Improved algorithms for the calculation of resolved resonance cross sections with applications to the structural Doppler effect in fast reactors

Motivated by a need for an economical yet rigorous tool which can address the computation of the structural material Doppler effect, an extremely efficient improved RABANL capability has been developed utilizing the fact that the Doppler broadened line shape functions become essentially identical to the natural line shape functions or Lorentzian limits beyond about 100 Doppler widths from the resonance energy, or when the natural width exceeds about 200 Doppler widths. The computational efficiency has been further enhanced by preprocessing or screening a significant number of selected resonances during library preparation into composition and temperature independent smooth background cross sections. The resonances which are suitable for such pre-processing are those which are either very broad or those which are very weak. The former contribute very little to the Doppler effect and their self-shielding effect can readily be averaged into slowly varying background cross section data, while the latter contribute very little to either the Doppler or to self-shielding effects. To illustrate the accuracy and efficiency of the improved RABANL algorithms and resonance screening techniques, calculations have been performed for two systems, the first with a composition typical of the STF converter region and the second typical of an LMFBR core composition. Excellent agreement has been found for RABANL compared to the reference Monte Carlo solution obtained using the code VIM, and improved results have also been obtained for the narrow resonance approximation in the ultra-fine-group option of MC/sup 2/-2

Impacts of data covariances on the calculated breeding ratio for CRBRP

In order to establish confidence on the data adjustment methodology as applied to LMFBR design, and to estimate the importance of data correlations in that respect, an investigation was initiated on the impacts of data covariances on the calculated reactor performance parameters. This paper summarizes the results and findings of such an effort specifically related to the calculation of breeding ratio for CRBRP as an illustration. Thirty-nine integral parameters and their covariances, including k/sub eff/ and various capture and fission reaction rate ratios, from the ZEBRA-8 series and four ZPR physics benchmark assemblies were used in the least-squares fitting processes. Multigroup differential data and the sensitivity coefficients of those 39 integral parameters were generated by standard 2-D diffusion theory neutronic calculational modules at ANL. Three differential data covariance libraries, all based on ENDF/B-V evaluations, were tested in this study

Argonne National Laboratory Reports

This report describes the current state of the utility subroutine package used with codes being developed by the staff of the Applied Physics Division. The package provides a variety of useful functions for BCD input processing, dynamic core-storage allocation and management, binary I/O and data manipulation. The routines were written to conform to coding standards which facilitate the exchange of programs between different computers

Utility subroutine package used by Applied Physics Division export codes. [LMFBR]

This report describes the current state of the utility subroutine package used with codes being developed by the staff of the Applied Physics Division. The package provides a variety of useful functions for BCD input processing, dynamic core-storage allocation and managemnt, binary I/0 and data manipulation. The routines were written to conform to coding standards which facilitate the exchange of programs between different computers

The ARC System cross-section homogenization and modification capabilities /

"Reactor Technology.""June 1971."Operated by the University of ChicagoMode of access: Internet

Saving energy at home: Exploring the role of behavior regulation and habit

Global demand for energy, environmental concerns over power generation emissions, and rising household energy costs have heightened interest in exploring ways to reduce energy consumption. Numerous approaches have been adopted, including those that build on the important recognition of consumer intentions as a predictor of behavior. However, the literature suggests intentions only moderately explain behavior. Thus, there is a case for further research to explore how the intention to behavior relationship can be strengthened. In response, this study contributes to a better understanding of how to reduce household energy consumption, by investigating the direct, and moderating effects integrated regulation and external regulation, as well as habit, have on the relationship between intention and behavior. The study draws on a large sample of household energy consumers who completed online surveys two months apart. The findings reveal a strong indirect relationship between integrated regulation and behavior through intention, and a significant, direct, and negative relationship between external regulation and behavior. While external regulation moderated the positive relationship between intentions and behavior, the moderating effects of integrated regulation and habit were not significant. Further, a direct effect for habit on behavior was found. These findings suggest regulation types play different roles in affecting consumer intentions and behavior, and support the importance of habit as a predictor of energy consumption