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CORTEX SIGNED

Core monitoring techniques and experimental validation and demonstration

Total Cost €

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EC-Contrib. €

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Partnership

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Project "CORTEX" data sheet

The following table provides information about the project.

Coordinator
CHALMERS TEKNISKA HOEGSKOLA AB 

Organization address
address: -
city: GOETEBORG
postcode: 41296
website: www.chalmers.se

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Sweden [SE]
 Project website http://cortex-h2020.eu/
 Total cost 5˙462˙113 €
 EC max contribution 5˙092˙626 € (93%)
 Programme 1. H2020-Euratom-1.1. (Support safe operation of nuclear systems)
 Code Call NFRP-2016-2017-1
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2021-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CHALMERS TEKNISKA HOEGSKOLA AB SE (GOETEBORG) coordinator 908˙792.00
2    ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE CH (LAUSANNE) participant 762˙750.00
3    COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES FR (PARIS 15) participant 405˙600.00
4    GESELLSCHAFT FUR ANLAGEN UND REAKTORSICHERHEIT (GRS) gGmbH DE (KOLN) participant 400˙000.00
5    TECHNISCHE UNIVERSITAET DRESDEN DE (DRESDEN) participant 344˙750.00
6    PAUL SCHERRER INSTITUT CH (VILLIGEN PSI) participant 338˙314.00
7    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 325˙708.00
8    UNIVERSITAT POLITECNICA DE VALENCIA ES (VALENCIA) participant 308˙500.00
9    LGI CONSULTING FR (PARIS) participant 217˙018.00
10    INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS EL (ATHINA) participant 198˙375.00
11    TUV RHEINLAND ISTEC GMBH,INSTITUT FUR SICHERHEITSTECHNOLOGIE DE (GARCHING B MUNCHEN) participant 192˙700.00
12    UNIVERSITY OF LINCOLN UK (LINCOLN) participant 180˙000.00
13    UJV REZ, a. s. CZ (HUSINEC) participant 140˙750.00
14    UNIVERSIDAD POLITECNICA DE MADRID ES (MADRID) participant 132˙992.00
15    TUV RHEINLAND INDUSTRIE SERVICE GMBH DE (KOLN) participant 90˙900.00
16    ENERGIATUDOMANYI KUTATOKOZPONT HU (Budapest) participant 83˙000.00
17    KERNKRAFTWERK GOSGEN-DANIKEN AG CH (DANIKEN) participant 62˙475.00
18    ANALYSIS AND MEASUREMENT SERVICES CORPORATION US (KNOXVILLE TN) participant 0.00
19    National University Corporation, Kyoto University JP (Kyoto) participant 0.00
20    PREUSSENELEKTRA GMBH DE (HANNOVER) participant 0.00

Map

 Project objective

The CORTEX project aims at developing an innovative core monitoring technique that allows detecting anomalies in nuclear reactors, such as excessive vibrations of core internals, flow blockage, coolant inlet perturbations, etc. The technique will be based on primarily using the inherent fluctuations in neutron flux recorded by in-core and ex-core instrumentation, from which the anomalies will be differentiated depending on their type, location and characteristics. The method is non-intrusive and does not require any external perturbation of the system. The project will result in a deepened understanding of the physical processes involved. This will allow utilities to detect operational problems at a very early stage and to take proper actions before such problems have any adverse effect on plant safety and reliability. With an ageing fleet of nuclear reactors utilizing more challenging fuel assembly designs, core loadings, and operating more often in load-follow, new operational problems have been observed during the last decade and will become more frequent in the future. By making the detection and characterization of anomalies possible, the availability of nuclear-generated electricity will be further improved. This will contribute to a lowering of the CO2 footprint to the environment and to a higher availability of cheap base-load electricity to the consumers. By implementing the technique in the existing fleet of reactors, the technique will have a major impact. Moreover, the technique, being generic in nature, can be applied to future reactor types and designs. In order to develop a method that can reach a high Technology Readiness Level, the consortium was strategically structured around the required core expertise from all the necessary actors of the nuclear industry, both within Europe and outside. The broad expertise of the consortium members ensures the successful development of new in-situ monitoring techniques.

 Deliverables

List of deliverables.
Development of advanced signal processing techniques and evaluation results Documents, reports 2020-03-06 16:01:44
Modelling of FSIs for reactor vessel internals Documents, reports 2020-03-06 10:21:56
Development of machine learning techniques and evaluation of analysis results Documents, reports 2020-02-18 11:24:38
Methodology for uncertainty and sensitivity analysis Documents, reports 2020-02-18 11:24:38
Description of scenarios for the simulated data Documents, reports 2020-02-18 11:24:37
Experimental report of the 1st campaign at AKR-2 and CROCUS Other 2020-02-18 11:24:37
Website Websites, patent fillings, videos etc. 2020-02-18 11:24:37

Take a look to the deliverables list in detail:  detailed list of CORTEX deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Georgios Leontidis
Deep learning: 3D convolutional and recurrent neural networks in reactor perturbations unfolding and anomaly detection
published pages: , ISSN: , DOI: 10.5281/zenodo.2578845
1 2020-02-18
2019 Petr Stulik
Noise analysis in NPP diagnostic data processing
published pages: , ISSN: , DOI: 10.5281/zenodo.2578832
1 2020-02-18
2018 Francesco Caliva; Fabio De Sousa Ribeiro; Antonios Mylonakis; Christophe Demazière; Georgios Leontidis; Stefanos Kollias
A Deep Learning Approach to Anomaly Detection in Nuclear Reactors
published pages: , ISSN: , DOI: 10.5281/zenodo.1410083
1 2020-02-18
2019 Georgios Leontidis
State of the art machine learning methodologies
published pages: , ISSN: , DOI: 10.5281/zenodo.2578843
1 2020-02-18
2019 Georgios Alexandridis
Signal processing methodologies for nuclear reactor data
published pages: , ISSN: , DOI: 10.5281/zenodo.2578837
1 2020-02-18
2018 Luis Alejandro Torres Delgado; Cristina Montalvo; Agustín García-Berrocal; Dionysios Chionis; Abdelhamid Dokhane
Analysis of simulated signals from neutron detectors in PWR reactors when mechanical and themohydraulic perturbations are applied.
published pages: , ISSN: , DOI: 10.5281/zenodo.2535517
1 2020-02-18
2017 Demazière, Christophe; Vinai, Paolo; Hursin, Mathieu; Kollias, Stefanos; Herb, Joachim
Noise-Based Core Monitoring And Diagnostics – Overview of the Cortex Project
published pages: , ISSN: , DOI: 10.5281/zenodo.1230346
1 2020-02-18
2018 Ribeiro, Fabio De Sousa; Caliva, Francesco; Chionis, Dionysios; Dokhane, Abdelhamid; Mylonakis, Antonios; Demaziere, Christophe; Leontidis, Georgios; Kollias, Stefanos
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis
published pages: , ISSN: , DOI: 10.5281/zenodo.2480264
1 2020-02-18
2018 A. Vidal-Ferraandiz; D. Ginestar; A. Carreno; G. Verdu
Preliminary study of fuel assembly vibrations in a nuclear reactor
published pages: , ISSN: , DOI: 10.5281/zenodo.2480773
1 2020-02-18
2018 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
published pages: , ISSN: , DOI: 10.5281/zenodo.2480913
1 2020-02-18
2018 Demazière, Christophe; Vinai, Paolo; Hursin, Mathieu; Kollias, Stafanos; Herb, Joachim
Overview of the CORTEX project
published pages: , ISSN: , DOI: 10.5281/zenodo.1244165
1 2020-02-18
2019 Petr Stulik
UJV activity in the NPP noise diagnostics
published pages: , ISSN: , DOI: 10.5281/zenodo.2578828
1 2020-02-18
2019 L.A. Torres, D. Chionis, Cristina Montalvo, A. Dokhane, A. García-Berrocal
Neutron noise analysis of simulated mechanical and thermal-hydraulic perturbations in a PWR core
published pages: 242-252, ISSN: 0306-4549, DOI: 10.1016/j.anucene.2018.11.032
Annals of Nuclear Energy 126 2020-02-18
2019 Tatiana Tambouratzis
The combination of state-of-the-art signal processing and the computational intelligence paradigm for the efficient, accurate, and robust processing of nuclear reactor data
published pages: , ISSN: , DOI: 10.5281/zenodo.2578841
1 2020-02-18
2019 Christophe Demaziere
Neutron noise simulation for development and testing
published pages: , ISSN: , DOI: 10.5281/zenodo.2578830
1 2020-02-18
2019 Jindrich Macek
Reconstruction of ex- and in-core neutron signals
published pages: , ISSN: , DOI: 10.5281/zenodo.2578835
1 2020-02-18
2018 Olmo-Juan, N.; Demazière, C.; Barrachina, T.; Miró, R.; Verdú, G.
Comparative study of neutron noise calculations using the neutron kinetics code PARCS and the neutron noise simulator CORE SIM
published pages: , ISSN: , DOI: 10.5281/zenodo.1243982
1 2020-02-18

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