Energy‐efficient operation of indirect adiabatic data center cooling systems via Newton‐like phasor extremum seeking control

2021 ◽  
Author(s):  
Michele Lionello ◽  
Riccardo Lucchese ◽  
Mirco Rampazzo ◽  
Martin Guay ◽  
Khalid Atta
Keyword(s):  
Data Center ◽  
Energy Efficient ◽  
Extremum Seeking ◽  
Cooling Systems ◽  
Efficient Operation ◽  
Extremum Seeking Control ◽  
Data Center Cooling

Energy-efficient operation of transcritical and subcritical CO2 inverse cycles via Extremum Seeking Control

2019 ◽  
Vol 81 ◽  
pp. 87-97 ◽  
Author(s):  
Mirco Rampazzo ◽  
Andrea Cervato ◽  
Chiara Corazzol ◽  
Luca Mattiello ◽  
Alessandro Beghi ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Extremum Seeking ◽  
Efficient Operation ◽  
Extremum Seeking Control

scholarly journals Real-time Efficient Operation of Decatizing Processes via a Geometric-based Extremum Seeking Control

2020 ◽  
Vol 53 (2) ◽  
pp. 1614-1620
Author(s):  
Fabiana Federica Ferro ◽  
Michele Lionello ◽  
Mirco Rampazzo ◽  
Alessandro Beghi ◽  
Martin Guay
Keyword(s):  
Real Time ◽  
Extremum Seeking ◽  
Efficient Operation ◽  
Extremum Seeking Control

scholarly journals Sliding Mode Based Extremum Seeking Control of Two-Phase Flow Micro-Thermal-Fluid Cooling Systems

2017 ◽  
Vol 50 (1) ◽  
pp. 5133-5138
Author(s):  
Fernando Lizarralde ◽  
João C. Monteiro ◽  
Rafael Pereira ◽  
Liu Hsu
Keyword(s):  
Two Phase Flow ◽  
Sliding Mode ◽  
Extremum Seeking ◽  
Phase Flow ◽  
Two Phase ◽  
Cooling Systems ◽  
Extremum Seeking Control ◽  
Fluid 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.

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