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A thesis presented for the degree of Doctor of Philosophy

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In Chapter 3, the effect of scalar flux weighting of the linear anisotropic scattering matrices is discussed in the frame of SP3 and S12 calculations. In Chapter 4, the effect of the angular and spatial discretization on the results of perturbation theory calculations is investigated using the SEnTRi code.

Modeling the neutron transport

  • Multigroup approximation
  • Spherical harmonics expansion
  • Diffusion theory
  • Discrete ordinate form

If the total cross-section and the scattering matrices are weighted by the angle-dependent flux, the resulting cross-section will also be angle-dependent and will take the form of Eq. 2.10). In many cases the angular dependence of the neutron flux is not important and the neutron diffusion equation Eq.2.20 can be used.

Perturbation theory calculations

The Linear Perturbation Theory

F operator represents the splitting term, and D represents all the other parts of the transport equation.

Kinetic parameters

It can be observed that the numerator of the equation has the form of the ∆T1, but the macroscopic diameter is replaced by 1/vg,z the neutron velocity. The additional weighted integration for the effective delayed neutron fraction for the precursor families will take the form of Eq.

Sensitivity and Uncertainty calculations

2.52, ρC+ corresponds to the reactivity of the calculation where the system parameter is increased and ρC− where it is decreased. 2.61, however, the error calculation was modified to take into account the variance of the effective multiplication factor.

Solution of the time dependent

Point kinetic solution

If the shape change of the perturbed flux during the transient is relevant, which greatly affects the parameters, the result will be inaccurate. During the solution of the equations, small time steps are needed in the calculation scheme due to the stiffness of the numerical problem.

Direct solution

2.38 and 2.48 are used in Eqs., and T (t) represents the neutron density (or amplitude) as a function of time. Therefore, a time-dependent solution can be obtained from a sequence of time-independent fixed-source problems where the angular flux, fission source, and delayed neutron concentration from the previous time step appear in the external source of the next time step.

Factorization approaches

Transport codes such as PARTISN necessitate predetermined group constants, and higher-order anisotropic scattering matrices can also be considered. SPNDYN also requires predefined group constants and the higher-order anisotropic scattering matrices can similarly be taken into account during the calculation.

Effects of the anisotropic scattering

Calculations for a VVER-440 benchmark

In this case, the information about linearly anisotropic scattering between energy groups is lost and the Σ1s matrix will be diagonal. Using the linearly anisotropic scattering matrices thus obtained for the SPNDYN CGFEM SP3 and PARTISN S12 calculations, the distortion of the power distributions disappears, as shown in Fig. 3b.

Figure 3.1: The reference Serpent 2 assembly power distribution (top values), the SPNDYN CGFEM SP 3 assembly power distribution obtained using flux-weighted linearly anisotropic scattering matrices generated with Serpent 2 (middle values) and their relativ
Figure 3.1: The reference Serpent 2 assembly power distribution (top values), the SPNDYN CGFEM SP 3 assembly power distribution obtained using flux-weighted linearly anisotropic scattering matrices generated with Serpent 2 (middle values) and their relativ

Simple core calculations

However, the deviation between the Serpent 2 and ECCO group constants is larger in the case of linearly anisotropic scattering matrix terms. In the case of SP3 and S12 calculations, direct use of the linearly anisotropic scattering matrix and the scattering matrix derived according to Eq. The larger deviations obtained in the case of the small size core calculations are attributed to the constant generation of the infinite grid pin group.

Figure 3.6: Pin cell models applied for the group constant generation.
Figure 3.6: Pin cell models applied for the group constant generation.

Implementation in the SEnTRi code

Calculation results

Investigations in Cartesian geometry

In the series of images, the effect of the control rod material insertion is evident, especially in the distribution of the direct thermal flux. A mesh dependence test, in which the mesh density was increased in each dimension, was performed with the S8 approximation and the P7 expansion, and the reactivity differences from the different types of perturbation theory calculations can be seen and compared in Fig. analysis, the number of angular divisions with the ordinates and the spherical harmonic expansion were increased at each step, and the control rod reactivity value was determined by the three types of perturbation theory calculations.

Figure 4.3: Mid-plane horizontal sections of the direct and the adjoint scalar fluxes for the KUCA benchmark geometry with the void material
Figure 4.3: Mid-plane horizontal sections of the direct and the adjoint scalar fluxes for the KUCA benchmark geometry with the void material

Investigations in curvilinear geometry

By using the cylindrical coordinate system, neither of the two types of exact perturbation calculations matched the results of the direct method. In curvilinear geometries, none of the exact perturbation theory calculations gave an exact match, and calculations with spherical harmonics appear to be closer to the results from the direct method. 4.9, which again shows that none of the exact perturbation calculations agree with the direct method and with each other.

Figure 4.8: The effect of spatial discretization on the different type of perturbation theory calculations in a curvilinear geometry.
Figure 4.8: The effect of spatial discretization on the different type of perturbation theory calculations in a curvilinear geometry.

The applied codes

Serpent Monte Carlo code

Since the scope of the research extends to transient simulations, a deeper understanding of the physical processes behind the feedback became necessary [61].

The TSUNAMI sequence of SCALE

CODES APPLIED to describe the flux anisotropy have a significant effect on both the accuracy of the calculations and the computational effort. The latest implementation of the SCALE code system is capable of evaluating angular fluxes in the three-dimensional multigroup (MG) KENO Monte Carlo code. Additionally, an IFP-based method is also applied to TSUNAMI continuum energy calculations, however, only the results of TSUNAMI-MG calculations are presented here.

Sensitivity and Uncertainty capabilities

The error calculations for the sensitivity coefficient in the SEnTRi code are based on Gaussian error propagation. In all cases the inner products in the additions of the numerators or the denominator in Eq. 5.4, ​​a general product, where P rodi∗,x,g,g0,z,j contains all cross-sectional and volume data. During calculations with the fluxes calculated by the PARTISN code, the flux convergence criteria are chosen for the relative error, which is an overestimate in most geometric regions.

Figure 5.1: The workflow of the sensitivi calculation with the SEnTRi code.
Figure 5.1: The workflow of the sensitivi calculation with the SEnTRi code.

Calculations for the COMET critical assembly

Overview of the applied approximations

CALCULATIONS FOR CRITICAL ASSEMBLY OF THE COMET AND VALIDATION OF USED METHODS Lead plates were removed from the center, namely two (2V), three (3V) and four (4V). On the other hand, creating the model for the PARTISN code required some homogenization of the geometry and the lead plates sandwiched between two aluminum plates were blended together. Sensitivity coefficients were calculated in the SCALE 252 group structure with all three codes, and uncertainty analysis was performed using the same structure with SCALE and PARTISN codes.

Figure 5.2: The vertical sections of the COMET critical assembly.
Figure 5.2: The vertical sections of the COMET critical assembly.

Sensitivity calculations for the Comet Critical Assembly

The SCALE and the SEnTRi code provide the possibility to perform the sensitivity calculations with a higher order expansion of the angular flux. With the increasing order of expansion, the accuracy of the calculations made by the two codes improves significantly. The cause of the perceived discrepancies was investigated and it was found that the effect of higher order terms mainly contributes to the elastic scattering sensitivity coefficients.

Figure 5.4: The group wise contribution of the three main reaction type to the void reactivity worth for the V4 case divided by the unit lethargy calculated by three codes
Figure 5.4: The group wise contribution of the three main reaction type to the void reactivity worth for the V4 case divided by the unit lethargy calculated by three codes

Uncertainty calculations

Calculations for the ALFRED reactor

Approximations and model description

The main objective of the research was to determine the three reactivity feedback coefficients for the ALFRED reactor and the uncertainty derived from nuclear data using different codes and methods. The cladding expansion coefficient gives the sensitivity keff to the cladding radius due to temperature change, and the Doppler coefficient gives the sensitivity keff to the fuel temperature. For the Doppler coefficient, resonance-corrected αTD cross sections were calculated using the CSASI module of the SCALE code package for a 200 °C elevated temperature to perform the LPT calculations, and the fuel temperature was increased accordingly for the DPM calculations.

Figure 5.6: The horizontal section of the ALFRED reactor core.
Figure 5.6: The horizontal section of the ALFRED reactor core.

Sensitivity calculations for the ALFRED reactor

LPT calculations also show contributions from affected regions. In the case of the refrigerant temperature coefficient, large distortion (±20% vs. ∼2.4% in this work) was applied to obtain good statistics with the applied TSUNAMI. In the case of the cladding coefficient of expansion, ±20% perturbations were also applied, which is extremely large compared to the 1.44% applied in this work and assumes unrealistic temperature changes.

Figure 5.8: Coolant temperature coefficient calculated by the three codes and with the two method.
Figure 5.8: Coolant temperature coefficient calculated by the three codes and with the two method.

Uncertainty calculations for the ALFRED reactor

In the case of LPT calculations, the contributions of the affected regions are also presented. For the Doppler coefficient, the reactions of plutonium isotopes have a high contribution, followed mainly by the inelastic scattering of lead. However, in the case of the coefficient of expansion of the coating, the elastic distribution of lead and iron isotopes becomes more important.

Figure 5.14: The fuel temperature coefficient (Doppler) calculated by the three codes and with the two method
Figure 5.14: The fuel temperature coefficient (Doppler) calculated by the three codes and with the two method

Transient solvers implemented in SEnTRi

The direct transient solver

Predictor Corrector Quasistatic Method

The Point Kinetic solver was based on [81], treats differential equations exactly and uses piecewise constant approximations of the reactivity and the source. The flux is corrected with the amplitude and the delayed precursor concentration is then updated with Eq. After these, a new prediction step is performed and the cycle is repeated until the end of the transient.

Figure 6.2: The workflow of the PCQM transient module of the SEnTRi code
Figure 6.2: The workflow of the PCQM transient module of the SEnTRi code

Calculations for the BME Training Reactor

Description of the benchmark model

The bottom of the cadmium ring was 2 cm below the mid-plane of the core when inserted. CALCULATIONS FOR THE BME TRAINING REACTOR AND THE VALIDATION OF THE TRANSIENT DRIVER a few seconds before the absorber was removed and the reactor returned to a critical state at lower power than at the initial condition. The position refers to the vertical distance between the bottom of the ring and the center plane of the core.

Figure 6.3: Assembly map of the BME TR. The absorber material was inserted into the ’fast’ rabbit system, marked on the figure
Figure 6.3: Assembly map of the BME TR. The absorber material was inserted into the ’fast’ rabbit system, marked on the figure

The applied codes

DMC methodology proposed and developed in [85] and [86], with many of the techniques revised and modified to better suit the GPU architecture. GUARDYAN's input logic is similar to the logic followed by production level codes, such as MCNP [87], Serpent [36] or OpenMC [88], and the geometric model of the reactor closely followed the described benchmark. For that reason, the automatic control bar of the BME TR had to be adjusted 3 cm higher than indicated in the benchmark description.

Figure 6.5: Homogenization procedure for the automatic control rod (not on scale). The heterogeneous reference model is on the left, and the equivalent homogeneous model is on the right.
Figure 6.5: Homogenization procedure for the automatic control rod (not on scale). The heterogeneous reference model is on the left, and the equivalent homogeneous model is on the right.

Calculation results

This discrepancy can be attributed to the uncertainties regarding the movement of the rabbit and the approximations of the measure. In the above experiments, the point kinetics can give an almost perfect estimate for the time dependence of the force. On the other hand, in the first part of the curves, a significant difference can be observed.

Figure 6.7: Comparison of the different calculation methods for the instantaneously inserted sample
Figure 6.7: Comparison of the different calculation methods for the instantaneously inserted sample

The ALLEGRO reactor concept

In order to investigate the effect of diffusion and transport approximation in the simulation of the mentioned transition, the investigation with SEnTRi and PARTISN codes was started in collaboration with the Center for Energy Research. Steady-state calculations were also performed with PARTISN, KIKO3DMG, and Serpent to investigate the effect of diffusion and transport approximations. During the selected unprotected transient over-power described in [76], one of the internal CSD control assemblies is withdrawn from the core by 12 cm in 12 s.

The PARTISN model

It is also assumed that SCRAM will not appear; therefore, the inserted reactivity of about 400 pcm will be compensated by negative core feedback coefficients. The simulation requires a 3D approximation, as the motion of the joystick causes a large variation of the flux solution in the core, and spatial effects become important.

Extension of the SEnTRi code

The coating density in the reference model changed only near the fuel elements;. however, during homogenization, a density change along the entire length of the coating was considered. Volume mixing was also implemented in the SEnTRi code to account for thermal expansion of the fuel.

Calculation results

The relative power distributions of the assembly at the beginning and end of the transition state are also compared in Fig. We also compare the reactivities of the system during the transient state with the relative powers. The KIKO3DMG/ATHLET 3.0 results (peak values) are compared to the SEn-TRI/PARTISN calculation (mean values).

Table 6.5: Comparison of the effective multiplication factors and reactivities for the three reactor states.
Table 6.5: Comparison of the effective multiplication factors and reactivities for the three reactor states.

Outlook

I developed the SEnTRi code to determine the sensitivity coefficients using the PARTISN discrete ordinate neutron transport code. Application of the virtual density theory in fast reactor analysis based on the neutron transport calculation”. An assessment of the applicability of multigroup cross sections generated with the Monte Carlo method for fast reactor analysis.

Imagem

Figure 3.5: The reference Serpent 2 assembly power distribution (top values), the PARTISN S 12
Table 3.1: Group constant obtained with Serpent 2 and the ECCO module of the ERANOS code system
Figure 4.1: The workflow of the perturbation theory calculation with the SEnTRi code.
Figure 4.5: The effect of spatial discretization on the different type of perturbation theory calculations in a Cartesian geometry.
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