Effect of Axial Burnup on Power Distribution and Isotope Inventory for a PWR Fuel Assembly
|
|
- Vernon Griffin Gilbert
- 5 years ago
- Views:
Transcription
1 Effect of Axial Burnup on Power Distribution and Isotope Inventory for a PWR Fuel S. M. Reda a1 and E. A. Amin b (a) Physics Department, Faculty of Science, Zagazig University, Egypt (b) Nuclear and Radiological Regulatory Authority, Egypt Received: 22/9/2016 Accepted: 10/11/2016 ABSTRACT Axial burnup is an important factor in criticality safety and thermo-hydraulic calculation. In the present study, the effect of axial distribution of burnup on power distribution and isotope inventory were evaluated using combination of the WIMSD-5B and MCNP5 codes for PWR fuel rods assembly. The fuel rods of assembly were divided into 5, 8 and 10 zones. The system was normalized to the total thermal power MWth, which was derived using the fuel assembly load of kg. The MCNP5 code has been used to perform three dimensional neutron physics analysis while WIMSD-5B was used for generation of number densities at various stages of fuel burnup. The results were compared with data from the Takahama-3 Benchmark. The calculated-to-experimental and previous calculated results for ratios of U-235, U-236, U-238 and many important nuclides show good agreement. Both results for the isotopic inventory and the power distribution emphasize the importance of considering the axial variation of burnup. Keywords: PWR axial power/ Axial power distribution/ PWR burnup/ PWR fuel/ MCNP power calculations INTRODUCTION As fuel is burned in a reactor, the burnup of the fuel becomes distributed axially and the reactivity of the fuel decreases. The profile of this axial distribution attains a flattened cosine shape with time, although the exact profile varies significantly with operating history and other effects unique to the individual reactor and fuel assembly. The cosine shape is representative of typical burnup profiles, which shows that the ends of the fuel are less burned than the central region. The ends of the fuel can create positive reactivity relative to the central region, hence the term end-effects (1). In reactor calculations, the same isotopic composition is usually considered axially for the fuel assembly. When the uniform axial isotopic distribution is assumed, the most reactive region of the element is the mean axial plane (2). The dynamics of reactors operations result in non-uniform axialburnup profiles in fuel with any significant burnup (3). In the present work the effect of considering different isotopic compositions for different axial segments is considered with the aim to show the effect of the axial divisions on both power distribution and isotopic inventory. Simulation of the Takahama-3 benchmark assembly is used in the present study. Takahama-3 reactor is a burnup benchmark experiment that can be used to validate codes and burnup calculation techniques. It is a PWR operated by Kansai Electric Power Company of Japan. The irradiation examinations were carried out on two of 157 (17x17 fuel rods) assemblies. Each of the fuel assemblies contains 248 UO 2 rods at 4.1% U-235 enriched, 16 UO 2 -Gd 2 O 3 rods at 2.6% U-235 enriched containing 6% Gd 2 O 3 and 25 control rods guide tubes (4-6). The Takahama-3 assay data and the results of the benchmark studies have potentially important implications for burnup credit in the United States (7). These data have been applied to benchmark the isotopic predictions using the SCALE 4.4a and HELIOS-I.6 code systems (8). A coupled neutronics-thermal hydraulics calculation was carried out to analyze the axial power distribution of the Europe High Performance Light Water Reactor (EHPLWR) fuel assembly (9). The result of this work showed that the axial power distribution of the EHPLWR fuel assembly does not 1 Corresponding author sonreda@yahoo.com 123
2 follow the cosine shape when the burn-up is not taken into account. There were two peaks, the larger one is close to the lower part and the smaller one is close to the upper part of the fuel. Another analysis was carried out with a self-developed Thermohydraulics (T/H) code and MCNP code (10). Only the active part of the fuel assembly is taken into consideration and the result showed that only one power peak which is close to the bottom of the fuel assembly. Furthermore, these results indicated that not only the burnup but also the enrichment has a great influence on the power profile of the EHPLWR fuel assembly. Another study was carried out to analyze the axial power distribution of the SCWR-CANDU fuel assembly (11). The result shows that the density change of the water has little effect on the axial power distribution of the fuel assembly. The power profile follows the cosine shape approximately. The CFX 13.0 code and MCNP4C code were coupled for the axial power distribution analysis of the super critical water reactor assembly (12). The density change effect of the water is taken into account. The burn-up and enrichment of the fuel assembly were not taken into consideration. Moreover, the power distribution was not affected by changing the water density. Monte Carlo burnup simulations are important tools for reference calculations concerning core properties during normal operation (13-16). One of the methods that can give an accurate enough result for problems, involving burnup dependent number densities when using Monte Carlo based codes, is employing lattice codes. These codes like WIMS (17) can be used in conjunction with Monte Carlo codes. Such lattice codes can generate burnup dependent number density values for an equivalent unit cell representative of full geometry (18). In this work, the fuel rods of assembly were divided into 5, 8 and 10 zones. The system was normalized to the total thermal power MWth, which was derived using the fuel assembly load of kg. The MCNP5 code has been used to perform three dimensional neutron physics analysis while WIMSD-5B was used for generation of number densities at various stages of fuel burnup. Calculations for the atomic densities of most isotopes of Uranium, Neptunium, Plutonium, Americium, Curium and some fission products were performed. The results were compared with measured and calculated SF95 fuel rod (8) and other two published results (5,7). MATERIAL AND METHODS Monte Carlo burnup simulation for Takahama-3, PWR 17x17 fuel rods assembly, was performed to study the effect of dividing the assembly fuel rods axially in to number of zones on the axial assembly power distribution. The methodology includes dividing the fuel rod into 5, 8, and 10 equal parts. The isotopic inventories for all important isotopes are determined up to 385-day irradiation. The simulation of the assembly performed by MCNP5 is done in full details with different divisions of the axial direction as mentioned earlier in one, five, eight and ten equal segments. The code WIMSD-5B delivers the isotopic inventory for the irradiation level of each segment. UO 2 Fig. (1): UO 2 fuel pin cells model 124
3 In the WIMSD-5B calculations of both the PWR UO 2 and UO 2 -Gd 2 O 3 fuel rods of the Takahama-3 burnup benchmark are simulated by a simple infinite fuel pin cell model as shown in figure (1) (for UO 2 bin). The main takahama-3 information is given in table (1). The pin irradiation according to UO 2 fuel rod (SF95) of the Takahama-3 burnup benchmark is illustrated in Table (2). Our results of UO 2 fuel bin were compared those of SF95 fuel rod results (Table 7). The MCNP5 fuel rod assembly model is illustrated in Figure (2). The atomic number densities shown in Table (3) refer to the fresh fuels used in power profile calculation at zero burnup. Important nuclides are those that directly or indirectly affect notably the result of a burnup calculation. In the simulations, it was assumed that all the nuclides which the mass fraction or atomic fraction or fission fraction or absorption fraction is higher than 10-4 are important according to Dalle, 2009 (7). The assembly power distribution was performed for each considered case with 0 and after 385 day burnup. In each case, the fuel rods were divided into equal lengths intervals. The irradiation distributions for each case are shown in Tables (4 to 6). The high precision of obtained parameters was assured by performing simulation with 100 inactive and 200 active cycles of 15E+4 neutrons, which gives 45E+6 particle histories. The particle histories are greater than 20E+6, a value recommended by Kepisty and Cetnar (2015) (15). Under these conditions, the relative error of tallies is much below 0.01%, which is sufficient for reliable Monte Carlo simulations. UO 2 fuel rods UO2-Gd2O3 fuel rods Position of Control Rod (fill with coolant) Fig. (2):17 x 17 fuel rods assembly 125
4 Table (1): Takahama-3 information Total No. of Uranium Reactor Power Uranium Power(MW) Mass (ton) Power (M) (MW) Mass (ton) Table (2). Burnup distributions for the UO 2 fuel rod (SF95) Distance on Z-axis from fuel top (cm) Sample ID From to SF SF SF SF SF Z- axis intervals Table (3): Atomic densities of the assembly materials Material Isotope Atomic densities (Atoms/barn.cm) Material Isotope Burnup (GWd/MTU) Atomic densities (Atoms/barn.cm) UO2 UO2-Gd2O3 U e-06 U e-06 U e-04 U e-04 U e-02 U e-02 O e-02 Gd e-05 Borated water Gd e-04 H e-02 Gd e-04 O e-02 Gd e-04 B e-06 Gd e-04 B e-05 Gd e-04 Zircaloy-4 O e-02 Cr - natural e-05 Fe - natural e-04 Zr - natural e-02 Table (4): Irradiation distributions for the five intervals Z- Intervals Interval Power (Pi) MW (Pfi)Power = (Pi)/Average assembly power Pfi * (MWd/ton) Irradiation (GWd/MTU) UO UO2-Gd2O Total Power = MW, Average Power = MW 126
5 Table (5): Irradiation distributions for the 8 intervals Z- Intervals Interval Power (Pi) MW (Pfi)Power = (Pi)/Average assembly power 127 Pfi * (MWd/ton) Irradiation (GWd/MTU) UO UO2-Gd2O Total Power = MW, Average Power = MW Table (6): Irradiation distributions for the 10 intervals Z- Intervals Interval Power (Pi) MW (Pfi)Power = (Pi)/Average assembly power Pfi * (MWd/ton) Irradiation (GWd/MTU) UO UO2-Gd2O Total Power = MW, Average Power = MW
6 RESULTS AND DISCUSSION PWR UO 2 fuel rod of the Takahama-3 burnup benchmark (SF95) was simulated by combination of MCNP5 and WIMSD-5B. The comparison of calculated current results with experimental (C/E) and calculations of Takahama-3 fuel rod (SF95) and another two references (5,7) is illustrated in Table (7). The reported results in Table 7 for all isotopes are given as discharge values (immediately after irradiation). The experimental results for Pu-239 included Np-239 (decay parent) because of the difficulty separating these actinides. Therefore, calculated values of Pu-239 plus Np- 239 were used for comparisons with the experimental values for Pu-239 (Table 7) according to Sanders and Gauld (2003) (8). The calculated-to-experimental ratios for U-235, U-236, U-238 and many important nuclides, listed in Table (7), show a good agreement in the range of ±10%. Similarly, the comparison with the average calculated results (5,7) shows a good agreement for most nuclides. Ratios for some isotopes as Pu-238, Pu-240, Am-242 and Cm-242 show a poor agreement more than ±10%, which indicated some significant discrepancies either in the formation or the destruction path of these isotopes. The different nuclear data libraries used in the supplementary benchmarking studies would be recommended to find source of the discrepancies in accordance of Oettingean and Cetnar (2014) (10). The difference in U-235 nuclide density remarked in the current calculation, in comparison to experimental and other codes calculations might be due to many reasons. This includes: detailed actinides decay chain and the different neutron cross section data libraries (14). The present WIMSD- 5B calculations use the WLUP WIMS library that is based on ENDF/V II. The measured values for the important nuclides in Table (7) were slightly higher than the calculated values, (less than ±10%) except for Pu-238. For Pu-238, the difference between the measured and calculated values was 20%. The reason for the higher values is presumed to be due to background contaminations from the point of view of Kihsoo et al., (2012) (19). As seen in Table (7), the average results are close to the experimental and previous calculated data. The difference between the measured and the calculated results using SAS2H or the Origen-2 code for the Pu isotopes in Takahama-3 reactor ranged from 13 15%. Some of the nuclide C/E ratios of both SCALE 4.4a and HELIOS-1.6 codes were improved compared to earlier results, including those for Cs-134 and Eu-254 (8). Nevertheless, the isotopic data which are widely used to validate the codes and data used for predicting isotopic compositions in spent fuel are generally available only for specific fuel rods (20, 21, 22, 7) and not for the assembly average (20). 128
7 Table (7): Comparison of current results with experimental (C/E) and calculated results of Takahama-3 SF95 fuel rod and another two references (5,7) Burnup Current (GWd/ton) Average Nuclide C/E C/E C/E C/E C/E C/M Average Takahama (SAS2H) (8) Average Takahama (HEMOS) (8) Average C/E (Dalle 2009) (7) Average C/E (Suyama et al 2002) (5) 234 U U U U Pu Pu Pu Pu Pu Am m Am ND ND 243 Am Cm Cm Cm Cs Cs Eu Sb ND ND 106 Ru ND ND 143 Nd Nd
8 The full Takahama-3 assembly was simulated by MCNP5 to estimate the power distribution at 0 and after 385-day burnup. The power calculations have been done by f4 tally for average neutron flux with 45 million nps. The isotopes atomic densities (g/mgu) for 5, 8 and 10 sections assembly, UO 2 and UO 2 -Gd2O 3 fuel rods are illustrated in Tables (8 to 13). The tabulated data show that the 235 U, 238 U, 155 Gd and 157 Gd isotopes have the same average atomic densities in all 5, 8 and 10 axial zones for UO 2 and UO 2 -Gd2O 3. Table (8): Isotopes Atomic density (g/mgu) for 5 sections UO 2 fuel rods assembly Sections Section 1 Section 2 Section 3 Section 4 Section 5 Burnup (GWd/ton) Nuclide Average Over the five sections 234 U 3.44E E E E E E U 2.84E E E E E E U 2.23E E E E E E U 9.53E E E E E E Np 9.85E E E E E E Np 6.70E E E E E E Pu 9.53E E E E E E Pu 3.53E E E E E E Pu 5.80E E E E E E Pu 3.02E E E E E E Pu 2.55E E E E E E Am 3.51E E E E E E m Am 3.77E E E E E E Am 1.25E E E E E E Cm 3.83E E E E E E Cm 1.94E E E E E E Cm 8.61E E E E E E Gd 6.67E E E E E E Gd 1.46E E E E E E Gd 2.94E E E E E E Gd 3.57E E E E E E Gd 2.37E E E E E E Ru 4.76E E E E E E Sb 2.79E E E E E E Cs 1.76E E E E E E Cs 4.75E E E E E E Nd 4.09E E E E E E Nd 2.95E E E E E E Eu 2.64E E E E E E
9 Table (9): Isotopes Atomic density (g/mgu) for 5 sections UO 2 -Gd 2 O 3 fuel rods assembly Sections Section 1 Section 2 Section 3 Section 4 Section 5 Burnup (GWd/ton) Nuclide Average Over the five sections 234 U 1.87E E E E E E U 2.46E E E E E E U 3.19E E E E E E U 9.16E E E E E E Np 3.40E E E E E E Np 1.57E E E E E E Pu 8.73E E E E E E Pu 9.21E E E E E E Pu 5.80E E E E E E Pu 1.32E E E E E E Pu 1.06E E E E E E Am 1.46E E E E E E m Am 5.97E E E E E E Am 1.28E E E E E E Cm 3.49E E E E E E Cm 8.31E E E E E E Cm 3.31E E E E E E Gd 1.33E E E E E E Gd 8.46E E E E E E Gd 1.22E E E E E E Gd 8.88E E E E E E Gd 2.81E E E E E E Ru 5.62E E E E E E Sb 2.53E E E E E E Cs 7.80E E E E E E Cs 4.50E E E E E E Nd 4.15E E E E E E Nd 2.96E E E E E E Eu 1.12E E E E E E
10 Table (10): Isotopes Atomic density (g/mgu) for 8 zones UO 2 fuel rods assembly Sections Section 1 Section 2 Section 3 Section 4 Section 5 Section 6 Section 7 Section 8 Average over the eight sections Burnup (GWd/ton) Nuclide 234 U 3.60E E E E E E E E E U 3.17E E E E E E E E E U 1.67E E E E E E E E E U 9.54E E E E E E E E E Np 5.81E E E E E E E E E Np 6.51E E E E E E E E E Pu 4.02E E E E E E E E E Pu 2.89E E E E E E E E E Pu 3.68E E E E E E E E E Pu 1.38E E E E E E E E E Pu 7.78E E E E E E E E E Am 1.12E E E E E E E E E m Am 9.79E E E E E E E E E Am 2.60E E E E E E E E E Cm 8.70E E E E E E E E E Cm 3.03E E E E E E E E E Cm 1.22E E E E E E E E E Gd 2.36E E E E E E E E E Gd 1.01E E E E E E E E E Gd 1.83E E E E E E E E E Gd 3.01E E E E E E E E E Gd 1.43E E E E E E E E E Ru 3.15E E E E E E E E E Sb 1.94E E E E E E E E E Cs 9.15E E E E E E E E E Cs 3.38E E E E E E E E E Nd 3.01E E E E E E E E E Nd 2.13E E E E E E E E E Eu 1.33E E E E E E E E E
11 Table (11): Isotopes Atomic density (g/mgu) for 8 zones UO 2 -Gd 2 O 3 fuel rods assembly Sections Section 1 Section 2 Section 3 Section 4 Section 5 Section 6 Section 7 Section 8 Average over the eight sections Burnup (GWd/ton) Nuclide 234 U 1.87E E E E E E E E E U 2.47E E E E E E E E E U 2.25E E E E E E E E E U 9.16E E E E E E E E E Np 1.73E E E E E E E E E Np 1.26E E E E E E E E E Pu 3.09E E E E E E E E E Pu 4.97E E E E E E E E E Pu 2.83E E E E E E E E E Pu 4.52E E E E E E E E E Pu 2.56E E E E E E E E E Am 3.53E E E E E E E E E m Am 1.01E E E E E E E E E Am 2.16E E E E E E E E E Cm 5.90E E E E E E E E E Cm 2.69E E E E E E E E E Cm 4.10E E E E E E E E E Gd 1.33E E E E E E E E E Gd 8.51E E E E E E E E E Gd 1.22E E E E E E E E E Gd 8.99E E E E E E E E E Gd 2.79E E E E E E E E E Ru 3.94E E E E E E E E E Sb 1.78E E E E E E E E E Cs 3.86E E E E E E E E E Cs 3.17E E E E E E E E E Nd 2.92E E E E E E E E E Nd 2.08E E E E E E E E E Eu 5.51E E E E E E E E E
12 Table (12): Isotopes Atomic density (g/mgu) for 10 zones UO 2 fuel rods assembly Sections Burnup (GWd/ton) Nuclide Section 1 Section 2 Section 3 Section 4 Section 5 Section 6 Section 7 Section 8 Section 9 Section Average over the ten sections 234 U 3.81E E E E E E E E E E E U 3.64E E E E E E E E E E E U 8.41E E E E E E E E E E E U 9.57E E E E E E E E E E E Np 1.91E E E E E E E E E E E Np 6.46E E E E E E E E E E E Pu 6.40E E E E E E E E E E E Pu 1.65E E E E E E E E E E E Pu 1.10E E E E E E E E E E E Pu 1.95E E E E E E E E E E E Pu 4.74E E E E E E E E E E E Am 7.17E E E E E E E E E E E m Am 3.64E E E E E E E E E E E Am 7.22E E E E E E E E E E E Cm 2.62E E E E E E E E E E E Cm 4.17E E E E E E E E E E E Cm 1.52E E E E E E E E E E E Gd 2.46E E E E E E E E E E E Gd 5.23E E E E E E E E E E E Gd 6.92E E E E E E E E E E E Gd 2.14E E E E E E E E E E E Gd 4.97E E E E E E E E E E E Ru 1.27E E E E E E E E E E E Sb 8.68E E E E E E E E E E E Cs 2.12E E E E E E E E E E E Cs 1.59E E E E E E E E E E E Nd 1.48E E E E E E E E E E E Nd 1.02E E E E E E E E E E E Eu 2.99E E E E E E E E E E E
13 Table (13): Isotopes Atomic density (g/mgu) for 10 zones UO 2 -Gd 2 O 3 fuel rods assembly Sections Section 1 Section 2 Section 3 Section 4 Section 5 Section 6 Section 7 Section 8 Section 9 Section 10 Average over the ten sections Burnup (GWd/ton) Nuclide U 1.88E E E E E E E E E E E U 2.47E E E E E E E E E E E U 1.05E E E E E E E E E E E U 9.16E E E E E E E E E E E Np 3.89E E E E E E E E E E E Np 7.00E E E E E E E E E E E Pu 3.19E E E E E E E E E E E Pu 1.22E E E E E E E E E E E Pu 6.04E E E E E E E E E E E Pu 4.51E E E E E E E E E E E Pu 1.18E E E E E E E E E E E Am 1.63E E E E E E E E E E E m Am 2.35E E E E E E E E E E E Am 4.63E E E E E E E E E E E Cm 1.26E E E E E E E E E E E Cm 1.95E E E E E E E E E E E Cm 2.35E E E E E E E E E E E Gd 1.33E E E E E E E E E E E Gd 8.57E E E E E E E E E E E Gd 1.21E E E E E E E E E E E Gd 9.13E E E E E E E E E E E Gd 2.78E E E E E E E E E E E Ru 1.84E E E E E E E E E E E Sb 8.31E E E E E E E E E E E Cs 8.43E E E E E E E E E E E Cs 1.48E E E E E E E E E E E Nd 1.37E E E E E E E E E E E Nd 9.74E E E E E E E E E E E Eu 1.20E E E E E E E E E E E
14 Table (14) gives the variation of keff as a function of the number of axial layers. It is clear from the Table that keff increases with the increase of the nodes number (positive reactivity) at high burnup value. Table (15) gives the isotopic inventory variations with the number of axial nodes at burnup 385 days. The values for the different isotopes in general increase with the increase of nodes number. Table (14): k eff as a function of the number of axial layers Burnup Sections Keff S.D. 0 Day Burnup 385 Day Burnup Table (15): Isotopic inventory variations with the axial nodes number Materials Sections Nuclide UO UO2-Gd2O U 3.39E E E E E E E E U 2.74E E E E E E E E U 2.40E E E E E E E E U 9.52E E E E E E E E Np 1.14E E E E E E E E Np 6.12E E E E E E E E Pu 1.21E E E E E E E E Pu 3.69E E E E E E E E Pu 6.46E E E E E E E E Pu 3.69E E E E E E E E Pu 3.48E E E E E E E E Am 4.72E E E E E E E E m Am 5.32E E E E E E E E Am 1.88E E E E E E E E Cm 5.62E E E E E E E E Cm 3.13E E E E E E E E Cm 1.44E E E E E E E E Gd 8.86E E E E E E E E Gd 1.66E E E E E E E E Gd 3.34E E E E E E E E Gd 3.80E E E E E E E E Gd 2.73E E E E E E E E Ru 5.32E E E E E E E E Sb 3.07E E E E E E E E Cs 2.10E E E E E E E E Cs 5.21E E E E E E E E Nd 4.44E E E E E E E E Nd 3.21E E E E E E E E Eu 3.17E E E E E E E E
15 Axial Power (MW) Arab Journal of Nuclear Science and Applications, 50 (2), ( ) 2017 The axial Power Distributions for the five, eight and ten axial intervals at 0 and after 385- day burnup are shown in Figures (3 to 8) respectively. Figures (3, 5 and 7) represent the power distributions of the fresh fuel assembly used in this study (0 burnup). The sum of all power fractions is 100%, which mean the total power of the assembly. From these figures, one can remark that the greatest power fractions are concentrated in assembly center in spite of the fuel compositions are the same in each zone (9,10). It is clear that the power decreases near the assembly boundary with the number of axial zones increase. Nuclear effects which cause variations in the axial power profile include moderator density, Doppler Effect on resonance absorption, spatial distribution of xenon, burnup, and finally the axial distribution of fuel enrichment and burnable absorber (23). Figures (4, 6 and 8) represent the power distributions corresponding to each irradiated zones. Based on these figures, and because of the computer time constraint, burnup calculations with MCNP5 were done for just one assembly with different fuel irradiation zones. For a detailed evaluation it is still necessary to perform a neutron flux mapping by means of adequate measurements. The neutron flux mapping in the whole assembly was performed in MCNP5 3D geometry with high spatial resolution (8). The results of such calculations are representative of the neutron physics and thermal hydraulic conditions in the assembly. These calculations form the basis for the assembly design validation and evaluation of assembly performance. Due to the variation of the power peaks with the burnup progresses, the power decreases in the assembly center and increases gradually directing to the assembly boundary at all. The results are in accordance with De Hart et al., (2008) (1). It is clear from Figures (4, 6 and 8) that the power decreases in the assembly center and increases near the assembly boundary with increasing the number of axial zones. It means that, the greater axial zones number the smallest the power at the assembly center and vice versa. Considering that the power summation equals 100% and considering also, that the cores of LWR are large relative to the neutron diffusion length, the local neutron flux and the power density measurements are not basically constant. In these reactors, the systems for determining the axial power profile or the local power density play a major role. A PWR employing fixed in-core detector in experimental work, have thus, power density measurements with higher accuracies (16). On the other hand, the inserted reactivity by the boron cloud, which is made of the contributions from prompt and delayed neutrons, could have an effect on the calculation of power density. Those contributions are not constant, but they change with the time according to the nuclear reactor dynamics equations (24). MCNP5 code allows only static calculations in which the time dependent effect of delayed and prompt neutrons cannot be resolved. However, a short range of applicability was found resolving the reactivity inserted by the prompt and delayed neutrons (25) Z-Axis from fuel top Fig. (3): 5- Zone power distribution with 0 day burnup 137
16 Axial Power (MW) Axial Power (MW) Axial Power (MW) Arab Journal of Nuclear Science and Applications, 50 (2), ( ) Z-Axis from fuel top Fig. (4): 5-Zone power distribution after 385 day burnup Z-Axis from fuel top Fig. (5): 8- Zone power distribution with 0 day burnup Z-Axis from fuel top Fig. (6): 8- Zone power distribution with 385 day burnup 138
17 Axial Power (MW) Axial Power (MW) Arab Journal of Nuclear Science and Applications, 50 (2), ( ) Z-Axis from fuel top Fig. (7): 10- Zone power distribution with 0 day burnup Z-Axis from fuel top Fig. (8): 10- Zone power distribution with 385 day burnup CONCLUSION The methodology presented in this study allows a comprehensive assessment of the average and maximum axial power distribution for pressurized water reactor assembly. The present Monte Carlo MCNP5 and WIMSD-5B calculations were validated by comparison with the published experimental and calculated data for Takahama-3 reactor and other publications (5,7). The observed axial power distribution reflected mainly the effect of different irradiation in each fuel zone. Due to the variation of the power peaks with the burnup progresses, the power decreases in the assembly center and increases gradually directing to the assembly boundary as well as with the zones number increase, considering constant assembly power. k eff and the values for the different isotopes increase with the increase of nodes number. Both results for the isotopic inventory and the power distribution emphasize the importance of considering the axial variation of burnup. REFERENCES (1) De Hart, M.D., Gauld, I.C. and Suyama, K., Three-dimensional depletion analysis of the axial end of a Takahama fuel rod. International Conference on the Physics of Reactors Nuclear Power: A Sustainable Resource. Casino-Kursaal Conference Center, Interlaken, Switzerland. September (2008). 139
18 (2) Faria, D., V., A Burnup Credit Methodology for PWR Spent Fuel Storage Pool. Master of Science in Nuclear and Chemical Engineering, Departamento de Ingeniería. Uímica y Nuclear (2012). (3) Wagner, J.C. and De Hart, M.D., Review of Axial Burnup Distribution Considerations for Burnup Credit Calculations. ORNL/TM-1999/246 (2000). (4) Nakahara, Y., Suyama, K., Inagawa, J., Nagaishi, R., Kurosawa, S., Kohno, N., Onuki, M. and Mochizuki, H., Nuclide Composition Benchmark Data for Verifying Burn-up Codes on Light Water Reactor Fuels. Nucl. Technol. 137(2), (2002). (5) Suyama, K., Mochizuki, H. and Kiyosumi, T., Revised Burnup Code System SWAT: Description and Validation Using Post- irradiation Examination Data. Nucl. Technol. 138(2), (2002). (6) Roque, B., Marimbeau, P., Grouiller, J. P., Tsilanizara, A. and Huynh, T. D., Specification for the Phase 1 of a Depletion Calculation Benchmark Devoted to Fuel Cycles. NEA/NSC/DOC(2004)11, CEA, France (2004). (7) Dalle, H.M., Monte Carlo Burup Simulation of the Takahama-3 Benchmark Experiment. International Nuclear Atlantic Conference INAC (2009). (8) Sanders, C.E. and Gauld, LC., Isotopic Analysis of High-Burnup PWR Spent Fuel Samples From the Takahama-3 Reactor, Oak Ridge National Laboratory Managed by UT-Battelle, LLC Oak Ridge, TN , R. Y. Lee, NRC Project Manager (2003). (9) Waata, C., Schulenberg, T., Cheng, X., Starfinger, J. and Lauruen, E., Coupling of MCNP with a sub-channel code for analysis of a HPLWR Fuel. In: NURETH-11, Avigon, France (paper 021) (2005). (10) Reiss, T., Feher, S. and Czifrus, S., Coupled Neutronics and Thermohydraulics Calculations with Burn-up for HPLWRs. J. Prog. Nucl. Energy., 1-10 (2008). (11) Shan, J.Q., Chen, W. and Leung, L.K.H., Coupled Neutronics/Thermal-Hydraulics Analysis of CANDU-SCWR Fuel. In: 4 th International Symposium on Supercritical Water-Cooled Reactors, Heidelberg, Germany (2008). (12) Xi Xi, Zejun Xiao, Xiao Yan, Yongliang Li and Yanping Huang, The Axial Power Distribution Validation of the SCWR Fuel with Coupled Neutronics-Thermal Hydraulics Method. Nucl. Engin. Design. 258, (2013). (13) X-5 Monte Carlo Team, MCNP - a General Monte Carlo N-particle Transport Code. Version 5, Volume I: Overview and Theory. Los Alamos National Laboratory (2003). (14) El Bakkaria, B., El Bardouni, T., Merroun, O., El Younoussi, C., Boulaich, Y., Boukhal, H. and Chakir, E., Validation of a New Continuous Monte Carlo Burnup Code Using a Mox Fuel. Nucl. Engin. Design. 239, (2009). (15) Kepisty, G. and Cetnar, J., Burnup Instabilities in the Full-core HTR Model Simulation. Ann. Nucl. Energy. 85, (2015). (16) Dias, A.M. and Silva, F.C., Determination of the Power Density Distribution in a PWR Reactor Based on Neutron Flux Masurements at Fixed Reactor in Core Detectors, Ann. Nucl. Energy. 90, (2016). (17) Halsall, M. and Tauman, C., WIMS-D: A Neutronics Code for Standard Lattice Physics Analysis, Distributed by the NEA Databank, NEA 1507 (1997) (18) Chaudri, K.S. and Mirza, S.M., Burnup Dependent Monte Carlo Neutron Physics Calculations of IAEA MTR Benchmark. Prog. Nucl. Energy. 81, (2015). (19) Kihsoo Joe, Young-Shin Jeon, Sun-HoHan, Chang-Heon Lee, Yeong-Keong Ha and Kyuseok Song., Determination of Plutonium Content in High Burnup Pressurized Water Reactor Fuel Samples and its Use for Isotope Correlations for Isotopic Composition of Plutonium. Appl. Radiat. Isot. 70, (2012). 140
19 (20) Hermann, O.W., Bowman, S.M., Brady, M.C. and Parks, C.V., Validation of the SCALE System for PWR Spent Fuel Isotopic Composition Analyses, ORNLJTM-12667, Martin Marietta Energy Systems, Oak Ridge National Laboratory (1995). (21) De Hart, M.D., and Hermann, O.W., An Extension of the Validation of SCALE (SAS2H) Isotopic Predictions for PWR Spent Fuel, ORNLtrM-13317, Lockheed Martin Energy Research Corp, Oak Ridge National Laboratory (1996). (22) Rahimi, M., Fuentes, E. and Lancaster, D., Isotopic and Criticality Validation for PWR Actinide- Only Burnup Credit, DOEIRW-0497, Office of Civilian Radioactive Waste Management, U.S. Department of Energy (1997). (23) WCAP NP-A, Appendix A, APP-GW-GLR-156, May 2015, Revision 1. (24) Ott, K.O. and Neuhold, R.J., Introductory Nuclear Reactor Dynamics, American Nuclear Society, Illinois 60525, ISBN (1985). (25) Pecchia, M., Parisi, C., D Auria, F. and Mazzantini, O., Application of MCNP for Predicting Power Excursion during LOCA in Atucha-2 PHWR. Ann. Nucl. Energy. 85, (2015). 141
Strategies for Applying Isotopic Uncertainties in Burnup Credit
Conference Paper Friday, May 03, 2002 Nuclear Science and Technology Division (94) Strategies for Applying Isotopic Uncertainties in Burnup Credit I. C. Gauld and C. V. Parks Oak Ridge National Laboratory,
More informationEnglish text only NUCLEAR ENERGY AGENCY NUCLEAR SCIENCE COMMITTEE
Unclassified NEA/NSC/DOC(2007)9 NEA/NSC/DOC(2007)9 Unclassified Organisation de Coopération et de Développement Economiques Organisation for Economic Co-operation and Development 14-Dec-2007 English text
More informationParametric Study of Control Rod Exposure for PWR Burnup Credit Criticality Safety Analyses
35281 NCSD Conference Paper #2 7/17/01 3:58:06 PM Computational Physics and Engineering Division (10) Parametric Study of Control Rod Exposure for PWR Burnup Credit Criticality Safety Analyses Charlotta
More informationMOx Benchmark Calculations by Deterministic and Monte Carlo Codes
MOx Benchmark Calculations by Deterministic and Monte Carlo Codes G.Kotev, M. Pecchia C. Parisi, F. D Auria San Piero a Grado Nuclear Research Group (GRNSPG), University of Pisa via Diotisalvi 2, 56122
More informationSafety analyses of criticality control systems for transportation packages include an assumption
Isotopic Validation for PWR Actinide-OD-!y Burnup Credit Using Yankee Rowe Data INTRODUCTION Safety analyses of criticality control systems for transportation packages include an assumption that the spent
More informationStudy of Burnup Reactivity and Isotopic Inventories in REBUS Program
Study of Burnup Reactivity and Isotopic Inventories in REBUS Program T. Yamamoto 1, Y. Ando 1, K. Sakurada 2, Y. Hayashi 2, and K. Azekura 3 1 Japan Nuclear Energy Safety Organization (JNES) 2 Toshiba
More informationCOMPARATIVE ANALYSIS OF WWER-440 REACTOR CORE WITH PARCS/HELIOS AND PARCS/SERPENT CODES
COMPARATIVE ANALYSIS OF WWER-440 REACTOR CORE WITH PARCS/HELIOS AND PARCS/SERPENT CODES S. Bznuni, A. Amirjanyan, N. Baghdasaryan Nuclear and Radiation Safety Center Yerevan, Armenia Email: s.bznuni@nrsc.am
More informationParametric Studies of the Effect of MOx Environment and Control Rods for PWR-UOx Burnup Credit Implementation
42 Parametric Studies of the Effect of MOx Environment and Control Rods for PWR-UOx Burnup Credit Implementation Anne BARREAU 1*, Bénédicte ROQUE 1, Pierre MARIMBEAU 1, Christophe VENARD 1 Philippe BIOUX
More informationDevelopment of depletion models for radionuclide inventory, decay heat and source term estimation in discharged fuel
Development of depletion models for radionuclide inventory, decay heat and source term estimation in discharged fuel S. Caruso, A. Shama, M. M. Gutierrez National Cooperative for the Disposal of Radioactive
More informationRadioactive Inventory at the Fukushima NPP
Radioactive Inventory at the Fukushima NPP G. Pretzsch, V. Hannstein, M. Wehrfritz (GRS) Gesellschaft für Anlagen- und Reaktorsicherheit (GRS) mbh Schwertnergasse 1, 50667 Köln, Germany Abstract: The paper
More informationAdvanced Heavy Water Reactor. Amit Thakur Reactor Physics Design Division Bhabha Atomic Research Centre, INDIA
Advanced Heavy Water Reactor Amit Thakur Reactor Physics Design Division Bhabha Atomic Research Centre, INDIA Design objectives of AHWR The Advanced Heavy Water Reactor (AHWR) is a unique reactor designed
More informationSCALE-4 Analysis of Pressurized Water Reactor Critical Configurations: Volume 5 & Anna Unit 1 Cycle 5
North ORNL/TM-12294/V5 SCALE-4 Analysis of Pressurized Water Reactor Critical Configurations: Volume 5 & Anna Unit 1 Cycle 5 S. M. Bowman T. Suto This report has been reproduced directly from the best
More informationRequests on Nuclear Data in the Backend Field through PIE Analysis
Requests on Nuclear Data in the Backend Field through PIE Analysis Yoshihira Ando 1), Yasushi Ohkawachi 2) 1) TOSHIBA Corporation Power System & Services Company Power & Industrial Systems Research & Development
More informationREVIEW OF RESULTS FOR THE OECD/NEA PHASE VII BENCHMARK: STUDY OF SPENT FUEL COMPOSITIONS FOR LONG-TERM DISPOSAL
REVIEW OF RESULTS FOR THE OECD/NEA PHASE VII BENCHMARK: STUDY OF SPENT FUEL COMPOSITIONS FOR LONG-TERM DISPOSAL Georgeta Radulescu John Wagner (presenter) Oak Ridge National Laboratory International Workshop
More informationImprovements of Isotopic Ratios Prediction through Takahama-3 Chemical Assays with the JEFF3.0 Nuclear Data Library
PHYSOR 2004 -The Physics of Fuel Cycles and Advanced Nuclear Systems: Global Developments Chicago, Illinois, April 25-29, 2004, on CD-ROM, American Nuclear Society, Lagrange Park, IL. (2004) Improvements
More informationThe Effect of Burnup on Reactivity for VVER-1000 with MOXGD and UGD Fuel Assemblies Using MCNPX Code
Journal of Nuclear and Particle Physics 2016, 6(3): 61-71 DOI: 10.5923/j.jnpp.20160603.03 The Effect of Burnup on Reactivity for VVER-1000 with MOXGD and UGD Fuel Assemblies Using MCNPX Code Heba K. Louis
More informationNuclear Data Uncertainty Quantification for Applications in Energy, Security, and Isotope Production
Nuclear Data Uncertainty Quantification for Applications in Energy, Security, and Isotope Production I. Gauld M. Williams M. Pigni L. Leal Oak Ridge National Laboratory Reactor and Nuclear Systems Division
More informationPWR AND WWER MOX BENCHMARK CALCULATION BY HELIOS
PWR AND WWER MOX BENCHMARK CALCULATION BY HELIOS Radoslav ZAJAC 1,2), Petr DARILEK 1), Vladimir NECAS 2) 1 VUJE, Inc., Okruzna 5, 918 64 Trnava, Slovakia; zajacr@vuje.sk, darilek@vuje.sk 2 Slovak University
More informationEstimation of Control Rods Worth for WWR-S Research Reactor Using WIMS-D4 and CITATION Codes
Estimation of Control Rods Worth for WWR-S Research Reactor Using WIMS-D4 and CITATION Codes M. S. El-Nagdy 1, M. S. El-Koliel 2, D. H. Daher 1,2 )1( Department of Physics, Faculty of Science, Halwan University,
More information2017 Water Reactor Fuel Performance Meeting September 10 (Sun) ~ 14 (Thu), 2017 Ramada Plaza Jeju Jeju Island, Korea
Neutronic evaluation of thorium-uranium fuel in heavy water research reactor HADI SHAMORADIFAR 1,*, BEHZAD TEIMURI 2, PARVIZ PARVARESH 1, SAEED MOHAMMADI 1 1 Department of Nuclear physics, Payame Noor
More informationFuel cycle studies on minor actinide transmutation in Generation IV fast reactors
Fuel cycle studies on minor actinide transmutation in Generation IV fast reactors M. Halász, M. Szieberth, S. Fehér Budapest University of Technology and Economics, Institute of Nuclear Techniques Contents
More informationACTIVATION ANALYSIS OF DECOMISSIONING OPERATIONS FOR RESEARCH REACTORS
ACTIVATION ANALYSIS OF DECOMISSIONING OPERATIONS FOR RESEARCH REACTORS Hernán G. Meier, Martín Brizuela, Alexis R. A. Maître and Felipe Albornoz INVAP S.E. Comandante Luis Piedra Buena 4950, 8400 San Carlos
More informationCore Physics Second Part How We Calculate LWRs
Core Physics Second Part How We Calculate LWRs Dr. E. E. Pilat MIT NSED CANES Center for Advanced Nuclear Energy Systems Method of Attack Important nuclides Course of calc Point calc(pd + N) ϕ dn/dt N
More informationTHE INTEGRATION OF FAST REACTOR TO THE FUEL CYCLE IN SLOVAKIA
THE INTEGRATION OF FAST REACTOR TO THE FUEL CYCLE IN SLOVAKIA Radoslav ZAJAC, Petr DARILEK VUJE, Inc. Okruzna 5, SK-91864 Trnava, Slovakia Tel: +421 33 599 1316, Fax: +421 33 599 1191, Email: zajacr@vuje.sk,
More informationCiclo combustibile, scorie, accelerator driven system
Ciclo combustibile, scorie, accelerator driven system M. Carta, C. Artioli ENEA Fusione e Fissione Nucleare: stato e prospettive sulle fonti energetiche nucleari per il futuro Layout of the presentation!
More informationLesson 14: Reactivity Variations and Control
Lesson 14: Reactivity Variations and Control Reactivity Variations External, Internal Short-term Variations Reactivity Feedbacks Reactivity Coefficients and Safety Medium-term Variations Xe 135 Poisoning
More informationMONTE CALRLO MODELLING OF VOID COEFFICIENT OF REACTIVITY EXPERIMENT
MONTE CALRLO MODELLING OF VOID COEFFICIENT OF REACTIVITY EXPERIMENT R. KHAN, M. VILLA, H. BÖCK Vienna University of Technology Atominstitute Stadionallee 2, A-1020, Vienna, Austria ABSTRACT The Atominstitute
More informationSUB-CHAPTER D.1. SUMMARY DESCRIPTION
PAGE : 1 / 12 CHAPTER D. REACTOR AND CORE SUB-CHAPTER D.1. SUMMARY DESCRIPTION Chapter D describes the nuclear, hydraulic and thermal characteristics of the reactor, the proposals made at the present stage
More informationThe Effect of 99 Mo Production on the Neutronic Safety Parameters of Research Reactors
The Effect of 99 Mo Production on the Neutronic Safety Parameters of Research Reactors Riham M. Refeat and Heba K. Louis Safety Engineering Department, Nuclear and Radiological Regulation Authority (NRRA),
More informationIncineration of Plutonium in PWR Using Hydride Fuel
Incineration of Plutonium in PWR Using Hydride Fuel Francesco Ganda and Ehud Greenspan University of California, Berkeley ARWIF-2005 Oak-Ridge, TN February 16-18, 2005 Pu transmutation overview Many approaches
More informationIMPACT OF THE FISSION YIELD COVARIANCE DATA IN BURN-UP CALCULATIONS
IMPACT OF THE FISSION YIELD COVARIANCE DATA IN BRN-P CALCLATIONS O. Cabellos, D. Piedra, Carlos J. Diez Department of Nuclear Engineering, niversidad Politécnica de Madrid, Spain E-mail: oscar.cabellos@upm.es
More informationASSESSMENT OF THE EQUILIBRIUM STATE IN REACTOR-BASED PLUTONIUM OR TRANSURANICS MULTI-RECYCLING
ASSESSMENT OF THE EQUILIBRIUM STATE IN REACTOR-BASED PLUTONIUM OR TRANSURANICS MULTI-RECYCLING T.K. Kim, T.A. Taiwo, J.A. Stillman, R.N. Hill and P.J. Finck Argonne National Laboratory, U.S. Abstract An
More informationWorking Party on Pu-MOX fuel physics and innovative fuel cycles (WPPR)
R&D Needs in Nuclear Science 6-8th November, 2002 OECD/NEA, Paris Working Party on Pu-MOX fuel physics and innovative fuel cycles (WPPR) Hideki Takano Japan Atomic Energy Research Institute, Japan Introduction(1)
More informationA New MCNPX PTRAC Coincidence Capture File Capability: A Tool for Neutron Detector Design
Abstract A New MCNPX PTRAC Coincidence Capture File Capability: A Tool for Neutron Detector Design L. G. Evans, M.A. Schear, J. S. Hendricks, M.T. Swinhoe, S.J. Tobin and S. Croft Los Alamos National Laboratory
More informationBURNUP CALCULATION CAPABILITY IN THE PSG2 / SERPENT MONTE CARLO REACTOR PHYSICS CODE
International Conference on Mathematics, Computational Methods & Reactor Physics (M&C 29) Saratoga Springs, New York, May 3-7, 29, on CD-ROM, American Nuclear Society, LaGrange Park, IL (29) BURNUP CALCULATION
More informationCharacteristics of Spent Fuel from Plutonium Disposition Reactors. Vol. 1: The Combustion Engineering System 80+ Pressurized-Water- Reactor Design
ORNL/TM-13170/V1 Characteristics of Spent Fuel from Plutonium Disposition Reactors Vol. 1: The Combustion Engineering System 80+ Pressurized-Water- Reactor Design B. D. Murphy This report has been reproduced
More informationAvailable online at ScienceDirect. Energy Procedia 71 (2015 )
Available online at www.sciencedirect.com ScienceDirect Energy Procedia 71 (2015 ) 97 105 The Fourth International Symposium on Innovative Nuclear Energy Systems, INES-4 High-Safety Fast Reactor Core Concepts
More informationNEUTRON PHYSICAL ANALYSIS OF SIX ENERGETIC FAST REACTORS
NEUTRON PHYSICAL ANALYSIS OF SIX ENERGETIC FAST REACTORS Peter Vertes Hungarian Academy of Sciences, Centre for Energy Research ABSTRACT Numerous fast reactor constructions have been appeared world-wide
More informationDETERMINATION OF THE EQUILIBRIUM COMPOSITION OF CORES WITH CONTINUOUS FUEL FEED AND REMOVAL USING MOCUP
Supercomputing in Nuclear Applications (M&C + SNA 2007) Monterey, California, April 15-19, 2007, on CD-ROM, American Nuclear Society, LaGrange Park, IL (2007) DETERMINATION OF THE EQUILIBRIUM COMPOSITION
More informationDOPPLER COEFFICIENT OF REACTIVITY BENCHMARK CALCULATIONS FOR DIFFERENT ENRICHMENTS OF UO 2
Supercomputing in Nuclear Applications (M&C + SNA 2007) Monterey, California, April 15-19, 2007, on CD-ROM, American Nuclear Society, LaGrange Park, IL (2007) DOPPLER COEFFICIENT OF REACTIVITY BENCHMARK
More informationDetermination of research reactor fuel burnup
Determination of research reactor fuel burnup INTERNATIONAL ATOMIC ENERGY AGENCY January 1992 DETERMINATION OF RESEARCH REACTOR FUEL BURNUP IAEA, VIENNA, 1992 IAEA-TECDOC-633 ISSN 1011-4289 Printed FOREWORD
More informationNeutronic Issues and Ways to Resolve Them. P.A. Fomichenko National Research Center Kurchatov Institute Yu.P. Sukharev JSC Afrikantov OKBM,
GT-MHR Project High-Temperature Reactor Neutronic Issues and Ways to Resolve Them P.A. Fomichenko National Research Center Kurchatov Institute Yu.P. Sukharev JSC Afrikantov OKBM, GT-MHR PROJECT MISSION
More informationPreparation and Testing ORIGEN-ARP Library for VVER Fuel Design
14 Preparation and Testing ORIGEN-ARP Library for VVER Fuel Design Maksym YEREMENKO, Yuriy KOVBASENKO, Yevgen BILODID State Scientific and Technical Centre on Nuclear and Radiation Safety (SSTC NRS), Radgospna
More informationTechnical workshop : Dynamic nuclear fuel cycle
Technical workshop : Dynamic nuclear fuel cycle Reactor description in CLASS Baptiste LENIAU* Institut d Astrophysique de Paris 6-8 July, 2016 Introduction Summary Summary The CLASS package : a brief overview
More informationNew Capabilities for the Chebyshev Rational Approximation method (CRAM)
New Capabilities for the Chebyshev Rational Approximation method (CRAM) A. Isotaloa,b W. Wieselquista M. Pusac aoak Ridge National Laboratory PO Box 2008, Oak Ridge, TN 37831-6172, USA baalto University
More informationCriticality Safety in the Waste Management of Spent Fuel from NPPs
Criticality Safety in the Waste Management of Spent Fuel from NPPs Robert Kilger (GRS) Garching / Forschungszentrum, Boltzmannstr. 14, D-85748 Garching n. Munich Abstract: During irradiation in the reactor
More informationOptimisation of the Nuclear Reactor Neutron Spectrum for the Transmutation of Am 241 and Np 237
Optimisation of the Nuclear Reactor Neutron Spectrum for the Transmutation of Am 241 and Np 237 Sarah M. Don under the direction of Professor Michael J. Driscoll and Bo Feng Nuclear Science and Engineering
More informationComparison of PWR burnup calculations with SCALE 5.0/TRITON other burnup codes and experimental results. Abstract
Comparison of PWR burnup calculations with SCALE 5.0/TRITON other burnup codes and experimental results Ph.Oberle, C.H.M.Broeders, R.Dagan Forschungszentrum Karlsruhe, Institut for Reactor Safety Hermann-von-Helmholtz-Platz-1,
More informationTHORIUM SELF-SUFFICIENT FUEL CYCLE OF CANDU POWER REACTOR
International Conference Nuclear Energy for New Europe 2005 Bled, Slovenia, September 5-8, 2005 ABSTRACT THORIUM SELF-SUFFICIENT FUEL CYCLE OF CANDU POWER REACTOR Boris Bergelson, Alexander Gerasimov Institute
More informationTHE NEXT GENERATION WIMS LATTICE CODE : WIMS9
THE NEXT GENERATION WIMS LATTICE CODE : WIMS9 T D Newton and J L Hutton Serco Assurance Winfrith Technology Centre Dorchester Dorset DT2 8ZE United Kingdom tim.newton@sercoassurance.com ABSTRACT The WIMS8
More informationDocument ID Author Harri Junéll. Version 1.0. Approved by Ulrika Broman Comment Reviewed according to SKBdoc
Public Report Document ID 1433410 Author Harri Junéll Reviewed by Version 1.0 Status Approved Reg no Date 2014-08-27 Reviewed date Page 1 (28) Approved by Ulrika Broman Comment Reviewed according to SKBdoc
More informationWM2015 Conference, March 15 19, 2015, Phoenix, Arizona, USA
On the Influence of the Power Plant Operational History on the Inventory and the Uncertainties of Radionuclides Relevant for the Final Disposal of PWR Spent Fuel 15149 ABSTRACT Ivan Fast *, Holger Tietze-Jaensch
More informationAnalysis of the Neutronic Characteristics of GFR-2400 Fast Reactor Using MCNPX Transport Code
Amr Ibrahim, et al. Arab J. Nucl. Sci. Appl, Vol 51, 1, 177-188 The Egyptian Arab Journal of Nuclear Sciences and Applications (2018) Society of Nuclear Vol 51, 1, (177-188) 2018 Sciences and Applications
More informationActivities of the OECD/ NEA Expert Group on Assay Data for Spent Nuclear Fuel
Activities of the OECD/ NEA Expert Group on Assay Data for Spent Nuclear Fuel International Workshop on Advances in Applications of Burnup Credit 27 October 2009 Ian Gauld Yolanda Rugama Overview Background
More informationA TEMPERATURE DEPENDENT ENDF/B-VI.8 ACE LIBRARY FOR UO2, THO2, ZIRC4, SS AISI-348, H2O, B4C AND AG-IN-CD
2009 International Nuclear Atlantic Conference - INAC 2009 Rio de Janeiro,RJ, Brazil, September27 to October 2, 2009 ASSOCIAÇÃO BRASILEIRA DE ENERGIA NUCLEAR - ABEN ISBN: 978-85-99141-03-8 A TEMPERATURE
More informationREACTOR PHYSICS ASPECTS OF PLUTONIUM RECYCLING IN PWRs
REACTOR PHYSICS ASPECTS OF PLUTONIUM RECYCLING IN s Present address: J.L. Kloosterman Interfaculty Reactor Institute Delft University of Technology Mekelweg 15, NL-2629 JB Delft, the Netherlands Fax: ++31
More informationIAEA-TECDOC Nuclear Fuel Cycle Simulation System (VISTA)
IAEA-TECDOC-1535 Nuclear Fuel Cycle Simulation System (VISTA) February 2007 IAEA-TECDOC-1535 Nuclear Fuel Cycle Simulation System (VISTA) February 2007 The originating Section of this publication in the
More informationSensitivity and Uncertainty Analysis Methodologies for Fast Reactor Physics and Design at JAEA
Sensitivity and Uncertainty Analysis Methodologies for Fast Reactor Physics and Design at JAEA Kick off meeting of NEA Expert Group on Uncertainty Analysis for Criticality Safety Assessment IRSN, France
More informationQuestion to the class: What are the pros, cons, and uncertainties of using nuclear power?
Energy and Society Week 11 Section Handout Section Outline: 1. Rough sketch of nuclear power (15 minutes) 2. Radioactive decay (10 minutes) 3. Nuclear practice problems or a discussion of the appropriate
More informationAn Extension of the Validation of SCALE (SAS2H) Isotopic Predictions for PWR Spent Fuel
ORNL/TM-13317 An Extension of the Validation of SCALE (SAS2H) Isotopic Predictions for PWR Spent Fuel M. D. DeHart O. W. Hermann This report has een reproduced directly from the est availale copy. Availale
More informationMonte Carlo Characterization of PWR Spent Fuel Assemblies to Determine the Detectability of Pin Diversion
Monte Carlo Characterization of PWR Spent Fuel Assemblies to Determine the Detectability of Pin Diversion A dissertation submitted to the Graduate School of the University of Cincinnati in partial fulfillment
More informationMeraj Rahimi, JAI Co. Dale Lancaster, TRW Environmental Safety Systems
@ofif-976607--f Isotopic Biases for Actinide-Only Burnup Credit Meraj Rahimi, JAI Co. Dale Lancaster, TRW Environmental Safety Systems. Bernie Hoeffer, TRW Environmental Safety Systems Marc Nichols, TRW
More informationG. S. Chang. April 17-21, 2005
INEEL/CON-04-02085 PREPRINT MCWO Linking MCNP and ORIGEN2 For Fuel Burnup Analysis G. S. Chang April 17-21, 2005 The Monte Carlo Method: Versatility Unbounded In A Dynamic Computing World This is a preprint
More informationCALCULATION OF TEMPERATURE REACTIVITY COEFFICIENTS IN KRITZ-2 CRITICAL EXPERIMENTS USING WIMS ABSTRACT
CALCULATION OF TEMPERATURE REACTIVITY COEFFICIENTS IN KRITZ-2 CRITICAL EXPERIMENTS USING WIMS D J Powney AEA Technology, Nuclear Science, Winfrith Technology Centre, Dorchester, Dorset DT2 8DH United Kingdom
More informationFundamentals of Nuclear Reactor Physics
Fundamentals of Nuclear Reactor Physics E. E. Lewis Professor of Mechanical Engineering McCormick School of Engineering and Applied Science Northwestern University AMSTERDAM BOSTON HEIDELBERG LONDON NEW
More informationAssessment of the neutron and gamma sources of the spent BWR fuel
October 2000 Assessment of the neutron and gamma sources of the spent BWR fuel Interim report on Task FIN JNT A 101 of the Finnish support programme to IAEA Safeguards Aapo Tanskanen VTT Energy In STUK
More informationNeutron Dose near Spent Nuclear Fuel and HAW after the 2007 ICRP Recommendations
Neutron Dose near Spent Nuclear Fuel and HAW after the 2007 ICRP Recommendations Gunter Pretzsch Gesellschaft fuer Anlagen- und Reaktorsicherheit (GRS) mbh Radiation and Environmental Protection Division
More informationReactivity Coefficients
Reactivity Coefficients B. Rouben McMaster University Course EP 4D03/6D03 Nuclear Reactor Analysis (Reactor Physics) 2015 Sept.-Dec. 2015 September 1 Reactivity Changes In studying kinetics, we have seen
More informationLecture 27 Reactor Kinetics-III
Objectives In this lecture you will learn the following In this lecture we will understand some general concepts on control. We will learn about reactivity coefficients and their general nature. Finally,
More informationIdaho National Laboratory Reactor Analysis Applications of the Serpent Lattice Physics Code
Idaho National Laboratory Reactor Analysis Applications of the Serpent Lattice Physics Code By Frederick N. Gleicher II, Javier Ortensi, Benjamin Baker, and Mark DeHart Outline Intra-Pin Power and Flux
More informationRecycling Spent Nuclear Fuel Option for Nuclear Sustainability and more proliferation resistance In FBR
Recycling Spent Nuclear Fuel Option for Nuclear Sustainability and more proliferation resistance In FBR SIDIK PERMANA a, DWI IRWANTO a, MITSUTOSHI SUZUKI b, MASAKI SAITO c, ZAKI SUUD a a Nuclear Physics
More informationMA/LLFP Transmutation Experiment Options in the Future Monju Core
MA/LLFP Transmutation Experiment Options in the Future Monju Core Akihiro KITANO 1, Hiroshi NISHI 1*, Junichi ISHIBASHI 1 and Mitsuaki YAMAOKA 2 1 International Cooperation and Technology Development Center,
More informationA Hybrid Deterministic / Stochastic Calculation Model for Transient Analysis
A Hybrid Deterministic / Stochastic Calculation Model for Transient Analysis A. Aures 1,2, A. Pautz 2, K. Velkov 1, W. Zwermann 1 1 Gesellschaft für Anlagen- und Reaktorsicherheit (GRS) ggmbh Boltzmannstraße
More informationObservables of interest for the characterisation of Spent Nuclear Fuel
Observables of interest for the characterisation of Spent Nuclear Fuel Gašper Žerovnik Peter Schillebeeckx Kevin Govers Alessandro Borella Dušan Ćalić Luca Fiorito Bor Kos Alexey Stankovskiy Gert Van den
More informationThe Lead-Based VENUS-F Facility: Status of the FREYA Project
EPJ Web of Conferences 106, 06004 (2016) DOI: 10.1051/epjconf/201610606004 C Owned by the authors, published by EDP Sciences, 2016 The Lead-Based VENUS-F Facility: Status of the FREYA Project Anatoly Kochetkov
More informationCalculation of Spatial Weighting Functions for Ex-Core Detectors of VVER-440 Reactors by Monte Carlo Method
International Conference Nuclear Energy for New Europe 2003 Portorož, Slovenia, September 8-11, 2003 http://www.drustvo-js.si/port2003 Calculation of Spatial Weighting Functions for Ex-Core Detectors of
More informationChallenges in Prismatic HTR Reactor Physics
Challenges in Prismatic HTR Reactor Physics Javier Ortensi R&D Scientist - Idaho National Laboratory www.inl.gov Advanced Reactor Concepts Workshop, PHYSOR 2012 April 15, 2012 Outline HTR reactor physics
More informationTRANSMUTATION OF CESIUM-135 WITH FAST REACTORS
TRANSMUTATION OF CESIUM-3 WITH FAST REACTORS Shigeo Ohki and Naoyuki Takaki O-arai Engineering Center Japan Nuclear Cycle Development Institute (JNC) 42, Narita-cho, O-arai-machi, Higashi-Ibaraki-gun,
More informationEffect of WIMSD4 libraries on Bushehr VVER-1000 Core Fuel Burn-up
International Conference Nuccllearr Enerrgy fforr New Eurrope 2009 Bled / Slovenia / September 14-17 ABSTRACT Effect of WIMSD4 libraries on Bushehr VVER-1000 Core Fuel Burn-up Ali Pazirandeh and Elham
More information(1) SCK CEN, Boeretang 200, B-2400 Mol, Belgium (2) Belgonucléaire, Av. Arianelaan 4, B-1200 Brussels, Belgium
The REBUS Experimental Programme for Burn-up Credit Peter Baeten (1)*, Pierre D'hondt (1), Leo Sannen (1), Daniel Marloye (2), Benoit Lance (2), Alfred Renard (2), Jacques Basselier (2) (1) SCK CEN, Boeretang
More informationTarget accuracy of MA nuclear data and progress in validation by post irradiation experiments with the fast reactor JOYO
Target accuracy of MA nuclear data and progress in validation by post irradiation experiments with the fast reactor JOYO Shigeo OHKI, Kenji YOKOYAMA, Kazuyuki NUMATA *, and Tomoyuki JIN * Oarai Engineering
More informationAvailable online at ScienceDirect. Energy Procedia 71 (2015 ) 52 61
Available online at www.sciencedirect.com ScienceDirect Energy Procedia 71 (2015 ) 52 61 The Fourth International Symposium on Innovative Nuclear Energy Systems, INES-4 Reactor physics and thermal hydraulic
More informationLectures on Applied Reactor Technology and Nuclear Power Safety. Lecture No 5. Title: Reactor Kinetics and Reactor Operation
Lectures on Nuclear Power Safety Lecture No 5 Title: Reactor Kinetics and Reactor Operation Department of Energy Technology KTH Spring 2005 Slide No 1 Outline of the Lecture (1) Reactor Kinetics Reactor
More information3.12 Development of Burn-up Calculation System for Fusion-Fission Hybrid Reactor
3.12 Development of Burn-up Calculation System for Fusion-Fission Hybrid Reactor M. Matsunaka, S. Shido, K. Kondo, H. Miyamaru, I. Murata Division of Electrical, Electronic and Information Engineering,
More informationKr-85m activity as burnup measurement indicator in a pebble bed reactor based on ORIGEN2.1 Computer Simulation
Journal of Physics: Conference Series PAPER OPEN ACCESS Kr-85m activity as burnup measurement indicator in a pebble bed reactor based on ORIGEN2.1 Computer Simulation To cite this article: I Husnayani
More informationWM2010 Conference, March 7-11, 2010, Phoenix, AZ
Nondestructive Determination of Plutonium Mass in Spent Fuel: Preliminary Modeling Results using the Passive Neutron Albedo Reactivity Technique - 10413 L. G. Evans, S. J. Tobin, M. A. Schear, H. O. Menlove,
More informationMCNP CALCULATION OF NEUTRON SHIELDING FOR RBMK-1500 SPENT NUCLEAR FUEL CONTAINERS SAFETY ASSESMENT
MCNP CALCULATION OF NEUTRON SHIELDING FOR RBMK-15 SPENT NUCLEAR FUEL CONTAINERS SAFETY ASSESMENT R. Plukienė 1), A. Plukis 1), V. Remeikis 1) and D. Ridikas 2) 1) Institute of Physics, Savanorių 231, LT-23
More informationError Estimation for ADS Nuclear Properties by using Nuclear Data Covariances
Error Estimation for ADS Nuclear Properties by using Nuclear Data Covariances Kasufumi TSUJIMOTO Center for Proton Accelerator Facilities, Japan Atomic Energy Research Institute Tokai-mura, Naka-gun, Ibaraki-ken
More informationVALIDATION OF VISWAM SQUARE LATTICE MODULE WITH MOX PIN CELL BENCHMARK
U.P.B. Sci. Bull., Series C, Vol. 77, Iss. 4, 2015 ISSN 2286-3540 VALIDATION OF VISWAM SQUARE LATTICE MODULE WITH MOX PIN CELL BENCHMARK Arvind MATHUR 1, Suhail Ahmad KHAN 2, V. JAGANNATHAN 3, L. THILAGAM
More informationEvaluation of Radiation Characteristics of Spent RBMK-1500 Nuclear Fuel Storage Casks during Very Long Term Storage
SESSION 7: Research and Development Required to Deliver an Integrated Approach Evaluation of Radiation Characteristics of Spent RBMK-1500 Nuclear Fuel Storage Casks during Very Long Term Storage A. Šmaižys,
More informationNeutronic analysis of SFR lattices: Serpent vs. HELIOS-2
Neutronic analysis of SFR lattices: Serpent vs. HELIOS-2 E. Fridman 1, R. Rachamin 1, C. Wemple 2 1 Helmholtz Zentrum Dresden Rossendorf 2 Studsvik Scandpower Inc. Text optional: Institutsname Prof. Dr.
More informationPresent Status of JEFF-3.1 Qualification for LWR. Reactivity and Fuel Inventory Prediction
Present Status of JEFF-3.1 Qualification for LWR Reactivity and Fuel Inventory Prediction Experimental Validation Group (CEA Cadarache/Saclay) D. BERNARD david.bernard@cea.fr A. COURCELLE arnaud.courcelle@cea.fr
More informationUse of Burn-Up Credit in the Assessment of Criticality Risk
Use of Burn-Up Credit in the Assessment of Criticality Risk Date: 31 st August 2017 Author(s): D Hanlon, S Richards, T Ware, B Lindley, J Porter & M Brady Raap Client Reference: Amec Foster Wheeler Reference:
More informationVERIFICATION OFENDF/B-VII.0, ENDF/B-VII.1 AND JENDL-4.0 NUCLEAR DATA LIBRARIES FOR CRITICALITY CALCULATIONS USING NEA/NSC BENCHMARKS
VERIFICATION OFENDF/B-VII.0, ENDF/B-VII.1 AND JENDL-4.0 NUCLEAR DATA LIBRARIES FOR CRITICALITY CALCULATIONS USING NEA/NSC BENCHMARKS Amine Bouhaddane 1, Gabriel Farkas 1, Ján Haščík 1, Vladimír Slugeň
More informationUSA HTR NEUTRONIC CHARACTERIZATION OF THE SAFARI-1 MATERIAL TESTING REACTOR
Proceedings of HTR2008 4 th International Topical Meeting on High Temperature Reactors September 28-October 1, 2008, Washington, D.C, USA HTR2008-58155 NEUTRONIC CHARACTERIZATION OF THE SAFARI-1 MATERIAL
More informationStudy on Nuclear Transmutation of Nuclear Waste by 14 MeV Neutrons )
Study on Nuclear Transmutation of Nuclear Waste by 14 MeV Neutrons ) Takanori KITADA, Atsuki UMEMURA and Kohei TAKAHASHI Osaka University, Graduate School of Engineering, Division of Sustainable Energy
More informationThe Use of Self-Induced XRF to Quantify the Pu Content in PWR Spent Nuclear Fuel
The Use of Self-Induced XRF to Quantify the Pu Content in PWR Spent Nuclear Fuel William S. Charlton, Daniel Strohmeyer, Alissa Stafford Texas A&M University, College Station, TX 77843-3133 USA Steve Saavedra
More informationAssessment of the MCNP-ACAB code system for burnup credit analyses
Assessment of the MCNP-ACAB code system for burnup credit analyses N. García-Herranz, O. Cabellos, J. Sanz UPM - UNED International Workshop on Advances in Applications of Burnup Credit for Spent Fuel
More informationNumerical analysis on element creation by nuclear transmutation of fission products
NUCLEAR SCIENCE AND TECHNIQUES 26, S10311 (2015) Numerical analysis on element creation by nuclear transmutation of fission products Atsunori Terashima 1, and Masaki Ozawa 2 1 Department of Nuclear Engineering,
More informationORNL/TM-2002/118 Plutonium Production Using Natural Uranium From the Front-End of the Nuclear Fuel Cycle
ORNL/TM-2002/118 Plutonium Production Using Natural Uranium From the Front-End of the Nuclear Fuel Cycle C. V. Parks B. D. Murphy L. M. Petrie C. M. Hopper DOCUMENT AVAILABILITY Reports produced after
More information