Modeling of HVAC system in data center with super-multipoint temperature sensing technology

Yasuaki Wasa, Fumiya Makihara, Akihito Kato, Takeo Kasajima, Takeshi Hatanaka, Masayuki Fujita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we consider a server cooling system in a data center with fans and a super-multipoint temperature sensing technology using optimal time-domain reflectometry of optical fiber. The sensing system was developed to visualize the temperature distribution of the room in real time, and it can also be a key technology to control the distribution in order to reduce total power consumption in data centers. In this paper, we first present a concept of the fan control system. The objective of the system is to uniformize the rack air inlet temperature distribution in the presence of heat from each server. Since the control scheme requires a dynamical model of the temperature variations in the room, this paper mainly addresses the modeling. The challenge of the modeling stems from a large volume of data provided by the sensing system. It is computationally hard to directly apply standard identification techniques to the data. We thus present a two-stage reduction scheme of the output dimension using the concept of so-called mutual information. The effectiveness of the proposed scheme is finally demonstrated using real data.

Original languageEnglish
Title of host publication2014 IEEE Conference on Control Applications, CCA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages304-309
Number of pages6
ISBN (Electronic)9781479974092
DOIs
Publication statusPublished - 2014 Dec 9
Event2014 IEEE Conference on Control Applications, CCA 2014 - Juan Les Antibes, France
Duration: 2014 Oct 82014 Oct 10

Publication series

Name2014 IEEE Conference on Control Applications, CCA 2014

Conference

Conference2014 IEEE Conference on Control Applications, CCA 2014
CountryFrance
CityJuan Les Antibes
Period14/10/814/10/10

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ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering

Cite this

Wasa, Y., Makihara, F., Kato, A., Kasajima, T., Hatanaka, T., & Fujita, M. (2014). Modeling of HVAC system in data center with super-multipoint temperature sensing technology. In 2014 IEEE Conference on Control Applications, CCA 2014 (pp. 304-309). [6981363] (2014 IEEE Conference on Control Applications, CCA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCA.2014.6981363