Print Email Facebook Twitter Wind turbine drivetrains Title Wind turbine drivetrains: State-of-the-art technologies and future development trends Author Nejad, Amir R. (Norwegian University of Science and Technology (NTNU)) Keller, Jonathan (National Renewable Energy Laboratory) Guo, Yi (National Renewable Energy Laboratory) Sheng, Shawn (National Renewable Energy Laboratory) Polinder, H. (TU Delft Transport Engineering and Logistics) Watson, S.J. (TU Delft Wind Energy) Dong, J. (TU Delft DC systems, Energy conversion & Storage) Qin, Z. (TU Delft DC systems, Energy conversion & Storage) Ebrahimi, Amir (Leibniz University Hannover) Date 2022 Abstract This paper presents the state-of-the-art technologies and development trends of wind turbine drivetrains – the system that converts kinetic energy of the wind to electrical energy – in different stages of their life cycle: design, manufacturing, installation, operation, lifetime extension, decommissioning and recycling. Offshore development and digitalization are also a focal point in this study. Drivetrain in this context includes the whole power conversion system: main bearing, shafts, gearbox, generator and power converter. The main aim of this article is to review the drivetrain technology development as well as to identify future challenges and research gaps. The main challenges in drivetrain research identified in this paper include drivetrain dynamic responses in large or floating turbines, aerodynamic and farm control effects, use of rare-earth material in generators, improving reliability through prognostics, and use of advances in digitalization. These challenges illustrate the multidisciplinary aspect of wind turbine drivetrains, which emphasizes the need for more interdisciplinary research and collaboration. To reference this document use: http://resolver.tudelft.nl/uuid:33ff944a-1691-4923-ac8c-c8a818760b46 DOI https://doi.org/10.5194/wes-7-387-2022 ISSN 2366-7443 Source Wind Energy Science, 7 (1), 387-411 Part of collection Institutional Repository Document type review Rights © 2022 Amir R. Nejad, Jonathan Keller, Yi Guo, Shawn Sheng, H. Polinder, S.J. Watson, J. Dong, Z. Qin, Amir Ebrahimi, More Authors Files PDF wes_7_387_2022.pdf 1.44 MB Close viewer /islandora/object/uuid:33ff944a-1691-4923-ac8c-c8a818760b46/datastream/OBJ/view