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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.
Tien-Ko Wang, Szu-Li Chang, Shi-Ping Teng
Nuclear Technology | Volume 83 | Number 1 | October 1988 | Pages 5-15
Technical Paper | Nuclear Safety | doi.org/10.13182/NT88-A34170
Articles are hosted by Taylor and Francis Online.
Using as a starting base the high-density spent-fuel storage racks to be put into the Chinshan and Kuo-shang nuclear power plants, a series of criticality analyses with various combinations of fuel assemblies and storage rack designs were performed using an AMPX-KENO/XSDRNPM computer code package. The calculated k∞ value for the storage pools in the two subject plants using Boral (0.013 g/cm2 10B) poisoned rack lattices and 3.2 wt% enriched fuel assemblies is 0.900 under conservative assumptions. Considering all the calculation biases and statistical and manufacturing uncertainties, the maximum k∞ value is estimated to be 0.929 under normal storage conditions. Variation in water temperature and density or abnormal positioning of fuel assemblies will result only in a negative effect on value. The deviation of the calculated k∞ values between the one-dimensional Sn XSDRNPM code and the KENO-IV code is within the normal Monte Carlo variations. Based on XSDRNPM calculations,K∞ values and the associated uncertainties due to fuel and rack manufacturing tolerances are tabulated. These interpolations can be used for the estimation of the value for any particular fuel and rack combination based on the tabulated data.