alexa Dynamic Energy Modelling for Data Centres: Experimental and Numerical Analysis
ISSN: 2090-4541

Journal of Fundamentals of Renewable Energy and Applications
Open Access

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Research Article

Dynamic Energy Modelling for Data Centres: Experimental and Numerical Analysis

Eduard Oró1*, Alvaro Vergara2,3 and Jaume Salom1

1Catalonia Institute for Energy Research, IREC, Spain

2University of Freiburg, Friedrichstr 39, 79098, Freiburg, Germany

3Pontificia Universidad Católica de Chile, Santiago, Chile

Corresponding Author:
Eduard Oró
Catalonia Institute for Energy Research
IREC. Jardins de les Dones de Negre 1
08930, Sant Adrià de Besòs (Barcelona),Spain
Tel: +34 933 562 615
E-mail: [email protected]

Received date: October 30, 2015 Accepted date: December 10, 2015 Published date: December 14, 2015

Citation: Oró E, Vergara A, Salom J (2015) Dynamic Energy Modelling for Data Centres: Experimental and Numerical Analysis. J Fundam Renewable Energy Appl 6:197`. doi:10.4172/2090-4541.1000197

Copyright: © 2015 Oró E, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



The total energy demand of data centres has experienced an important increase in the last years. Due to their unique nature, data centres demand enormous amounts of energy. Therefore, they are ideal candidates for implementing actions to reduce the energy consumption and thus improve their ecological footprint while at the same time reduce their operational costs. The aim of this work is to develop and to validate with experimental data a dynamic energy model of a real data centre located in Barcelona. The dynamic energy model is then used first to characterize the energy consumption and the energy efficiency of the infrastructure and second to see the benefits of the implementation of different energy efficiency strategies into the data centre cooling system portfolio. The results show an average Power Effective Usage (PUE) of 1,74 while some of the proposed strategies can achieve important energy reductions, up to 21%, in the cooling energy consumption. Therefore, the combination of them can achieve important reductions in the overall data centre energy consumption. The validated energy model can then be used to study the benefit of the implementation of different energy efficiency strategies in other data centres.


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