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Cyber-physical Design of Data Centers Cooling Systems Automation
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-0799-2888
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-9315-9920
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0001-8185-7118
ABB AB, Corporate research.ORCID iD: 0000-0003-2353-0752
Number of Authors: 42015 (English)In: IEEE TrustCom-BigDataSE-ISPA 2015: Helsinki, 20-22 Aug. 2015, Piscataway, NJ: IEEE Communications Society, 2015, p. 254-260, article id 7345657Conference paper, Published paper (Refereed)
Abstract [en]

Modern data centers in many aspects are akin to industrial plants that generate a lot of heat by consuming substantial amount of energy and require powerful cooling and ventilation. Cooling system contributes with 30 to 50% of the total energy consumption of data centers. An effective way to address energy efficiency in such cooling systems is to apply advanced automation solutions, similar to that of industrial and building automation systems. However, existing automation solutions are not flexible enough to meet requirements of cooling systems in modern data centres. This paper is an endeavour to utilize distributed adaptive automation architecture in order to improve energy efficiency of cooling. The proposed automation algorithms are validated in a simulation environment which models the thermal behaviour of a server room and helps to find the most energy efficient control strategy for controlling thecooling devices. This paper describes the simulation tool comprising of thermal behaviour modelling in MATLAB/SIMULINK connected in closed-loop with the distributed control environment of IEC 61499 standard. Simulation of a typical server room under certain constraints using the proposed tool is described and the results are presented. The results demonstrate the potential of improving higher energy efficiency, flexibility and better decision-making ability for controlling the cooling systems.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015. p. 254-260, article id 7345657
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-30334DOI: 10.1109/Trustcom.2015.641ISI: 000380431400036Scopus ID: 2-s2.0-84969256356Local ID: 418cc6b2-bfbb-4347-b789-8e5d78ce322bISBN: 9781467379519 (print)OAI: oai:DiVA.org:ltu-30334DiVA, id: diva2:1003561
Conference
IEEE TrustCom-BigDataSE-ISPA : 20/08/2015 - 22/08/2015
Note

Validerad; 2016; Nivå 1; 2016-10-11 (andbra)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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Mousavi, ArashVyatkin, ValeriyBerezovskaya, YuliaZhang, Xiaojing

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