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Preliminary analysis of typical accidents of CFETR helium-cooled solid breeder blanket system based on COSINE

  • Zhenze Zhang ORCID logo , Tianze Bai , Changhong Peng EMAIL logo , Yifei Wang and Bin Luo
Published/Copyright: April 14, 2025
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Abstract

Blankets are an important component of fusion reactors and the key object of thermal design and safety analysis. The helium-cooled solid breeder (HCSB) blanket is one of the three candidate tritium breeding blanket concepts for the Chinese Fusion Engineering Test Reactor (CFETR). Fusion reactors’ thermal design and safety analysis are mostly based on fission reactor procedures worldwide. In this paper, based on the system safety analysis module cosSyst in the COSINE code package of China’s independently developed system safety analysis code for pressurized water reactors, functional development was carried out for the helium-cooled blanket of fusion reactor, and helium physical property envelope and corresponding heat transfer model were added. The modified code was used to analyze three typical accidents with the blanket and the combined helium cooling system (HCS): In-Vessel LOCA, In-Box LOCA, and Ex-Vessel LOCA. The research findings indicate that under the three accident scenarios, the first wall and the cooling loop system maintained their structural integrity, with no melting or exceeding pressure limits.


Corresponding author: Changhong Peng, Department of Nuclear Engineering, School of Nuclear Science and Technology, University of Science and Technology of China, No.96, Jinzhai Road, Baohe District, Hefei, 230026, China, E-mail:

Funding source: The National Magnetic Confinement Fusion Program of China

Award Identifier / Grant number: Grant Nos.2019YFE03110000 and 2019YFE03110001.

Acknowledgments

This work is supported by the National Magnetic Confinement Fusion Program of China under Grant Nos.2019YFE03110000 and 2019YFE03110001.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: The National Magnetic Confinement Fusion Program of China. Grant Nos.2019YFE03110000 and 2019YFE03110001.

  7. Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2024-12-25
Accepted: 2025-03-27
Published Online: 2025-04-14
Published in Print: 2025-06-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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