Treffer: Enhancing Fuel Performance of Molten Salt Reactors Through Improved Thermophysical Property Data, High-Fidelity Simulation, and Advanced Control Strategies

Title:
Enhancing Fuel Performance of Molten Salt Reactors Through Improved Thermophysical Property Data, High-Fidelity Simulation, and Advanced Control Strategies
Source:
Theses and Dissertations
Publisher Information:
BYU ScholarsArchive
Publication Year:
2025
Collection:
Brigham Young University (BYU): ScholarsArchive
Document Type:
Fachzeitschrift text
File Description:
application/pdf
Language:
unknown
Accession Number:
edsbas.E4AB7406
Database:
BASE

Weitere Informationen

The deployment of molten salt reactors (MSRs) as next-generation nuclear technology requires accurate thermophysical property data, validated system models, and advanced control strategies to ensure safe and economically competitive operation. This dissertation, Enhancing Fuel Performance of Molten Salt Reactors Through Improved Thermophysical Property Data, High-Fidelity Simulation, and Advanced Control Strategies, integrates experimental measurements, thermal hydraulic simulation, and model predictive control (MPC) to enhance understanding of MSR fuel behavior under steady state and transient conditions. New density and heat capacity measurements of UF4-FLiNaK molten salts were obtained using Archimedean and differential scanning calorimetry methods, respectively, to address critical gaps for fueled salts. These measurements revealed undocumented thermodynamic transitions with implications for heat transfer modeling and safety analysis. A full-system RELAP5-3D model of the BYU Molten Salt Microreactor, coupled with a sodium cooling loop and supercritical CO2, was developed to simulate fuel performance and safety margins. A loss of flow accident is analyzed throughout this work. Experimental data were used to develop custom fluid property tables, which were incorporated into RELAP5-3D. Comparisons between standard and custom fluid file usage are analyzed. Advanced control strategies were developed to examine the reactivity control aspects of the RELAP5-3D reactor. Python GEKKO was used to create an MPC to adjust the reactivity of the reactor based on temperature setpoints during steady state and transient operation. Effective reactivity optimization was accomplished. Additionally, an MPC controller was developed for a small modular reactor (SMR) to examine the load-following ability of nuclear power plants. The controller effectively matched electricity supply and demand and reduced mismatch by 300 MW when compared to previous work. This dissertation provides validated thermophysical property data, improves ...