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Improvement of Energy Efficiency in Data Centers via Flexible Humidity Control
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-9315-9920
ABB Corporate Research, Västerås, Sweden.ORCID iD: 0000-0003-2353-0752
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Number of Authors: 5
2016 (English)In: IECON Proceedings (Industrial Electronics Conference), Piscataway, NJ: IEEE Computer Society, 2016, 5585-5590 p., 7793777Conference paper, Published paper (Refereed)
Abstract [en]

Abstract- The main goal of climate control systems in data centres is to keep the temperature and humidity in a suitable level for computational devices. Therefore, cooling and humidification systems are essential parts of every Building Automation System (BAS), which is utilized in server rooms. Although the current climate control systems ensure appropriate thermal conditions to computational nodes such as servers, they waste substantial amount of energy. The main cause of this inefficiency is that the current climate control systems, which are responsible for thermal management of the data centres, follow rigid control strategies that maintain constant thermal conditions irrespective of climate changes caused by various computational loads in the plant. To address this issue, in our previous works we proposed a method of optimizing energy consumption in data centre cooling systems while maintaining an acceptable level of thermal comfort for CPUs in the server room. In this paper, we present the enhancement of our previous method by incorporating humidity control into it. The enhanced method consists of a thermal model of server room, and a simulation tool to find an energy efficient control strategy for the climate control system in different situations by comparing different control strategies. The effectiveness of the proposed method has been investigated via simulation and the result, which shows 41.5% reduction in total energy consumption is presented.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Computer Society, 2016. 5585-5590 p., 7793777
Series
IEEE Industrial Electronics Society, ISSN 1553-572X
National Category
Computer Science
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-61576DOI: 10.1109/IECON.2016.7793777ISI: 000399031205143Scopus ID: 2-s2.0-85010042111ISBN: 9781509034741 (electronic)OAI: oai:DiVA.org:ltu-61576DiVA: diva2:1067547
Conference
42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24-27 October 2016
Projects
SAVESENDATE-EXTEND
Funder
Swedish Energy Agency, 381143VINNOVA, 3811426
Available from: 2017-01-22 Created: 2017-01-22 Last updated: 2017-11-24Bibliographically approved

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Publisher's full textScopushttp://ieeexplore.ieee.org/document/7793777/

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Mousavi, ArashBerezovskaya, YuliaVyatkin, ValeriyZhang, Xiaojing

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