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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.
G. Goncarovs
Nuclear Technology | Volume 102 | Number 3 | June 1993 | Pages 323-330
Technical Paper | Nuclear Fuel Cycle | doi.org/10.13182/NT93-A17031
Articles are hosted by Taylor and Francis Online.
Radiochemical trends and anomalies experienced during cycle 15 of the Haddam Neck nuclear power plant, as a result of >450 debris-induced fuel rod failures, presented a situation previously unreported in the nuclear industry. These data, along with shutdown and depressurization spiking data, needed to be evaluated against ultrasonic fuel assembly examination results to derive a predictive model, called the xenon pin equivalent (XPE), to be used for cycle 16. During the development of the model, a fission product release mechanism for this particular type of failure needed to be postulated based on cycle 15 data. The predictive model was tested during cycle 16, which presented similar but more subtle radiochemical trends than cycle 15. Several operational events affected the XPE model, including use of degasification and down-power maneuvers. After the cycle 16 shutdown, the XPE model results were reviewed and evaluated against ultrasonic testing results. Although expected to be conservative, this evaluation proved encouraging in that the model performed more accurately than expected. Additionally, these data helped confirm the postulated release mechanism and its contribution to the XPE model.