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Potential of Energy Saving in a Data Center - Application of an Agent-based Modelling
Shandong University, China.
Shandong University, China.
Shandong University, China.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-6279-4446
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2017 (English)In: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 105, 3903-3908 p.Article in journal (Refereed) Published
Abstract [en]

Conventional approaches for modelling energy consumption for data center are limited to deal with the randomness, emergence and interdependence in energy systems. To fill the gap, an agent-based method was proposed and implemented to simulate the electricity consumption of a data center and to explore the potential of energy saving. The study found that a large amount of energy can be saved by dynamically operating the cooling load according to the practical load of the servers, namely 13% of the total energy consumption can be saved in the dynamic energy saving case (DESC) and 17% in the enhanced dynamic energy saving case (EDESC). The power usage effectiveness (PUE) of the data center can decrease from 1.71 in the original situation to 1.49 in the DESC and 1.42 in the EDESC. By contrast, the frequency of data backup has a heavy impact on the electricity consumption of the data center, while the frequency of computing tasks do not. 

Place, publisher, year, edition, pages
Elsevier Ltd , 2017. Vol. 105, 3903-3908 p.
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-35994DOI: 10.1016/j.egypro.2017.03.805Scopus ID: 2-s2.0-85020738587OAI: oai:DiVA.org:mdh-35994DiVA: diva2:1117996
Conference
8th International Conference on Applied Energy, ICAE 2016, 8 October 2016 through 11 October 2016
Available from: 2017-06-29 Created: 2017-06-29 Last updated: 2017-06-29Bibliographically approved

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CiteExportLink to record
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Citation style
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