Power quality assessment of energy efficient cooling systems in data centers

Arash Mousavi; Alireza Yavarian; Valeriy Vyatkin; Xiaojing Zhang

doi:10.1109/IECON.2017.8217258

Power quality assessment of energy efficient cooling systems in data centers

Arash Mousavi, Alireza Yavarian, Valeriy Vyatkin, Xiaojing Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE
Pages	7191-7196
Number of pages	6
Volume	2017-January
ISBN (Electronic)	9781538611272
DOIs	https://doi.org/10.1109/IECON.2017.8217258
Publication status	Published - 15 Dec 2017
MoE publication type	A4 Conference publication
Event	Annual Conference of the IEEE Industrial Electronics Society - Beijing, China Duration: 29 Oct 2017 → 1 Nov 2017 Conference number: 43 http://iecon2017.csp.escience.cn/

Publication series

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

Conference

Conference	Annual Conference of the IEEE Industrial Electronics Society
Abbreviated title	IECON
Country/Territory	China
City	Beijing
Period	29/10/2017 → 01/11/2017
Internet address	http://iecon2017.csp.escience.cn/

Keywords

automation
cooling systems
data center
efficiency
electrical model
IEC 61499 Function Block
power quality
thermal model
total harmonic distortion
voltage and current fluctuations

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IECON.2017.8217258

Cite this

Mousavi, A., Yavarian, A., Vyatkin, V., & Zhang, X. (2017). Power quality assessment of energy efficient cooling systems in data centers. In Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (Vol. 2017-January, pp. 7191-7196). ( Proceedings of the Annual Conference of the IEEE Industrial Electronics Society). IEEE. https://doi.org/10.1109/IECON.2017.8217258

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title = "Power quality assessment of energy efficient cooling systems in data centers",

abstract = "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.",

keywords = "automation, cooling systems, data center, efficiency, electrical model, IEC 61499 Function Block, power quality, thermal model, total harmonic distortion, voltage and current fluctuations",

author = "Arash Mousavi and Alireza Yavarian and Valeriy Vyatkin and Xiaojing Zhang",

year = "2017",

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booktitle = "Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society",

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Mousavi, A, Yavarian, A, Vyatkin, V & Zhang, X 2017, Power quality assessment of energy efficient cooling systems in data centers. in Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. vol. 2017-January, Proceedings of the Annual Conference of the IEEE Industrial Electronics Society, IEEE, pp. 7191-7196, Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, 29/10/2017. https://doi.org/10.1109/IECON.2017.8217258

Power quality assessment of energy efficient cooling systems in data centers. / Mousavi, Arash; Yavarian, Alireza; Vyatkin, Valeriy et al.
Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vol. 2017-January IEEE, 2017. p. 7191-7196 ( Proceedings of the Annual Conference of the IEEE Industrial Electronics Society).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

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AU - Mousavi, Arash

AU - Yavarian, Alireza

AU - Vyatkin, Valeriy

AU - Zhang, Xiaojing

N1 - Conference code: 43

PY - 2017/12/15

Y1 - 2017/12/15

N2 - 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.

AB - 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.

KW - automation

KW - cooling systems

KW - data center

KW - efficiency

KW - electrical model

KW - IEC 61499 Function Block

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KW - thermal model

KW - total harmonic distortion

KW - voltage and current fluctuations

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ER -

Mousavi A, Yavarian A, Vyatkin V, Zhang X. Power quality assessment of energy efficient cooling systems in data centers. In Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vol. 2017-January. IEEE. 2017. p. 7191-7196. ( Proceedings of the Annual Conference of the IEEE Industrial Electronics Society). doi: 10.1109/IECON.2017.8217258

Power quality assessment of energy efficient cooling systems in data centers

Abstract

Publication series

Conference

Keywords

UN SDGs

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