Integration of Control Methods and Digital Twins for Advanced Nuclear Reactors
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Advanced nuclear reactors offer a new set of features to energy generation, due to their ability to adapt to variable energy demand, operate autonomously, be deployed in rural locations and monitored remotely, afford compact size and lower power ratings, and rely on novel technologies to achieve safer operations. Thus, a requirement for the success of these reactors is the use of intelligent forms of control to track changing power demands, make autonomous decisions, and reduce the need for human involvement. Regulatory requirements pertaining to control of nuclear reactors could be met via historical means of control; however, these are not expected to enable the level of highly autonomous operations desired in advanced nuclear reactors. Historical control methods rely on both logical and high-performance (HP) control. These two types of control are usually used separately, with a human element being introduced whenever decisions are cascaded from one science to another. AI/ML control, on the other hand, can replace the human element in the current U.S. fleet of nuclear power plants (NPPs) by acting as a supervisory optimizer that understands the plant internal/external variables in order to make control decisions, and can easily handle non-linear and multi-input/multi out (MIMO) decisions—another requirement for advanced nuclear reactors that could be difficult to handle via logical and HP control. Because of the harsh operating environments produced in advanced reactors, resulting in the frequent failure of sensors and other types of equipment, and considering the lack of operating history for advanced nuclear reactors, control of advanced nuclear reactors would necessitate relying on a model that can track and adapt to the actual process (i.e., a digital twin). This digital twin can make approximations when knowledge and data are unavailable and would evolve as more knowledge is gained. The reactor control must also be risk-informed to account for the high-consequence nature of advanced reactors. This report introduces a high-level (i.e., not method- or process-specific) integration of the three different control and digital twinning methods able to meet the requirements for advanced nuclear reactors. These methods could be applied during both the operational and design stages of these reactors. The aim is to demonstrate how each method interfaces with and highlights enabling solutions necessitated by the unique features of advanced nuclear reactors.
- Research Organization:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Organization:
- USDOE Office of Nuclear Energy (NE)
- DOE Contract Number:
- AC07-05ID14517
- OSTI ID:
- 1924292
- Report Number(s):
- INL/RPT--22-69937-Rev.0
- Country of Publication:
- United States
- Language:
- English
Similar Records
Integrating Control Methods and Digital Twins for Advanced Nuclear Reactors
Modeling for a Digital Twin-Based Remote Operation System Framework
Autonomous Control of Nuclear Power Plants
Conference
·
Sat Jul 15 00:00:00 EDT 2023
·
OSTI ID:2468629
Modeling for a Digital Twin-Based Remote Operation System Framework
Conference
·
Thu Jun 20 00:00:00 EDT 2024
·
OSTI ID:2356782
Autonomous Control of Nuclear Power Plants
Technical Report
·
Mon Oct 20 00:00:00 EDT 2003
·
OSTI ID:885601