Burnup calculation of the OECD VVER-1000 LEU benchmark assembly using MCNP6 and SRAC2006

Nuclear Science and Technology, Vol.8, No. 4 (2018), pp. 10-19  
Burnup calculation of the OECD VVER-1000 LEU benchmark  
assembly using MCNP6 and SRAC2006  
Nguyen Huu Tiep*, Nguyen Thi Dung, Tran Viet Phu, Tran Vinh Thanh and Pham Nhu Viet Ha  
Institute for Nuclear Science and Technology, Vietnam Atomic Energy Institute  
179 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam  
(Received 16 November 2018, accepted 28 November 2018)  
Abstract: The present work aims to perform burnup calculation of the OECD VVER-1000 LEU (low  
enriched uranium) computational benchmark assembly using the Monte Carlo code MCNP6 and the  
deterministic code SRAC2006. The new depletion capability of MCNP6 was applied in the burnup  
calculation of the VVER-1000 LEU benchmark assembly. The OTF (on-the-fly) methodology of  
MCNP6, which involves high precision fitting of Doppler broadened cross sections over a wide  
temperature range, was utilized to handle temperature variation for heavy isotopes. The collision  
probability method based PIJ module of SRAC2006 was also used in this burnup calculation. The  
reactivity of the fuel assembly, the isotopic concentrations and the shielding effect due to the presence  
of the gadolinium isotopes were determined with burnup using MCNP6 and SRAC2006 in  
comparison with the available published benchmark data. This study is therefore expected to reveal  
the capabilities of MCNP6 and SRAC2006 in burnup calculation of VVER-1000 fuel assemblies.  
Keywords: VVER-1000 LEU fuel assembly, fuel burnup, MCNP6, SRAC2006.  
configurations. In this regard, the Experts  
Group has carried out a benchmarking effort  
called the OECD VVER-1000 LEU (low  
enriched uranium) and MOX assembly  
computational benchmark for verification of  
the Russian calculation codes and methods in  
support for the WG plutonium disposition  
mission [1]. The benchmark consists of two  
different hexagonal fuel assemblies: a uniform  
LEU fuel assembly with 12 UGD (uranium-  
gadolinium) rods and a profiled MOX fuel  
assembly with 12 UGD rods. These two  
assemblies are representative of the advanced  
designs under active R&D in Russia for  
VVER-1000 reactors and similar to the  
designs that are expected to be used in the  
plutonium disposition mission. Various  
solutions of the benchmark are reported in the  
I. INTRODUCTION  
The United States and Russian  
Federation, under a mutual agreement, have  
been working towards the final disposition of  
weapons-grade (WG) surplus plutonium in  
each country as mixed-oxide (MOX) fuel in  
existing commercial nuclear reactors. To  
support this mission, the OECD/NEA  
established an international Experts Group to  
facilitate the sharing of existing information  
and experience and to deal with the physics  
and fuel behavior of MOX fuel as it relates to  
the WG plutonium disposition. Recent work  
in Russia, where WG MOX fuel will be used  
in both fast reactor (BN-600) and light water  
reactors (VVER-1000), has focused on the  
certification of the calculation codes and the  
design of MOX fuel assemblies and core  
©2018 Vietnam Atomic Energy Society and Vietnam Atomic Energy Institute  
NGUYEN HUU TIEP et al.  
literature and they are based on different  
methodology for MCNP, which involves  
high precision fitting of Doppler broadened  
cross sections over a wide temperature  
range, will be utilized to handle temperature  
variation for heavy isotopes [14]. In  
addition, the collision probability method  
based PIJ module of SRAC2006 will also be  
utilized in the burnup calculation of the  
VVER-1000 LEU assembly. The ENDF/B-  
VII.0 nuclear data library will be used in the  
MCNP6 and SRAC2006 calculations,  
respectively. This study is therefore  
expected to reveal the capabilities of  
MCNP6 and SRAC2006 in burnup  
calculation of VVER-1000 fuel assemblies.  
calculation codes and nuclear data libraries  
[1-7]. Most of these solutions have been  
obtained by means of collision probability or  
similar methodologies, while few of them are  
based on Monte Carlo methods.  
In  
Vietnam,  
the  
reactor  
fuel  
management in general and fuel burnup  
calculation in particular have been studied for  
years, especially for the Dalat Nuclear  
Research Reactor (DNRR) [8-10]. While a  
huge experience with the fuel burnup  
calculation of the DNRR has been  
accumulated over 30 years, there are only few  
publications related to fuel burnup calculation  
for power reactors like VVER-1000. In 2016,  
Hiep et al. [11] developed an MCNP5-  
ORIGEN coupling scheme for burnup  
calculation of VVER-1000 fuel assemblies.  
The coupling scheme was verified against the  
II. CALCULATION METHODOLOGY  
The VVER-1000 LEU benchmark  
hexagonal assembly consists of 300 fuel pin  
cells with 3.7 wt% 235U, 12 UGD (Uranium-  
Gadolinium) pin cells with 3.6 wt% 235U and  
4 wt% Gd2O3, 18 water filled guide tubes for  
control rod insertion and one central water  
filled instrumentation tube. The configuration  
and main design parameters of the VVER-  
1000 LEU fuel assembly are shown in Fig. 1  
OECD  
VVER-1000  
LEU  
benchmark  
assembly [1]. However, the predictor-  
corrector method has not yet been applied in  
the scheme and this can result in potential  
errors during the burnup calculation.  
Additionally, only the cross sections for 24  
actinides and 61 fission products were used in  
this verification due to the unavailability of  
many MCNP5 cross sections.  
and Table  
I,  
respectively.  
Detailed  
information of material composition and  
geometry of fuel pins, cladding, moderator,  
UGD pins, central and guide tubes, etc. can be  
easily found in Ref. [1]. The cell numeration  
of the one-sixth of the fuel assembly for  
simulating different isotopic compositions is  
illustrated in Fig. 2.  
The present work aims at performing  
a comparative burnup analysis of the OECD  
VVER-1000 LEU computational benchmark  
assembly using the Monte Carlo code  
MCNP6 [12] and the deterministic code  
SRAC2006 [13]. The new depletion  
capability of MCNP6 will be applied in the  
burnup calculation for the VVER-1000 LEU  
The burnup calculation for the VVER-  
1000 LEU benchmark assembly under the  
hot operating poisoned condition (the S1  
state) will be performed using MCNP6 and  
assembly.  
The  
On-The-Fly  
(OTF)  
11  
BURNUP CALCULATION OF THE OECD VVER-1000 LEU BENCHMARK ASSEMBLY…  
SRAC2006. Under this condition, the fuel  
temperature is 1027 K and the moderator  
temperature is 575 K with equilibrium 135Xe  
and 149Sm concentrations and a power  
density of 108 MWt/m3 up to a burnup 40  
MWd/kgHM. In the MCNP6 and SRAC  
calculations, the UGD rods are divided into 5  
annuli of equal area as required in the  
benchmark document [1] in order to account  
for the shielding effect due to the gadolinium  
isotopes. This allows the calculation of  
nuclide concentrations as a function of the  
radial position in the UGD rods.  
However, the default nuclear data  
in MCNP6 are given at certain  
temperatures for heavy isotopes (293.6,  
600, 900, 1200 and 2500K); while the  
fuel temperature of 1027K is needed in  
this calculation. There are various  
methods to cope with such kind of  
temperature dependence [14]. One of the  
suitable methods for MCNP6 is the OTF  
methodology for fitting of Doppler  
broadened cross sections and this method  
was applied in this study. The OTF data  
for heavy isotopes in the VVER-1000  
LEU  
benchmark  
assembly  
that  
In the MCNP6 simulation, the  
statistical error of ~30 pcm was obtained as  
the neutron history of 5x106 for parallel  
depletion calculation was selected and the  
burnup calculation was performed with 160  
steps of 0.25 MWd/kgHM. MCNP6 includes  
the new depletion capability that links steady  
state flux calculations in MCNP6 and nuclide  
depletion calculations in CINDER90. A  
steady state flux calculation is run in MCNP6  
to determine the system eigenvalue, group  
fluxes, energy integrated reaction rates,  
fission multiplicity, and recoverable energy  
per fission. CINDER90 then uses these  
values generated by MCNP6 to perform  
depletion calculation to generate new number  
densities for the next time step. MCNP6  
takes the new number densities generated by  
CINDER90 for the next steady state flux  
calculation. This linked process is repeated  
until the end of the final time step. It is noted  
that CINDER90 contains transmutation data  
information for over 3400 isotopes, 1325  
fission products, yield set for 30 actinides.  
correspond to the temperature range of  
293.6 to 1200 K were created from the  
ENDF/B-VII.0 library at the temperature  
of 293.6 K.  
The PIJ module with its cell burnup  
routine of the SRAC2006 code system was  
also utilized for the burnup calculation of  
the VVER-1000 LEU benchmark assembly.  
The PIJ module that is based on the  
collision probability method was used for  
lattice cell calculations. The cell burnup  
routine used one-group collapsed flux  
distribution and the collapsed microscopic  
cross sections to solve the depletion  
equation using the Bateman’s method. The  
burnup calculation using the cell burnup  
routine of the PIJ module was performed  
with 40 steps of 0.25 MWd/kgHM followed  
by 5 steps of 1.0 MWd/kgHM and 10 steps  
of 2.5 MWd/kgHM. The 107 neutron energy  
groups based on the ENDF/B-VII.0 library  
were collapsed to four groups for use in the  
SRAC2006 calculations.  
12  
NGUYEN HUU TIEP et al.  
Fig. 1. VVER-1000 LEU benchmark assembly configuration  
Fig. 2. Cell numeration in the one-sixth of VVER-1000 LEU benchmark assembly  
Table I. Main design parameters of VVER-1000 LEU benchmark assembly.  
Parameter  
Value  
300  
Number of UO2 fuel cells  
Number of fuel cells with Gd  
Number of guide tubes  
Number of central tubes  
Fuel cell inner radius, cm  
Fuel cell outer radius, cm  
12  
18  
1
0.3860  
0.4582  
13  
BURNUP CALCULATION OF THE OECD VVER-1000 LEU BENCHMARK ASSEMBLY…  
Central tube cell inner radius, cm  
Central tube cell outer radius, cm  
Pin pitch, cm  
0.5450  
0.6323  
1.2750  
23.6  
Fuel assembly pitch, cm  
235U enrichment, wt%  
3.7  
Gd2O3 density, g/cm3  
7.4  
increases with burnup at the beginning of  
the cycle thanks to the use of Gd2O3 in the  
UGD pins for excess reactivity control. As  
the gadolinium isotopes burn out, the  
reactivity starts to decrease with burnup in  
a nearly linear manner due to the effect of  
fissile material depletion and neutron  
absorber accumulation. It was also seen  
that the effect on reactivity of the  
gadolinium burnable absorber and the time  
at which the reactivity starts to decrease  
can be well simulated by MCNP6 and  
SRAC2006.  
III. RESULTS AND DISCUSSION  
A. Infinite multiplication factor versus  
burnup  
The infinite multiplication factor (k-  
inf) of the VVER-1000 LEU benchmark  
assembly as a function of burnup was  
calculated using MCNP6 and SRAC2006. It  
was found that the k-inf results obtained  
with MCNP6 and SRAC2006 compare well  
with the benchmark mean (BM) values as  
shown in Fig. 3. The k-inf values calculated  
with MCNP6 and SRAC2006 were slightly  
different from the BM values at the first  
burnup steps and such difference became  
B. Concentration of isotopes versus burnup  
significantly  
bigger  
after  
about  
5
The variation of the concentration  
of the nuclides 235U, 236U, 238U, 239Pu,  
240Pu, 241Pu, 242Pu, 135Xe, 149Sm, 155Gd,  
157Gd in Cell 1 and Cell 24 (see Fig. 2) as  
a function of burnup was calculated using  
MCNP6 and SRAC2006 in comparison  
with the BM values as shown in Figs. 4  
and 5. It can be seen that the isotopic  
concentrations calculated by MCNP6 and  
SRAC2006 generally agree well with the  
BM values. The maximum deviations of  
the MCNP6 and SRAC2006 results with  
the BM values for Cell 1 are -7.93% for  
149Sm and 7.29% for 239Pu at the end of  
MWd/kgHM. After the gadolinium burns  
out, the k-inf value calculated by  
SRAC2006 and the BM value tend to  
approach to each other and their differences  
with that calculated by MCNP6 become  
roughly stable. The maximum differences in  
the k-inf calculated with MCNP6 and  
SRAC2006 with the BM values are 413 pcm  
and 352 pcm, respectively; whereas those  
for MCU, TVS-M, WIMS8A, HELIOS,  
MULTICELL [1], and MCNP5-ORIGEN  
[11] are 440, 400, 460, 260, 360, and 585  
pcm, respectively.  
the  
burnup  
(40  
MWd/kgHM),  
As can be seen in Fig. 3, the  
respectively.  
reactivity of the fuel assembly slightly  
14  
NGUYEN HUU TIEP et al.  
Fig. 3. Variation of k-inf of VVER-1000 LEU benchmark assembly versus burnup  
As can be seen in Fig. 5, the burnable  
absorbers 155Gd and 157Gd deplete quickly at  
the beginning burnup steps and such quick  
depletion can be simulated by both MCNP6  
and SRAC2006. In particular, 157Gd depletes  
faster than 155Gd because of its larger thermal  
neutron absorption cross section (Gd-155σa   
60,801 barn and Gd-157σa   253,939 barn at  
E=0.0253 eV). The maximum deviations of the  
MCNP6 and SRAC2006 results with the BM  
values are -53.1% and 65.14% for 157Gd at 7  
MWd/kgHM, respectively. Those maximum  
deviations are 24.13%, 14.98%, 25.62%,  
3.06% and 61.67% for MCU, TVS-M,  
WIMS8A, HELIOS and MULTICELL,  
respectively. The discrepancies of 157Gd was  
large at the first burnup values, because 157Gd  
burns out quickly in the first burnup steps and  
its concentration becomes very small, leading  
to a large uncertainty in the calculation results.  
Fig. 4. Concentration of isotopes in Cell 1 as a function of burnup  
15  
BURNUP CALCULATION OF THE OECD VVER-1000 LEU BENCHMARK ASSEMBLY…  
Fig. 5. Concentration of isotopes in Cell 24 as a function of burnup  
section as mentioned above and thus it burns  
most in the outer zone, where the thermal  
neutron flux is highest. Consequently, the  
concentration of 157Gd at the outer zone is  
very small as compared to the inner zones,  
leading to a large statistical error.  
C. Radial isotopic concentration in UGD rod  
To investigate the variation of the  
isotopic composition in the radial direction  
of the UGD rod, Cell 24 was divided in to 5  
regions to account for the shielding effect  
due to the gadolinium isotopes. The  
concentrations of 235U, 239Pu at 40  
MWd/kgHM and 155Gd và 157Gd at 2  
MWd/kgHM were calculated using MCNP6  
and SRAC2006 and compared with the BM  
values as shown in Table II. It can be seen  
that the 235U, 239Pu, and 155Gd concentrations  
versus radius calculated by MCNP6 were in  
good agreement with the BM values within  
6.35%. However, the difference in the 157Gd  
concentration calculated by MCNP6 and the  
BM values was as high as -32.45% at the  
outer zone. It is because that 157Gd has very  
large thermal neutron absorption cross  
The  
235U,  
155Gd  
and  
157Gd  
concentrations calculated by SRAC2006  
generally agreed well with the BM values.  
However, the 239Pu concentration calculated  
by SRAC2006 showed a big difference with  
the BM value for the radial fuel zone 4 of -  
24.36% as can be seen in Table II. The  
reason might be mainly due to the using of  
only four neutron energy groups for the  
lattice cell calculations with the PIJ module  
in which the spatial self-shielding effect of  
238U or any other resonant nuclide could not  
be properly taken into account.  
Table II. Isotopic composition in Cell 24 vs radius, atoms/barn*cm  
U-235 concentration vs radius in Cell 24 at 40 MWd/kgHM  
Fuel zone number  
Radius, cm  
1
2
3
4
5
0.173  
0.244  
0.299  
0.345  
0.386  
16  
NGUYEN HUU TIEP et al.  
BM  
2.193E-04  
2.135E-04  
2.277E-04  
-2.64  
2.126E-04  
2.094E-04  
2.203E-04  
-1.51  
2.053E-04  
1.998E-04  
2.116E-04  
-2.68  
1.975E-04  
1.942E-04  
2.015E-04  
-1.67  
1.879E-04  
1.818E-04  
1.889E-04  
-3.25  
MCNP6  
SRAC  
Discrepancy, % (MCNP6-BM)/BM  
Discrepancy, % (SRAC-BM)/BM  
3.85  
3.62  
3.08  
2.00  
0.56  
Pu-239 concentration vs radius in Cell 24 at 40 MWd/kgHM  
Fuel zone number  
1
2
3
4
5
Radius, cm  
0.173  
0.244  
0.299  
0.345  
0.386  
BM  
1.083E-04  
1.065E-04  
9.847E-05  
-1.66  
1.107E-04  
1.092E-04  
9.778E-05  
-1.36  
1.159E-04  
1.139E-04  
9.699E-05  
-1.73  
1.273E-04  
1.245E-04  
9.629E-05  
-2.20  
1.978E-04  
1.967E-04  
2.083E-04  
-0.56  
MCNP6  
SRAC  
Discrepancy, % (MCNP6-BM)/BM  
Discrepancy, % (SRAC-BM)/BM  
-9.07  
-11.67  
-16.31  
-24.36  
5.29  
Gd-155 concentration vs radius in Cell 24 at 2 MWd/kgHM  
Fuel zone number  
1
2
3
4
5
Radius, cm  
0.173  
0.244  
0.299  
0.345  
0.386  
BM  
1.676E-04  
1.676E-04  
1.704E-04  
0.00  
1.636E-04  
1.632E-04  
1.665E-04  
-0.24  
1.551E-04  
1.530E-04  
1.580E-04  
-1.35  
1.333E-04  
1.284E-04  
1.366E-04  
-3.68  
8.407E-05  
7.873E-05  
8.536E-05  
-6.35  
MCNP6  
SRAC  
Discrepancy, % (MCNP6-BM)/BM  
Discrepancy, % (SRAC-BM)/BM  
1.67  
1.80  
1.86  
2.44  
1.54  
Gd-157 concentration vs radius in Cell 24 at 2 MWd/kgHM  
Fuel zone number  
1
2
3
4
5
Radius, cm  
0.173  
0.244  
0.299  
0.345  
0.386  
BM  
1.502E-04  
1.489E-04  
1.519E-04  
-0.87  
1.353E-04  
1.328E-04  
1.373E-04  
-1.85  
1.074E-04  
1.003E-04  
1.087E-04  
-6.61  
5.624E-05  
4.674E-05  
5.716E-05  
-16.89  
8.722E-06  
5.892E-06  
7.697E-06  
-32.45  
MCNP6  
SRAC  
Discrepancy, % (MCNP6-BM)/BM  
Discrepancy, % (SRAC-BM)/BM  
1.15  
1.51  
1.20  
1.64  
-11.75  
collision probability method based PIJ  
module of SRAC2006 was also utilized in  
this benchmarking calculation. The reactivity  
of the fuel assembly and the concentration of  
isotopes versus burnup obtained with  
MCNP6 and SRAC2006 generally show a  
good agreement with the BM values. The  
maximum difference in the k-inf calculated  
by MCNP6 and SRAC2006 with the BM  
values was 413 pcm and 352 pcm,  
IV. CONCLUSIONS  
A comparative burnup analysis of the  
OECD VVER-1000 LEU benchmark  
assembly was performed in this study using  
the Monte Carlo code MCNP6 and the  
deterministic code SRAC2006. The new  
depletion capability of MCNP6 and the OTF  
methodology for MCNP were applied in the  
the MCNP6 calculations; whereas the  
17  
BURNUP CALCULATION OF THE OECD VVER-1000 LEU BENCHMARK ASSEMBLY…  
[3]. N. Petrov, G. Todorova, N. P. Kolev, “APOLLO2  
and TRIPOLI4 solutions of the OECD VVER-  
1000 LEU and MOX assembly benchmark”,  
Annals of Nuclear Energy 55 (2013) 93–107.  
respectively; while at the end of burnup  
(40 MWd/kgHM) the deviations in the  
nuclide concentrations calculated by  
MCNP6 and SRAC2006 with the BM  
values were generally within -7.93%. It  
was also found that the effect on the  
reactivity of the gadolinium burnable  
absorber and the depletion of the 155Gd  
and 157Gd isotopes at the beginning of the  
fuel cycle can be well simulated using  
MCNP6 and SRAC2006.  
[4]. M. Zheng, W. Tian, H. Wei, D. Zhang, Y. Wu,  
S. Qiu, G. Su, “Development of a MCNP–  
ORIGEN burn-up calculation code system and  
its accuracy assessment”, Annals of Nuclear  
Energy 63 (2014) 491–498.  
[5]. L. Mercatali, A. Venturini, M. Daeubler, V. H.  
Sanchez, “SCALE and SERPENT solutions of  
the OECD VVER-1000 LEU and MOX  
burnup computational benchmark”, Annals of  
Nuclear Energy, 83 (2015) 328-341.  
The isotopic composition variation of  
nuclides 235U, 239Pu, 155Gd and 157Gd as a  
function of radii of annular regions of the UGD  
rod was also calculated with MCNP6 and  
SRAC2006 and compared with the BM results.  
They were found to be generally in good  
agreement; however, the SRAC2006 results  
showed a large discrepancy with the BM  
values for the 239Pu concentration that might be  
mainly due to the using of only four neutron  
energy groups in the SRAC2006 calculations.  
Consequently, it is highly recommended that  
MCNP6 and SRAC2006 can be used for  
burnup calculation of VVER-1000 fuel  
assemblies. Further investigation of the burnup  
calculation using MCNP6 and SRAC2006 at  
the full core level and MOX core of the  
VVER-1000 reactor is being planned.  
[6]. H. K. Louis, E. Amin, “The 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.  
[7]. S. A. Khan, V. Jagannathan, U. Kannan, A.  
Mathur, “Study of VVER-1000 OECD LEU  
and MOX computational benchmark with  
VISWAM code system”, Nuclear Energy and  
Technology 2 (2016) 312-334.  
[8]. L. B. Vien, L. V. Vinh, H. T. Nghiem, N. K.  
Cuong, “Design analyses for full core  
conversion of the Dalat nuclear research  
reactor”, Nuclear Science and Technology, Vol.  
4, No. 1, p.10-25, March 2014.  
[9]. N. N. Dien, L. B. Vien, L. V. Vinh, H. T.  
Nghiem, N. K. Cuong, “Full core conversion  
and operational experience with LEU fuel of  
the Dalat nuclear research reactor”, RERTR  
2014 - 35th International Meeting on Reduced  
Enrichment for Research and Test Reactors,  
IAEA Vienna Interational Center, Vienna,  
Austria, October 2014.  
REFERENCE  
[1]. M. Kalugin, et al., A VVER-1000 LEU and  
MOX Assembly Computational Benchmark,  
Nuclear Energy Agency, NEA/NSC/DOC 10,  
2002.  
[2]. L. Thilagam, C. S. Sunny, V. Jagannathan, K.  
V. Subbaiah, “A VVER-1000 LEU and MOX  
assembly computational benchmark analysis  
using the lattice burnup code EXCEL”, Annals  
of Nuclear Energy 36 (2009) 505-519.  
[10].N. K. Cuong, H. T. Nghiem, V. H. Tan, “The  
Development of depletion program coupled  
with Monte Carlo computer code”, The 11th  
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[13].K. Okumura, T. Kugo, K. Kaneko, and K.  
Tsuchihashi, SRAC2006: A Comprehensive  
Neutronics Calculation Code System, JAEA-  
Data/Code 2007-004, 2007.  
Technology, Da Nang,Vietnam, August 2015.  
[11].N. H. Hiep, N. H. Tiep, T. V. Phu, N. T. Khai,  
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[14]. F. Brown, W. Martin, G. Yesilyurt, S.  
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19  
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