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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.
Robert E. Uhrig
Nuclear Technology | Volume 88 | Number 2 | November 1989 | Pages 157-165
Technical Paper | NSF Workshop on the Research Needs of the Next Generation Nuclear Power Technology / Fission Reactor | doi.org/10.13182/NT89-A34322
Articles are hosted by Taylor and Francis Online.
Application of automation using digital systems to control and manage nuclear power plants, along with the introduction of some of the techniques of artificial intelligence, can offer the public assurance that nuclear power plants are being controlled and managed safely and efficiently. Automation could dramatically reduce the minor glitches that detract from the truly fine performance of these plants. Demands for increased safety margins, lower environmental impacts, improved performance, and greater investment protection will inevitably lead to automation of most nuclear power plant functions. Technologies that should be supported to ensure the proper development of this generation of nuclear power plants include fault-tolerant digital control and safety systems, automated software production, human factors, sensor-reading validation, artificial intelligence, expert systems, neural networks, alternate computer technologies, and robotics.