Abstract
In this study, a Boiling Water Reactor (BWR) modeling was done for the reactor core divided into square lattice 8 × 8 type using the Monte Carlo Method. Each of the square lattices in the reactor core was divided into small square lattices 7 × 7 type in groups of four. In the BWR designed in this study, modeling was made on fuel assemblies at pin-by-pin level by using neptunium mixed fuels as fuel rod, Zr-2 and SiC as fuel cladding, H2O as coolant. In fuel rods were used NpO2 and NpF4 fuels at the rate of 0.2%-1% as neptunium mixed fuels. In this study, the effect on the neutronic calculations as keff, neutron flux, fission energy, heating of NpO2 and NpF4 fuels in 0.2%-1% rates, and Zr-2 and SiC clads were investigated in the designed BWR system. The three-dimensional (3-D) modelling of the reactor core and fuel assembly into the designed BWR system was performed by using MCNPX-2.7.0 Monte Carlo method and the ENDF/B-VII.0 nuclear data library.
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Introduction
Light water reactors (LWR) developed in the 1950s; it is the most common fission reactor that uses fissile material as fuel and normal water as both coolant and neutron moderator1,2. The boiling water reactor (BWR) used mainly for the production of electrical energy based on pressure is a kind of light water nuclear reactor. All of the nuclear reactors available today are fission reactors, and the spent fuel from these reactors includes uranium (about 95 wt%), plutonium (0.9 wt%), minor actinides; Np, Am and Cm (0.1 wt%) and fission products such as Cs, Sr, Tc and I (4 wt%)3,4. These wastes, which may have a high radiotoxicity and a good source of energy remaining from the existing reactors, are stored for future use. However, these wastes should be transformed into stable and short-lived isotopes by nuclear reactions such as fission or neutron capture. Thus, solutions will be produced for both environmental and fuel problems that will occur in the near future5,6,7,8.
Zircaloy-2 (Zr-2) and SiC–SiC ceramic matrix composites (CMCs) were developed as a fuel cladding in light water reactors (both BWR and PWR). Cracking in the fuel cladding occurs by a combination of cladding stresses and the corrosive effects of some fission products such as iodine and cadmium9. The cracking of fuel cladding for reactor life and power generation is undesirable. Zr-2 and SiC have the characteristics that cracks do not spread through the cladding during a power ramp, their irradiation stability, the stress level low10,11,12, the ability to maintain their mechanical properties and chemical inactivity at high temperatures13, and exceptional resistance to steam oxidation9,11,12. In order to increase nuclear energy production from nuclear fuel, it is desired to have low thermal neutron absorption cross section values such as 0.18 barn and 0.12 barn for Zr-2 and SiC in the fuel cladding material selection, respectively14. Therefore, Zr-2 (98% Zr, 1.6% Sn, 0.15% Fe, 0.1% Cr, 0.05% Ni)15,16 and SiC (48.3% Si, 51.7% C)17 were used as fuel cladding in this study. Minor actinides are valuable but can be dangerous if used incorrectly. Therefore, neptunium-added radioactive materials were used in this study to reduce the amount of minor actinides. It was designed a BWR system using NpO2 and NpF4 fuels at the rate of 0.2–1% as neptunium mixed fuels, and Zr-2 and SiC as clad in the current study. The purpose of this study was to investigate the effect of the neptunium mixed fuels and clads on three-dimensional (3-D) neutronic calculations, such as keff, neutron flux, fission energy and heating in the designed BWR system. The 3-D modelling of the reactor core and fuel assembly into the designed BWR system was performed by using MCNPX-2.7.0 Monte Carlo method and the ENDF/B-VII.0 nuclear data library.
Method
Core geometry and fuel assembly geometry
In this study, Peach Bottom-2 nuclear power plant18 was used for the selection of design parameters values of BWR in our model. BWR design parameters values of this study are shown in Table 1. The core design of the cylindrical BWR that we modeled in MCNPX is shown in Fig. 1. Moreover, as shown in Fig. 1, the reactor core is divided into the square lattice 8 × 8 type. The constant pitch of the square lattice 8 × 8 type is 30.48 cm. The core was surrounded by a graphite reflector. The outboard side of the reflector was surrounded by SS316LN ferritic steel.
The core surrounded with approximately 40 reflector assemblies. As shown in Fig. 2, the fuel rods were put into square lattices and every square lattice was divided into four small square regions. Every small square region was divided into 7 × 7 type the small square lattices. The constant pitch of the small square lattice 7 × 7 type is 1.94084 cm.
Cylindrical fuel pins were placed in the small square lattices. The fuel pins were created from the fuel rod, gap and clad. The pin cell geometry in the small square lattice of the designed BWR system is shown in Fig. 319. 49 fuel rods inside every small square lattice and 196 fuel rods inside every square lattice were placed in the designed BWR system. 0.2–1% NpO2 and NpF4 were filled into the fuel rods and Zircaloy-2 and SiC were used as clad in this study.
As seen in Fig. 2, the control rods used to ensure reactivity control were placed in cruciform between four small square lattices. The blade radius of the control rod is 0.39624 cm and the blade half length is 11.98626 cm. The control rods were filled by B4C in the designed BWR system. The absorber pins were made in cylinder shape into the cruciform. In the every cruciform were used total 84 absorber pins (21 per wing). Thus, it was used total 15,540 absorber pins in the designed BWR system. Type-304 stainless steel was used as structural material in the cruciform. H2O was used as coolant in the designed BWR system.
The system modeling code
Nuclear data are important parameters for reactor physics modeling and simulation. Nuclear data can be obtained by experimental measurement, theoretical calculation and Evaluated Nuclear Data Files (ENDFs). ENDFs have been separately released from different countries to standardize as internationally experimental data and calculations20,21,22,23,24. Internationally accepted ENDFs are used with model calculations.
In this study, ENDF/B-VII.025 published in 2006 was used for ENDF/B from evaluated nuclear data files for Monte Carlo N-Particle (MCNP) method26,27.
The Monte Carlo method is generally used because of the complex three-dimensional configuration of the materials, reactor physics modeling and simulation, and the many physics problems of deterministic methods. MCNPX (MCNP eXtended)28, which the combination of MCNP and LAHET29 codes is a Monte Carlo radiation transport code that tracks all particles at almost any energies. The MCNPX transport code uses the continuous energy cross-sections30 to transport low-energy particles (< 20 meV), while it uses cross section libraries for low energy particles (< 150 meV) and nuclear models for high energy particles (> 150 meV)31. The MCNPX uses standard cross-section libraries compiled from ENDF/B for neutron, proton and photonuclear interactions. Different intranuclear, preequilibrium and evaporation-fission models have been implemented into MCNPX-2.7.0 version, which offers seven different options based on four physics packages: Bertini32,33 and ISABEL34,35, INCL436,37,38, the CEM2k39 package and two evaporation-fission models Dresner40, ABLA41. Bertini, ISABEL, and INCL4 are INC models, which can be coupled with ABLA and Dresner evaporation–fission codes. CEM2k is a cascade-preequilibrium-evaporation model4243. The three-dimensional (3-D) modelling of the reactor core and fuel assembly into the designed BWR system was performed by using MCNPX-2.7.0 Monte Carlo method and the ENDF/B-VII.0 nuclear data library.
Results and discussion
Effective neutron multiplication factor
The effective neutron multiplication factor (keff) plays an extremely important role in determining nuclear reactor behavior. The criticality factor keff is effective in determining the contribution of nuclear reactions to neutron multiplication. keff is defined as the net increase in the number of neutrons from one generation to the next (Eq. 1). keff = 1 is the desired critical operating mode of a reactor. If keff < 1, the number of neutrons will decrease exponentially. If keff > 1, the number of neutrons will increase exponentially, which will be dangerous to operate the reactor44,45.
In this study, keff was examined for Zr-2 and SiC as clad and NpO2 and NpF4 fuels as Neptunium Mixed Fuels. Figure 4 shows the keff value for the Zr-2 and SiC clad at 0.2–1% relative to the NpO2 and NpF4 fuel compositions. The effective multiplication constant must keff ≤ 1 in the designed BWR system to avoid the critical accident. As shown in Fig. 4, the keff value increases as the NpO2 and NpF4 fuel contents ratios increase from 0.2% to 1%. Figure 4 shows that the lower and upper keff limit values of 0.6–0.8% NpO2 are 0.98033–1.08004 for Zr-2, and those of 0.6–0.8% NpO2 are 0.98517–1.08856 for SiC clads, respectively. Table 2 shows the calculated keff values for three different fuel ratios of NpO2 and NpF4 between 0.6–0.8% in Zr-2 and SiC clads. As shown in Fig. 4 and Table 2, the keff values for Zr-2 and SiC clads of NpO2 fuel, and keff values for Zr-2 and SiC clads of NpF4 fuel are similar because of the similar thermal neutron absorption cross sections of Zr-2 (σ = 0.18 b) and SiC (σ = 0.12 b) clads values. Moreover, for the fuel ratios used, the keff values obtained from SiC are higher than those of Zr-2. As a conclusion, the calculated keff value for 0.6–0.8% NpO2 fuel and SiC clad provided the desired (keff ≤ 1) critical value. Therefore, considering the fuel ratios (0.6–0.8%) for which the keff critical value was obtained, the lower limit of the fuel ratio was determined as 0.2% for below 0.6%, and the upper limit as 1% for above 0.8%.
Neutron flux
The neutron flux distribution in a nuclear reactor core is important for neutronic calculations of all neutron-induced nuclear reactions such as fission energy, heating, fissile fuel production. Neutron flux is the total length travelled by all neutrons per unit time and volume46. The process of neutron transport should be investigated to determine the neutron flux distribution in the reactor. For this purpose, Boltzmann equation also called the neutron transport equation46,47 is commonly used to calculate neutron flux in a reactor.
\(\frac{1}{v}\frac{\partial \varphi}{\partial t}\) = Change of neutron flux in unit time, \(\Omega .\nabla\varphi\) = Neutron loss because of convection, \(\sum_{t}\left(r, E\right)\varphi\)= Neutron loss because of nuclear reactions.
Terms in Eq. (2) for \(q(r, E,\Omega , t)\varphi\) can be defined as follows (Eq. 4):
\(\int_{{4\pi }} {d\Omega ^{\prime } } \int_{0}^{\infty } {dE^{\prime } } \sum _{s} (E^{\prime } \to E,\Omega ^{\prime } \to \Omega )\varphi (r,E^{\prime } ,\Omega ^{\prime } ,t)\) = Contribution of neutrons on neutron flux due to scattering, = \(s(r, E,\Omega , t)\)Contribution of neutron source independent on the neutron flux.
In this study, neutron flux distribution was calculated using MCNPX-2.7.0 code and ENDF/B-VII.0 to solve Boltzmann Eqs. (2)46,47 and (4)46,47. F4 tally was used to calculate the neutron flux distribution by track-length estimates of the total cell flux. Since neutron flux distribution is an important parameter in evaluating the neutronic performance of a reactor, neutron flux distribution for different clad and fuels was calculated in this study.
Figure 5 shows that the neutron flux value for Zr-2 and SiC clads increases as the NpO2 and NpF4 fuel content ratios increase from 0.2% to 1%. As seen in Fig. 5 (for SiC captures less thermal neutrons than Zr-2), the highest neutron flux (1.696.1013n/cm2.s) result from 1% NpO2 fuel for SiC clad and the lowest neutron flux (1.107.1013n/cm2.s) result from 0.2% NpF4 fuel for Zr-2 clad.
Fission energy
Almost all fast neutrons in a nuclear reactor are obtained by fission reactions. Fission energy is produced by fission reactions. The fission energy released consists of various energy modes, such as kinetic energy from fission products and fission neutrons, fast gamma rays and energy from subsequent neutron capture43,48. Fission energy was calculated using F7 tally. Fission energy is an important parameter for neutronic calculations of a nuclear reactor.
Figure 6 shows the calculated fission energy values for Zr-2 and SiC clads, and NpO2 and NpF4 fuel content ratios (0.2–1%) in the designed BWR system. The fission energy values increased as the NpO2 and NpF4 fuel content ratios increase from 0.2% to 1%, for both Zr-2 and SiC clads. Since the thermal neutron cross section of Zr-2 is larger than SiC, fewer thermal neutrons in the Zr-2 cladding will contribute to fission energy generation. Hence, as seen in Fig. 6, the highest fission energy value (83.28 meV/n) was obtained from 1% NpO2 fuel for SiC clad and the lowest fission energy value (16.64 meV/n) was obtained from 0.2% NpF4 fuel for Zr-2 clad.
Heating
Neutron flux distribution and neutron multiplicity per incident neutron determine the performance of the nuclear reactor system. Therefore, the contribution of neutron spectrum and neutron multiplicity to heat energy production should be determined in the nuclear system. Moreover, heating expressed as heat energy production is produced through neutron flux, fission and other reactions. Most of the fission energy of the nuclear reactor, especially in the fuel zone, is converted into heating. A small heat release will occur through neutron and γ-ray radiation in the coolant around the fuel rods49,50. F6 tally was used to calculate the heating by track-length heating of the total cell heating.
Figure 7 shows the heating values calculated in the relevant regions of the designed BWR system for both Zr-2 and SiC clads, and NpO2 and NpF4 fuel contents (0.2–1% rates). In this study, neutron flux in fuel region is more intense than other regions, since fission reaction occurs in Np additive fuel rods in the fuel region of the designed reactor. For this reason, as seen in Fig. 7, the heating value increases as the NpO2 and NpF4 fuel content increase from 0.2% to 1% in the fuel region where the neutron flux is intense (for Zr-2, SiC clads). When Fig. 7 is examined for the fuel region, it is seen that the highest contribution to heating comes from 1% NpO2 with values of 11.85911 W/gr for Zr-2 and 11.93478 W/gr for SiC, while the lowest contribution to heating comes from 0.2% NpF4 with values of 2.40284 W/gr for Zr-2 and 2.40285 W/gr for SiC. As a result, the heating value in the fuel region for 1% NpO2 fuel content and SiC clad is higher than other fuel content ratios and clads. The heating values of the water region (coolant) shown in Fig. 7 are presented in detail in Table 3. The heating value generated in the water region around the fuel rods through neutron and γ-ray radiation with fission products is smaller than in the fuel region. As shown in Table 3, the heating value in the water region increased slightly with the increase of NpO2 and NpF4 fuel content ratios from 0.2% to 1% for Zr-2 and SiC clads. Moreover, as the highest contribution to heating in the water region comes from 1% NpO2 and SiC clad, the lowest contribution comes from 0.2% NpF4 and Zr-2 clad. Figure 7 shows that the heating values in the clad and cruciform region decreases as the NpO2 and NpF4 fuel content ratios increase from 0.2% to 1%, for Zr-2 and SiC clads. For the clad and fuel content ratios, the contributions of the regions to heating from higher to lower value are fuel, water, cruciform and clad, respectively.
Table 4 shows the integrated heating for NpO2 and NpF4 fuel content ratios (0.2–1%), and Zr-2 and SiC clads, in our BWR system. It is seen that the integrated heating value increased due to the increase in the fission reaction resulting from the increase of NpO2 and NpF4 fuel content from 0.2% to 1%, for Zr-2 and SiC clads. Integrated heating values for Zr-2 and SiC clads of NpO2 fuel, and integrated heating values for Zr-2 and SiC clads of NpF4 fuel are similar because of the similar thermal neutron absorption cross sections of Zr-2 and SiC clads values. Moreover, when Zr-2 and SiC clads are compared with NpO2 and NpF4 fuel content, it is seen that the integrated heating value found when using SiC is greater than those of Zr-2. As the highest integrated heating value was obtained from 1% NpO2 fuel for SiC clad with 24.51 W/gr, the lowest integrated heating value was obtained from 0.2% NpF4 fuel for Zr clad with 5.51 W/gr.
Conclusions
In this study, a BWR system with 8 × 8 type square lattice is designed. Each square lattice was divided into small square lattices of 7 × 7 type, which consist of Zr-2 and SiC clads, 0.2–1% NpO2, NpF4 fuel rods, water and cruciform. In the study; keff, neutron flux, fission energy, heating were calculated for 0.2–1% NpO2, NpF4 fuels and Zr-2, SiC clads. In the designed BWR system, these neutronic calculations were made using the MCNPX-2.7.0 Monte Carlo method and ENDF/B-VII.0 nuclear data library.
In the study, it was observed that keff, neutron flux, fission energy, heating values increased with the increasing rates of NpO2 and NpF4 fuels in both Zr-2 and SiC clads.
It was found that neutronic results calculated with NpO2 fuel and SiC clad were higher than NpF4 fuel and Zr-2 clad. As a conclusion, considering the neutronic results obtained from keff, neutron flux, fission energy and heating values, it is recommended to use NpO2 fuel and SiC clad in BWR reactor models.
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Rebak, R. B. Accident-Tolerant Materials for Light Water Reactor Fuels. Chapter 2. 15–22 (Elsevier, Amsterdam, 2020).
Buttery, N. Water cooled thermal reactor designs, operation and fuel cycle. İn Nuclear Fuel Cycle Science and Engineering (ed. Crossland, I.) 237–277 (Woodhead Publishing Ltd., UK, 2012).
Warin, D. Status of the French research program on partitioning and transmutation. J. Nucl. Sci. Technol. 44(3), 410–414 (2007).
IAEA, International Atomic Energy Agency. Status of Minor Actinide Fuel Development. Nuclear Energy Series No. NF-T-4.6. (IAEA Publishing, Vienna, 2009).
Zakova, J. & Wallenius, J. Multirecycling of Pu, Am and Cm in BWR. Ann. Nucl. Energy. 58, 255–267 (2013).
Fridstrom, R. Response of the Gamma TIP Detectors in a Nuclear Boiling Water Reactor. UPTEC F10 042. (Uppsala University, Uppsala, 2010).
Loberg, J. Novel Diagnostics and Computational Methods of Neutron Fluxes in Boiling Water Reactors. Digital Comprehensive Summaries of Uppsala Dissertations from The Faculty of Science and Technology 715 (2010).
Loberg, J., Österlung, M., Blomgren, J. & Bejmer, K. Neutron detection-based void monitoring in boiling water reactors. Nucl. Sci. Eng. 164, 69–79 (2010).
Edsinger, K. & Murty, K. L. LWR pellet-cladding interactions: materials solutions to SCC. JOM. 53(7), 9–13 (2001).
Williams, C. D. et al. Zircaloy-2 lined zirconium barrier fuel cladding twelfth international symposium. ASTM STP. 1295, 676–694 (1996).
Singh, G. et al. Deformation analysis of SiC-SiC channel box for BWR applications. J. Nucl. Mater. 513, 71–85 (2019).
Yueh, K. & Terrani, K. A. Silicon carbide composite for light water reactor fuel assembly applications. J. Nucl. Mater. 448, 380–388 (2014).
Jha, S. K., Dixit, S., Chetan, K., Vaibhaw, K. & Srivastava, D. Co-extrusion of Zircaloy-2 and Zr-Sn alloy for double clad tube manufacturing: Numerical simulation and experimental validation. J. Manuf. Process. 39, 18–25 (2019).
Zhou, B. & Feng, K. Zr–Cu alloy filler metal for brazing SiC ceramic. RSC Adv. 8, 26251–26254 (2018).
Masterson, R. E. Nuclear Engineering Fundamentals: A Practical Perspective. Chapter 11. 545–546 (CRP Press, Boca Raton, 2017).
Nishino, Y., Krauss, A. R., Lin, Y. & Gruen, D. M. Initial oxidation of zirconium and Zircaloy-2 with oxygen and water vapor at room temperature. J. Nucl. Mater. 228, 346–353 (1996).
Sauder, C., Michaux, A., Loupias, G., Braun, J. Assessment of SiC/SiC cladding for LWRs. LWR Fuel Performance Meeting (Top Fuel). Charlotte, USA. Sept. 15–19. 951–956 (2013).
Solis, J., Ivanov, K. N., Sarikaya, B., Olson, A. M., Hunt, K. W. Boiling Water Reactor Turbine Trip (TT) Benchmark. Volume I. US Nuclear Regulatory Commission. OECD Nuclear Energy Agency. 1–66 (OECD Publishing, Paris, 2001).
Günay, M., Espinoza, V. H. S. & Travleev, A. The effect on neutronic calculations of certain alternative fuels in a boiling water reactor by using MCNPX Monte Carlo method. Acta Phys. Pol. A. 128(2B), 110–112 (2015).
Günay, M. Monte Carlo calculations of the nuclear effects of certain fluids in a hybrid reactor. Prog. Nucl. Energ. 86, 103–109 (2016).
Kabach, O., Chetaine, A., Benchrif, A. Processing of JEFF-3.3 and ENDF/B-VIII.0 and testing with critical benchmark experiments and TRIGA Mark II research reactor using MCNPX. Appl. Radiat. Isot. 150, 146–156 (2019).
Şarer, B., Aydın, A., Günay, M., Korkmaz, M. E. & Tel, E. Calculations of Neutron-Induced Production Cross-Sections of 180, 182, 183, 184, 186W up to 20 MeV. Ann. Nucl. Energy. 36, 417–426 (2009).
Wan, C., Zou, X., Cao, L., Wu, H. Covariance comparisons between ENDF/B-VII.I and ENDF/B-VIII.0 with application for the UAM-LWR exercises. Ann. Nucl. Energy. 138, 107–183 (2020).
Wooten, H. O. An application for streamlined and automated ENDF Cross Section Analysis and visualization (EXSAN). Ann. Nucl. Energy. 129, 482–486 (2019).
Chadwick, M. B., et al. ENDF/B-VII.0: Next generation evaluated nuclear data library for nuclear science and technology. Nucl. Data Sheets. 107, 2931–3060 (2006).
Pelowitz, D. B. (Ed.). MCNPX User's Manual, Version 2.7.0. Los Alamos National Laboratory Report. LA-CP-11–00438 (2011).
Pelowitz, D. B., et al. MCNPX 2.7.0 Extensions. Los Alamos National Laboratory Report. LA-UR-11–02295 (2011).
Waters, L.S. (ed.). MCNPX User’s Manual, Version 2.3.0. LA-UR-02–2607 (2002).
Prael, R.E., Lichtenstein, H. User Guide to LCS: The LAHET Code System, Los Alamos National Laboratory Report. LA-UR-89–3014 (1989).
Plaschy, M. et al. Comparisons of deterministic neutronic calculations with Monte Carlo results for an advanced BWR fuel assembly with Hafnium control blades. J. Nucl. Sci. Technol. 43(11), 1298–1310 (2006).
Şarer, B., Korkmaz, M. E., Günay, M. & Aydın, A. Monte Carlo studies in accelerator-driven systems for transmutation of high-level nuclear waste. Energy Convers. Manag. 49, 1966–1971 (2008).
Bertini, H. W. Low-energy ıntranuclear cascade calculation. Phys. Rev. 131, 1801 (1963).
Bertini, H. W. Intranuclear-cascade calculation of the secondary nucleon spectra from nucleon–nucleus interactions in the energy range 340 to 2900 MeV and comparisons with experiment. Phys. Rev. 188, 1711 (1969).
Yariv, Y. & Fraenkel, Z. Intranuclear cascade calculation of high-energy heavy-ıon interactions. Phys. Rev. C. 20, 2227 (1979).
Yariv, Y. & Fraenkel, Z. Intranuclear cascade calculation of high energy heavy ıon collisions: effect of interactions between cascade particles. Phys. Rev. C. 24, 488 (1981).
Boudard, A., Cugnon, J., Leray, S. & Volant, C. Intranuclear cascade model for a comprehensive description of spallation reaction data. Phys. Rev. C. 66, 044615 (2002).
Cugnon, J. Proton-Nucleus interaction at high energy. Nucl. Phys. A. 462, 751–780 (1987).
Cugnon, J., Volant, C. & Vuillier, S. Improved Intranuclear Cascade model for nucleon-nucleus interactions. Nucl. Phys. A. 620, 475–509 (1997).
Mashnik, S.G., Toneev, V.D. MODEX – The Program for Calculation of The Energy Spectra of Particles Emitted in The Reactions of Pre-equilibrium and Equilibrium Statistical Decays. Communication, JINR P4–8417, (Dubna, 1974).
Dresner, L. EVAP—a FORTRAN Program for Calculating The Evaporation of Various Particles from Excited Compound Nuclei. Report ORNL/TM-196. Oak Ridge National Laboratory (1962).
Junghans, A. R. et al. Projectile-Fragment yields as a probe for the collective enhancement in the nuclear level density. Nucl. Phys. A. 629, 635–655 (1998).
Şarer, B., Şahin, S., Günay, M. & Çelik, Y. Comparisons of the calculations using different codes implemented in MCNPX Monte Carlo transport code for accelerator driven system target. Fusion Sci. Technol. 61, 302–307 (2012).
Günay, M. & Kasap, H. Neutronic investigation of the application of certain plutonium-mixed fluids in a fusion–fission hybrid reactor. Ann. Nucl. Energy. 63, 432–436 (2014).
Duderstadt, J.J., Hamilton, L.J. Nuclear Reactor Analysis (Sixth Edition). Chapter 3. 75–76 (John Wiley & Sons, New York, 1976).
Ouahdani, S.E. et al. A temperature effect analysis of the KRITZ-1 benchmark based on keff decomposition and using the JENDL-4.0 and ENDF/B-VII.1 libraries. Prog. Nucl. Energ. 109, 121–129 (2018).
Rudi J. J. Stamm'ler, Máximo Julio Abbate, Methods of Steady-State Reactor Physics in Nuclear Design. Chapter 1. 7–29 (Academic Press, London, 1983).
Duderstadt, J.J., Hamilton, L.J. Nuclear Reactor Analysis (Sixth Edition). Chapter 4. 104–114 (John Wiley& Sons, New York, 1976).
Liu, Y., Kochunas, B., Martin, W. & Downar, T. Delayed fission energy effect on LWR normal operation and transients. Ann. Nucl. Energy. 128, 84–93 (2019).
Şahin, S., Şarer, B. & Çelik, Y. Utilization of nuclear waste plutonium and thorium mixed fuel in candu reactors. Int. J. Energ. Res. 40, 1901–1907 (2016).
Şarer, B., Şahin, S., Çelik, Y. & Günay, M. Evaluation of integral quantities in an accelerator driven system using different nuclear models implemented in the MCNPX Monte Carlo transport code. Ann. Nucl. Energy. 62, 382–389 (2013).
Acknowledgements
I would like to thank Dr. Serkan DÜZ for their support and effort to improve the quality of the study.
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Conceptualization and design of the work; data acquisition, analysis and interpretation of data; writing, reviewing and editing have done by M.D. Design of the work and data acquisition have done by S.İ.
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Düz, M., İnal, S. The effect of different fuels and clads on neutronic calculations in a boiling water reactor using the Monte Carlo method. Sci Rep 10, 22114 (2020). https://doi.org/10.1038/s41598-020-79236-8
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DOI: https://doi.org/10.1038/s41598-020-79236-8
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