Project description
Doctoral training jumpstarts careers in wind energy data science and digitalisation
Wind and solar will be the predominant energy sources for net zero emissions by 2050. Digitalisation of the wind energy sector will drive decreased costs and risks and increased performance. With the support of the Marie Skłodowska-Curie Actions programme, the TWEED project will create a doctoral network to train the next generation of researchers in wind energy digitalisation. In addition to an outstanding research training programme, the project will include training in innovation management and placements with non-academic partners. Furthermore, TWEED aims to develop a virtual wind energy data science hub to support a virtual research environment and establish a new research discipline — wind energy data science.
Objective
Training Wind Energy Experts on Digitalisation (TWEED) Doctoral Network (DN) aims to train the next generation of excellent researchers equipped with a full set of technical and complementary skills to develop high-impact careers in wind energy digitalization. This goal will be achieved through an outstanding research-for-innovation programme, and a unique training programme that combines hands-on research training, interactive schools and hackathons, innovation management and placements with non-academic partner organizations An integrated research program will be carried out alongside the development of a Virtual Wind Energy Data Science Hub that facilitates a virtual research environment to foster collaboration, data sharing and testing of innovative solutions seeking drastic cost-of-energy reductions. The network will provide an interdisciplinary and inter-sectoral context to foster creativity in transforming technological challenges into data science problems that can be solved to develop prototypes for commercial exploitation. Researchers will be trained in business innovation to extend their focus beyond the academic context to be able to identify added-value products or services through customer discovery and guidance from established researchers and entrepreneurs. As a result, a research-for-innovation mindset will be developed to provide enhanced career perspectives to the fellows, equipped with a complete set of thematic, technological and innovation skills. Moreover, TWEED network will accomplish the foundation of Wind Energy Data Science (WEDS) as a new research discipline across the EAWE network to raise awareness, exploit synergies, and motivate future career choices. The potential of data-intensive science as a new paradigm will allow reducing the cost of energy by as much as 13% during the project lifetime and 50% by 2050 by intelligent solutions not accessible to traditional wind energy specialists.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinator
50009 Zaragoza
Spain