Optimal Design of Measurement Network for Neutronic Activity Field Reconstruction by Data Assimilation

Abstract

Using data assimilation framework, to merge information from model and measurement, an optimal reconstruction of the neutronic activity field can be determined for a nuclear reactor core. In this paper, we focus on solving the inverse problem of determining an optimal repartition of the measuring instruments within the core, to get the best possible results from the data assimilation reconstruction procedure. The position optimisation is realised using Simulated Annealing algorithm, based on the Metropolis-Hastings one. Moreover, in order to address the optimisation computing challenge, algebraic improvements of data assimilation have been developed and are presented here.

An advanced computational scheme for the optimization of 2D radial reflector calculations in pressurized water reactors

“…At EDF R&D, the module is used for field recovering applied to neutronic studies, or for parameters studies. For instance, it is used to study the influence of a measurement points network in a reactor core on the reconstructed flux (Bouriquet et al, 2011), or to set up an optimal measurement network to recover the best reconstruction of a fission rate distribution (Bouriquet et al, 2012). Here, we use the parameters study functions of ADAO.…”

Reconstruction by Data Assimilation of the Inner Temperature Field From Outer Measurement in Thick Pipe

“…Data Assimilation is a robust and efficient method to regularize the physical inversion problem. This technique is widely used in geophysics (see [3,4,5]) and more recently in nuclear engineering (see [6,7,8]) or other industrial domains (see [9]). Impulse response is a method, known in numerical and control domains, to reduce the calculation requirements to represent operators in numerical simulations, such as the thermal one we need to use here.…”

Evaluation of relevant information for optimal reflector modeling through data assimilation procedures

“…Data assimilation techniques have already proven to be efficient in such an exercise, as well as in field reconstruction problems [1][2][3][4][5]. In particular, it has been shown that there is a logarithmic-like progression of the quality of the reconstruction as a function of the number of instruments available.…”