A Research Roadmap for Computation-Based Human Reliability Analysis

Boring, Ronald¹  Mandelli, Diego¹  Joe, Jeffrey¹  Smith, Curtis¹  Groth, Katrina² 

[1] Idaho National Lab. (INL), Idaho Falls, ID (United States);Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

关键词: REACTOR OPERATORS;    WATER MODERATED REACTORS;    PROBABILISTIC ESTIMATION;    RELIABILITY;    NUCLEAR POWER PLANTS;    HAZARDS;    WATER COOLED REACTORS;    SAFETY MARGINS;    COMPUTERIZED SIMULATION;    SERVICE LIFE;    OPTIMIZATION;    COMPUTER CODES;    RISK ASSESSMENT;    ERRORS;    PERFORMANCE;    THERMAL HYDRAULICS dynamic;    human reliability analysis;    Human Unimodels for Nuclear Technology to Enhance;    RAVEN;   

DOI  :  10.2172/1230074
RP-ID  :  INL/EXT--15-36051
PID  :  OSTI ID: 1230074
Others  :  TRN: US1600180

美国|英语

来源: SciTech Connect

【 摘 要 】

The United States (U.S.) Department of Energy (DOE) is sponsoring research through the Light Water Reactor Sustainability (LWRS) program to extend the life of the currently operating fleet of commercial nuclear power plants. The Risk Informed Safety Margin Characterization (RISMC) research pathway within LWRS looks at ways to maintain and improve the safety margins of these plants. The RISMC pathway includes significant developments in the area of thermalhydraulics code modeling and the development of tools to facilitate dynamic probabilistic risk assessment (PRA). PRA is primarily concerned with the risk of hardware systems at the plant; yet, hardware reliability is often secondary in overall risk significance to human errors that can trigger or compound undesirable events at the plant. This report highlights ongoing efforts to develop a computation-based approach to human reliability analysis (HRA). This computation-based approach differs from existing static and dynamic HRA approaches in that it: (i) interfaces with a dynamic computation engine that includes a full scope plant model, and (ii) interfaces with a PRA software toolset. The computation-based HRA approach presented in this report is called the Human Unimodels for Nuclear Technology to Enhance Reliability (HUNTER) and incorporates in a hybrid fashion elements of existing HRA methods to interface with new computational tools developed under the RISMC pathway. The goal of this research effort is to model human performance more accurately than existing approaches, thereby minimizing modeling uncertainty found in current plant risk models.