Development and assessment of fire-related risk unavailability matrices to support the application of the maintenance rule in a PWR nuclear power plant

Autor: Alfredo de Blas, Enric Estruch, Carlos Tapia, Matthew Asamoah, Pedro Diaz, J. Dies
Přispěvatelé: Universitat Politècnica de Catalunya. Departament de Física, Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear, Universitat Politècnica de Catalunya. NERG - Grup de Recerca d'Enginyeria Nuclear
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Nuclear and High Energy Physics
Computer science
020209 energy
02 engineering and technology
Fire prevention
01 natural sciences
010305 fluids & plasmas
law.invention
Nuclear power plants--Safety measures
Incendis -- Prevenció
PSA
Centrals nuclears -- Mesures de seguretat
law
risk management action
0103 physical sciences
Nuclear power plant
Fire protection
0202 electrical engineering
electronic engineering
information engineering

Fire safety analysis
maintenance rule
Centrals nuclears -- Accidents -- Prevenció
Risk management
reliability
business.industry
Energies::Energia nuclear::Seguretat nuclear [Àrees temàtiques de la UPC]
Probabilistic logic
core damage frequency
fire protection systems
Reliability engineering
key safety functions
Monte Carlo method
PWR type reactor
Systems analysis
Nuclear Energy and Engineering
Core damage frequency
Unavailability
Risk assessment
business
Nuclear power plants--Accidents--Prevention
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
DOI: 10.1080/00223131.2016.1193066
Popis: Two methods are presented which serve to incorporate the fire-related risk into the current practices in nuclear power plants with respect to the assessment of configurations. The development of these methods is restricted to the compulsory use of fire probabilistic safety assessment (PSA) models. The first method is a fire protection systems and key safety functions unavailability matrix which is developed to identify structures, systems, and components significant for fire-related risk. The second method is a fire zones and key safety functions (KSFs) fire risk matrix which is useful to identify fire zones which are candidates for risk management actions. Specific selection and quantification methodologies have been developed to obtain the matrices. The Monte Carlo method has been used to assess the uncertainty of the unavailability matrix. The analysis shows that the uncertainty is sufficiently bounded. The significant fire-related risk is localized in six KSF representative components and one fire protection system which should be included in the maintenance rule. The unavailability of fire protection systems does not significantly affect the risk. The fire risk matrix identifies the fire zones that contribute the most to the fire-related risk. These zones belong to the control building and electric penetrations building.
Databáze: OpenAIRE