Published 8 issues per year
ISSN Print: 1065-5131
ISSN Online: 1563-5074
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ENERGY EFFICIENT THERMAL MANAGEMENT OF DATA CENTERS VIA OPEN MULTI-SCALE DESIGN: A REVIEW OF RESEARCH QUESTIONS AND APPROACHES
ABSTRACT
Currently, the airflow and heat transfer characteristics of data centers are simulated through computational fluid dynamics and heat transfer (CFD/HT) modeling. The degrees of freedom of these models are too large to be efficiently used with methodologies for effective design around the significant parameters of interest. Effective modeling and design of a data center is complicated due to its multi-scale nature, where length scales span four orders of magnitude from the room and plenum to the rack, to the server, and to the chip levels. Multi-scale resolution in simulation and design methodologies is important because the system design objectives (e.g., keeping the chip temperature in a desirable range) and the heat generation sources are located at the chip scale, yet the design solution (cold air from cooling units) spans the plenum and room scales. Using a complete CFD/HT model involving all of these length scales is infeasible for design. This paper begins with a review of the recent studies on energy usage trends and the need for energy efficient thermal management of data centers. Reduced order modeling of the thermal/fluid phenomena, by coupling the transport at different scales of the data center, is reviewed as a method that can be easily incorporated in design methodologies to find the optimum design variables involved at all scales. The energy-efficient design of data centers is a multi-objective problem. This design problem and possible multi-objective methodologies are reviewed. Incorporation of the coupled multi-scale model within established multi-objective design frameworks potentially allows for energy efficient open or scalable design of new facilities as well as retro-fits of current ones. These concepts are illustrated with selected examples.
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Ebrahimi Khosrow, Jones Gerard F., Fleischer Amy S., A review of data center cooling technology, operating conditions and the corresponding low-grade waste heat recovery opportunities, Renewable and Sustainable Energy Reviews, 31, 2014. Crossref
-
Bhalerao Anish, Fouladi K., Silva-Llanca Luis, Wemhoff Aaron P., Rapid prediction of exergy destruction in data centers due to airflow mixing, Numerical Heat Transfer, Part A: Applications, 70, 1, 2016. Crossref
-
Chu Wen-Xiao, Hsu Chang-Sheng, Tsui Yeng-Yung, Wang Chi-Chuan, Experimental investigation on thermal management for small container data center, Journal of Building Engineering, 21, 2019. Crossref
-
Huang Qionghai, Shao Shuangquan, Zhang Hainan, Tian Changqing, Development and composition of a data center heat recovery system and evaluation of annual operation performance, Energy, 189, 2019. Crossref
-
Chu Wen-Xiao, Wang Chi-Chuan, A review on airflow management in data centers, Applied Energy, 240, 2019. Crossref
-
Gong Xiaoming, Zhang Zhongbin, Gan Sixuan, Niu Baolian, Yang Liu, Xu Haijin, Gao Manfang, A review on evaluation metrics of thermal performance in data centers, Building and Environment, 177, 2020. Crossref
-
Amiri Leyla, Madadian Edris, Bahrani Navid, Ghoreishi-Madiseh Seyed Ali, Techno-Economic Analysis of Waste Heat Utilization in Data Centers: Application of Absorption Chiller Systems, Energies, 14, 9, 2021. Crossref
-
Ahmed Kazi Main Uddin, Bollen Math H. J., Alvarez Manuel, A Review of Data Centers Energy Consumption and Reliability Modeling, IEEE Access, 9, 2021. Crossref
-
Chu Wen-Xiao, Lee Po-Heng, Tsui Yeng-Yung, Wang Chi-Chuan, Performance analysis of a simulated container data center subject to airflow resistance, Energy Efficiency, 14, 2, 2021. Crossref
-
Koposova E. N., The Correlation Between External and Internal Factors of the Libyan Crisis, MGIMO Review of International Relations, 5(44), 2015. Crossref