Assessment of offsite power reliability for nuclear power plants by fault tree analysis
Joint Authors
Hassan, H. M.
Agwa, A. M.
Isawi, E. A.
Source
Journal of al Azhar University : Engineering Sector
Issue
Vol. 14, Issue 50 (31 Jan. 2019)9 p.
Publisher
al-Azhar University Faculty of Engineering
Publication Date
2019-01-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract EN
The reliability of offsite power for a nuclear power plant (NPP) is
assessed using fault tree (FT) analysis.
The method combines alternating
current (AC) load flow analysis with FT technique.
The probability of loss
of offsite power (LOOP) initiating event is assessed based on the
unreliability of the power delivered to the house load of the NPP.
Based on
the quantitative and qualitative analysis of the constructed FT, the
probability of the LOOP initiating event is assessed.
The FT results
include the importance measures which enable identification of the most
important elements of the power system from the aspect of nuclear safety.
The impact of changes in the power system to the safety of the NPP is
evaluated.
The verification of the method was performed on the IEEE test
system.
American Psychological Association (APA)
Agwa, A. M.& Isawi, E. A.& Hassan, H. M.. 2019. Assessment of offsite power reliability for nuclear power plants by fault tree analysis. Journal of al Azhar University : Engineering Sector،Vol. 14, no. 50.
https://search.emarefa.net/detail/BIM-1065676
Modern Language Association (MLA)
Hassan, H. M.…[et al.]. Assessment of offsite power reliability for nuclear power plants by fault tree analysis. Journal of al Azhar University : Engineering Sector Vol. 14, no. 50 (Jan. 2019).
https://search.emarefa.net/detail/BIM-1065676
American Medical Association (AMA)
Agwa, A. M.& Isawi, E. A.& Hassan, H. M.. Assessment of offsite power reliability for nuclear power plants by fault tree analysis. Journal of al Azhar University : Engineering Sector. 2019. Vol. 14, no. 50.
https://search.emarefa.net/detail/BIM-1065676
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1065676