Coordinated system for controlling ICT equipment and CRAC loads in data centers

Matsuo, Keigo; Maruyama, Masato; Hayashi, Toshihiro; Takeuchi, Akihiro; Nakamura, Ryota; Matsuda, Kazuhiro; Tominaga, T.

doi:10.1109/intlec.2011.6099749

Cited by 5 publications

(7 citation statements)

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“…The other geometric modification, i.e., curved fin, based on aerodynamics may be applicable. Since data center dimensions and structures [5] are too enormous and complicated to deal with, commercial based CFD software tools, e.g., FLUENT and FLOVENT [38], have been used to predict flows and temperatures in data centers. To enhance practicality, simplified CFD equations were introduced in [16]; the potential equation, a Laplacian, has no time dependent term.…”

Section: Static Numerical Simulationsmentioning

confidence: 99%

“…This generates ideal static and smooth flows without any vortexes so accuracy is lost. In [38], the impact of an outlet server-fin model was shown in steady state with no small vortex generation. Therefore, in [16,31], in order to achieve local flow accuracy superior to that of the potential equation, a vortex superposition model was interactively added, where vortex strength must be tuned.…”

Section: Static Numerical Simulationsmentioning

confidence: 99%

“…However, the time-varying thermodynamic characteristics of inlet and outlet server-fins, i.e., different opening angles and shapes, have not been studied at the global, data center, dimension. More importantly, most previous numerical simulation models employ commercial CFD tools [38], but more efficient tools are desired.…”

Section: Dynamic Numerical Simulationsmentioning

confidence: 99%

“…In data center type dimensions, CFD models can be roughly categorized as one of two scales: global and local. On the global scale, previous numerical models [38] address optimality in terms of architecture and infrastructure, i.e., the spacing/layout of racks, perforated tiles [4] with different hole sizes/spacing, and rack server population [18]. From the static thermodynamic viewpoint, the main interest has been to keep server temperature below a defmed redline.…”

mentioning

confidence: 99%

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Local and global dimensional CFD simulations and analyses to optimize server-fin design for improved energy efficiency in data centers

Sakaino

2014

Fourteenth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)

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This paper presents numerical simulations based on the concept of local and global dimensional analysis to reproduce the thermodynamics and aerodynamics of server-fins, i.e., detachable flat/curved fms on the inlet/outlet of a server, for enhancing energy efficiency in data centers. Server-fin designs, combinations of shapes and opening angles, are evaluated by transient analysis, vorticity analysis, temperature change rate analysis, and a modified Return Heat Index. Various numerical simulations from local to global dimensions confirm the effectiveness of the server-fins proposed herein in enhancing energy efficiency in data centers compared to their omission.

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Section: Static Numerical Simulationsmentioning

confidence: 99%

Section: Static Numerical Simulationsmentioning

confidence: 99%

Section: Dynamic Numerical Simulationsmentioning

confidence: 99%

mentioning

confidence: 99%

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Local and global dimensional CFD simulations and analyses to optimize server-fin design for improved energy efficiency in data centers

Sakaino

2014

Fourteenth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)

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“…As an approach to tackling the above-mentioned issues, NTT has been developing a data center energy management system (DEMS) [2]- [4].…”

Section: B Concept Of Data Center Energy Management Systemmentioning

confidence: 99%

Minimum data set for controlling data center equipment for energy saving management

Hayashi

Tominaga

Saigo

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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To reduce energy consumption in data centers, we propose architecture for coordinated control of information and communication technology (ICT) and cooling equipment. We also propose the minimum data set necessary for implementing such a function in data centers based on the ITU-T Recommendation L.1300, which received consent in September 2011. The significance and details of the minimum data set are presented. Other standardization activities on data set are also briefly summarized. This paper also presents the energy saving potential of coordinated control based on experiments in NTT. The results indicate that additional energy can be saved by adjusting the fan speed and temperature setting among multiple units of computer room air conditioner, in response to heat generation due to operation of ICT equipment.

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Learning and optimization models for energy efficient cooling control in data center

Nakamura

2016

2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)

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Coordinated system for controlling ICT equipment and CRAC loads in data centers

Cited by 5 publications

References 0 publications

Local and global dimensional CFD simulations and analyses to optimize server-fin design for improved energy efficiency in data centers

Local and global dimensional CFD simulations and analyses to optimize server-fin design for improved energy efficiency in data centers

Minimum data set for controlling data center equipment for energy saving management

Learning and optimization models for energy efficient cooling control in data center

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