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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Kustantaja	IEEE
Sivut	7191-7196
Sivumäärä	6
Vuosikerta	2017-January
ISBN (elektroninen)	9781538611272
DOI - pysyväislinkit	https://doi.org/10.1109/IECON.2017.8217258
Tila	Julkaistu - 15 jouluk. 2017
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	Annual Conference of the IEEE Industrial Electronics Society - Beijing, Kiina Kesto: 29 lokak. 2017 → 1 marrask. 2017 Konferenssinumero: 43 http://iecon2017.csp.escience.cn/

Julkaisusarja

Nimi	Proceedings of the Annual Conference of the IEEE Industrial Electronics Society
Kustantaja	IEEE
ISSN (painettu)	1553-572X

Conference

Conference	Annual Conference of the IEEE Industrial Electronics Society
Lyhennettä	IECON
Maa/Alue	Kiina
Kaupunki	Beijing
Ajanjakso	29/10/2017 → 01/11/2017
www-osoite	http://iecon2017.csp.escience.cn/

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10.1109/IECON.2017.8217258

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

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

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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",

month = dec,

day = "15",

doi = "10.1109/IECON.2017.8217258",

language = "English",

volume = "2017-January",

series = " Proceedings of the Annual Conference of the IEEE Industrial Electronics Society",

publisher = "IEEE",

pages = "7191--7196",

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. julkaisussa Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vuosikerta 2017-January, Proceedings of the Annual Conference of the IEEE Industrial Electronics Society, IEEE, Sivut 7191-7196, Annual Conference of the IEEE Industrial Electronics Society, Beijing, Kiina, 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. Vuosikerta 2017-January IEEE, 2017. s. 7191-7196 ( Proceedings of the Annual Conference of the IEEE Industrial Electronics Society).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Power quality assessment of energy efficient cooling systems in data centers

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

KW - power quality

KW - thermal model

KW - total harmonic distortion

KW - voltage and current fluctuations

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DO - 10.1109/IECON.2017.8217258

M3 - Conference article in proceedings

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VL - 2017-January

T3 - Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

SP - 7191

EP - 7196

BT - Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE

T2 - Annual Conference of the IEEE Industrial Electronics Society

Y2 - 29 October 2017 through 1 November 2017

ER -

Mousavi A, Yavarian A, Vyatkin V, Zhang X. Power quality assessment of energy efficient cooling systems in data centers. julkaisussa Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vuosikerta 2017-January. IEEE. 2017. s. 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

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