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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
DOE on track to deliver high-burnup SNF to Idaho by 2027
The Department of Energy said it anticipated delivering a research cask of high-burnup spent nuclear fuel from Dominion Energy’s North Anna nuclear power plant in Virginia to Idaho National Laboratory by fall 2027. The planned shipment is part of the High Burnup Dry Storage Research Project being conducted by the DOE with the Electric Power Research Institute.
As preparations continue, the DOE said it is working closely with federal agencies as well as tribal and state governments along potential transportation routes to ensure safety, transparency, and readiness every step of the way.
Watch the DOE’s latest video outlining the project here.
S. Pearlstein
Nuclear Science and Engineering | Volume 74 | Number 3 | June 1980 | Pages 215-219
Technical Note | doi.org/10.13182/NSE80-A20123
Articles are hosted by Taylor and Francis Online.
The adjustment of differential data can improve the agreement between calculation and experiment of integral quantities, but the adjustment process also introduces a posteriori correlations among the data that were not part of the a priori assumptions. In a forward calculation of integral parameters using adjusted differential data, the a posteriori correlations in general reduce the estimated uncertainty since the linear independence among differential data is reduced but the correlations inhibit the use of integral data to improve individual pieces of differential data. The adjusted data are validated for the calculation of integral parameters similar to those used in the adjustment. The physical interpretation of data adjustments is illustrated using a simple model to analyze bare homogeneous critical assemblies.
