Digital Twins, a New Step for Long Term Operation of Nuclear Power Plants

Varé, Christophe; Morilhat, P.

doi:10.1007/978-3-030-48021-9_11

Cited by 6 publications

(16 citation statements)

References 4 publications

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“…One of the first improvements highlighted by the researchers concerns the global monitoring of the building and its equipment. Thanks to the centralised database provided by the DT, the different stakeholders obtain easier access to data related to the equipment they want to monitor [16,22,26,34,35,39,43,[46][47][48][49][50][51][52][53]. For example, Peng et al created a specific platform that allowed them to visualise in real time both the status of all the equipment in a hospital and the occupation of its different rooms [35].…”

Section: Improvements For Monitoringmentioning

confidence: 99%

“…For example, Peng et al created a specific platform that allowed them to visualise in real time both the status of all the equipment in a hospital and the occupation of its different rooms [35]. This centralisation also helps to filter the large number of data that can be collected through the use of smart sensors [49,52] and to select meaningful data depending on the role of the user [47,51]. The specification of the data needed to effectively evaluate the system can be performed by the different actors of the project using the centralised DT.…”

Section: Improvements For Monitoringmentioning

confidence: 99%

“…The specification of the data needed to effectively evaluate the system can be performed by the different actors of the project using the centralised DT. It allows for collaboration, allowing all the actors to contribute their own expertise in the data they need to effectively monitor the building [26,34,44,51]. Varé et al have proposed a digital representation of a nuclear container that can be used by different teams (research, measurement and engineering) to exchange the information they need [51].…”

Section: Improvements For Monitoringmentioning

confidence: 99%

“…The centralisation of data also helps the stakeholders to monitor the building together and communicate their different analyses to the others by using the shared database and the link between the data and the equipment. This help in communication between the different actors throughout the project lifecycle provides the possibility to prevent isolation of data in their respective phases and thus a possible loss of important knowledge for further phases [22,[33][34][35]51]. These benefits in monitoring can also help to optimise the global energy consumption and the exploitation costs of the building [29,[37][38][39][40]54,55] during the inspection and maintenance planning phases.…”

Section: Improvements For Monitoringmentioning

confidence: 99%

“…The occupancy of the building is another type of data that can be used to optimise the proposed procedures [35,54], which can help with cleaning and maintenance procedures by preventing any interruption of tasks, or even to optimise energy consumption for unused rooms. The algorithms included in the centralised DT environment can be used by all authorised stakeholders to plan the maintenance procedures in a collaborative manner between the different professions [51,65].…”

Section: Improvements For Planningmentioning

confidence: 99%

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BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review

Noblecourt²,

et al. 2021

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In recent years, the use of digital twins (DT) to improve maintenance procedures has increased in various industrial sectors (e.g., manufacturing, energy industry, aerospace) but is more limited in the construction industry. However, the operation and maintenance (O&M) phase of a building’s life cycle is the most expensive. Smart buildings already use BIM (Building Information Modeling) for facility management, but they lack the predictive capabilities of DT. On the other hand, the use of extended reality (XR) technologies to improve maintenance operations has been a major topic of academic research in recent years, both through data display and remote collaboration. In this context, this paper focuses on reviewing projects using a combination of these technologies to improve maintenance operations in smart buildings. This review uses a combination of at least three of the terms “Digital Twin”, “Maintenance”, “BIM” and “Extended Reality”. Results show how a BIM can be used to create a DT and how this DT use combined with XR technologies can improve maintenance operations in a smart building. This paper also highlights the challenges for the correct implementation of a BIM-based DT combined with XR devices. An example of use is also proposed using a diagram of the possible interactions between the user, the DT and the application framework during maintenance operations.

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Section: Improvements For Monitoringmentioning

confidence: 99%

Section: Improvements For Monitoringmentioning

confidence: 99%

Section: Improvements For Monitoringmentioning

confidence: 99%

Section: Improvements For Monitoringmentioning

confidence: 99%

Section: Improvements For Planningmentioning

confidence: 99%

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BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review

Noblecourt²,

et al. 2021

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Verification of Numerical Three-Dimensional Models of Auger Centrifugal Stages for Cavitation Calculation Using the Rayleigh-Plesset Model

Chistyakov

Petrov

Fomin³

2022

Cyber-Physical Systems: Modelling and Industrial Application

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Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities

Dong

2022

Nat Hazards

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Natural hazards, which have the potential to cause catastrophic damage and loss to infrastructure, have increased significantly in recent decades. Thus, the construction demand for disaster prevention and mitigation for infrastructure (DPMI) systems is increasing. Many studies have applied intelligence technologies to solve key aspects of infrastructure, such as design, construction, disaster prevention and mitigation, and rescue and recovery; however, systematic construction is still lacking. Digital twin (DT) is one of the most promising technologies for multi-stage management which has great potential to solve the above challenges. This paper initially puts forward a scientific concept, in which DT drives the construction of intelligent disaster prevention and mitigation for infrastructure (IDPMI) systematically. To begin with, a scientific review of DT and IDPMI is performed, where the development of DT is summarized and a DT-based life cycle of infrastructures is defined. In addition, the intelligence technologies used in disaster management are key reviewed and their relative merits are illustrated. Furthermore, the development and technical feasibility of DT-driven IDPMI are illustrated by reviewing the relevant practice of DT in infrastructure. In conclusion, a scientific framework of DT-IDPMI is programmed, which not only provides some guidance for the deep integration between DT and IDPMI but also identifies the challenges that inspire the professional community to advance these techniques to address them in future research.

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Digital Twins, a New Step for Long Term Operation of Nuclear Power Plants

Cited by 6 publications

References 4 publications

BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review

BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review

Verification of Numerical Three-Dimensional Models of Auger Centrifugal Stages for Cavitation Calculation Using the Rayleigh-Plesset Model

Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities

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