Development and validation of ALEPH2 Monte Carlo burn-up code

    Research outputpeer-review

    3 Scopus citations

    Abstract

    The ALEPH2 Monte Carlo depletion code has two principal features that make it a flexible and powerful tool for reactor analysis. First of all, its comprehensive nuclear data library ensures the consistency between steady-state Monte Carlo and deterministic depletion modules. It covers neutron and proton induced reactions, neutron and proton fission product yields, spontaneous fission product yields, radioactive decay data and total recoverable energies per fission. Secondly, ALEPH2 uses an advanced numerical solver for the first order ordinary differential equations describing the isotope balances, namely a Radau IIA implicit Runge-Kutta method. The versatility of the code allows using it for time behavior simulation of various systems ranging from single pin model to full-scale reactor model. The code is extensively used for the neutronics design of the MYRRHA research fast spectrum facility which will operate in both critical and sub-critical modes. The code has been validated on the decay heat data from JOYO experimental fast reactor.

    Original languageEnglish
    Title of host publicationInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2013
    Pages2566-2577
    Number of pages12
    Volume4
    StatePublished - 2013
    EventInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2013 - Sun Valley, ID
    Duration: 5 May 20139 May 2013

    Publication series

    NameInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2013
    Volume4

    Conference

    ConferenceInternational Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2013
    Country/TerritoryUnited States
    CitySun Valley, ID
    Period2013-05-052013-05-09

    ASJC Scopus subject areas

    • Nuclear Energy and Engineering
    • Applied Mathematics

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