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NN Asks: Is the U.S. ready for nuclear construction to accelerate?
Craig Stover
Yes, but . . .
The United States is better positioned today for nuclear construction than it has been in decades. Some of that comes from the experience gained at Vogtle and V.C. Summer. I was part of the team that helped start the V.C. Summer project in 2008, and at that time we were trying to build a nuclear construction workforce from scratch. We learned a lot through that effort, and many of those lessons learned have since been studied, documented, and shared.
The nuclear industry is also benefiting from the wave of investment that started growing around 2020. Over the last five or six years, there has been a serious effort across the country to get ready for new nuclear builds. The U.S. government and the private sector are investing billions of dollars in new nuclear. Much of that work is happening before widespread commercial deployment contracts are signed. This is real, and we need to prepare.
P. Knabe, F. Wehle
Nuclear Technology | Volume 112 | Number 3 | December 1995 | Pages 315-323
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT95-A35157
Articles are hosted by Taylor and Francis Online.
A fuel assembly with a large critical power margin introduces flexibility into reload fuel management. Therefore, optimization of the bundle and spacer geometry to maximize the bundle critical power is an important design objective. With a view to reducing the extent of the complex full-scale tests usually carried out to determine the thermal-hydraulic characteristics of various assembly geometries, the subchannel analysis method was further developed with the Siemens RINGS code. The annular flow code predicts dryout power and dryout location by calculating the conditions at which the liquid film flow rate is reduced to zero, allowing for evaporation, droplet entrainment, and droplet deposition. Appropriate attention is paid to the modeling of spacer effects. Comparison with experimental data of 3 × 3 and 4 × 4 tests shows the capability of RINGS to predict the flow quality and mass flux in subchannels under typical boiling water reactor operating conditions. By using the RINGS code, experimental critical power data for 3 × 3, 4 × 4, 5 × 5, 7 × 7, 8 × 8, 9×9, and 10 × 10 fuel assemblies were successfully postcalculated.