TY - JOUR
T1 - On Modelling of Edge Datacentre Microgrid for Participation in Smart Energy Infrastructures
AU - Galkin, Nikolai
AU - Yang, Chen-Wei
AU - Berezovskaya, Yulia
AU - Vesterlund, Mattias
AU - Vyatkin, Valeriy
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Biological system modeling
KW - Microgrids
KW - Renewable energy sources
KW - Cooling
KW - Load modeling
KW - Uninterruptible power systems
KW - Data models
UR - http://www.scopus.com/inward/record.url?scp=85122278310&partnerID=8YFLogxK
U2 - 10.1109/OJIES.2021.3138537
DO - 10.1109/OJIES.2021.3138537
M3 - Article
SN - 2644-1284
VL - 3
SP - 50
EP - 64
JO - IEEE Open Journal of the Industrial Electronics Society
JF - IEEE Open Journal of the Industrial Electronics Society
M1 - 9664236
ER -