Comparative Analysis of Reactivity Calculations for the CERMET Fueled ADS with Serpent and MCNP6 Codes

The transuranic elements (TRUs) in the spent fuel dominate the decay heat load to the repository

and cumulative long-term radiotoxicity to the environment. This will be a drawback to be considered in

countries which plan to apply nuclear installation. In order to reduce the burden for disposal and the

storage of spent nuclear fuel and its cumulative radiotoxicity to the environment, separation and

transmutation of the plutonium and minor actinide in the used fuel are essential. ADS (accelerator driven

system) is recognized as a promising system to annihilate the radioactivity of nuclear waste with its

inherent safety feature and waste transmutation potential. Feasible studies have been done to investigate

the TRUs transmutation capability of ADS in many institutes worldwide [1, 2, 3, 4, 5 and 6]. There are

several types of fuel matrices which are considered as the fuel of ADS, including oxide fuel, metallic

fuel, and nitride fuel. In this investigation, by introducing ceramic metallic matrix (Pu,MA)O2-xMO,

(herein CERMET) into the core, it helps to stabilize the fuel at high temperature, improve the thermal

conductivity and provide more space to accommodate fission products, thus allowing for higher

discharge burnups [7]. The purpose of this study is to verify the accuracy of innovative ADS core

modeling by using simulation codes. The reactivity calculations of CERMET loaded fuel ADS was

conducted using two Monte Carlo codes, Serpent [8] and MCNP6 [9] with ENDF/B-VII.0 library [10].

The comparison of results obtained from the two codes is analyzed and discussed in this study.

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Comparative Analysis of Reactivity Calculations for the CERMET Fueled ADS with Serpent and MCNP6 Codes
 VNU Journal of Science: Mathematics – Physics, Vol. 37, No. 1 (2021) 54-59 
 Original Article 
 Comparative Analysis of Reactivity Calculations 
 for the CERMET Fueled ADS with Serpent and MCNP6 Codes 
 Vu Thanh Mai1,*, Donny Hartanto2, Pham Nhu Viet Ha3, 
 Nguyen Thi Dung1, Bui Thi Hoa1, Vi Ho Phong1 
 1VNU University of Science, 334 Nguyen Trai, Thanh Xuan, Hanoi, Vietnam 
 2University of Sharjah, P.O.BOX, 27272, Sharjah, UAE 
 3Center of Energy, Institute for Nuclear Science and Technology, Vietnam Atomic Energy Institute, 
 179 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam 
 Received 08 April 2020 
 Revised 15 June 2020; Accepted 20 August 2020 
 Abstract: The ADS (accelerator driven system) is recognized as a promising system to annihilate 
 the radioactivity of nuclear waste with its inherent safety feature and waste transmutation potential. 
 Thus, conceptual designs of ADS are widely carrying out. In order to verify the accuracy of an 
 innovative ADS core modeling by using simulation codes, the reactivity calculations of CERMET 
 fueled ADS were conducted using two Monte Carlo codes, Serpent and MCNP6 with ENDF/B-
 VII.0 library. The comparison shows a good agreement between two codes including the eigenvalue 
 (less than 50 pcm) and fuel temperature feedback (discrepancy is within the standard deviation). It 
 implies that the ADS was modelled successfully and can be used for further investigation. 
 Keywords: CERMET fueled ADS, Serpent code, MCNP6, reactivity calculation. 
1. Introduction 
 The transuranic elements (TRUs) in the spent fuel dominate the decay heat load to the repository 
and cumulative long-term radiotoxicity to the environment. This will be a drawback to be considered in 
countries which plan to apply nuclear installation. In order to reduce the burden for disposal and the 
storage of spent nuclear fuel and its cumulative radiotoxicity to the environment, separation and 
________ 
 Corresponding author. 
 Email address: mai_vu@hus.edu.vn 
 https//doi.org/ 10.25073/2588-1124/vnumap.4506 
 54 
 V.T. Mai et al. / VNU Journal of Science: Mathematics – Physics, Vol. 37, No. 1 (2021) 54-59 55 
transmutation of the plutonium and minor actinide in the used fuel are essential. ADS (accelerator driven 
system) is recognized as a promising system to annihilate the radioactivity of nuclear waste with its 
inherent safety feature and waste transmutation potential. Feasible studies have been done to investigate 
the TRUs transmutation capability of ADS in many institutes worldwide [1, 2, 3, 4, 5 and 6]. There are 
several types of fuel matrices which are considered as the fuel of ADS, including oxide fuel, metallic 
fuel, and nitride fuel. In this investigation, by introducing ceramic metallic matrix (Pu,MA)O2-xMO, 
(herein CERMET) into the core, it helps to stabilize the fuel at high temperature, improve the thermal 
conductivity and provide more space to accommodate fission products, thus allowing for higher 
discharge burnups [7]. The purpose of this study is to verify the accuracy of innovative ADS core 
modeling by using simulation codes. The reactivity calculations of CERMET loaded fuel ADS was 
conducted using two Monte Carlo codes, Serpent [8] and MCNP6 [9] with ENDF/B-VII.0 library [10]. 
The comparison of results obtained from the two codes is analyzed and discussed in this study. 
2. CERMET Fueled ADS Modelling 
2.1. Core Configuration 
 The ADS subcritical core was loaded with thorium oxide fueled and reprocessed fuel assemblies 
separately into the core as seed and blanket. The benefits of heterogeneous core design are simplifying 
assembly fabrication, in-core fuel management and spent fuel management. In the present investigation, 
the reprocessed fuel was recovered from 45 GWd/tU burnt fuel from light water reactors (LWRs) and 
introduced in the form of ceramic metallic matrix (Pu,MA)O2-xMO, (herein CERMET) in order to 
achieve high burn up with the stabilized thermal parameters. Thorium fuel was loaded into the core in 
form of thorium oxide. 144 seed and 102 blanket assemblies were loaded, and the core layout was chosen 
 233 232
as in Figure 1 to achieve the desired keff (~0.97) and the optimized U conversion ratio from Th. The 
main design parameters of the subcritical core are listed in Table 1. 
 Figure 1. Vertical and horizontal sectional views of the seed and blanket ADS design. 
56 V.T. Mai et al. / VNU Journal of Science: Mathematics – Physics, Vol. 37, No. 1 (2021) 54-59 
 Table 1. Main design parameters of CERMET fueled ADS 
 Reactor parameter 
 Thermal power (MWth) 500 
 Fuel temperature (K) 900 
 Coolant temperature (K) 600 
 Structure material temperature (K) 600 
 Fuel type: 
 Thorium Oxide 
 TRU CERMET 
 Coolant Sodium 
 Number of thorium /reprocessed assemblies 144/102 
 Core diameter (cm) 214 
 LBE target radius (cm) 15 
 Core length (cm) 300 
 Number of pins per assembly 271 
 Length of pin (cm) 140 
 Fuel pin radius (cm) 0.372 
 Pitch of pin (cm) 0.89 
 Pitch of assembly (cm) 14.71 
 Table 2. The compositions CERMET fuel 
 Isotopes Ceramic-metallic fuel 
 weight fraction (%) 
 237Np 10.35 
 238Np 3.27E-9 
 239Np 2.18E-6 
 238Pu 0.48 
 239Pu 11.76 
 240Pu 4.91 
 241Pu 1.90 
 242Pu 1.26 
 244Pu 3.88E-5 
 241Am 10.27 
 242Am 0.02 
 243Am 2.53 
 242Cm 4.68E-5 
 243Cm 6.49E-3 
 244Cm 0.59 
 245Cm 0.04 
 246Cm 3.70E-3 
 247Cm 0.00 
 16O 5.89 
 92Mo 7.11 
 94Mo 4.53 
 95Mo 7.88 
 96Mo 8.34 
 97Mo 4.82 
 98Mo 12.31 
 100Mo 5.02 
 V.T. Mai et al. / VNU Journal of Science: Mathematics – Physics, Vol. 37, No. 1 (2021) 54-59 57 
2.2. Calculation Methods 
 The reactivity calculations were conducted by two Monte Carlo codes, Serpent [8] and MCNP [9] 
using ENDF/B-VII.0 continuous energy library [10]. MCNP6 is a general-purpose Monte Carlo N-
Particle transport code developed by Los Alamos National Laboratory that can be used for neutron, 
photon, and electron or coupled neutron/photon/electron transport. Monte Carlo technique used in 
MCNP is a statistical method in which estimations for particle characteristics are obtained through 
multiple computer simulations of the behavior of individual particles in a system. Serpent is a three-
dimensional continuous-energy Monte Carlo reactor physics burnup calculation code developed in the 
VTT Technical Research Center of Finland. The code has been widely used in more than 100 institutes 
around the world for many applications such as spatial lattice homogenization [11], short transient 
simulation [12], and sensitivity and uncertainty analysis [13]. Moreover, Serpent has also been used to 
analyze ADS performance [14, 15]. Unlike in MCNP, Serpent can perform the depletion calculation in 
the fixed source mode which meets the need for fuel depletion and minor actinide transmutation 
capability investigation for the ADS. The spallation neutrons of the ADS are produced by bombarding 
an accelerated proton beam onto the LBE cylindrical target and it exists in the simulation as an external 
source. Thus, in order to use Serpent for further investigation, the accuracy of the ADS modelling by 
Serpent is verified with MCNP6 result in this study. Both reactivity calculations were performed in 
KCODE mode only in order to verify the accuracy of the core modeling. The standard deviation for both 
calculations was less than 2.10-4. 
3. Results and Discussion 
3.1. Multiplication Factor keff 
 The CERMET fueled ADS was modeled using MCNP6 and Serpent code with ENDF/B-VII cross 
section library and its reactivity was obtained. The comparison between the two results shows a good 
agreement. The discrepancy of keff is 39 pcm. Two models has such a good agreement in reactivity since the 
neutron spectra was almost the same (Figure 2). Besides, by using the same version of cross section library, 
it helps to minimize the discrepancy from the nuclear data. The discrepancy is mostly attributed to the used 
number of histories and random sampling which caused the standard deviation in the stochastic method. 
 Figure 2. Comparison of neutron spectra of the CERMET FUELED ADS obtained by Serpent and MCNP6. 
58 V.T. Mai et al. / VNU Journal of Science: Mathematics – Physics, Vol. 37, No. 1 (2021) 54-59 
3.2. Fuel Temperature Coefficient (FTC) 
 During the operation, the change in fuel temperature will cause a fluctuation in core reactivity. The 
temperature feedback of the core is estimated using the fuel temperature coefficient: 
 where T is the temperature coefficient and is the reactivity at specific temperature of the fuel. 
 In order to obtain the temperature coefficient of the ADS, two fuel temperatures (900 K and 1200 
K) were applied. The change of reactivity due to the fuel temperature change is caused by the Doppler 
effect when the peak of the resonance absorption cross section reduced, and the total area of the peak 
remains usnchanged with fuel temperature increased. However, in the reprocessed fuel loaded ADS, the 
Doppler effect is found to be trivial since the fuel is not including 238U. Because of this, the number of 
histories used in these calculations were increased in order to obtain the standard deviation within 2 
pcm. The FTC obtained by MCNP6 and Serpent is shown in Table 4. It is negative but very minor in 
magnitude. However, it is acceptable for a subcritical system like ADS with the subcriticality margin is 
3000 pcm. The agreement in temperature coefficient (Table 4) reassures the accuracy in two code 
reactivity calculations. 
 Table 3. Reactivity of the CERMET fueled ADS obtained by Serpent and MCNP6 
 MCNP6 SERPENT 
 keff 0.97380±0.00010 0.973413±0.00015 
 Table 4. Temperature coefficient of the CERMET fueled ADS obtained by Serpent and MCNP6 
 MCNP6 SERPENT 
 FTC (pcm/K) -0.12±0.01 -0.13±0.01 
4. Conclusion 
 The CERMET fueled ADS core was successfully modeled using MCNP6 and Serpent code with 
ENDF/B-VII cross section library and its reactivity obtained by two codes was compared. The 
comparison shows that two codes’ results were in excellent agreement with each other (less than 50 pcm 
in keff and discrepancy of FTC is within the standard deviation). Consequently, the core model using 
Serpent was verified and can be used in the investigation to analyze other neutronic characteristics and 
the minor actinides transmutation capability of the ADS. In the next investigation, the neutron spallation 
source will be defined and added into the ADS model using Serpent code. The source efficiency also 
can be estimated. 
 V.T. Mai et al. / VNU Journal of Science: Mathematics – Physics, Vol. 37, No. 1 (2021) 54-59 59 
Acknowledgments 
This research is funded by Vietnam National Foundation for Science and Technology Development 
(NAFOSTED) under grant number 103.04-2019.14. 
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