OPTIWINDSEAPOWER

"The project starts with the intention of continuing and completing the National WindSeaEnergy project (DPI2012-31579), observing that there is a great lack of mathematical models that allow the analysis of the signals that are being monitored by means of Non Destructive Tests (NDT) to determine the state of the structures, as well as in the optimal management of the structures. wind turbines and wind farms. OptiWindSeaPower has continued and completed this study initiated in the field of the rotating elements of the wind turbine and their maintenance management, making a more exhaustive study."

GRANT AGREEMENT ID: DPI2015-67264-P

GRANTED:        € 99.900

FUNDED:

 

Project Schedule
1 January 2016                                                                                                30 June 2020

Gestión Integral Optima de Parques Eólicos Offshore Mediante Nuevos Modelos Matemáticos (OptiWindSeaPower)

The European Union’s energy and environmental policies are aimed at promoting and developing offshore wind platforms. This means that the Spanish electricity system will depend more and more on this type of electricity generation systems. The wind turbines for this case are larger, more complex, and require high demands for safety, reliability, availability and maintainability. In this project, this problem is addressed, with the final aim being the comprehensive and optimal management of this type of wind turbine parks.

The project starts with the intention of continuing and completing the National WindSeaEnergy project (DPI2012-31579), where more than 300 scientific references were analyzed in high impact journals, observing that there are great deficiencies in mathematical models that allow analyzing the signals that are they are monitoring to determine the state of the structures, as well as the optimal management of wind turbines and wind farms.

OptiWindSeaPower intends to continue and complete this study initiated in the field of the rotating elements of the wind turbine, and of the maintenance management thereof, making a more exhaustive study in the monitoring systems and methods of signal processing for the structural elements of said teams. The necessary data from WindSeaEnergy will be taken as a reference, as well as the European OPTIMUS, NIMO, WINPRO and the National IcingBlades projects. For this purpose, the design and development of a test bench of an ultrasound-based monitoring system will be required to determine the structural state of the wind turbines to complete this set of signals. A life cycle cost model for the predictive maintenance system will be developed. It is proposed to use mathematical models based on the analysis in time, frequency and time / frequency, as well as Transformed Wavellets, Neural Networks / Artificial Intelligence, methods based on the extraction of signal characteristics and derivatives of the System Transfer Function . The multivariate analysis will be done through Logical Decision Trees, which will be analyzed using Binary Decision Diagrams, and the important measures created by heuristic methods. This will allow controlling and optimizing the status of a wind turbine integrally. For the optimal management of the offshore wind farm, it will be considered as a Markovian decision problem, and the Restless Bandit indexes will be analyzed in order to determine the structure of the “Whittle” indices in different contexts. Finally, new indexes of significance based on costs will be created and the problem of optimization and its resolution will be formulated through metaheuristic methods to determine the optimal investment policy in the management of this type of parks.

The work team consists of members of the UCLM (6), the University College of Financial Studies of Madrid (3), and 5 of the universities of Drexel (USA), Birmingham (England), Monterrey (USA), King Fasial University (Saudi Arabia), Kyungpook National University (South Korea), with a clear multidisciplinary character, consisting of members specialized in Industrial Engineering, Economics, Statistics and Operations Research, and Energy.

Tareas de Trabajo (TT) y

Actividades Requeridas (i,ii,…)

TT

previas

Inicio-Final

(meses)

TT1 Estado del Arte y Objetivos

 

1-48

   1.i.   Estado del arte

 

1-2

  1.ii.   Revisión de los objetivos principales

TT1.i

2-2.5

 1.iii.    Actualización del estado del arte y los objetivos

TT1.(i,ii)

2.5-48

TT2 Desarrollo de nuevos métodos para el procesamiento de señales

 

2.5-20

   2.i.   Análisis de datos (WINPRO, NIMO, OPTIMUS,WindSeaEnergy)

TT1.i

2.5-4

  2.ii.   Identificación de Nuevos Modelos Matemáticos (NMM)

TT1.i

4-8

 2.iii.    Desarrollo de NMM

TT2.ii

8-18

 2.iv.   Control y Actualización de NMM

TT2(ii,iii)

14-20

TT3 Diseño y Construcción de un Sistema de Monitorización

 

4-23

   3.i.   Diseño de un Sistema de Monitorización (SM)

TT(1,2.i)

4-8

    3.ii.  Desarrollo del SM

TT3.i

8-18

   3.iii.  Implementación de Sensores

TT3.ii

18-21

  3.iv.  Ajuste del Sistema

TT3.iii

21-23

TT4. Análisis Coste del Ciclo de Vida del SM

 

23-35

   6.i.   Estudio de Inversiones y Costes de Operación del (SM)

TT3

23-26

  6.ii.   Desarrollo del Modelo del Coste del Ciclo de Vida del SM

TT3.i

26-32

 6.iii.    Análisis del Coste del Ciclo de Vida

TT3.ii

32-35

TT5 Implementación de modelos avanzados en la toma de decisiones (TD) Integrando los Distintos NMM

 

20-35

     4.i.  Diseño y Desarrollo de TD

TT2

20-23

    4.ii.  Análisis Cualitativo del TD

TT4.i

23-27

   4.iii.  Conversión del TD al BDD

TT4.ii

27-30

  4.iv.  Análisis Cuantitativo del TD

TT4.i

30-33

   4.v.  Medidas de Importancia de los Eventos del TD

TT4.iv

33-35

TT6 Gestión Óptima de los Recursos Empleados en el Mantenimiento de los Parques Eólicos Offshore

 

35-46

   5.i.   Formulación del Problema

TT5

35-37

  5.ii.   Desarrollos de la Estructura de Costes, Probabilidades de Transición, Conjunto de Acciones, etc.

TT4.i

35-38

 5.iii.    Optimización de la Planificación de las Políticas de Mantenimiento y los Recursos Empleados en Mantenimiento

TT6.ii

38-40

 5.iv.   Análisis de los Indicadores de Transcendencia

TT6.iii

40-42

TT7. Optimización de inversiones basado en TT4, TT5 y TT6

 

35-46

   7.i.   Determinación de las Inversiones de TD de TT5

TT5

35-38

  7.ii.   Creación de nuevos índices de significación basados en costes

TT5

35-39

 7.iii.    Diseño y Elaboración de Modelo de Optimización de Inversiones

TT7.ii

39-43

 7.iv.   Análisis de los índices de significancia basados en costes

TT7.iii

43-46

TT8. Dirección, Difusión de Resultados y Trabajos Futuros

 

1-48

   8.i.   Dirección de Proyecto

Todas TT

1-48

  8.ii.   Estudiante(s) de Doctorado

Todas TT

1-48

 8.iii.    Difusión de Resultados

Todas TT

20-48

 8.iv.   Determinación y Preparación de Futuros Trabajos

Todas TT

44-48

2020

Fausto Pedro Garcia Marquez, Isaac Segovia Ramirez, Behnam Mohammadi-Ivatloo, Alberto Pliego Marugan (2020) Reliability Dynamic Analysis by Fault Trees and Binary Decision Diagrams, MDPI 11(6), p. 324, url, doi:https://doi.org/10.3390/info11060324

Fausto Pedro Garcia Marquez, Jesus Maria Pinar Perez (2020) Chapter 1 – Wind turbines: A general reliability analysis, Non-Destructive Testing and Condition Monitoring Techniques for Renewable Energy Industrial Assets, Mayorkinos Papaelias, Fausto Pedro García Márquez, Alexander Karyotakis (ed.), p. 1-18, Boston: Butterworth-Heinemann, url, doi:https://doi.org/10.1016/B978-0-08-101094-5.00001-0

Alvaro Huerta Herraiz, Alberto Pliego Marugan, Isaac Segovia Ramirez, Mayorkinos Papaelias, Fausto Pedro Garcia Marquez (2020) Chapter 8 – Remotely operated vehicle applications, Non-Destructive Testing and Condition Monitoring Techniques for Renewable Energy Industrial Assets, Mayorkinos Papaelias, Fausto Pedro García Márquez, Alexander Karyotakis (ed.), p. 119-132, Boston: Butterworth-Heinemann, url, doi:https://doi.org/10.1016/B978-0-08-101094-5.00008-3

Alfredo Arcos Jimenez, Long Zhang, Carlos Quiterio Gomez Muñoz, Fausto Pedro Garcia Marquez (2020) Maintenance management based on Machine Learning and nonlinear features in wind turbines, Renewable Energy 146, p. 316-328, Pergamon, url, doi:10.1016/J.RENENE.2019.06.135

2019

Ana Maria Peco Chacon, Long Zhang, Fausto Pedro Garcia Marquez (2019) Maintenance Management in Wind Turbines by Monitoring the Bearing Temperature, International Conference on Management Science and Engineering Management, Cham Springer (ed.), p. 678-687, Toronto: Springer, url, doi:DOI https://doi.org/10.1007/978-3-030-21248-3

Alberto Pliego Marugan, Ana Maria Peco Chacon, Fausto Pedro Garcia Marquez (2019) Reliability analysis of detecting false alarms that employ neural networks: A real case study on wind turbines, Reliability Engineering & System Safety 191, p. 106574, url, doi:https://doi.org/10.1016/j.ress.2019.106574

Alberto Pliego Marugan, Fausto Pedro Garcia Marquez (2019) Advanced analytics for detection and diagnosis of false alarms and faults: A real case study, Wind Energy 0(0), John Wiley & Sons, Ltd, url, doi:10.1002/we.2393

Alfredo Arcos Jimenez, Carlos Quiterio Gomez Muñoz, Fausto Pedro Garcia Marquez (2019) Dirt and mud detection and diagnosis on a wind turbine blade employing guided waves and supervised learning classifiers, Reliability Engineering & System Safety 184, p. 2-12, url, doi:https://doi.org/10.1016/j.ress.2018.02.013

Alfredo Arcos Jimenez, Fausto Pedro Garcia Marquez, Victoria Borja Moraleda, Carlos Quiterio Gomez Muñoz (2019) Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis, Renewable Energy 132, p. 1034-1048, Pergamon, url, doi:https://doi.org/10.1016/j.renene.2018.08.050

2018

Alberto Pliego Marugan, Raúl Ruiz de la Hermosa, Fausto Pedro Garcia Marquez (2018) Big Data and Wind Turbines Maintenance Management, Renewable Energies, p. 111-125, Springer, doi:https://doi.org/10.1007/978-3-319-45364-4_8

Victoria Borja Moraleda, Alberto Pliego Marugan, Fausto Pedro Garcia Marquez (2018) Acoustic Maintenance Management Employing Unmanned Aerial Vehicles in Renewable Energies, International Conference on Management Science and Engineering Management, p. 969-981, Springer, Cham, url, doi:https://doi.org/10.1007/978-3-319-93351-1_76

Carlos Quiterio Gomez Muñoz, Fausto Pedro Garcia Marquez (2018) Future Maintenance Management in Renewable Energies, Renewable Energies, p. 149-159, Springer, doi:https://doi.org/10.1007/978-3-319-45364-4_10

Alfredo Arcos Jimenez, Carlos Quiterio Gomez Muñoz, Fausto Pedro Garcia Marquez (2018) Dirt and mud detection and diagnosis on a wind turbine blade employing guided waves and supervised learning classifiers, Reliability Engineering & System Safety, Elsevier, url, doi:https://doi.org/10.1016/j.ress.2018.02.013

Isaac Segovia Ramirez, Alberto Pliego Marugan, Fausto Pedro Garcia Marquez (2018) Remotely Piloted Aircraft System and Engineering Managenment: A Real Case Study, International Conference on Management Science and Engineering Management, p. 1173-1185, Springer, Cham, url, doi:https://doi.org/10.1007/978-3-319-93351-1_920

Fausto Pedro Garcia Marquez, Carlos Quiterio Gomez Muñoz, Isaac Segovia Ramirez (2018) Emisiones acústicas y procesamiento de señales para la localización de defectos en materiales compuestos, url

Carlos Quiterio Gomez Muñoz, Fausto Pedro Garcia Marquez (2018) Wind Energy Power Prospective, Renewable Energies, p. 83-95, Springer, doi:https://doi.org/10.1007/978-3-319-45364-4_6

Jesús María Pinar Pérez, Fausto Pedro Garcia Marquez (2018) Managing Costs and Review for Icing Problems, Renewable Energies, p. 97-109, Springer, doi:https://doi.org/10.1007/978-3-319-45364-4_7

Alfredo Arcos Jimenez, Carlos Quiterio Gomez Muñoz, Fausto Pedro Garcia Marquez (2018) Machine Learning for Wind Turbine Blades Maintenance Management, Energies 11(1), p. 13, Multidisciplinary Digital Publishing Institute, url

Mayorkinos Papaelias, Fausto Pedro Garcia Marquez, Isaac Segovia Ramirez (2018) Concentrated Solar Power: Present and Future, Renewable Energies, p. 51-61, Springer, doi:https://doi.org/10.1007/978-3-319-45364-4_4

2017

Kamal Mohammedi, Tahar Benmessaoud, Fausto Pedro Garcia Marquez, Alberto Pliego Marugan (2017) Fuzzy Logic Applied to SCADA Systems, Springer, url, doi:https://doi.org/10.1007/978-3-319-59280-0_61

Carlos Quiterio Gomez Muñoz, Fausto Pedro Garcia Marquez, Benjamin Lev, Alfredo Arcos Jimenez (2017) New Pipe Notch Detection and Location Method for Short Distances employing Ultrasonic Guided Waves, Acta Acustica united with Acustica, p. 772-781, url, doi:https://doi.org/10.3813/AAA.919106

Fausto Pedro Garcia Marquez, Alberto Pliego Marugan (2017) SCADA and Artificial neural networks for maintenance management, url, doi:https://doi.org/10.1007/978-3-319-59280-0_75

Carlos Quiterio Gomez Muñoz, Alfredo Arcos Jimenez, Fausto Pedro Garcia Marquez, Maria Kogia, Liang Cheng, Abbas Mohimi, Mayorkinos Papaelias (2017) Cracks and Welds Detection Approach in Solar Receiver Tubes Employing EMATs, Structural Health Monitoring, url, doi:https://doi.org/10.1177/1475921717734501

Alberto Pliego Marugan, Fausto Pedro Garcia Marquez (2017) SCADA and Artificial Neural Networks for Maintenance Management, International Conference on Management Science and Engineering Management, p. 912-919, Springer, Cham

Fausto Pedro Garcia Marquez, Carlos Quiterio Gomez Muñoz, Benjamin Lev, Alfredo Arcos Jimenez (2017) New Pipe Notch Detection and Location Method for Short Distances employing Ultrasonic Guided Waves, url, doi:https://doi.org/10.3813/AAA.919106

Tahar Benmessaoud, Alberto Pliego Marugan, Kamal Mohammedi, Fausto Pedro Garcia Marquez (2017) Fuzzy Logic Applied to SCADA Systems, International Conference on Management Science and Engineering Management, p. 749-757, Springer, Cham, url, doi:https://doi.org/10.1007/978-3-319-59280-0_61

Fausto Pedro Garcia Marquez, Carlos Quiterio Gomez Muñoz, Isaac Segovia Ramirez (2017) Emisiones Acústicas y Procesamiento de Señales para la Localización de Defectos en Materiales Compuestos, url

Carlos Quiterio Gomez Muñoz, Alfredo Arcos Jimenez, Liang Cheng, Fausto Pedro Garcia Marquez, Maria Kogia, Abbas Mohimi, Mayorkinos Papelias (2017) Cracks and weld detection approach in solar receiver tubes employing EMATS, doi:https://doi.org/10.1177/1475921717734501

Alberto Pliego Marugan, Fausto Pedro Garcia Marquez, Benjamin Lev (2017) Optimal decision-making via binary decision diagrams for investments under a risky environment, International Journal of Production Research 55(18), p. 5271-5286, Taylor & Francis, url, doi:https://doi.org/10.1080/00207543.2017.1308570

Carlos Quiterio Gomez Muñoz, Alfredo Arcos Jimenez, Fausto Pedro Garcia Marquez, Maria Kogia, Liang Cheng, Abbas Mohimi, Mayorkinos Papaelias (2017) Cracks and welds detection approach in solar receiver tubes employing electromagnetic acoustic transducers, Structural Health Monitoring, p. 1475921717734501, SAGE Publications Sage UK: London, England, doi:https://doi.org/10.1177/1475921717734501

Alfredo Arcos Arcos Jimenez, Carlos Quiterio Gomez Muñoz, Fausto Pedro Garcia Marquez (2017) Machine Learning and Neural Network for Maintenance Management, International Conference on Management Science and Engineering Management, p. 1377-1388, Springer, Cham

2013

Jesús María Pinar Pérez, Fausto Pedro Garcia Marquez, Andrew Tobias, Mayorkinos Papaelias (2013) Wind turbine reliability analysis, Renewable and Sustainable Energy Reviews 23, p. 463-472, Pergamon, url, doi:http://dx.doi.org/10.1016/j.rser.2013.03.018

J M Chacón Munoz, Fausto Pedro Garcia Marquez, Mayorkinos Papaelias (2013) Railroad inspection based on ACFM employing a non-uniform B-spline approach, Mechanical Systems and Signal Processing 40(2), p. 605-617, Academic Press, url, doi:doi: 10.1016/j.ymssp.2013.05.004

2003

Fausto Pedro Garcia Marquez, Felix Schmid, Javier Conde Collado (2003) A reliability centered approach to remote condition monitoring. A railway points case study, Reliability Engineering & System Safety 80(1), p. 33-40, Elsevier, doi:https://doi.org/10.1016/S0951-8320(02)00166-7

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