Unified nuclear core activity map reconstruction using heterogeneous instruments with data assimilation

TL;DR

This paper presents a data assimilation approach using heterogeneous measurements to improve the accuracy of nuclear core activity mapping, enhancing safety and management through integrated instrument data.

Contribution

It introduces a data assimilation framework, specifically BLUE, for combining diverse measurement types to reconstruct the nuclear core state more accurately.

Findings

Significant improvement in core state reconstruction accuracy.

Effective integration of heterogeneous instrument data.

Enhanced safety monitoring capabilities.

Abstract

Evaluating the neutronic state of the whole nuclear core is a very important topic that have strong implication for nuclear core management and for security monitoring. The core state is evaluated using measurements. Usually, part of the measurements are used, and only one kind of instruments are taken into account. However, the core state evaluation should be more accurate when more measurements are collected in the core. But using information from heterogeneous sources is at glance a difficult task. This difficulty can be overcome by Data Assimilation techniques. Such a method allows to combine in a coherent framework the information coming from model and the one coming from various type of observations. Beyond the inner advantage to use heterogeneous instruments, this leads to obtain a significant increasing of the quality of neutronic global state reconstruction with respect to individual use of measures. In order to present this approach, we will introduce here the basic principles of data assimilation focusing on BLUE (Best Unbiased Linear Estimation). Then we will present the configuration of the method within the nuclear core problematic. Finally, we will present the results obtained on nuclear measurement coming from various instruments.