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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.
Andrew Denig, Michael Eades
Nuclear Technology | Volume 206 | Number 8 | August 2020 | Pages 1171-1181
Technical Paper | doi.org/10.1080/00295450.2020.1719798
Articles are hosted by Taylor and Francis Online.
Two methodologies for performing decay heat analysis with Monte Carlo simulations were developed and implemented on a representative nuclear thermal propulsion (NTP) system. This paper presents the underlying theory, discusses the methodology, and states the key results. This work investigated the importance of utilizing a time-dependent Q-value for fission in NTP systems due to their short burn time. Two approaches for deriving the Q-value were taken: one based on deconvolving the fission rate from the reactor power to yield the rate of fission energy deposition, and the other based on the convergence of the fission product decay power during a long burn. The fission product decay power method is hypothesized to be the more accurate representation of an NTP system as it captures more of the underlying physics occurring during burnup, such as fission product transmutation. The calculated Q-values were employed to derive decay power profiles that were compared to the current state-of-the-art NTP decay power model. According to these new models, it is shown that the cooling requirements for decay heat removal calculated with the state-of-the-art model differ from the developed methods by as much as 23.3%. There exists a need to experimentally validate, and by extension improve, the proposed methods to better understand the nature of decay heat production in NTP systems.