Study on modular design methodology of marine SMR system based on fuzzy hierarchical clustering and improved genetic algorithm

Marine Small Modular Reactors (MSMR) integrate SMR technology with ship technology, offering unique value in meeting the energy demands of the open ocean and remote islands. However, the design and construction of MSMR face challenges such as space constraints, complex system integration, and the ne...

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Published inProgress in nuclear energy (New series) Vol. 185; p. 105739
Main Authors Tang, Zhihong, Wang, Liyuan, Guo, Shusheng, Liang, Guopeng, Zhang, Wenjun, Zhang, Lide, Rui, Min, Guan, Guan, Wang, Yunlong
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.07.2025
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Online AccessGet full text
ISSN0149-1970
DOI10.1016/j.pnucene.2025.105739

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Abstract Marine Small Modular Reactors (MSMR) integrate SMR technology with ship technology, offering unique value in meeting the energy demands of the open ocean and remote islands. However, the design and construction of MSMR face challenges such as space constraints, complex system integration, and the need to adapt to advanced ship modular construction technologies. Therefore, efficient modular partitioning methods are required to enhance overall efficiency and reliability. The module partitioning of MSMR systems takes into account multiple factors and is a combinatorial optimization problem with performance constraints. This study aims to reflect the internal structure of the system hierarchical tree, provide clear guidance for module partitioning, and improve the computational efficiency of solving combinatorial problems. This paper propose a module division and optimization method for MSMR systems based on fuzzy hierarchical clustering and a genetic algorithm. Initially, the components of the small modular reactor power plant system are clustered into modules of different levels using fuzzy hierarchical clustering. Subsequently, a genetic algorithm is employed to solve the combinatorial optimization problem of the module division scheme, resulting in the optimal division scheme. The feasibility and effectiveness of the method are verified through the modular case of the Radioactive Waste Gas System (WGS). This method can provide guidance for the modularization design of the entire ocean modular reactor system. The method provided in this article can provide a research foundation for future modular design of MSMR and improve design efficiency.
AbstractList Marine Small Modular Reactors (MSMR) integrate SMR technology with ship technology, offering unique value in meeting the energy demands of the open ocean and remote islands. However, the design and construction of MSMR face challenges such as space constraints, complex system integration, and the need to adapt to advanced ship modular construction technologies. Therefore, efficient modular partitioning methods are required to enhance overall efficiency and reliability. The module partitioning of MSMR systems takes into account multiple factors and is a combinatorial optimization problem with performance constraints. This study aims to reflect the internal structure of the system hierarchical tree, provide clear guidance for module partitioning, and improve the computational efficiency of solving combinatorial problems. This paper propose a module division and optimization method for MSMR systems based on fuzzy hierarchical clustering and a genetic algorithm. Initially, the components of the small modular reactor power plant system are clustered into modules of different levels using fuzzy hierarchical clustering. Subsequently, a genetic algorithm is employed to solve the combinatorial optimization problem of the module division scheme, resulting in the optimal division scheme. The feasibility and effectiveness of the method are verified through the modular case of the Radioactive Waste Gas System (WGS). This method can provide guidance for the modularization design of the entire ocean modular reactor system. The method provided in this article can provide a research foundation for future modular design of MSMR and improve design efficiency.
ArticleNumber 105739
Author Zhang, Lide
Guan, Guan
Wang, Yunlong
Wang, Liyuan
Tang, Zhihong
Guo, Shusheng
Rui, Min
Zhang, Wenjun
Liang, Guopeng
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  organization: China Nuclear Power Technology Research Institute Co. Ltd, Shenzhen, 5128026, China
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  organization: School of Naval Architecture, Dalian University of Technology, Dalian, 116024, China
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Snippet Marine Small Modular Reactors (MSMR) integrate SMR technology with ship technology, offering unique value in meeting the energy demands of the open ocean and...
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SubjectTerms Genetic algorithm
Hierarchical clustering
Modular design
MSMR
Title Study on modular design methodology of marine SMR system based on fuzzy hierarchical clustering and improved genetic algorithm
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