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Estudio comparativo del ruido neutrónico mediante el uso del código neutrónico PARCS y del simulador de ruido neutrónico CORE SIM

Authors: Nicolás Olmo-Juan; Teresa Barrachina; Rafael Miró; Gumersindo Verdú; Christophe Demazière;

Estudio comparativo del ruido neutrónico mediante el uso del código neutrónico PARCS y del simulador de ruido neutrónico CORE SIM

Abstract

En el registro de cualquier parámetro de proceso en un reactor nuclear, incluso cuando se opera a plena potencia y en condiciones de estado estacionario, se observa la presencia de fluctuaciones. Estas fluctuaciones (también llamadas ruido) se deben a, por ejemplo, fenómenos de turbulencia, ebullición del refrigerante, vibraciones mecánicas, etc. La monitorización de esos parámetros permite detectar, utilizando la instrumentación existente y sin introducir ninguna perturbación externa del sistema, posibles anomalías antes de que tengan cualquier efecto inadvertido en la seguridad y disponibilidad de la planta. En el trabajo propuesto, el código de difusión neutrónico PARCS, basado en el dominio del tiempo, se ha usado para modelar el efecto de perturbaciones estacionarias en los reactores nucleares. Los resultados de tales simulaciones se compararon con los resultados de las simulaciones realizadas en el dominio de la frecuencia utilizando la herramienta CORE SIM, desarrollada por Chalmers University of Technology. Dicha comparativa se ha realizado mediante la simulación de diversos casos basados en un modelo de reactor real. Además, se ha implementado una metodología destinada a permitir la comparación de los resultados obtenidos empleando estos dos tipos diferentes de herramientas. Se demostró que PARCS, aunque no ha sido desarrollado originalmente para tales cálculos, puede reproducir patrones de ruido de neutrones para frecuencias razonables. Sin embargo, también se ha observado que, en ocasiones, se obtuvieron resultados no físicos.

Keywords

CORE SIM, neutron noise, simulation

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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