Energy-data-related digital twin for office building and data centre complex

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

This paper describes the developed digital twin of an office building and data centre complex. The definition of how a digital twin used here is that it looks the same and behaves in the same way as the real counterpart. This is implemented with integration of the Building Information Model (BIM), energy measurements and predictions of energy consumptions of the building with neural networks. A 3D viewer is used to enable the visual analysis of the energy consumption of different parts of the building.

Original languageEnglish
Title of host publicationProceedings of the 37th Conference on Design of Circuits and Integrated Circuits, DCIS 2022
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages1-5
Number of pages5
ISBN (Electronic)978-1-6654-5950-1
DOIs
Publication statusPublished - 8 Dec 2022
MoE publication typeA4 Article in a conference publication
Event37th Conference on Design of Circuits and Integrated Circuits, DCIS 2022 - Pamplona, Spain
Duration: 16 Nov 202218 Nov 2022

Conference

Conference37th Conference on Design of Circuits and Integrated Circuits, DCIS 2022
Country/TerritorySpain
CityPamplona
Period16/11/2218/11/22

Keywords

  • ANN model
  • BIM
  • BIM model server
  • data centre
  • data platform
  • deep learning
  • digital twin
  • energy consumption
  • energy data transfer
  • machine learning
  • prosumer
  • Stardust
  • virtual model

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