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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.
Shih-Jen Wang, Chun-Sheng Chien, Jung-Yuh Jang
Nuclear Technology | Volume 103 | Number 1 | July 1993 | Pages 131-137
Technical Note | Reactor Operation | doi.org/10.13182/NT93-A34836
Articles are hosted by Taylor and Francis Online.
To apply fast and accurate simulation techniques to Taiwanese nuclear power plants, plant analyzer technology was transferred to Taiwan from the Brookhaven National Laboratory (BNL) through a cooperative program. The Chinshan plant analyzer was developed based on the BNL boiling water reactor plant analyzer. The simulation speed of the Chinshan plant analyzer is eight times faster than real time. The detail analysis process of the turbine trip transient is demonstrated. The self-initialization procedure automatically generates the desired plant conditions. These plant conditions are saved in a file and read directly for the simulation. The simulation is started by inputting the start time of the turbine trip from the keyboard of a personal computer. The simulation results are shown instantaneously on the screen of a Micro-VAX II workstation. A comparison of the calculated system response with the plant data indicates good agreement. The sequence of events is also close to that of the test result.