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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.
Rahman S. Abdulmohsin, Muthanna H. Al-Dahhan
Nuclear Technology | Volume 198 | Number 1 | April 2017 | Pages 17-25
Technical Paper | doi.org/10.1080/00295450.2017.1292818
Articles are hosted by Taylor and Francis Online.
In the dynamic core of nuclear pebble bed reactors, the prediction of the fluid flow within the packing determines the heat transfer characteristics and, hence, the performance of these reactors.
The fluid flow of the gas phase can be characterized and quantified in terms of the pressure drop coefficient. Therefore, in this work, the pressure drop in a packed pebble bed having different aspect ratios (ratio of the diameter of the bed to the diameter of the pebbles) has been measured experimentally in a separate-effects pilot-plant scale and cold-flow experimental setup of 0.3 m in diameter using a differential pressure transducer technique. The effects of superficial gas velocity have been investigated using a range of velocities from 0.01 to 2 m/s covering both the laminar and turbulent flow regimes. In addition, the effect of bed structure (aspect ratio) on the pressure drop coefficient has been investigated for the studied packed pebble bed. The results show the strong dependence of the pressure drop on both the aspect ratio and, hence, the porosity of the bed and the coolant gas velocity. The obtained experimental results have been used to evaluate the predictions of the correlations recommended for pressure drop estimation in packed pebble bed nuclear reactors. The present work provides insight on the pressure drop and fluid flow of the gas phase in the studied bed using an advanced technique and methodology.