HEDoctoral network2024–2028

TWEED · Training Wind Energy Experts on Digitalisation

Horizon Europe — Marie Skłodowska-Curie Actions

Duration
2024-09-01 → 2028-08-31
EU contribution
€2,923,582
Participants
18
Scheme
HORIZON-TMA-MSCA-DN

Lines connect the coordinator with its partners.

Project 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.

Original text from CORDIS.

Participants

  • UNIVERSIDAD DE ZARAGOZA · ZaragozaCoordinatorSpain
  • ANNEA AI UNIPESSOAL LDA · LISBOAPortugal
  • BELGISCH LABORATORIUM VAN ELEKTRICITEITSINDUSTRIE · LinkebeekBelgium
  • Compañía Eólica de Tierras Altas S.A. · San Pedro ManriqueSpain
  • DANMARKS TEKNISKE UNIVERSITET · Kongens LyngbyDenmark
  • DNV SERVICES UK LIMITED · LONDONUnited Kingdom
  • EDF ENERGY R&D UK CENTRE LIMITED · LONDONUnited Kingdom
  • EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH · ZuerichSwitzerland
  • ENBW ENERGIE BADEN-WURTTEMBERG AG · KarlsruheGermany
  • ETHNICON METSOVION POLYTECHNION · ATHINAGreece
  • European Academy of Wind Energy · OldenburgGermany
  • Excellence in Renewables Private Company - iWind Renewables PC · ArtemidaGreece
  • NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU · TrondheimNorway
  • OST - OSTSCHWEIZER FACHHOCHSCHULE · RapperswilSwitzerland
  • RTDT Laboratories AG · ZurichSwitzerland
  • STICHTING MARITIEM RESEARCH INSTITUUT NEDERLAND · WageningenNetherlands
  • TECHNISCHE UNIVERSITAET MUENCHEN · MuenchenGermany
  • TECHNISCHE UNIVERSITEIT DELFT · DelftNetherlands

Links

Data: CORDIS, © European Union