Science and Technology of Nuclear Installations

Integrated Deterministic and Probabilistic Safety Analysis for Safety Assessment of Nuclear Power Plants


Status
Published

1Polytechnic University of Milan, Milano, Italy

2Idaho National Laboratory, Idaho Falls, USA

3EDF R&D, Paris, France


Integrated Deterministic and Probabilistic Safety Analysis for Safety Assessment of Nuclear Power Plants

Description

Traditionally, regulation of design and operation of nuclear power plants (NPPs) have been based on deterministic safety assessment (DSA) methods to verify criteria that assure plant safety in a number of postulated design basis accident scenarios. These criteria also allow identifying which plant structures, systems, and components (SSCs) and activities are important to safety. Design, operation, and maintenance of these “safety-related” SSCs and activities are controlled through regulatory requirements and supported by extensive probabilistic safety assessment (PSA). Compliance with the evolving regulatory requirements will require innovative deterministic and probabilistic approaches of safety assessment for the existing NPPs and their life extension. In this respect, a medium-term challenge is to combine the use of deterministic and probabilistic methodologies in an integrated deterministic and probabilistic safety analysis (IDPSA) and tackle the related problems of addressing aleatory (stochastic aspects of accident scenarios) and epistemic (model and parameters) uncertainties in a consistent manner. Open issues and challenges of IDPSA include the following.

  • Increased complexity of the thermal-hydraulic (TH) models, with prohibitive computational costs for running hundreds/thousands of transients simulations
  • Difficult quantification of the uncertainties of the TH models adopted for accident analysis
  • Nontransparency of complex PSA models, when attempting at resolving time dependent interactions between physical phenomena, control logic, operator actions, software/firmware, and equipment failures
  • Increased reliance on expert judgement in providing conservative assumptions about uncertainties in time dependent scenarios
  • Comparison of IDPSA outcomes with available safety test results (especially when dealing with fleet of reactors or attempting at justifying long-term operation of earlier NPP designs)
  • Complexity in the assessment of the impact of human operator actions on time dependent scenarios.

Potential topics include, but are not limited to:

  • Reduction of the computational burden of TH models, thanks to larger employment of metamodels for multiparameter and nonlinear modelling, and exploration of the space of combinatorial plant scenarios
  • Consistent treatment of different sources of uncertainties
  • Identification and characterization of a priori unknown vulnerable scenarios, or "sleeping threats"
  • Description of the time-dependent interactions between physical phenomena, equipment failures, safety and nonsafety systems interactions, control logic, and operator actions
  • Reduction of reliance on expert judgment and simplifying assumptions about interdependencies

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 136940
  • - Editorial

Integrated Deterministic and Probabilistic Safety Analysis for Safety Assessment of Nuclear Power Plants

Francesco Di Maio | Enrico Zio | ... | Valentin Rychkov
  • Special Issue
  • - Volume 2015
  • - Article ID 238723
  • - Research Article

Improved Modelling and Assessment of the Performance of Firefighting Means in the Frame of a Fire PSA

Martina Kloos | Joerg Peschke
  • Special Issue
  • - Volume 2015
  • - Article ID 892502
  • - Research Article

Probabilistic Dynamics for Integrated Analysis of Accident Sequences considering Uncertain Events

Robertas Alzbutas
  • Special Issue
  • - Volume 2015
  • - Article ID 308163
  • - Research Article

A Flooding Induced Station Blackout Analysis for a Pressurized Water Reactor Using the RISMC Toolkit

Diego Mandelli | Steven Prescott | ... | Robert Kinoshita
  • Special Issue
  • - Volume 2015
  • - Article ID 727291
  • - Research Article

Safety Assessment of Nuclear Power Plants for Liquefaction Consequences

Tamás János Katona | Zoltán Bán | ... | András Mahler
  • Special Issue
  • - Volume 2015
  • - Article ID 693891
  • - Research Article

Risk-Based Clustering for Near Misses Identification in Integrated Deterministic and Probabilistic Safety Analysis

Francesco Di Maio | Matteo Vagnoli | Enrico Zio
  • Special Issue
  • - Volume 2015
  • - Article ID 192601
  • - Research Article

Delayed Station Blackout Event and Nuclear Safety

Andrija Volkanovski | Andrej Prošek
  • Special Issue
  • - Volume 2015
  • - Article ID 193075
  • - Research Article

An Enhanced Preventive Maintenance Optimization Model Based on a Three-Stage Failure Process

Ruifeng Yang | Jianshe Kang | Zhenya Quan
  • Special Issue
  • - Volume 2015
  • - Article ID 278638
  • - Research Article

Scenario Grouping and Classification Methodology for Postprocessing of Data Generated by Integrated Deterministic-Probabilistic Safety Analysis

Sergey Galushin | Pavel Kudinov
  • Special Issue
  • - Volume 2015
  • - Article ID 839249
  • - Research Article

Demonstration of Emulator-Based Bayesian Calibration of Safety Analysis Codes: Theory and Formulation

Joseph P. Yurko | Jacopo Buongiorno | Robert Youngblood
Science and Technology of Nuclear Installations
 Journal metrics
Acceptance rate32%
Submission to final decision60 days
Acceptance to publication39 days
CiteScore1.700
Impact Factor0.825
 Submit

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.