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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.
Michael E. Dunn, C. L. Bentley, † S. Goluoglu, Lane S. Paschal‡, L. M. Petrie, H. L. Dodds
Nuclear Technology | Volume 119 | Number 3 | September 1997 | Pages 306-313
Technical Paper | Nuclear Criticality Safety | doi.org/10.13182/NT97-A35406
Articles are hosted by Taylor and Francis Online.
KENO V.a is a multigroup Monte Carlo code that solves the Boltzmann transport equation and is used extensively in the nuclear criticality safety community to calculate the effective multiplication factor keff of systems containing fissile material. Because of the smaller amount of disk storage and CPU time required in calculations, multigroup approaches have been preferred over continuous energy (point) approaches in the past to solve the transport equation. With the advent of high-performance computers, storage and CPU limitations are less restrictive, thereby making continuous energy methods viable for transport calculations. Moreover, continuous energy methods avoid many of the assumptions and approximations inherent in multigroup methods. Because a continuous energy version of KENO V.a does not exist, the objective of the work is to develop a new version of KENO V.a that utilizes continuous energy cross sections. Currently, a point cross-section library, which is based on a raw continuous energy cross-section library such as ENDF/B- V is not available for implementation in KENO V.a; however, point cross-section libraries are available for MCNP, another widely used Monte Carlo transport code. Since MCNP cross sections are based on ENDF data and are readily available, a new version of KENO V.a named PKENO Va has been developed that performs the random walk using MCNP cross sections. To utilize point cross sections, extensive modifications have been made to KENO V.a. At this point in the research, testing of the code is underway. In particular, PKENO V.a, KENO V.a, and MCNP have been used to model nine critical experiments and one subcritical problem. The results obtained with PKENO V.a are in excellent agreement with MCNP, KENO V.a, and experiments.