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EDGE: Microgrid Data Center with Mixed Energy Storage
RISE Research Institutes of Sweden, Digital Systems, Data Science. Luleå University of Technology, Sweden.ORCID iD: 0000-0003-4293-6408
RISE Research Institutes of Sweden, Digital Systems, Data Science.
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0002-9759-5594
RISE Research Institutes of Sweden, Digital Systems, Data Science.
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2020 (English)In: e-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems, Association for Computing Machinery, Inc , 2020, p. 466-473Conference paper, Published paper (Refereed)
Abstract [en]

Low latency requirements are expected to increase with 5G telecommunications driving data and compute to EDGE data centers located in cities near to end users. This article presents a testbed for such data centers that has been built at RISE ICE Datacenter in northern Sweden in order to perform full stack experiments on load balancing, cooling, micro-grid interactions and the use of renewable energy sources. This system is described with details on both hardware components and software implementations used for data collection and control. A use case for off-grid operation is presented to demonstrate how the test lab can be used for experiments on edge data center design, control and autonomous operation. © 2020 Author.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2020. p. 466-473
Keywords [en]
Batteries, Data centers, Edge, Microgrid, Monitoring, Thermal Energy Storage, Microgrids, Renewable energy resources, Smart power grids, Autonomous operations, Data collection, Hardware components, Low latency, Northern sweden, Software implementation, Use of renewable energies, Digital storage
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-45627DOI: 10.1145/3396851.3402656Scopus ID: 2-s2.0-85088503483ISBN: 9781450380096 (print)OAI: oai:DiVA.org:ri-45627DiVA, id: diva2:1458850
Conference
11th ACM International Conference on Future Energy Systems, e-Energy 2020, 22 June 2020 through 26 June 2020
Note

 Funding details: Energimyndigheten, 2016-007959; Funding details: VINNOVA, ITEA3-17002; Funding text 1: This study was supported by Vinnova grant ITEA3-17002 (AutoDC), and the Swedish Energy Agency grant 2016-007959 (DMI/SamspEL). The authors also thank the following companies for their generous support in building the testbed: Box Modul AB, Bensby Rostfria AB, Borö Pannan AB, Enoc System AB, CEJN AB and ABB Ltd.

Available from: 2020-08-18 Created: 2020-08-18 Last updated: 2025-09-23Bibliographically approved

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Brännvall, RickardGustafsson, JonasVesterlund, MattiasSummers, Jon

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