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Monte Carlo Investigation of the UK’s First EPR Nuclear Reactor Startup Core Using Serpent

Author

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  • Jinfeng Li

    (Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK
    Centre for Electronics Frontiers, University of Southampton, Southampton SO17 1BJ, UK)

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.

Suggested Citation

  • Jinfeng Li, 2020. "Monte Carlo Investigation of the UK’s First EPR Nuclear Reactor Startup Core Using Serpent," Energies, MDPI, vol. 13(19), pages 1-15, October.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5168-:d:423729
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    Cited by:

    1. Mikołaj Oettingen & Juyoul Kim, 2023. "Detection of Numerical Power Shift Anomalies in Burnup Modeling of a PWR Reactor," Sustainability, MDPI, vol. 15(4), pages 1-20, February.

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