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NRC looks to leverage previous approvals for large LWRs
During this time of resurging interest in nuclear power, many conversations have centered on one fundamental problem: Electricity is needed now, but nuclear projects (in recent decades) have taken many years to get permitted and built.
In the past few years, a bevy of new strategies have been pursued to fix this problem. Workforce programs that seek to laterally transition skilled people from other industries, plans to reuse the transmission infrastructure at shuttered coal sites, efforts to restart plants like Palisades or Duane Arnold, new reactor designs that build on the legacy of research done in the early days of atomic power—all of these plans share a common throughline: leveraging work already done instead of starting over from square one to get new plants designed and built.
N. V. Kornilov, S. M. Grimes, A. Voinov
Nuclear Science and Engineering | Volume 172 | Number 3 | November 2012 | Pages 278-286
Technical Paper | doi.org/10.13182/NSE11-61
Articles are hosted by Taylor and Francis Online.
The variations of ˜14-MeV (n, p), (n, ), and (n, 2n) reaction cross sections with A and Z have been analyzed. We tried to answer a rather interesting question: Can a simple parameterization be useful in comparing with nuclear reaction model calculations? In addition, we checked several approaches for parameterization. Simple systematics gave a better prediction than model calculation for the (n, 2n) reaction at A > 120. At a low mass number, the difference between experimental data and calculated or fitted results may be connected with the structure of levels for residual nuclei. We saw better agreement between experimental and fitted data in comparison with results of model calculation in particular for the (n, ) reaction for A < 110. Both approaches failed to predict (n, p) cross sections inside experimental uncertainties for A < 110 and the (n, ) cross section for A > 110. This failure may be connected with low accuracy of experimental data or with some unknown physical effect that provides an additional splitting of experimental data.