Developing a Digital Twin Framework for Remotely Monitoring Nuclear Reactor Facilities
- Idaho National Laboratory
The development of a digital twin must seek to represent all applicable functional components of the system of interest. Different expertise is required for the understanding of the physical system being modeled, compared to the skills needed for transforming those models into a functional digital twin through physics modeling, machine learning analysis, and visualization. The diversity of knowledge required necessitates a multi-disciplinary team to ensure that all details of a system are captured. Team members also need a method to verify that the data they generate within their domain can be effectively communicated to professionals in other fields. To address this challenge this work provides an approach for the development of a digital twin framework for remotely monitoring nuclear facilities. Through this, general knowledge of the framework is presented along with two examples to solidify the process. The AGN-201 digital twin and microreactor digital twin provide varying levels of complexity in a potential nuclear facility, where common threads are identified and lessons learned are provided. The goal of this research is to aid future researchers by providing a formula for a successful digital twin and in turn reducing the development time of digital twins of nuclear systems, specifically for remote monitoring.
- Research Organization:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Organization:
- USDOE Office of Nuclear Energy (NE); USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC07-05ID14517
- OSTI ID:
- 3013593
- Report Number(s):
- INL/JOU-25-86828
- Journal Information:
- Nuclear Engineering and Design, Journal Name: Nuclear Engineering and Design Journal Issue: PB Vol. 446
- Country of Publication:
- United States
- Language:
- English
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