Articles | Volume 7, issue 1
https://doi.org/10.5194/wes-7-387-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-387-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
21 Feb 2022
Review article |
| 21 Feb 2022
| 21 Feb 2022
Wind turbine drivetrains: state-of-the-art technologies and future development trends
Marine Technology Department, Norwegian University of Science and Technology, 7491 Trondheim, Norway
Jonathan Keller
National Renewable Energy Laboratory, Golden, CO 80401, USA
Yi Guo
National Renewable Energy Laboratory, Golden, CO 80401, USA
Shawn Sheng
National Renewable Energy Laboratory, Golden, CO 80401, USA
Henk Polinder
Technische Universiteit Delft, Mekelweg 2, 2628 CD Delft, the Netherlands
Simon Watson
Technische Universiteit Delft, Mekelweg 2, 2628 CD Delft, the Netherlands
Jianning Dong
Technische Universiteit Delft, Mekelweg 2, 2628 CD Delft, the Netherlands
Zian Qin
Technische Universiteit Delft, Mekelweg 2, 2628 CD Delft, the Netherlands
Amir Ebrahimi
Institute for Drive Systems and Power Electronics, Leibniz University Hannover, Postfach 6009, 30060 Hannover, Germany
Ralf Schelenz
Center for Wind Power Drives (CWD), RWTH Aachen University, Campus-Boulevard 61, 52074 Aachen, Germany
Francisco Gutiérrez Guzmán
Institute for Machine Elements and Systems Engineering (MSE), RWTH Aachen University, Schinkelstrasse 10, 52062 Aachen, Germany
Daniel Cornel
Institute for Machine Elements and Systems Engineering (MSE), RWTH Aachen University, Schinkelstrasse 10, 52062 Aachen, Germany
Reza Golafshan
Institute for Machine Elements and Systems Engineering (MSE), RWTH Aachen University, Schinkelstrasse 10, 52062 Aachen, Germany
Georg Jacobs
Institute for Machine Elements and Systems Engineering (MSE), RWTH Aachen University, Schinkelstrasse 10, 52062 Aachen, Germany
Bart Blockmans
LMSD Division, Mechanical Engineering Department, KU Leuven, Heverlee, Belgium
Core Lab Dynamics of Mechanical and Mechatronic Systems, Flanders Make, Heverlee, Belgium
Jelle Bosmans
LMSD Division, Mechanical Engineering Department, KU Leuven, Heverlee, Belgium
Core Lab Dynamics of Mechanical and Mechatronic Systems, Flanders Make, Heverlee, Belgium
Bert Pluymers
LMSD Division, Mechanical Engineering Department, KU Leuven, Heverlee, Belgium
Core Lab Dynamics of Mechanical and Mechatronic Systems, Flanders Make, Heverlee, Belgium
James Carroll
Wind Energy and Control Centre, Electronic And Electrical Engineering, University of Strathclyde, 16 Richmond St, Glasgow G1 1XQ, United Kingdom
Sofia Koukoura
Wind Energy and Control Centre, Electronic And Electrical Engineering, University of Strathclyde, 16 Richmond St, Glasgow G1 1XQ, United Kingdom
Edward Hart
Wind Energy and Control Centre, Electronic And Electrical Engineering, University of Strathclyde, 16 Richmond St, Glasgow G1 1XQ, United Kingdom
Alasdair McDonald
Institute for Energy Systems, School of Engineering, University of Edinburgh, Edinburgh, United Kingdom
Anand Natarajan
DTU Wind Energy, Frederiksborgvej 399, 4000 Roskilde, Denmark
Jone Torsvik
Equinor ASA, Sandslivegen 90, 5254 Sandsli, Norway
Farid K. Moghadam
Marine Technology Department, Norwegian University of Science and Technology, 7491 Trondheim, Norway
Pieter-Jan Daems
Department of Mechanical Engineering, Vrije Universiteit Brussel, OWI-Lab, B-1050 Brussels, Belgium
Timothy Verstraeten
Department of Mechanical Engineering, Vrije Universiteit Brussel, OWI-Lab, B-1050 Brussels, Belgium
Cédric Peeters
Department of Mechanical Engineering, Vrije Universiteit Brussel, OWI-Lab, B-1050 Brussels, Belgium
Jan Helsen
Department of Mechanical Engineering, Vrije Universiteit Brussel, OWI-Lab, B-1050 Brussels, Belgium
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45 citations as recorded by crossref.
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- Dynamic modelling of slip in a wind turbine spherical roller main bearing E. de Mello et al. 10.1007/s10010-023-00652-z
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- A class-imbalance-aware domain adaptation framework for fault diagnosis of wind turbine drivetrains under different environmental conditions B. Lu et al. 10.1016/j.oceaneng.2024.116902
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- Nonlinear optimal control with effective wind speed estimation for maximum power extraction based on adaptive fuzzy logic controller and extended Kalman Filter M. Benmahdjoub et al. 10.1007/s40435-023-01190-w
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Latest update: 29 Jun 2024
Short summary
This paper presents the state-of-the-art technologies and development trends of wind turbine drivetrains – the energy conversion systems transferring the kinetic energy of the wind to electrical energy – in different stages of their life cycle: design, manufacturing, installation, operation, lifetime extension, decommissioning and recycling. The main aim of this article is to review the drivetrain technology development as well as to identify future challenges and research gaps.
This paper presents the state-of-the-art technologies and development trends of wind turbine...
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