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AWESOME

Advanced Wind Energy Systems Operation and Maintenance Expertise

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EC-Contrib. €

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Partnership

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Project "AWESOME" data sheet

The following table provides information about the project.

Coordinator
FUNDACION CIRCE CENTRO DE INVESTIGACION DE RECURSOS Y CONSUMOS ENERGETICOS 

Organization address
address: PARQUE EMPRESARIAL DINAMIZA, AVDA. DE RANILLAS, 3D
city: ZARAGOZA
postcode: 50018
website: www.fcirce.es

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 Spain [ES]
 Project website http://awesome-h2020.eu/
 Total cost 2˙862˙074 €
 EC max contribution 2˙862˙074 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2014
 Funding Scheme MSCA-ITN-ETN
 Starting year 2015
 Duration (year-month-day) from 2015-01-01   to  2018-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FUNDACION CIRCE CENTRO DE INVESTIGACION DE RECURSOS Y CONSUMOS ENERGETICOS ES (ZARAGOZA) coordinator 743˙618.00
2    DANMARKS TEKNISKE UNIVERSITET DK (KGS LYNGBY) participant 290˙081.00
3    NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU NO (TRONDHEIM) participant 286˙275.00
4    LOUGHBOROUGH UNIVERSITY UK (LOUGHBOROUGH) participant 273˙287.00
5    UNIVERSITY OF STRATHCLYDE UK (GLASGOW) participant 273˙287.00
6    CARL VON OSSIETZKY UNIVERSITAET OLDENBURG DE (OLDENBURG) participant 249˙216.00
7    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 249˙216.00
8    UNIVERSIDAD DE CASTILLA - LA MANCHA ES (CIUDAD REAL) participant 247˙872.00
9    RAMBOLL DEUTSCHLAND GMBH DE (MUNCHEN) participant 124˙608.00
10    RAMBOLL MANAGEMENT CONSULTING GMBH DE (HAMBURG) participant 124˙608.00
11    RAMBOLL GMBH DE (HAMBURG) participant 0.00
12    ALSTOM RENOVABLES ESPAÑA S.L. ES (BARCELONA) partner 0.00
13    ASOCIACION EMPRESARIAL EOLICA ES (MADRID) partner 0.00
14    DONG Energy Power Holding A/S DK (Fredericia) partner 0.00
15    ENEL GREEN POWER SPA IT (ROMA) partner 0.00
16    GARRAD HASSAN & PARTNERS LTD UK (BRISTOL) partner 0.00
17    INGETEAM SERVICE SA ES (ALBACETE) partner 0.00
18    POLITECNICO DI MILANO IT (MILANO) partner 0.00
19    SGURRENERGY LTD UK (GLASGOW) partner 0.00
20    Simis AS NO (Malm) partner 0.00

Map

 Project objective

AWESOME network aims to educate eleven young researchers in the wind power operation and maintenance (O&M) field by constructing a sustainable training network gathering the whole innovation value chain. The main EU actors in the field of wind O&M have worked together, under the umbrella of the European Wind Energy Academy (EAWE), in order to design a training program coping with the principal R&D challenges related to wind O&M while tackling the shortage of highly-skilled professionals on this area that has been foreseen by the European Commission, the wind energy industrial sector and the academia.

The overall AWESOME research programme tackles the main research challenges in the wind O&M field identified by the European wind academic and industrial community: (1) to develop better O&M planning methodologies of wind farms for maximizing its revenue, (2) to optimise the maintenance of wind turbines by prognosis of component failures and (3) to develop new and better cost-effective strategies for Wind Energy O&M. These main goals have been divided into eleven specific objectives, which will be assigned to the fellows, for them to focus their R&D project, PhD Thesis and professional career.

The established training plan answers the challenges identified by the SET Plan Education Roadmap. Personal Development Career Plans will be tuned up for every fellow, being their accomplishment controlled by a Personal Supervisory Team. The training plan includes intra-network activities, as well as network-wide initiatives. The secondments at partner organizations and between beneficiaries are a key attribute of the training programme. Each fellow will be exposed to three different research environments from both, academic and industrial spheres.

All the network activities will be developed in accordance with the established in the Ethical Codes and Standards for research careers development, looking therefore for talent, excellence and opportunity equality.

 Deliverables

List of deliverables.
WP5 Final research report Documents, reports 2020-01-24 09:34:49
WP4 Final research report Documents, reports 2020-01-24 09:34:49
WP3 Final research report Documents, reports 2020-01-24 09:34:49
AWESOME internet portal and first set of dissemination materials Websites, patent fillings, videos etc. 2020-01-24 09:34:47
• Supervisory Board of the Network Documents, reports 2020-01-24 09:34:47

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

 Publications

year authors and title journal last update
List of publications.
2016 Jannis Tautz-Weinert, Simon J. Watson
Condition monitoring by neural network modelling of drive train temperature
published pages: , ISSN: , DOI:
European Academy of Wind Energy 2020-01-24
2017 L. Colone, M. Reder, J. Tautz-Weinert, J.J. Melero, A. Natarajan, S.J. Watson
Optimisation of Data Acquisition in Wind Turbines with Data-Driven Conversion Functions for Sensor Measurements
published pages: 571-578, ISSN: 1876-6102, DOI: 10.1016/j.egypro.2017.10.386
Energy Procedia 137 2020-01-24
2017 L. Colone, M. Reder, J. Tautz-Weinert, J.J. Melero, A. Natarajan, S.J. Watson
Optimisation of Data Acquisition in Wind Turbines with Data-Driven Conversion Functions for Sensor Measurements
published pages: 571-578, ISSN: 1876-6102, DOI: 10.1016/j.egypro.2017.10.386
Energy Procedia 137 2020-01-24
2018 E Gonzalez, J Tautz-Weinert, J J Melero, S J Watson
Statistical Evaluation of SCADA data for Wind Turbine Condition Monitoring and Farm Assessment
published pages: 32038, ISSN: 1742-6588, DOI: 10.1088/1742-6596/1037/3/032038
Journal of Physics: Conference Series 1037 2020-01-24
2019 Ravi Kumar Pandit, David Infield
Comparative assessments of binned and support vector regression-based blade pitch curve of a wind turbine for the purpose of condition monitoring
published pages: 181-188, ISSN: 2008-9163, DOI: 10.1007/s40095-018-0287-3
International Journal of Energy and Environmental Engineering 10/2 2020-01-24
2017 N Y Yürüşen, J Tautz-Weinert, S J Watson, J J Melero
The Financial Benefits of Various Catastrophic Failure Prevention Strategies in a Wind Farm: Two market studies (UK-Spain)
published pages: 12014, ISSN: 1742-6588, DOI: 10.1088/1742-6596/926/1/012014
Journal of Physics: Conference Series 926 2020-01-24
2016 Jannis Tautz-Weinert, Simon J. Watson
Condition monitoring by neural network modelling of drive train temperature
published pages: , ISSN: , DOI:
European Academy of Wind Energy 2020-01-24
2018 Jannis Tautz-Weinert
Improved wind turbine monitoring using operational data
published pages: , ISSN: , DOI:
2020-01-24
2018 Lisa Ziegler, Matthieu Rhomberg, Michael Muskulus
Design optimization with genetic algorithms: How does steel mass increase if offshore wind monopiles are designed for a longer service life?
published pages: 12014, ISSN: 1742-6588, DOI: 10.1088/1742-6596/1104/1/012014
Journal of Physics: Conference Series 1104 2020-01-24
65535 Ravi Kumar Pandit, David Infield
Comparative assessments of binned and support vector regression-based blade pitch curve of a wind turbine for the purpose of condition monitoring
published pages: 1-5, ISSN: 2008-9163, DOI: 10.1007/s40095-018-0287-3
International Journal of Energy and Environmental Engineering 2020-01-24
2017 Elena Gonzalez, Emmanouil M. Nanos, Helene Seyr, Laura Valldecabres, Nurseda Y. Yürüşen, Ursula Smolka, Michael Muskulus, Julio J. Melero
Key Performance Indicators for Wind Farm Operation and Maintenance
published pages: 559-570, ISSN: 1876-6102, DOI: 10.1016/j.egypro.2017.10.385
Energy Procedia 137 2020-01-24
2017 Ravi Kumar Pandit, David Infield.
Comparison of binned and Gaussian Process based power curves for condition monitoring purposes
published pages: 293-305, ISSN: , DOI:
Journal of Maintenance Engineering 2020-01-24
2017 Corantin Bouty, Sebastian Schafhirt, Lisa Ziegler, Michael Muskulus
Lifetime extension for large offshore wind farms: Is it enough to reassess fatigue for selected design positions?
published pages: 523-530, ISSN: 1876-6102, DOI: 10.1016/j.egypro.2017.10.381
Energy Procedia 137 2020-01-24
2018 Ravi Kumar Pandit, David Infield
Comparative analysis of binning and Gaussian Process based blade pitch angle curve of a wind turbine for the purpose of condition monitoring
published pages: 12037, ISSN: 1742-6588, DOI: 10.1088/1742-6596/1102/1/012037
Journal of Physics: Conference Series 1102 2020-01-24
2018 Ravi Kumar Pandit, David Infield, James Carroll
Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy
published pages: 302-315, ISSN: 1095-4244, DOI: 10.1002/we.2285
Wind Energy 2020-01-24
2018 Laura Valldecabres, Nicolai Nygaard, Luis Vera-Tudela, Lueder von Bremen, Martin Kühn
On the Use of Dual-Doppler Radar Measurements for Very Short-Term Wind Power Forecasts
published pages: 1701, ISSN: 2072-4292, DOI: 10.3390/rs10111701
Remote Sensing 10/11 2020-01-24
2017 Jutta Stutzmann, Lisa Ziegler, Michael Muskulus
Fatigue Crack Detection for Lifetime Extension of Monopile-based Offshore Wind Turbines
published pages: 143-151, ISSN: 1876-6102, DOI: 10.1016/j.egypro.2017.10.341
Energy Procedia 137 2020-01-24
2018 Ravi Kumar Pandit, David Infield
SCADA-based wind turbine anomaly detection using Gaussian process models for wind turbine condition monitoring purposes
published pages: 1249-1255, ISSN: 1752-1416, DOI: 10.1049/iet-rpg.2018.0156
IET Renewable Power Generation 12/11 2020-01-24
2018 Ravi Kumar Pandit, David Infield.
QQ plot for assessment of Gaussian Process predicted power curve error distribution function
published pages: , ISSN: , DOI:
The European Workshop on Structural Health Monitoring Series (EWSHM) conference proceedings 2020-01-24
2018 L Valldecabres, NG Nygaard, L von Bremen, M Kühn
Very short-term probabilistic forecasting of wind power based on dual-Doppler radar measurements in the North Sea
published pages: 52010, ISSN: 1742-6588, DOI: 10.1088/1742-6596/1037/5/052010
Journal of Physics: Conference Series 1037 2020-01-24
2018 Lisa Ziegler, Elena Gonzalez, Tim Rubert, Ursula Smolka, Julio J. Melero
Lifetime extension of onshore wind turbines: A review covering Germany, Spain, Denmark, and the UK
published pages: 1261-1271, ISSN: 1364-0321, DOI: 10.1016/j.rser.2017.09.100
Renewable and Sustainable Energy Reviews 82 2020-01-24
2018 Ravi Pandit, David Infield
Gaussian Process Operational Curves for Wind Turbine Condition Monitoring
published pages: 1631, ISSN: 1996-1073, DOI: 10.3390/en11071631
Energies 11/7 2020-01-24
2018 Laura Valldecabres, Alfredo Peña, Michael Courtney, Lueder von Bremen, Martin Kühn
Very short-term forecast of near-coastal flow using scanning lidars
published pages: 313-327, ISSN: 2366-7451, DOI: 10.5194/wes-3-313-2018
Wind Energy Science 3/1 2020-01-24
2018 Pandit, Ravi Kumar; Infield, David
Performance assessment of a wind turbine using SCADA based Gaussian Process model
published pages: , ISSN: 2153-2648, DOI: 10.5281/zenodo.1295522
International Journal of Prognostics and Health Management 9(1) 2 2020-01-24
2016 E Gonzalez, M Reder, J J Melero
SCADA alarms processing for wind turbine component failure detection
published pages: 72019, ISSN: 1742-6588, DOI: 10.1088/1742-6596/753/7/072019
Journal of Physics: Conference Series 753 2020-01-24
2016 Lisa Ziegler, Michael Muskulus
Fatigue reassessment for lifetime extension of offshore wind monopile substructures
published pages: 92010, ISSN: 1742-6588, DOI: 10.1088/1742-6596/753/9/092010
Journal of Physics: Conference Series 753 2020-01-24
2016 Lisa Ziegler, Sebastian Schafhirt, Matti Scheu, Michael Muskulus
Effect of Load Sequence and Weather Seasonality on Fatigue Crack Growth for Monopile-based Offshore Wind Turbines
published pages: 115-123, ISSN: 1876-6102, DOI: 10.1016/j.egypro.2016.09.204
Energy Procedia 94 2020-01-24
2016 J Tautz-Weinert, S J Watson
Comparison of different modelling approaches of drive train temperature for the purposes of wind turbine failure detection
published pages: 72014, ISSN: 1742-6588, DOI: 10.1088/1742-6596/753/7/072014
Journal of Physics: Conference Series 753 2020-01-24
2016 Filippo Campagnolo, Vlaho Petrović, Johannes Schreiber, Emmanouil M. Nanos, Alessandro Croce, Carlo L. Bottasso
Wind tunnel testing of a closed-loop wake deflection controller for wind farm power maximization
published pages: 32006, ISSN: 1742-6588, DOI: 10.1088/1742-6596/753/3/032006
Journal of Physics: Conference Series 753 2020-01-24
2016 Filippo Campagnolo, Vlaho Petrovic, Emmanouil M. Nanos, Chun Wei Tan, Carlo L. Bottasso, Insu Paek, Hyungyu Kim, Kwansoo Kim
Wind Tunnel Testing of Power Maximization Control Strategies Applied to a Multi-Turbine Floating Wind Power Platform
published pages: , ISSN: , DOI:
The 26th International Ocean and Polar Engineering Conference 2020-01-24
2016 R K Ibrahim, J Tautz-Weinert, SJ Watson
Neural Networks for Wind Turbine Fault Detection via Current Signature Analysis
published pages: , ISSN: , DOI:
WindEurope Summit 2016 2020-01-24
2016 Helene Seyr, Michael Muskulus
Safety Indicators for the Marine Operations in the Installation and Operating Phase of an Offshore Wind Farm
published pages: 72-81, ISSN: 1876-6102, DOI: 10.1016/j.egypro.2016.09.200
Energy Procedia 94 2020-01-24
2015 Lisa Ziegler, Sven Voormeeren, Sebastian Schafhirt, Michael Muskulus
Sensitivity of Wave Fatigue Loads on Offshore Wind Turbines under Varying Site Conditions
published pages: 193-200, ISSN: 1876-6102, DOI: 10.1016/j.egypro.2015.11.422
Energy Procedia 80 2020-01-24
2016 Jannis Tautz-Weinert, Simon J. Watson
Using SCADA data for wind turbine condition monitoring – a review
published pages: , ISSN: 1752-1416, DOI: 10.1049/iet-rpg.2016.0248
IET Renewable Power Generation 2020-01-24
2016 N Y Yürüşen, Julio J Melero
Probability density function selection based on the characteristics of wind speed data
published pages: 32067, ISSN: 1742-6588, DOI: 10.1088/1742-6596/753/3/032067
Journal of Physics: Conference Series 753 2020-01-24
2017 Lisa Ziegler, Ursula Smolka, Nicolai Cosack, Michael Muskulus
Brief communication: Structural monitoring for lifetime extension of offshore wind monopiles: can strain measurements at one level tell us everything?
published pages: 469-476, ISSN: 2366-7451, DOI: 10.5194/wes-2-469-2017
Wind Energy Science 2/2 2020-01-24
2016 L Valldecabres, W Friedrichs, L von Bremen, M Kühn
Spatial-temporal analysis of coherent offshore wind field structures measured by scanning Doppler-lidar
published pages: 72028, ISSN: 1742-6588, DOI: 10.1088/1742-6596/753/7/072028
Journal of Physics: Conference Series 753 2020-01-24
2016 M D Reder, E Gonzalez, J J Melero
Wind Turbine Failures - Tackling current Problems in Failure Data Analysis
published pages: 72027, ISSN: 1742-6588, DOI: 10.1088/1742-6596/753/7/072027
Journal of Physics: Conference Series 753 2020-01-24
2016 Lisa Ziegler, Sven Voormeeren, Sebastian Schafhirt, Michael Muskulus
Design clustering of offshore wind turbines using probabilistic fatigue load estimation
published pages: 425-433, ISSN: 0960-1481, DOI: 10.1016/j.renene.2016.01.033
Renewable Energy 91 2020-01-24
2016 Helene Seyr, Michael Muskulus
Value of information of repair times for offshore wind farm maintenance planning
published pages: 92009, ISSN: 1742-6588, DOI: 10.1088/1742-6596/753/9/092009
Journal of Physics: Conference Series 753 2020-01-24

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The information about "AWESOME" are provided by the European Opendata Portal: CORDIS opendata.

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