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Energy savings in data centers: A framework for modelling and control of servers’ cooling
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå tekniska universitet.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0001-8235-9639
ABB Corporate Research, Västerås.
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2017 (English)In: IFAC-PapersOnLine, ISSN 1045-0823, E-ISSN 1797-318X, Vol. 50, no 1, 9050-9057 p.Article in journal (Refereed) Published
Abstract [en]

Aiming at improving the energy efficiency of air cooled servers in data centers, we devise a novel control oriented, nonlinear, thermal model of the servers that accounts explicitly for both direct and recirculating convective air flows. Instrumental to the optimal co-design of both geometries and cooling policies, we propose an identification methodology based on Computational Fluid Dynamics (CFD) for a generic thermal network of m fans and n electronic components. The performance of the proposed modelling framework is validated against CFD measurements with promising results. We formalize the minimum cooling cost control problem as a polynomially constrained Receding Horizon Control (RHC) and show, in-silico, that the resulting policy is able to efficiently modulate the cooling resources in spite of the unknown future computational and electrical power loads.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 50, no 1, 9050-9057 p.
National Category
Control Engineering Fluid Mechanics and Acoustics
Research subject
Control Engineering; Fluid Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-66199DOI: 10.1016/j.ifacol.2017.08.1624Scopus ID: 2-s2.0-85031817824OAI: oai:DiVA.org:ltu-66199DiVA: diva2:1150711
Conference
20th IFAC World Congress, Toulouse, France, 9-14 July 2017
Note

Konferensartikel i tidskrift

Available from: 2017-10-19 Created: 2017-10-19 Last updated: 2017-12-01Bibliographically approved

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