A case study on the modeling of system state degradation for data center cooling systems

2017 ◽  
Author(s):  
Xiao Liu ◽  
Chork Thiam Tan ◽  
Daniel Pare
Keyword(s):  
Data Center ◽  
System State ◽  
Cooling Systems ◽  
Data Center Cooling

Analytical Modeling of Energy Consumption and Thermal Performance of Data Center Cooling Systems: From the Chip to the Environment

2007 ◽  
Author(s):  
Madhusudan Iyengar ◽  
Roger R. Schmidt
Keyword(s):  
Energy Consumption ◽  
Data Center ◽  
Energy Use ◽  
It Industry ◽  
Cooling Systems ◽  
Air Temperatures ◽  
Data Center Cooling ◽  
Total Data ◽  
Heat Transfer Phenomenon

The increasingly ubiquitous nature of computer and internet usage in our society, has driven advances in semiconductor technology, server packaging, and cluster level optimizations, in the IT industry. Not surprisingly this has an impact on our societal infrastructure with respect to providing the requisite energy to fuel these power hungry machines. Cooling has been found to contribute to about a third of the total data center energy consumption, and is the focus of this study. In this paper we develop and present physics based models to allow the prediction of the energy consumption and heat transfer phenomenon in a data center. These models allow the estimation of the microprocessor junction and server inlet air temperatures for different flow and temperature conditions at various parts of the data center cooling infrastructure. For a case study example considered, the chiller energy use was the biggest fraction of about 41% and also the most inefficient. The room air conditioning was the second largest energy component and also the second most inefficient. A sensitivity analysis of plant and chiller energy efficiency with chiller set point temperature and outdoor air conditions is also presented.

Comparison of Deep Reinforcement Learning Algorithms in Data Center Cooling Management: A Case Study

2021 ◽  
Author(s):  
Tianyang Hua ◽  
Jianxiong Wan ◽  
Shan Jaffry ◽  
Zeeshan Rasheed ◽  
Leixiao Li ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Data Center ◽  
Learning Algorithms ◽  
Data Center Cooling

Principles of loop thermosyphon and its application in data center cooling systems: A review

2021 ◽  
Vol 150 ◽  
pp. 111389
Author(s):  
Tao Ding ◽  
Xiaoxuan Chen ◽  
Hanwen Cao ◽  
Zhiguang He ◽  
Jianmin Wang ◽  
...  
Keyword(s):  
Data Center ◽  
Cooling Systems ◽  
Data Center Cooling

Refrigeration Heat Exchanger Systems for Server Rack Cooling in Data Centers

2009 ◽  
Author(s):  
Takeshi Tsukamoto ◽  
Jyunji Takayoshi ◽  
Roger R. Schmidt ◽  
Madhusudan K. Iyengar
Keyword(s):  
Heat Exchanger ◽  
Data Center ◽  
Heat Exchangers ◽  
Energy Savings ◽  
Vapor Compression ◽  
Data Center Cooling ◽  
Thermal Data ◽  
Coolant Loop ◽  
Vapor Compression System

In 2005, IBM released a water cooled heat exchanger product that significantly enhanced data center cooling capability while also demonstrating substantial energy savings. In 2008, IBM released an enhanced water less solution to cool the electronic racks via a R410A refrigerant based vapor compression system, which is the focus of this paper. The paper provides a detailed description of device and coolant loop construction, the experimental thermal data collected, as well as a discussion of its’ cooling energy efficiency relative to both typical air cooled facilities and water cooled heat exchangers, respectively. A data center level case study was performed with experimental measurements collected and discussed herein. Significant energy savings were realized even when the heat exchanger devices were implemented on a small part of the data center. Based on the test data and the experimental data center study, the CRAC units based loops have a COP of 1.95, while the refrigerant refrigerant heat exchanger loop has a COP of 5.0.

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