核能
环境科学
模块化设计
核电站
市电
概率逻辑
电
概率风险评估
风险评估
消防
能源供应
计算机科学
核工程
风险分析(工程)
可靠性工程
功率(物理)
能量(信号处理)
工程类
业务
化学
核物理学
物理
有机化学
人工智能
电气工程
操作系统
统计
生物
量子力学
计算机安全
数学
生态学
作者
Chao Wang,Xiaoming Zhang,Chao Xiong
出处
期刊:Kerntechnik
[De Gruyter]
日期:2023-08-17
卷期号:89 (1): 31-37
标识
DOI:10.1515/kern-2023-0031
摘要
Abstract Small Modular Reactors (SMR) have attracted more and more attention. It can provide economic, stable and clean power for remote areas. It is also a reliable solution in satisfying the power supply of small and medium grids, as well as comprehensive energy supply including heat, electricity, water and steam, and distributed energy supply. Internal Fire Probabilistic Risk Assessment (PRA) is a system analysis method of assessing fire risk for a nuclear power plant, which plays a more and more important role. It can provide an overall understanding of the internal fire risk for SMR. Corresponding design optimization suggestions can be obtained through further analysis of the fire areas with major fire risk, which can help reduce the risk of internal fire and improve the safety of reactor. The paper introduces the basic information of marine SMR and development of internal fire PRA. Then the internal fire risk for marine SMR have been analyzed by this method. The results show that marine SMR have high safety with a Core Damage Frequency (CDF) for internal fire risk of less than 1.0 × 10 −7 per year.
科研通智能强力驱动
Strongly Powered by AbleSci AI