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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.
Emiliano Masiello, Richard Sanchez, Igor Zmijarevic
Nuclear Science and Engineering | Volume 161 | Number 3 | March 2009 | Pages 257-278
Technical Paper | doi.org/10.13182/NSE161-257
Articles are hosted by Taylor and Francis Online.
The method of short characteristics is extended to two-dimensional heterogeneous Cartesian cells. The new application is intended for realistic pin-by-pin lattice calculations with an exact representation of the geometric shape of the pins, without need for homogenization. The method keeps the advantages of conventional discrete ordinates methods, such as fast execution, together with the possibility to deal with a large number of spatial meshes. Expansion bases, spatial integration, and balance conservation are discussed. A Fourier analysis of the method shows that the scheme preserves the asymptotic behavior of analytical transport. Two coarse-mesh finite difference acceleration techniques have also been analyzed and generalized with the use of Eddington's factors to speed up the rate of convergence of the inner iterations. Numerical examples for realistic configurations show the precision of the method and the efficiency of the accelerated iterations. An analytical stability analysis is also presented for studying the nonconverged behavior of the accelerated scheme, and we give numerical proof of chaotic behavior and the existence of bifurcations.