Increasing Data Center Energy Efficiency via Simulation and Optimization of Cooling Circuits - A Practical Approach
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- 关键词：HPC ; Energy efficiency ; Energy reduction ; Adsorption ; Data center
- 刊名：Lecture Notes in Computer Science
- 出版年：2015
- 出版时间：2015
- 年：2015
- 卷：9424
- 期：1
- 页码：208-221
- 全文大小：2,272 KB
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Tanja Clees (18)
Hayk Shoukourian (16) (17)
Nils Hornung (18)
Michael Schnell (18)
Inna Torgovitskaia (18)
Eric Lluch Alvarez (18)
Detlef Labrenz (16)
Horst Schwichtenberg (18)
16. Leibniz Supercomputing Centre of the Bavarian Academy of Science and Humanity, Garching bei München, Germany
17. Technical University Munich (TUM), Munich, Germany
18. Fraunhofer SCAI (SCAI), Sankt Augustin, Germany - 丛书名：Energy Informatics
- ISBN：978-3-319-25876-8
- 刊物类别：Computer Science
- 刊物主题：Artificial Intelligence and Robotics
Computer Communication Networks
Software Engineering
Data Encryption
Database Management
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity - 出版者：Springer Berlin / Heidelberg
- ISSN：1611-3349
文摘
The steady rise in energy consumption by data centers world wide over the last decade and the future 20 MW exascale-challenge in High Performance Computing (HPC) makes saving energy an important consideration for HPC data centers. A move from air-cooled HPC systems to indirect or direct water-cooled systems allowed for the use of chiller-less cold or hot water cooling. However, controlling such systems needs special attention in order to arrive at an optimal compromise of low energy consumption and robust operating conditions. This paper highlights a newly developed concept along with software tools for modeling the data center cooling circuits, collecting data, and simulating and analyzing operating conditions. A first model for the chiller-less cooling loop of the Leibniz Supercomputing Center (LRZ) will be presented and lessons learned will be discussed, demonstrating the possibilities offered by the new concept and tools.