Search NASA⌕ Search

DOE OSTI · 1607042

ATF Benchmark Problems

Abstract

The events at Fukushima Daiichi Nuclear Power Plant on March 2011 propelled the research and development of accident-tolerant fuel (ATF) for use in nuclear power plants. After these events, the United States Senate Appropriations Committee requested a report from the United States Department of Energy (DOE) regarding DOE’s plan for developing ATF. In DOE’s development plan, a 10-year effort beginning in 2012 was outlined from Phase 1 feasibility studies through Phase 3 commercialization with a lead test assembly (LTA) or a lead fuel rod (LFR) to be ready for insertion into a reactor by 2022. In fiscal year 2018, the US Nuclear Regulatory Commission (NRC) expressed an interest in using the DOE Office of Nuclear Energy (NE) advanced modeling and simulation (M&S) tools to evaluate advanced fuel concepts such as ATF. This interest evolved into a formal cooperation between DOE and NRC to ensure that an effective M&S capability is available for NRC analyses of ATF concepts. Over the last 10 years, the DOE-funded Energy Innovation Hub, also known as the Consortium for Advanced Simulation of Light Water Reactors (CASL), has developed, applied and deployed advanced M&S capabilities to enhance the operational performance, efficiency, and safety of light water reactors (LWRs). Due to the aging US nuclear fleet, CASL was initiated to improve the efficiency of nuclear power production, lower costs by enhancing the understanding of fuel performance and residence time in the nuclear reactor, enhance safety by studying new fuels that can endure severe conditions, and extend the life of existing reactors by predicting the lifetimes of key structural components

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Davidson, Eva E., Franceschini, Fausto, Kim, Kang Seog. 2019-04-30. ATF Benchmark Problems. https://doi.org/10.2172/1607042

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

ZiaCore Critical Experiment Demonstrates Key Technologies for Nuclear Energy Systems

ZiaCore is a LANL Laboratory Directed Research and Development (LDRD) project focused on developing and demonstrating key technologies for future nuclear energy systems. The project itself was split into three tasks: 1) Design of the ZiaCore Reactor, a UO2 fueled, graphite and zirconium-hydride (ZrH) moderated, heat pipe cooled micro-reactor 2) Development of the ZrH and heat pipes components 3) Performance of a critical experiment with a representative portion of the ZiaCore reactor incorporating the ZrH and heat pipes developed and made at LANL.

22 GENERAL STUDIES OF NUCLEAR REACTORS↗

Operating Experience Data Analysis for Digital Instrumentation and Control System Reliability and Risk Assessment in Nuclear Power Plants

The implementation of advanced digital instrumentation and control (DI&C) systems in U.S. nuclear power plants (NPPs) can bring significant advancements in reliability, monitoring, and control capabilities. However, these systems also introduce new challenges, particularly in assessing risks such as common-cause failures (CCFs) and establishing robust reliability estimates for DI&C components. Addressing these challenges is critical for ensuring the safe and efficient operation of NPPs. Recently, Idaho National Laboratory was tasked by the U.S. Nuclear Regulatory Commission (NRC) to conduct a DI&C reliability study using operating experience data from the nuclear industry. The two operating experience data sources for the study are the Institute of Nuclear Power Operations’ Industry Reporting and Information System (IRIS) and the NRC’s Licensee Event Report database which is hosted at Idaho National Laboratory at https://lersearch.inl.gov/LERSearchCriteria.aspx. This report provides a comprehensive examination of DI&C systems, including their architecture, operational advantages, and associated challenges. It reviews existing industry DI&C studies and failure mode taxonomies, along with reliability data from various industries. Through a detailed analysis of these databases, the study provides insights into DI&C system performance. Considerations should be given to incorporate DI&C failure data into the NRC's Integrated Data Collection and Coding System and updating the Reliability and Availability Data System to support ongoing DI&C reliability studies. Recommendations are also provided for modeling DI&C reliability and CCF in probabilistic risk assessment, thereby supporting risk-informed decision-making and enhancing the reliability and safety of NPPs.

22 GENERAL STUDIES OF NUCLEAR REACTORS↗