Energy efficient decision making in data centers with multiple cooling methods

Arash Mousavi; Yulia Berezovskaya; Valeriy Vyatkin; Xiaojing Zhang

doi:10.1109/IECON.2017.8217544

Energy efficient decision making in data centers with multiple cooling methods

Arash Mousavi, Yulia Berezovskaya, Valeriy Vyatkin, Xiaojing Zhang

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

4 Sitaatiot (Scopus)

Abstrakti

Cooling systems consume around 40% of modern data centres' total energy consumption, thus reducing the energy waste in this sector will have positive environmental impact. There exist several cooling methods appropriate for particular conditions. Since environmental conditions, such as air temperature, change on seasonal bases, no single cooling method can be claimed to be the best. In contrast, data centres with multiple cooling methods can perform more efficiently. However, the decision-making process of which cooling system is the most appropriate one should be an automated process. In this paper, a decision-making process based on simulation is proposed. The simulation tool comprises of a mathematical model and a multi-agent control. The mathematical model simulates the thermal behaviour of SICS ICE data centre, which is a real facility located in Northern Sweden. The main aim of the simulation is to calculate thermal conditions and energy consumption of different cooling methods in cold and hot seasons. The result then will be used by multi-agent control to choose the most appropriate cooling method.

Alkuperäiskieli	Englanti
Otsikko	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Kustantaja	IEEE
Sivut	8785-8790
Sivumäärä	6
Vuosikerta	2017-January
ISBN (elektroninen)	9781538611272
DOI - pysyväislinkit	https://doi.org/10.1109/IECON.2017.8217544
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.2017.8217544

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Mousavi, A., Berezovskaya, Y., Vyatkin, V., & Zhang, X. (2017). Energy efficient decision making in data centers with multiple cooling methods. teoksessa Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (Vuosikerta 2017-January, Sivut 8785-8790). ( Proceedings of the Annual Conference of the IEEE Industrial Electronics Society). IEEE. https://doi.org/10.1109/IECON.2017.8217544

Mousavi, Arash ; Berezovskaya, Yulia ; Vyatkin, Valeriy et al. / Energy efficient decision making in data centers with multiple cooling methods. Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vuosikerta 2017-January IEEE, 2017. Sivut 8785-8790 ( Proceedings of the Annual Conference of the IEEE Industrial Electronics Society).

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title = "Energy efficient decision making in data centers with multiple cooling methods",

abstract = "Cooling systems consume around 40% of modern data centres' total energy consumption, thus reducing the energy waste in this sector will have positive environmental impact. There exist several cooling methods appropriate for particular conditions. Since environmental conditions, such as air temperature, change on seasonal bases, no single cooling method can be claimed to be the best. In contrast, data centres with multiple cooling methods can perform more efficiently. However, the decision-making process of which cooling system is the most appropriate one should be an automated process. In this paper, a decision-making process based on simulation is proposed. The simulation tool comprises of a mathematical model and a multi-agent control. The mathematical model simulates the thermal behaviour of SICS ICE data centre, which is a real facility located in Northern Sweden. The main aim of the simulation is to calculate thermal conditions and energy consumption of different cooling methods in cold and hot seasons. The result then will be used by multi-agent control to choose the most appropriate cooling method.",

keywords = "data center, decision making, energy efficiency, mathematical modelling, multi-agent control, multiple cooling systems, simulation",

author = "Arash Mousavi and Yulia Berezovskaya and Valeriy Vyatkin and Xiaojing Zhang",

year = "2017",

month = dec,

day = "15",

doi = "10.1109/IECON.2017.8217544",

language = "English",

volume = "2017-January",

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

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

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note = "Annual Conference of the IEEE Industrial Electronics Society, IECON ; Conference date: 29-10-2017 Through 01-11-2017",

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Mousavi, A, Berezovskaya, Y, Vyatkin, V & Zhang, X 2017, Energy efficient decision making in data centers with multiple cooling methods. 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 8785-8790, Annual Conference of the IEEE Industrial Electronics Society, Beijing, Kiina, 29/10/2017. https://doi.org/10.1109/IECON.2017.8217544

Energy efficient decision making in data centers with multiple cooling methods. / Mousavi, Arash; Berezovskaya, Yulia; Vyatkin, Valeriy et al.
Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vuosikerta 2017-January IEEE, 2017. s. 8785-8790 ( Proceedings of the Annual Conference of the IEEE Industrial Electronics Society).

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

TY - GEN

T1 - Energy efficient decision making in data centers with multiple cooling methods

AU - Mousavi, Arash

AU - Berezovskaya, Yulia

AU - Vyatkin, Valeriy

AU - Zhang, Xiaojing

N1 - Conference code: 43

PY - 2017/12/15

Y1 - 2017/12/15

N2 - Cooling systems consume around 40% of modern data centres' total energy consumption, thus reducing the energy waste in this sector will have positive environmental impact. There exist several cooling methods appropriate for particular conditions. Since environmental conditions, such as air temperature, change on seasonal bases, no single cooling method can be claimed to be the best. In contrast, data centres with multiple cooling methods can perform more efficiently. However, the decision-making process of which cooling system is the most appropriate one should be an automated process. In this paper, a decision-making process based on simulation is proposed. The simulation tool comprises of a mathematical model and a multi-agent control. The mathematical model simulates the thermal behaviour of SICS ICE data centre, which is a real facility located in Northern Sweden. The main aim of the simulation is to calculate thermal conditions and energy consumption of different cooling methods in cold and hot seasons. The result then will be used by multi-agent control to choose the most appropriate cooling method.

AB - Cooling systems consume around 40% of modern data centres' total energy consumption, thus reducing the energy waste in this sector will have positive environmental impact. There exist several cooling methods appropriate for particular conditions. Since environmental conditions, such as air temperature, change on seasonal bases, no single cooling method can be claimed to be the best. In contrast, data centres with multiple cooling methods can perform more efficiently. However, the decision-making process of which cooling system is the most appropriate one should be an automated process. In this paper, a decision-making process based on simulation is proposed. The simulation tool comprises of a mathematical model and a multi-agent control. The mathematical model simulates the thermal behaviour of SICS ICE data centre, which is a real facility located in Northern Sweden. The main aim of the simulation is to calculate thermal conditions and energy consumption of different cooling methods in cold and hot seasons. The result then will be used by multi-agent control to choose the most appropriate cooling method.

KW - data center

KW - decision making

KW - energy efficiency

KW - mathematical modelling

KW - multi-agent control

KW - multiple cooling systems

KW - simulation

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U2 - 10.1109/IECON.2017.8217544

DO - 10.1109/IECON.2017.8217544

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 - 8785

EP - 8790

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, Berezovskaya Y, Vyatkin V, Zhang X. Energy efficient decision making in data centers with multiple cooling methods. julkaisussa Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vuosikerta 2017-January. IEEE. 2017. s. 8785-8790. ( Proceedings of the Annual Conference of the IEEE Industrial Electronics Society). doi: 10.1109/IECON.2017.8217544

Energy efficient decision making in data centers with multiple cooling methods

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