Explore the words cloud of the AWESOME project. It provides you a very rough idea of what is the project "AWESOME" about.
The following table provides information about the project.
Coordinator |
FUNDACION CIRCE CENTRO DE INVESTIGACION DE RECURSOS Y CONSUMOS ENERGETICOS
Organization address contact info |
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 |
Take a look of project's partnership.
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.
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.
year | authors and title | journal | last update |
---|---|---|---|
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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