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ASSESSMENT OF A DATA CENTER MICROGRID WITH STORAGE AND PHOTOVOLTAIC GENERATION

Authors: LET, DORIN DACIAN; IOAN ALIN BUCURICA; ION VALENTIN GURGU; LAURENTIU STANCU; ANDREEA MIHAELA LET; GIORGIAN MARIUS IONITA;

ASSESSMENT OF A DATA CENTER MICROGRID WITH STORAGE AND PHOTOVOLTAIC GENERATION

Abstract

On-premises Data Centers have constant high energy demands, they represent an olways-on load at buildings energy balance level. By separating such a load in behind a microgrid system with storage and photovoltaic generation, important CO2 reductions could be achieved. This paper presents the results of such an implementation analyzed from a technical and economical point of view. The pilot installation is analized based on a 3-year data set, measurements consisting in: consumption, PV production, imported energy and storage operation. The pilot achieved for 2017 a 59.66% PV energy coverage from its total usage, thus a financial economy of estimated 3300 Euro from the energy bills. Based on the simulation results the Return of Investment is at the end of the operational lifetime of the installation considering no state incentives nor energy export sold back to the grid. A total of 22.4 T/year CO2 emissions are avoided.

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Keywords

IT infrastructure, Return of Investment, Off-Grid photovoltaic, Energy Management, Economic analysis, Self consumption PV, Energy Self-Sufficiency, Data Center

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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