On Modelling of Edge Datacentre Microgrid for Participation in Smart Energy Infrastructures
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Galkin, Nikolai | |
dc.contributor.author | Yang, Chen-Wei | |
dc.contributor.author | Berezovskaya, Yulia | |
dc.contributor.author | Vesterlund, Mattias | |
dc.contributor.author | Vyatkin, Valeriy | |
dc.contributor.department | Luleå University of Technology | |
dc.contributor.department | RISE Research Institutes of Sweden | |
dc.contributor.department | Department of Electrical Engineering and Automation | |
dc.date.accessioned | 2022-02-16T07:40:36Z | |
dc.date.available | 2022-02-16T07:40:36Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Datacentres are becoming a sizable part of the energy system and are one of the biggest consumers of the energy grid. The so-called Green Datacentre is capable of not only consuming but also producing power, thus becoming an important kind of prosumers in the electric grid. Green datacentres consist of a microgrid with a backup uninterrupted power supply and renewable generation, e.g., using photovoltaic panels. As such, datacentres could realistically be important participants in demand / response applications. However, this requires reconsidering their currently rigid control and automation systems and the use of simulation models for online estimation of the control actions impact. This paper presents such a microgrid simulation model modelled after a real edge datacentre. A case study consumption scenario is presented for the purpose of validating the developed microgrid model against data traces collected from the green edge datacentre. Both simulation and real-time validation tests are performed to validate the accuracy of the datacentre model. Then the model is connected to the automation environment to be used for the online impact estimation and virtual commissioning purposes. | en |
dc.description.version | Peer reviewed | en |
dc.format.extent | 15 | |
dc.format.extent | 50-64 | |
dc.format.mimetype | application/pdf | |
dc.identifier.citation | Galkin , N , Yang , C-W , Berezovskaya , Y , Vesterlund , M & Vyatkin , V 2022 , ' On Modelling of Edge Datacentre Microgrid for Participation in Smart Energy Infrastructures ' , IEEE Open Journal of the Industrial Electronics Society , vol. 3 , 9664236 , pp. 50-64 . https://doi.org/10.1109/OJIES.2021.3138537 | en |
dc.identifier.doi | 10.1109/OJIES.2021.3138537 | |
dc.identifier.issn | 2644-1284 | |
dc.identifier.other | PURE UUID: 975b7907-cb9e-4757-a4bc-e441ce7307e4 | |
dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/975b7907-cb9e-4757-a4bc-e441ce7307e4 | |
dc.identifier.other | PURE LINK: http://www.scopus.com/inward/record.url?scp=85122278310&partnerID=8YFLogxK | |
dc.identifier.other | PURE FILEURL: https://research.aalto.fi/files/79167646/ELEC_Galkin_etal_On_Modelling_of_Edge_Datacentre_Microgrid_for_Participation_in_Smart_Energy_IEEE_OJIES_2022.pdf | |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/113038 | |
dc.identifier.urn | URN:NBN:fi:aalto-202202161930 | |
dc.language.iso | en | en |
dc.publisher | URSI/IEEE | |
dc.relation.ispartofseries | IEEE Open Journal of the Industrial Electronics Society | en |
dc.relation.ispartofseries | Volume 3 | en |
dc.rights | openAccess | en |
dc.subject.keyword | Biological system modeling | |
dc.subject.keyword | Microgrids | |
dc.subject.keyword | Renewable energy sources | |
dc.subject.keyword | Cooling | |
dc.subject.keyword | Load modeling | |
dc.subject.keyword | Uninterruptible power systems | |
dc.subject.keyword | Data models | |
dc.title | On Modelling of Edge Datacentre Microgrid for Participation in Smart Energy Infrastructures | en |
dc.type | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä | fi |
dc.type.version | publishedVersion |