Develop a dynamic MATLAB/Simulink model of an sCO₂ Brayton cycle for fusion reactor applications, and assess control strategies to ensure stable and efficient operation under transient conditions. Specific Objectives: build a dynamic model including turbomachinery, recuperators (e.g., printed-circuit heat exchangers), and the precooler, with accurate real-gas CO₂ properties near the critical point, implement a classical Proportional–Integral (PI) controller and evaluate transient performance.

Develop a dynamic MATLAB/Simulink model of an sCO₂ Brayton cycle for fusion reactor applications, and assess control strategies to ensure stable and efficient operation under transient conditions. Specific Objectives: build a dynamic model including turbomachinery, recuperators (e.g., printed-circuit heat exchangers), and the precooler, with accurate real-gas CO₂ properties near the critical point, implement a classical Proportional–Integral (PI) controller and evaluate transient performance.

Dynamic modelling and thermal control of a recuperated sCO₂ Brayton cycle for fusion applications

CULTRERA, FRANCESCA
2025/2026

Abstract

Develop a dynamic MATLAB/Simulink model of an sCO₂ Brayton cycle for fusion reactor applications, and assess control strategies to ensure stable and efficient operation under transient conditions. Specific Objectives: build a dynamic model including turbomachinery, recuperators (e.g., printed-circuit heat exchangers), and the precooler, with accurate real-gas CO₂ properties near the critical point, implement a classical Proportional–Integral (PI) controller and evaluate transient performance.
2025
Dynamic modelling and thermal control of a recuperated sCO₂ Brayton cycle for fusion applications
Develop a dynamic MATLAB/Simulink model of an sCO₂ Brayton cycle for fusion reactor applications, and assess control strategies to ensure stable and efficient operation under transient conditions. Specific Objectives: build a dynamic model including turbomachinery, recuperators (e.g., printed-circuit heat exchangers), and the precooler, with accurate real-gas CO₂ properties near the critical point, implement a classical Proportional–Integral (PI) controller and evaluate transient performance.
sCO₂ Brayton cycle
Dynamic modelling
PI control
Fusion
Simulink
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/113096