Review, Numerical Validation, and Experiment Verification for Definite Solution Analogy Theory (Dsat) in Thermal-Hydraulic Scaling
68 Pages Posted: 13 May 2024
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Review, Numerical Validation, and Experiment Verification for Definite Solution Analogy Theory (Dsat) in Thermal-Hydraulic Scaling
Review, Numerical Validation, and Experiment Verification for Definite Solution Analogy Theory (Dsat) in Thermal-Hydraulic Scaling
Abstract
The new generation of reactor technology: Fluoride-Salt-cooled high-Temperature Advanced Reactor (FuSTAR), mainly applied to the steady supply of stable electricity and high-temperature process heat for remote, underground, and arid areas. So far, the design of the heat transport system and Passive Residual Heat Removal System (PRHRS) of FuSTAR has been finished, but the scaling and experiment verification still needs to be carried out. In this study, the Definite Solution Analogy Theory (DSAT) was used for scaling analysis, and the scaling experiment platform of PRHRS was built. DSAT was verified through numerical simulation and experiment results, which can support the design and optimization of the PRHRS. The numerical test results show that the similar distribution of physical fields in dimensionless space on the prototype and experiment is realized under the DSAT framework. The steady-state experiment results show that the prototype of PRHRS can take away more than 1% of the decay heat of the total thermal power and has a margin of about 15% under a stable natural cycle. The maximum deviation between the measured temperature and the calculated value with DSAT is more than 4°C. The transient experiment results show that the maximum deviation of dimensionless solutions is less than 4%, which proves the high accuracy of DSAT and the PRHRS based on this framework can effectively remove the decay heat in the reactor. This work can be used to extend the scaling method of thermal-hydraulic in high dimensional space and transient conditions.
Keywords: FuSTAR, Definite Solution Analogy Theory, Scaling
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