Maria Susini, Sacha Barré, Daniele Tomatis, Stefano Argirò
{"title":"Study of energy deposition in the coolant of LFR","authors":"Maria Susini, Sacha Barré, Daniele Tomatis, Stefano Argirò","doi":"arxiv-2409.08203","DOIUrl":null,"url":null,"abstract":"The determination of the fraction of energy deposited in the coolant is\nrequired for the setup of accurate thermal-hydraulic calculations in reactor\ncore analysis. This study focuses on assessing this fraction and analysing the\nneutronic and photonic processes contributing to energy deposition in\nLead-cooled Fast Reactors (LFRs). Using OpenMC, coupled neutron-photon\ntransport calculations were performed within a fuel pin cell geometry,\nrepresentative of the one under development at \\textsl{new}cleo. Additionally,\nthe implementation of lattice geometry was tested to gauge the impact of\nreflective boundary conditions on computational efficiency. In the context of a\nsurface-based algorithm, the pin geometry has proven to be computationally more\ncost-effective. The fraction of energy deposited in the LFR coolant was\nevaluated at $\\sim5.6$\\%, surpassing that of pressurised water Reactors\n($\\lessapprox 3\\%$), with photon interactions emerging as the principal\ncontributor. The influence of bremsstrahlung radiation was also considered,\nrevealing minor impact compared to other photonic processes. Given the\ncontinuous exploration of various core designs and the expectation of diverse\noperational conditions, a parametric analysis was undertaken by varying the\ncoolant temperature and pitch values. Temperature changes did not significantly\naffect the results, while modifying the pitch induced a rise in the fraction of\ndeposited energy in lead, highlighting its dependence on the coolant mass. This\nmass effect was explored in various fuel assembly designs based on the ALFRED\nbenchmark and on the typical assembly model proposed by \\textsl{new}cleo,\nleading to a correlation function for the prediction of coolant heating in\nrealistic assemblies from simple pin cell calculations.","PeriodicalId":501374,"journal":{"name":"arXiv - PHYS - Instrumentation and Detectors","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Instrumentation and Detectors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The determination of the fraction of energy deposited in the coolant is
required for the setup of accurate thermal-hydraulic calculations in reactor
core analysis. This study focuses on assessing this fraction and analysing the
neutronic and photonic processes contributing to energy deposition in
Lead-cooled Fast Reactors (LFRs). Using OpenMC, coupled neutron-photon
transport calculations were performed within a fuel pin cell geometry,
representative of the one under development at \textsl{new}cleo. Additionally,
the implementation of lattice geometry was tested to gauge the impact of
reflective boundary conditions on computational efficiency. In the context of a
surface-based algorithm, the pin geometry has proven to be computationally more
cost-effective. The fraction of energy deposited in the LFR coolant was
evaluated at $\sim5.6$\%, surpassing that of pressurised water Reactors
($\lessapprox 3\%$), with photon interactions emerging as the principal
contributor. The influence of bremsstrahlung radiation was also considered,
revealing minor impact compared to other photonic processes. Given the
continuous exploration of various core designs and the expectation of diverse
operational conditions, a parametric analysis was undertaken by varying the
coolant temperature and pitch values. Temperature changes did not significantly
affect the results, while modifying the pitch induced a rise in the fraction of
deposited energy in lead, highlighting its dependence on the coolant mass. This
mass effect was explored in various fuel assembly designs based on the ALFRED
benchmark and on the typical assembly model proposed by \textsl{new}cleo,
leading to a correlation function for the prediction of coolant heating in
realistic assemblies from simple pin cell calculations.