Alberto Sartori
Nuclear Engineering Division,
Department of Energy,
Politecnico di Milano,
Milano 20156, Italy
e-mail: alberto.sartori@polimi.it
Antonio Cammi
Nuclear Engineering Division,
Department of Energy,
Politecnico di Milano,
Milano 20156, Italy
e-mail: antonio.cammi@polimi.it
Lelio Luzzi
1
Nuclear Engineering Division,
Department of Energy,
Politecnico di Milano,
Milano 20156, Italy
e-mail: lelio.luzzi@polimi.it
Gianluigi Rozza
SISSA MathLab,
International School for Advanced Studies,
Trieste 34136, Italy
e-mail: gianluigi.rozza@sissa.it
A Reduced Basis Approach for
Modeling the Movement of
Nuclear Reactor Control Rods
This work presents a reduced order model (ROM) aimed at simulating nuclear reactor
control rods movement and featuring fast-running prediction of reactivity and neutron flux
distribution as well. In particular, the reduced basis (RB) method (built upon a high-fidelity
finite element (FE) approximation) has been employed. The neutronics has been modeled
according to a parametrized stationary version of the multigroup neutron diffusion
equation, which can be formulated as a generalized eigenvalue problem. Within the RB
framework, the centroidal Voronoi tessellation is employed as a sampling technique
due to the possibility of a hierarchical parameter space exploration, without relying on a
“classical” a posteriori error estimation, and saving an important amount of computa-
tional time in the offline phase. Here, the proposed ROM is capable of correctly predicting,
with respect to the high-fidelity FE approximation, both the reactivity and neutron flux
shape. In this way, a computational speedup of at least three orders of magnitude is
achieved. If a higher precision is required, the number of employed basis functions (BFs)
must be increased. [DOI: 10.1115/1.4031945]
Keywords: reduced basis method, control rod movement, parametrized generalized
eigenvalue equation, neutronics, centroidal Voronoi tessellation
1 Introduction
In the analysis of nuclear reactor dynamics, the most widespread
approach is based on the point-kinetics (PK) equations [1]. This
description of the neutronics is based on a set of coupled non-
linear ordinary differential equations that describe both the time-
dependence of the neutron population in the reactor and the decay
of the delayed neutron precursors, allowing for the main feedback
reactivity effects. Among the several assumptions entered in the
derivation of these equations, the strongest approximation regards
the shape of the neutron flux, which is assumed to be represented by
a single, time-independent spatial mode.
Otherwise, whether the reactors are characterized by complex
geometries and asymmetric core configurations, more accurate
modeling approaches might be needed to provide more detailed in-
sights concerning the reactor behavior during operational transients.
It is worth mentioning that the innovative reactor concepts, for
instance, Generation IV reactors [2], feature power density and tem-
perature ranges, experienced by structural materials, such that the
corresponding spatial dependence cannot be neglected. Moreover,
in order to develop suitable control strategies for such reactors, the
spatial effects induced by the movement of the control rods have to
be taken into account as well.
Currently, in literature, it is possible to find many attempts in
developing nonzero-dimensional reactor models for different appli-
cations by means of the modal synthesis method. A comprehensive
review of works carried out in the nuclear engineering field can
be found in Ref. [3]. The potentials of reduced order techniques,
such as proper orthogonal decomposition (POD) [4–6] or RB
method [7,8], for developing a spatial kinetics have been addressed
in Refs. [9,10].
The present contribution would offer a methodological approach
to improve the already-developed simulation tools, which are based
on pointwise kinetics, allowing for the spatial effects. The main idea
is that the temporal evolution can still be described according to PK
equations, but at each time step, the reactivity is estimated by means
of a fast-running ROM. Indeed, a ROM for simulating nuclear re-
actors control rods movement, which features fast-running compu-
tational time for both reactivity and flux shape prediction, has been
developed relying on the RB method [7,8]. The reactivity and neu-
tron flux shape are computed by solving the stationary version of
the multigroup neutron diffusion equation [11], which can be for-
mulated as a generalized eigenvalue problem. A two-dimensional
(2-D) x-y model featuring two control rods surrounded by fissile
material, with reference to a TRIGA Mark II nuclear reactor
[12], has been employed. The governing partial differential equa-
tions have been parametrized allowing for geometric deformations
of the subdomains to model a continuous movement of the control
rods, where the heights of the rods are the varying parameters.
Within the RB method framework, the centroidal Voronoi tessella-
tion has been employed as a sampling technique for the parameter
space exploration. All the simulations have been performed relying
on a procedure developed on purpose, based on RBniCS [13].
The paper is organized as follows: The RB strategies are first
presented in Sec. 2 for a generalized eigenvalue model problem.
The parametrized reactor spatial kinetics and the implementation
of the RB method are addressed in Sec. 3. The main representative
results are given in Sec. 4. Finally, in Sec. 5, the main conclusions
and future perspectives are presented.
2 RB Strategies
In this section, the fundamental mathematical aspects of the RB
method for a generalized eigenvalue problem are addressed. For the
sake of brevity, a scalar problem is considered, since the extension
to the vectorial case is straightforward. A detailed presentation of
1
Corresponding author.
Manuscript received November 24, 2014; final manuscript received October 25,
2015; published online February 29, 2016. Assoc. Editor: Asif Arastu.
Journal of Nuclear Engineering and Radiation Science APRIL 2016, Vol. 2 / 021019-1
Copyright © 2016 by ASME
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