Digital Technologies for SMR Safety and EPS Development
WS Co-Chairs
![]() | DrS. Eugene Brezhniev Professor of the Computer Systems, Networks and Cybersecurity Department, Radio Electronics, Computer Systems and Infocommunications Faculty, National Aerospace University “KhAI”, Ukraine. National expert of TC 99 in the international standardization organization IEC TC SC-45A IEC TC SC-45A (working group №7, Functional and safety fundamentals of instrumentation, control and electrical power systems) Contact: e.brezhnev@csn.khai.edu |
![]() | Sergii SAUKH, Prof., Dr.Sc, Corresponding Member of NAS of Ukraine, Head of Department of Mathematical and Econometric Modeling, G.E. Pukhov Institute for Modeling in Energy Engineering (PIMEE) of the National Academy of Sciences (NAS) of Ukraine, Contact: ssaukh@pimee.edu.ua |
Topic: Digital Technologies for SMR Safety and EPS Development, DiT4SMRES
Background. Decarbonization is a modern strategy for the development of electric power systems (EPS) in many countries of the world. Such strategy for the development of the EPS is not self-sufficient in the conditions of destructive terrorist and military actions. Another energy strategy needs mandatory implementation – the construction of a structurally variable EPS, that is, one whose purposeful damage does not lead to long-term blackouts of large groups of consumers. The construction of a structurally variable EPS of the country necessitates the development of regional EPS with strengthened and multiple connections among themselves.
The development of models of regional EPS and the model of structurally variable EPS of the country is a necessary condition for planning their optimal development. A feature of EPS mathematical models is their presentation in the form of large-dimensional mixed-integer linear programming (MILP) problems. The existing high-performance software solvers implemented in single-processor computer systems are not able to provide a solution to the current problems of EPS modeling in an acceptable time.
A reliable, balanced and well maintained EPS is crucial for bringing new SMR online and operating them cost-effectively and safely. There are more than 80 SMR designs under development globally, spanning from light water reactors, high temperature gas cooled reactors to liquid metal fast reactors and molten salt reactors.
Digital technologies, such as artificial intelligence, digitally controlled operations, cloud computing, big data, IoT, internet of drones, wireless and automated technologies, provide solutions for existing “big” NPP helping them to increase safety, plant performance and optimize maintenance.
What is the future role of digital technologies in SMR and EPS in general?
If SMRs are expected to be safer, efficient only due to size, modularity, scalability features? Could digital technologies accelerate SMR deployment and ensure the long-term success of nuclear power?
Many SMR technologies are based on the concept of “safe & secure by design”. Shall SMRs be also “digitized” by design embracing the new technology already on design stage? Or shall they be incorporated during operational stages as it goes with the “big” NPPs?
Many questions, just few answers.
The overall objectives of this workshop are to look at perspectives of application of digital technologies to support SMR safe and secure design and operation, discuss challenges and identify technologies to assist SMR successful deployment.
Topics:
- Mathematical models of EPS load in the tasks of short- and long-term planning of generating capacities progress
- Simulation environments for solving the problems of the progress planning for generating capacities of EPS with renewable and nuclear energy sources
- Digital infrastructure and I&C systems of SMR and energy grids
- Safety, cybersecurity and resilience of Industry 4.0 and 5.0. SMR context
- AI for design technology and decision making in development, deployment and operation of SMRs
- Big Data Analytics for SMR safety and security
- Robotics and machine vision for SMRs
- Embedded PLC/FPGA technologies for SMR I&Cs
- UAV fleets and moble systems for monitoring and technical inspection of SMR
- Cloud computing and IoT for SMR Digital infrastructure and I&C systems


