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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.
José March-Leuba, Richard T. Wood
Nuclear Technology | Volume 141 | Number 1 | January 2003 | Pages 45-53
Technical Paper | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies | doi.org/10.13182/NT03-A3348
Articles are hosted by Taylor and Francis Online.
A research effort to develop methods for automated generation of control systems that can be traced directly to the design requirements is documented. This research is being conducted under the Nuclear Energy Research Initiative for the U.S. Department of Energy. The final goal is to allow the control designer to specify only high-level requirements and stress factors that the control system must survive (e.g., a list of transients or a requirement to withstand a single failure). To this end, the "control engine" automatically selects and validates control algorithms and parameters that are optimized to the current state of the plant, and that have been tested under the prescribed stress factors. The control engine then automatically generates the control software from validated algorithms. The automated design approach also lends itself to a control system structure that captures the design requirements and permits the optimum control solution to be maintained during the plant life.