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A new indicator for a fair comparison on the energy performance of data centers
Mälardalen University, School of Innovation, Design and Engineering. Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Tsinghua Univ, Key Lab Thermal Sci & Power Engn, Minist Educ, Beijing, Peoples R China.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. AGH Univ Sci & Technol, Krakow, Poland.ORCID iD: 0000-0001-9576-7877
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Hubei Univ Arts & Sci, Sch Mech Engn, Xiangyang, Hubei, Peoples R China.ORCID iD: 0000-0002-6279-4446
Xi An Jiao Tong Univ, Key Lab Thermofluids Sci & Engn, Minist Educ, Xian, Shaanxi, Peoples R China.
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2020 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 276, article id 115497Article in journal (Refereed) Published
Abstract [en]

The power usage effectiveness (PUE) is commonly used as the key performance indicator to evaluate the energy performance of data centers. However, using only PUE cannot enable a fair comparison when data centers are operating in different regions, due to the unneglectable impacts of climatic conditions on the power consumption of cooling systems. To solve this problem, a new indicator, coefficient of PUE (COPUE), is proposed, which is defined as the ratio of the measured PUE of real data centers to the local benchmark PUE. The benchmark PUE is reckoned based on the current most commonly used cooling technology, which consists of water-cooled chillers and water cooling towers. A simplified method for calculating benchmark PUE is also developed. The degree hour of water cooling is introduced to consider the impacts of local climatic conditions. It presents the annual accumulated hours, in which chilled water is needed to satisfy the cooling demand of data centers. Through several case studies, COPUE has been proved to be an effective indicator for comparing the energy performance of data centers. When the same cooling technology is adopted, it can reflect how good the design and operation are; while, when different cooling technologies are adopted, it can be used to demonstrate which one is superior. 

Place, publisher, year, edition, pages
Oxford: Elsevier Ltd , 2020. Vol. 276, article id 115497
Keywords [en]
Climatic conditions, Coefficient of PUE (COPUE), Cooling technology, Data center, Energy efficiency, Power usage effectiveness (PUE), Benchmarking, Cooling systems, Cooling water, Design and operations, Energy performance, Key performance indicators, Simplified method, Water-cooled chillers, Green computing
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-49485DOI: 10.1016/j.apenergy.2020.115497ISI: 000571786500006Scopus ID: 2-s2.0-85088018422OAI: oai:DiVA.org:mdh-49485DiVA, id: diva2:1456746
Available from: 2020-08-06 Created: 2020-08-06 Last updated: 2022-11-08Bibliographically approved

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Li, JianJurasz, JakobLi, HailongYan, Jinyue

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