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Power quality assessment of energy efficient cooling systems in data centers
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.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Department of Electrical Engineering a nd Automation, Aalto University.ORCID iD: 0000-0002-9315-9920
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-2353-0752
2017 (English)In: Proceedings IECON 2017: 43rd Annual Conference of the IEEE Industrial Electronics Society, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 7191-7196Conference paper, Published paper (Refereed)
Abstract [en]

Power quality is an important aspect in data centers and power system operators prefer data centers with high standard power quality. Modern data centers consume large amount of electrical power. As the cooling systems are accounted for 40% of the total power consumption in data centers, energy efficiency in this sector is of high importance. This research investigates if the existing energy efficient cooling strategies can also meet the power quality level defined by the IEEE 519-2014 standard. In this research three automation strategies based on IEC 61499 standard for cooling system in a typical server room are considered and the effects of each one on power quality parameters are investigated via simulation. The investigation has been performed for both; internal power grid of data center and upstream power network that data center is connected to. Power quality parameters which are considered are Total Harmonic Distortion (THD), voltage and current distortions. Results of simulation prove that the automation strategies with highest energy efficiency, also meet the higher power quality standard.

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 7191-7196
Series
IEEE Industrial Electronics Society, ISSN 1553-572X
National Category
Computer Systems Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-67364DOI: 10.1109/IECON.2017.8217258ISI: 000427164807014Scopus ID: 2-s2.0-85046626176ISBN: 978-1-5386-1127-2 (electronic)OAI: oai:DiVA.org:ltu-67364DiVA, id: diva2:1176663
Conference
43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Bejing, China, 29 October - 1 November 2017
Projects
Energimyndigheten, SAVE project (PNO: 39357-2)SENDATE EXTEND project (PNO: 3811426)Available from: 2018-01-23 Created: 2018-01-23 Last updated: 2018-06-20Bibliographically approved

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Mousavi, ArashYavarian, AlirezaVyatkin, ValeriyZhang, Xiaojing
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