Towards an open model for data center research: From CPU to cooling tower

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


  • Gulnara Zhabelova
  • Mattias Vesterlund
  • Sascha Eschmann
  • Valeriy Vyatkin

  • Damien Flieller

Research units

  • Luleå University of Technology
  • National Institute of Applied Sciences - Strasbourg
  • RISE SICS North


Data centers are important players in the energy infrastructure. Aiming at addressing environmental challenges, large data centers such as Facebook, Google, Yahoo, etc., are increasing share of green power in their daily energy consumption. Such trends drive research into new directions, e.g. sustainable data centers. The research often relies on expressive models that provides sufficient details however practical to re-use and expand There is a lack of available data center models that capture dynamics of the facility from the CPU to the cooling tower. It is a challenge to develop a model that allows to describe complete data center of any scale including its connection to the grid. This paper proposes such a model building on existing work. The challenge was to put the pieces of data center together and describe dynamics of each element so that interdependences between components and parameters are captured correctly and in sufficient details. The proposed model was used in the project "Data center microgrid integration" and proven to be adequate and important to support such study.


Original languageEnglish
Title of host publicationProceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
Publication statusPublished - 26 Dec 2018
MoE publication typeA4 Article in a conference publication
EventAnnual Conference of the IEEE Industrial Electronics Society - Washington, United States
Duration: 21 Oct 201823 Oct 2018
Conference number: 44

Publication series

NameProceedings of the Annual Conference of the IEEE Industrial Electronics Society
ISSN (Print)1553-572X


ConferenceAnnual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON
CountryUnited States

    Research areas

  • Chiller, Cooling, Cooling tower, CRAH, Data center, Microgrid, Model, Server, Smart grid

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