Leveraging Digital Twins for Smart Hydropower: A Pathway to Industry 4.0

Thomas Krug*, Omar Veledar, Georg Macher

*Corresponding author for this work

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

Abstract

The convergence of Industry 4.0 and digitalization efforts is fueling a surge in industrial digital transformation, with a particular focus on integrating Digital Twins (DTs) to automate and virtualize control systems. The overarching goal is to continuously optimize the underlying cyber-physical systems, thereby enhancing sustainability across various domains. The data-driven concept of DTs pushes towards the creation of a virtual replica of a physical object, which in our case is a power plant. The resulting software counterpart mirrors the real object’s key properties and behaviors within a specific application. The common target is to leverage DTs for earlier and more comprehensive product and project validation, enabling pre-delivery testing of functionalities previously limited to on-site checks, thus boosting quality and productivity and enabling post-commissioning and life-cycle management. Our specific aim is to enable knowledge transfer between operations and maintenance of the power plant and the product and project development processes. To that aim, our survey informs of current digital-twin practices in the context of hydropower plants. The outcomes are the basis for further research in the field to materialize the promising benefits (e.g., efficiency improvement, anomaly detection, etc.) for the design and operation of hydropower installations.

Original languageEnglish
Title of host publicationSystems, Software and Services Process Improvement - 31st European Conference, EuroSPI 2024, Proceedings
EditorsMurat Yilmaz, Paul Clarke, Andreas Riel, Richard Messnarz, Christian Greiner, Thomas Peisl
PublisherSpringer Science and Business Media Deutschland GmbH
Pages260-272
Number of pages13
ISBN (Print)9783031711381
DOIs
Publication statusPublished - 7 Sept 2024
Event31st European Conference on Systems, Software and Services Process Improvement, EuroSPI 2024 - Munich, Germany
Duration: 4 Sept 20246 Sept 2024

Publication series

NameCommunications in Computer and Information Science
Volume2179 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference31st European Conference on Systems, Software and Services Process Improvement, EuroSPI 2024
Country/TerritoryGermany
CityMunich
Period4/09/246/09/24

Keywords

  • Co-Simulation
  • Cyber-Physical Systems
  • Digital Twin
  • Hydropower
  • Industrial Control Systems
  • Predictive Maintenance

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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