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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Nuclear energy for maritime shipping and coastal applications
The Boston-based Deon Policy Institute has published a white paper that examines the applications of nuclear energy in the maritime sector—specifically, floating nuclear power plants and nuclear propulsion for commercial vessels. Topics covered include available technologies, preliminary cost estimates, and a status update on the regulatory framework.
Unique opportunity: The paper points out that nuclear energy has the potential to benefit the shipping industry with high energy efficiency, lower operating costs, and zero carbon emissions. The report has a special focus on Greece, a nation that controls about 20 percent of the global commercial fleet and thus has an opportunity to take a leading role in the transition to nuclear-powered shipping.
Dong Hyuk Lee, Hyung Jin Shim, Chang Hyo Kim
Nuclear Science and Engineering | Volume 187 | Number 2 | August 2017 | Pages 154-165
Technical Paper | doi.org/10.1080/00295639.2017.1307031
Articles are hosted by Taylor and Francis Online.
The continuous-energy Monte Carlo (MC) sensitivity and uncertainty (S/U) analysis conducted using the multigroup covariance matrices has a theoretical pitfall in that it is inconsistent with the principle of continuous-energy MC neutronics calculations because the use of the multigroup covariance matrices means treating covariance data as multigroup variables rather than continuous-energy variables. As a way to get around this deficiency and perform the MC S/U analysis on the theoretically consistent principle, this paper presents a new continuous-energy MC S/U formulation which directly utilizes the continuous-energy covariance data in the evaluated nuclear data libraries instead of the multigroup covariance matrices produced by nuclear data processing codes. The validity of the new MC S/U formulation is examined in terms of the input-nuclear-data-induced k uncertainty of the Godiva critical assembly and the TMI-1 pin cell problem by inputting the continuous-energy covariance data of nuclides involved directly into the continuous-energy MC transport calculations by a Seoul National University MC code, McCARD.