E3S Web Conf.
Volume 245, 20212021 5th International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2021)
|Number of page(s)||4|
|Section||Energy Development and Utilization and Energy-Saving Technology Application|
|Published online||24 March 2021|
Probabilistic Safety Analysis for Loss of Offsite Power Accident in Dual-units Nuclear Power Plant
1 State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, China Nuclear Engineering Co.,Ltd, Shenzhen of Guangdong Prov. 518172, China
2 School of Nuclear Science and Engineering, Beijing Key Laboratory of Passive Nuclear Safety Technology, North China Electric Power University, Beijing 102206, China
* Corresponding author: firstname.lastname@example.org
In order to explore the risk assessment method of the multi-unit nuclear power plant site, this paper selects the dual-unit plant nuclear site to analyze lose off-site power accident. By combining and improving the single-unit ET/FT model, to establish the dual-unit ET/FT model. From the analysis of the accident sequence, it can be concluded that the common cause failure of equipment is the main challenge faced by the dual-units. Especially the RPC sub-channel in the reactor protection system and the failure of emergency diesel engine circuit breaker. As can be seen from the high proportion of core CD occurring simultaneously in both uints, it has a great significance to study the risk of mult-units sites.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.