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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.
Brian R. Moore, Paul J. Turinsky, Atul A. Karve
Nuclear Technology | Volume 126 | Number 2 | May 1999 | Pages 153-169
Technical Paper | Fuel Cycle and Management | doi.org/10.13182/NT99-A2964
Articles are hosted by Taylor and Francis Online.
The computational capability to determine optimal core loading patterns (LPs) for boiling water reactors (BWRs) given a reference control rod program has been developed. The design and fidelity of the reference BWR core simulator are presented. The placement of feed and reload fuel is solved by an adaptive optimization by simulated annealing (OSA) objective algorithm. Objective functions available for BWR fuel management are maximization of end-of-cycle core reactivity, minimization of peak linear power density, maximization of critical power ratio, maximization of region average discharge burnup, and minimization of total reload cost. Constraints include thermal and fuel exposure related limits and cycle energy production, when appropriate. The results presented demonstrate the utility of OSA to improve LPs in this highly nonlinear and constrained search space.