Journal article
Future emerging technologies in the wind power sector: A European perspective
Delft University of Technology1
Università di Trento2
Fraunhofer Institute for Wind Energy and Energy System Technology3
National Renewable Energy Center4
University of Strathclyde5
University of West Attica6
Offshore Renewable Energy Catapult7
University College Cork8
Norwegian University of Science and Technology9
University of Rome La Sapienza10
Department of Wind Energy, Technical University of Denmark11
European Commission12
Aerodynamic design, Department of Wind Energy, Technical University of Denmark13
SINTEF14
University of Birmingham15
ForWind16
University of Florence17
Technical University of Munich18
RWTH Aachen University19
University of Pisa20
Politecnico di Milano21
...and 11 moreThis paper represents an expert view from Europe of future emerging technologies within the wind energy sector considering their potential, challenges, applications and technology readiness and how they might evolve in the coming years. These technologies were identified as originating primarily from the academic sector, some start-up companies and a few larger industrial entities.
The following areas were considered: airborne wind energy, offshore floating concepts, smart rotors, wind-induced energy harvesting devices, blade tip-mounted rotors, unconventional power transmission systems, multi-rotor turbines, alternative support structures, modular high voltage direct current generators, innovative blade manufacturing techniques, diffuser-augmented turbines and small turbine technologies.
The future role of advanced multiscale modelling and data availability is also considered. This expert review has highlighted that more research will be required to realise many of these emerging technologies. However, there is a need to identify synergies between fundamental and industrial research by correctly targeting public and private funding in these emerging technology areas as industrial development may outpace more fundamental research faster than anticipated.
Language: | English |
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Year: | 2019 |
Pages: | 109270 |
ISSN: | 18790690 and 13640321 |
Types: | Journal article |
DOI: | 10.1016/j.rser.2019.109270 |