Monte carlo investigation of the UK’s first epr nuclear reactor startup core using serpent

Jinfeng Li*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Computationally modelling a nuclear reactor startup core for a benchmark against the existing models is highly desirable for an independent assessment informing nuclear engineers and energy policymakers. For the first time, this work presents a startup core model of the UK’s first Evolutionary Pressurised Water Reactor (EPR) based on Monte Carlo simulations of particle collisions using Serpent 2, a state-of-the-art continuous-energy Monte Carlo reactor physics burnup code. Coupling between neutronics and thermal-hydraulic conditions with the fuel depletion is incorporated into the multi-dimensional branches, obtaining the thermal flux and fission reaction rate (power) distributions radially and axially from the three dimensional (3D) single assembly level to a 3D full core. Shannon entropy is quantified to characterise the convergence behaviour of the fission source distribution, with 3 billion neutron histories tracked by parallel computing. Source biasing is applied for the variance reduction. Benchmarking the proposed Monte Carlo 3D full-core model against the traditional deterministic transport computation suite used by the UK Office for Nuclear Regulation (ONR), a reasonably good agreement within statistics is demonstrated for the safety-related reactivity coefficients, which creates trust in the EPR safety report and informs the decision-making by energy regulatory bodies and global partners.

Original languageEnglish
Article number5168
JournalEnergies
Volume13
Issue number19
DOIs
Publication statusPublished - Oct 2020
Externally publishedYes

Keywords

  • Computational neutronics
  • European pressurised reactor
  • Monte Carlo simulation
  • Nuclear energy
  • Nuclear physics
  • Nuclear power
  • Nuclear reactor core modelling
  • Nuclear safety
  • Shannon entropy
  • Thermal hydraulics

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