Joint Thermophysics and Heat Transfer Conference (2002).
[25]         Herrlin, M. K.  "Rack cooling effectiveness in data centers and telecom central offices: the rack cooling index (RCI)," ASHRAE Transactions, 111(2), pp. 1-11 (2005).
[26]         Herrlin, M. K. "Improved data center energy efficiency and thermal performance by advanced airflow analysis," in Proceedings of Digital Power Forum, pp. 10-12 (2007).
[27]         T. S. a. E. TC, E.  9.9 Mission Critical Facilities, "Thermal Guidelines for Data Processing Environments– Expanded Data Center Classes and Usage Guidance," American society of heating, refrigerating and air conditioning engineers Inc (2011).
[28]         Nada, S. A. Said, M. A. and Rady, M. A. "Numerical investigation and parametric study for thermal and energy management enhancements in data centers' buildings," Applied Thermal Engineering, 98, pp. 110-128 (2016).