Optimization of the Power Conversion System for a Pulsed Fusion Power Plant with Multiple Heat Sources using a Dynamic Process Model

The optimization of the power conversion system, responsible for thermal-to-electrical energy conversion, for a pulsed fusion power plant is presented. A spherical tokamak is modelled as three heat sources, all pulsed, with different stream temperatures and available amounts of heat. A thermal energy storage system is considered in the design to compensate for the lack of thermal power during a dwell. Thermal storage enables continued power generation during a dwell and can avoid thermal transients in sensitive components like turbomachines. Multiple lower grade heat sources are integrated into the process through parallel preheating trains. The evaluation of a dynamic model of the power conversion system is used to define an objective function with multiple criteria. A bi-objective optimization problem is defined to investigate the trade-off between the size of the thermal energy storage system and the variability in turbine power output during a dwell. The set of non-dominated designs demonstrates the trade-off, with designs covering the range from steady state turbine power output to a design that reduces the turbine power output by 46.3% during a dwell. The dynamics of three non-dominated designs demonstrate the power conversion system can maintain relatively stable conditions at the turbine inlet under different operating conditions, but molten salt temperature control is an issue.

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Publication Details

Journal
Systems and Control Transactions
Published
2025-06-30
DOI
https://doi.org/10.69997/sct.189049
Primary Topic
Fusion materials and technologies
Type
article
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article

Optimization of the Power Conversion System for a Pulsed Fusion Power Plant with Multiple Heat Sources using a Dynamic Process Model

Eric S. Fraga, Oliver Ward, D. Blackburn, Federico Galvanin et al.
Systems and Control Transactions
Fusion materials and technologies
article

Optimization of the Power Conversion System for a Pulsed Fusion Power Plant with Multiple Heat Sources using a Dynamic Process Model

Eric S. Fraga, Oliver Ward, D. Blackburn, Federico Galvanin, Robert J. Warren, Nelia Jurado
article en

Abstract

The optimization of the power conversion system, responsible for thermal-to-electrical energy conversion, for a pulsed fusion power plant is presented. A spherical tokamak is modelled as three heat sources, all pulsed, with different stream temperatures and available amounts of heat. A thermal energy storage system is considered in the design to compensate for the lack of thermal power during a dwell. Thermal storage enables continued power generation during a dwell and can avoid thermal transients in sensitive components like turbomachines. Multiple lower grade heat sources are integrated into the process through parallel preheating trains. The evaluation of a dynamic model of the power conversion system is used to define an objective function with multiple criteria. A bi-objective optimization problem is defined to investigate the trade-off between the size of the thermal energy storage system and the variability in turbine power output during a dwell. The set of non-dominated designs demonstrates the trade-off, with designs covering the range from steady state turbine power output to a design that reduces the turbine power output by 46.3% during a dwell. The dynamics of three non-dominated designs demonstrate the power conversion system can maintain relatively stable conditions at the turbine inlet under different operating conditions, but molten salt temperature control is an issue.

Systems and Control TransactionsVol. 4
Culham Science Centre (GB), University College London (GB), United Kingdom Atomic Energy Authority (GB)
Openalex Percentile: Top 89%
Fusion materials and technologies
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Optimization of the Power Conversion System for a Pulsed Fusion Power Plant with Multiple Heat Sources using a Dynamic Process Model — Eric S. Fraga, Oliver Ward, et al. · Systems and Control Transactions (2025) | TGRS Research Map | TGRS