Neutronics modeling and analysis of the TMSR-SF1 fuel lattice and full core with explicit fuel particle distribution and random pebble loadings

Sun, Kaichao; Wilson, Jarod; Hauptman, Sara; Ji, Ruimin; Dave, Akshay J.; Zou, Yang; Hu, Lin‐Wen

doi:10.1016/j.pnucene.2018.08.005

Cited by 20 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While some experimentalists have not observed any significant axial variation in porosity [80] or have only treated axial dependence in a bulk sense [95,96], many DEM simulations, sometimes confirmed by experiments, have shown that the axial porosity profile is a damped oscillatory function of the distance from the bounding wall, while smoothly approaching unity at the free end of the bed [54,62,89,90,107]. The damping is very similar to the radial damping described previously, with wall effects disappearing within about five pebble diameters of the bounding wall [90].…”

Section: Porositymentioning

confidence: 99%

See 1 more Smart Citation

Pronghorn Theory Manual

Novak

Schunert

Carlsen

et al. 2020

View full text Add to dashboard Cite

Section: Porositymentioning

confidence: 99%

“…The dependence of thermal properties on the gas composition within the graphite voids is not considered. The same or slightly different values for ρ S , k S , and C p,S have been measured or used elsewhere [5,58,59,107,[176][177][178][179], with the except of large differences in specific heat [58,178] and thermal conductivity [180].…”

Section: Porousgraphitementioning

confidence: 99%

Pronghorn Theory Manual

Novak

Schunert

Carlsen

et al. 2020

View full text Add to dashboard Cite

“…HTR-10 was studied focusing on the effect of the randomness of TRi-structural ISOtropic (TRISO) particles (Çolak and Seker, 2005). The first solid-fueled thorium molten salt reactor (TMSR-SF1) was modeled explicitly, and the influence of randomness of TRISO particles was studied (Sun et al, 2018). The influence of a cross-section library was studied based on the explicit model of the pebble bed reactor of ASTRA facility (Rintala et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

High-Fidelity MC-DEM Modeling and Uncertainty Analysis of HTR-PM First Criticality

Liu

Feng

et al. 2022

Front. Energy Res.

View full text Add to dashboard Cite

A high-fidelity model for the first criticality of pebble-bed reactor HTR-PM is built using Monte Carlo (MC) code RMC and discrete element method (DEM) code LAMMPS. Randomly packed TRi-structural ISOtropic (TRISO) particles and fuel pebbles are modeled explicitly. A cone structure on the top of the pebble bed is also taken into account. Criticality calculation result agrees well with the experiment. Uncertainty analysis is carried out considering three inherent aspects: the randomness of MC code, the randomness of TRISO particle and pebble position, and the randomness of mixed pebbles. Results show that these factors have a significant impact on the uncertainty of effective multiplication factor (keff). And the most influential factor is expected to be the randomness of mixed pebbles. The influence of several configuration factors is studied as well. It is observed that the effects of cross-section library, the heterogeneity of TRISO particles, and the angle of pebble bed cone are nonnegligible contributors. However, the results between randomly and regularly placed TRISO particles are not noticeably different.

show abstract

“…The most common MSs are nitrates, for use at relatively low temperatures below 560 °C, and alkali fluorides, chlorides, and hydroxides and their mixed combinations, for use at higher temperatures. They have a variety of important applications such as in thermal energy storage, , advanced nuclear reactor technologies, − concentrated solar power and battery industry, − and so forth. Relatively recently, there has been a resurgence of interest in advanced nuclear technologies with the development of several high-temperature reactor designs using molten salt as a coolant or a fuel, which have the potential to change the landscape of carbon-free energy generation with much reduced cost .…”

Section: Introductionmentioning

confidence: 99%

Temperature-Dependent Properties of Molten Li₂BeF₄ Salt Using Ab Initio Molecular Dynamics

et al. 2021

View full text Add to dashboard Cite

Molten lithium tetrafluoroberyllate (Li 2 BeF 4 ) salt, also known as FLiBe, with a 2:1 mixture of LiF and BeF 2 is being proposed as a coolant and solvent in advanced nuclear reactor designs, such as the molten salt reactor or the fluoride salt cooled high-temperature reactor. We present the results on the structure and properties of FLiBe over a wide range of temperatures, 0−2000 K, from high-throughput ab initio molecular dynamics simulation using a supercell model of 504 atoms. The variations in the local structures of solid and liquid FLiBe with temperature are discussed in terms of a pair distribution function, coordination number, and bond angle distribution. The temperature-dependent electronic structure and optical and mechanical properties of FLiBe are calculated. The optical and mechanical property results are reported for the first time. The results above and below the melting temperature (∼732 K) are compared with the experimental data and with data for crystalline FLiBe. The electronic structure and interatomic bonding results are discussed in correlation with the mechanical strength. A novel concept of total bond order density (TBOD), an important quantum mechanical parameter, is used to characterize the internal cohesion and strength in the simulated models. The results show a variation in the rate of change in properties in solid and liquid phases with anomalous behavior across the melting region. The observed trend is the decrease in mechanical strength, band gap, and TBOD in a nonlinear fashion as a function of temperature. The refractive index shows a surprising minimum at 850 K, among the tested temperatures, which lies above the melting point. These findings provide a new platform to understand the interplay between the temperature-dependent structures and properties of FLiBe salt.

show abstract

Neutronics modeling and analysis of the TMSR-SF1 fuel lattice and full core with explicit fuel particle distribution and random pebble loadings

Cited by 20 publications

References 16 publications

Pronghorn Theory Manual

Pronghorn Theory Manual

High-Fidelity MC-DEM Modeling and Uncertainty Analysis of HTR-PM First Criticality

Temperature-Dependent Properties of Molten Li₂BeF₄ Salt Using Ab Initio Molecular Dynamics

Contact Info

Product

Resources

About

Neutronics modeling and analysis of the TMSR-SF1 fuel lattice and full core with explicit fuel particle distribution and random pebble loadings

Cited by 20 publications

References 16 publications

Pronghorn Theory Manual

Pronghorn Theory Manual

High-Fidelity MC-DEM Modeling and Uncertainty Analysis of HTR-PM First Criticality

Temperature-Dependent Properties of Molten Li2BeF4 Salt Using Ab Initio Molecular Dynamics

Contact Info

Product

Resources

About

Temperature-Dependent Properties of Molten Li₂BeF₄ Salt Using Ab Initio Molecular Dynamics