TY - GEN
T1 - Leveraging Digital Twins for Smart Hydropower
T2 - 31st European Conference on Systems, Software and Services Process Improvement, EuroSPI 2024
AU - Krug, Thomas
AU - Veledar, Omar
AU - Macher, Georg
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/9/7
Y1 - 2024/9/7
N2 - 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.
AB - 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.
KW - Co-Simulation
KW - Cyber-Physical Systems
KW - Digital Twin
KW - Hydropower
KW - Industrial Control Systems
KW - Predictive Maintenance
UR - http://www.scopus.com/inward/record.url?scp=85204568411&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-71139-8_18
DO - 10.1007/978-3-031-71139-8_18
M3 - Conference paper
AN - SCOPUS:85204568411
SN - 9783031711381
T3 - Communications in Computer and Information Science
SP - 260
EP - 272
BT - Systems, Software and Services Process Improvement - 31st European Conference, EuroSPI 2024, Proceedings
A2 - Yilmaz, Murat
A2 - Clarke, Paul
A2 - Riel, Andreas
A2 - Messnarz, Richard
A2 - Greiner, Christian
A2 - Peisl, Thomas
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 4 September 2024 through 6 September 2024
ER -