ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jul 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
September 2026
Nuclear Technology
August 2026
Fusion Science and Technology
Latest News
The human factor in licensing and operating the next generation of nuclear plants
As human factors specialists working at the intersection of human performance and nuclear operations, we are witnessing one of the nuclear sector’s most significant transitions in decades. The emergence of small modular reactors, microreactors, and other advanced designs is reshaping the industry’s landscape. Digital instrumentation and controls, passive safety systems, and increased automation are creating opportunities for greater safety margins and more flexible operation. These same features also fundamentally redefine what it means to “operate” a nuclear plant. Interactions among human roles, automation, and passive systems shape how people maintain awareness, exercise judgment, and intervene when necessary. These developments affect both operational realities and the regulatory foundations on which nuclear safety is built.
Charles J. Mueller, Stephen M. Folga, Jordi Roglans-Ribas, Bassel Nabelssi, Jofu Mishima
Nuclear Technology | Volume 122 | Number 3 | June 1998 | Pages 306-317
Technical Paper | Criticality of Nuclear Materials | doi.org/10.13182/NT98-A2872
Articles are hosted by Taylor and Francis Online.
Guidance from the U.S. Department of Energy (DOE) for the performance of accident analysis in support of environmental impact assessments calls for a graded approach that considers frequencies as well as consequences of accidents, focuses on high-risk scenarios, and avoids bounding analyses that can obfuscate comparisons of alternative actions. This guidance reflects the fact that at the heart of an environmental impact statement is a comparative analysis of alternatives, including the proposed action; this analysis should address the environmental impacts in proportion to their potential significance, avoid addressing insignificant impacts in detail, and focus analysis resources to be as cost-effective as possible. Accordingly, a probabilistic risk analysis-based methodology to satisfy DOE guidance was developed and implemented for the DOE Waste Management Programmatic Environmental Impact Statement (WM PEIS). The methods are described and illustrated, and an outline of the computational framework is presented. This methodology, although developed for the WM PEIS, is, of course, applicable to general safety analyses. The implementation of the methods for the WM PEIS is summarized, and the extension of the methods to site-specific applications is explained.