Constructing fast and representative analytical models of wind turbine main-bearings
Stirling, James and Hart, Edward and Kazemi Amiri, Abbas (2021) Constructing fast and representative analytical models of wind turbine main-bearings. Wind Energy Science, 6 (1). pp. 15-31. ISSN 2366-7451 (https://doi.org/10.5194/wes-6-15-2021)
Preview |
Text.
Filename: Stirling_etal_WES_2021_Constructing_fast_and_representative_analytical_models.pdf
Final Published Version License: Download (3MB)| Preview |
Abstract
This paper considers the modelling of wind turbine main bearings using analytical models. The validity of simplified analytical representations used in existing work is explored by comparing main-bearing force reactions with those obtained from higher-fidelity 3D finite-element models. Results indicate that there is good agreement between the analytical and 3D models in the case of a non-moment-reacting support (such as for double-row spherical roller bearings), but the same does not hold in the moment-reacting case (such as for double-row tapered roller bearings). Therefore, a new analytical model is developed in which moment reactions at the main bearing are captured through the addition of torsional springs. This latter model is shown to significantly improve the agreement between analytical and 3D models in the moment-reacting case. The new analytical model is then used to investigate load characteristics, in terms of forces and moments, for this type of main bearing across different operating points and wind conditions.
ORCID iDs
Stirling, James, Hart, Edward ORCID: https://orcid.org/0000-0002-2322-4520 and Kazemi Amiri, Abbas ORCID: https://orcid.org/0000-0002-6741-9274;-
-
Item type: Article ID code: 75067 Dates: DateEvent5 January 2021Published16 November 2020Accepted28 February 2020SubmittedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 14 Jan 2021 16:21 Last modified: 11 Nov 2024 12:52 URI: https://strathprints.strath.ac.uk/id/eprint/75067