HUMAN UNIMODEL FOR NUCLEAR TECHNOLOGY TO ENHANCE RELIABILITY (HUNTER) A FRAMEWORK FOR COMPUTATIONAL BASED HUMAN RELIABILITY ANALYSIS
A computation based human reliability analysis framework called the Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) has been developed as part of the Risk Informed Safety Margin Characterization (RISMC) pathway within the U.S. Department of Energy's Light Water Reactor Sustainability Program that aims to extend the life of the currently operating fleet of U.S. commercial nuclear power plants. HUNTER is a flexible hybrid approach that functions as a framework for dynamic modeling, including a simplified model of human cognition a virtual operator that produces relevant outputs such as the human error probability (HEP) time spent on task, or task decisions based on relevant plant evolutions. HUNTER is the human reliability analysis counterpart to the Risk Analysis in a Virtual ENvironment (RAVEN) framework used for dynamic probabilistic risk assessment. Although both RAVEN and HUNTER are under various stages of development, this paper presents a successfully integrated and implemented RAVEN HUNTER initial demonstration. The demonstration centers on a station blackout scenario, using complexity as the sole virtual operator performance shaping factor (PSF) The implementation of RAVEN HUNTER can be readily scaled to other nuclear power plant scenarios of interest and will include additional PSFs in the future.