Conference paper Open Access

Overview of the CORTEX project

Demazière, Christophe; Vinai, Paolo; Hursin, Mathieu; Kollias, Stafanos; Herb, Joachim


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    "description": "<p>This paper gives an overview of the CORTEX project, which is a Research and Innovation<br>\nAction funded by the European Union in the Euratom 2016-2017 work program, under the<br>\nHorizon 2020 framework. CORTEX, which stands for CORe monitoring Techniques and<br>\nEXperimental validation and demonstration, aims at developing an innovative core monitoring<br>\ntechnique that allows detecting anomalies in nuclear reactors, such as excessive vibrations of<br>\ncore internals, flow blockage, coolant inlet perturbations, etc. The technique is based on<br>\nprimarily using the inherent fluctuations in neutron flux recorded by in-core and ex-core<br>\ninstrumentation (often referred to as neutron noise), from which the anomalies will be<br>\ndifferentiated depending on their type, location and characteristics. In addition to be nonintrusive<br>\nand not requiring any external perturbation of the system, the method allows the<br>\ndetection of operational problems at a very early stage. Proper actions could thus be taken by<br>\nutilities before such problems have any adverse effect on plant safety and reliability. In order<br>\nto develop a method that can reach a high Technology Readiness Level, the consortium, made<br>\nof 20 partners, was strategically structured around the required core expertise from all the<br>\nnecessary actors of the nuclear industry, both within Europe and outside. The broad expertise<br>\nof the consortium members ensures the successful development of new in-situ monitoring<br>\ntechniques.</p>", 
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        "title": "Core monitoring techniques and experimental validation and demonstration", 
        "acronym": "CORTEX", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
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    "keywords": [
      "core monitoring and diagnostics, noise analysis, reactor modelling, validation, signal processing, machine learning"
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    "publication_date": "2018-04-22", 
    "creators": [
      {
        "affiliation": "Chalmers University of Technology Department of Physics, Division of Subatomic and Plasma Physics", 
        "name": "Demazi\u00e8re, Christophe"
      }, 
      {
        "affiliation": "Chalmers University of Technology Department of Physics, Division of Subatomic and Plasma Physics", 
        "name": "Vinai, Paolo"
      }, 
      {
        "affiliation": "Ecole Polytechnique Federale de Lausanne (EPFL)", 
        "name": "Hursin, Mathieu"
      }, 
      {
        "affiliation": "University of Lincoln", 
        "name": "Kollias, Stafanos"
      }, 
      {
        "affiliation": "Gesellschaft f\u00fcr Anlagen- und Reaktorsicherheit (GRS) gGmbH", 
        "name": "Herb, Joachim"
      }
    ], 
    "meeting": {
      "acronym": "PHYSOR 2018", 
      "dates": "22-26 April, 2018", 
      "place": "Cancun, Mexico", 
      "title": "Reactor Physics paving the way towards more efficient systems"
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