Investigation of a discrete ordinates method for neutron noise simulations in the frequency domain
Doktorsavhandling, 2021

During normal operations of a nuclear reactor, neutron flux measurements show small fluctuations around mean values, the so-called neutron noise. These fluctuations may be driven by a variety of perturbations, e.g., mechanical vibrations of core components. From the analysis of the neutron noise, anomalous patterns can be identified at an early stage and corrected before they escalate. For this purpose, the modelling of the reactor transfer function, which describes the core response to a possible perturbation and is based on the neutron transport equation, is often required. In this thesis a discrete ordinate method is investigated to solve the neutron noise transport equation in the frequency domain. When applying the method, two main issues need to be considered carefully, i.e., the performance of the numerical algorithm and possible numerical artifacts arising from the discretization of the equation. For an efficient numerical scheme, acceleration techniques are tested, namely, the synthetic diffusion acceleration and various forms of the coarse mesh finite difference method. To reduce the possible numerical artifacts, the impact of the order of discrete ordinates and the use of a fictitious source method are studied. These analyses serve to develop the higher-order neutron noise solver NOISE-SN. The solver is compared with different solvers and used to simulate neutron noise experiments carried out in the research reactor CROCUS (at EPFL). The solver NOISE-SN is shown to provide results that are consistent with the results obtained from other higher-order codes and can reproduce features observed in neutron noise experiments.

Deterministic neutron transport

Neutron noise

Ray effects

Numerical acceleration

Discrete ordinates method

PJ Lecture room, Fysik Origo, Fysikgården 2B, Chalmers University of Technology, Göteborg
Opponent: Professor Jean Ragusa, Texas A&M University, Texas, United States

Författare

Huaiqian Yi

Subatomär, högenergi- och plasmafysik DP

On the simulation of neutron noise using a discrete ordinates method

Annals of Nuclear Energy,;Vol. 164(2021)

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Nuclear reactors produce energy with low carbon emissions and thus may be considered in the ongoing energy transition towards a more sustainable future.

Since radioactivity is accumulated in a nuclear reactor, it is important to ensure a high level of safety of the operations and to continuously track the system state. One crucial quantity to monitor is the neutron flux that drives the reactor power output via nuclear fission reactions. Small fluctuations around a mean value are usually observed in the neutron flux measurements under normal conditions and are referred to as neutron noise. These fluctuations may be related to disturbances that can escalate with time into more severe issues, e.g., vibrations of reactor components. Then neutron noise analysis can help to identify abnormal patterns, so that appropriate actions are taken before dangerous situations arise.

The localization and characterization of reactor anomalies with neutron noise requires the modelling and simulation of the system response to possible perturbations. In previous analyses, coarse approximations were mainly applied and were shown to give satisfactory results. In this thesis, a higher-order neutron transport method (namely, the discrete ordinates method) is investigated for neutron noise calculations and the solver NOISE-SN is developed. Such a solver can provide more detailed solutions and be used to assess the limitations of coarse approaches.

Core monitoring techniques and experimental validation and demonstration (CORTEX)

Europeiska kommissionen (EU) (EC/H2020/754316), 2017-09-01 -- 2021-08-31.

Styrkeområden

Energi

Ämneskategorier

Annan fysik

ISBN

978-91-7905-606-3

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5072

Utgivare

Chalmers

PJ Lecture room, Fysik Origo, Fysikgården 2B, Chalmers University of Technology, Göteborg

Online

Opponent: Professor Jean Ragusa, Texas A&M University, Texas, United States

Mer information

Senast uppdaterat

2022-03-02