| Issue |
EPJ Nuclear Sci. Technol.
Volume 12, 2026
|
|
|---|---|---|
| Article Number | 13 | |
| Number of page(s) | 15 | |
| DOI | https://doi.org/10.1051/epjn/2026005 | |
| Published online | 19 May 2026 | |
https://doi.org/10.1051/epjn/2026005
Regular Article
Bias and uncertainty estimates for in-core LWR reaction rate distributions
Reactor Physics and Thermal hydraulic Laboratory, Paul Scherrer Institut, Villigen, Switzerland
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
10
January
2026
Received in final form:
23
March
2026
Accepted:
7
April
2026
Published online: 19 May 2026
Abstract
We analyze in-core reaction rate measurements coming from three Pressurized Water Reactors and two Boiling Water Reactors (named E) and compare them with CASMO5 and SIMULATE-3 (and -5) calculations (named C). A total of almost 1 million experimental values were considered, covering various cycles, detector systems and locations, as well as UO2 and MOX fuel types. Biases and root mean square values (rms) were extracted based on (E − C)/C ratios, leading to the finding of outliers, most likely due to detector issues and possible modeling effects for locations with low power. The average rms value is 2.9%, once the outliers are removed, but dissimilar values are obtained for different reactor types. The effect of nuclear data is also quantified for one PWR, leading to an absolute average rms uncertainty of 0.3%. We conclude, based on this study, that an improvement of the local rms values can be achieved by a better knowledge of measurements (i.e. uncertainties) and a possible update on specific parts of the involved models.
Present address: National Cooperative for the Disposal of Radioactive Waste, Nagra, Wettingen, Switzerland.
© D. Rochman et al., Published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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