Structural optimisation framework for onshore wind turbine towers considering multiple design constraints
Al-Sanad, Shaikha and Parol, Jafarali and Wang, Lin and Kolios, Athanasios (2022) Structural optimisation framework for onshore wind turbine towers considering multiple design constraints. International Journal of Sustainable Energy, 41 (5). pp. 469-491. ISSN 1478-646X (https://doi.org/10.1080/14786451.2021.1953495)
Preview |
Text.
Filename: Wang_etal_IJSE_2021_Structural_optimisation_framework_for_onshore_wind_turbine_towers.pdf
Final Published Version License: Download (5MB)| Preview |
Abstract
An optimum design of the onshore wind turbine (WT) tower structure is crucial for achieving an economic, efficient and safe design of the entire onshore WT system. In this study, an integrated structural optimisation framework for onshore WT towers is established through combining a parametric finite element analysis (FEA) model with a genetic algorithm (GA). The bottom and top diameters as well as the thickness distribution of the onshore WT tower are considered as design variables. The mass of the onshore WT tower is minimised by the structural optimisation framework under multiple design constraints. The framework has been validated and then applied to the structural optimisation of a representative 2.0 MW onshore WT tower presently installed in a wind farm in Middle East. It is demonstrated that the structural optimisation framework developed in this work can considerably lower the mass of the tower while fulfilling design requirements.
ORCID iDs
Al-Sanad, Shaikha, Parol, Jafarali, Wang, Lin and Kolios, Athanasios ORCID: https://orcid.org/0000-0001-6711-641X;-
-
Item type: Article ID code: 78064 Dates: DateEvent28 May 2022Published15 July 2021Published Online4 July 2021AcceptedSubjects: Technology > Hydraulic engineering. Ocean engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 07 Oct 2021 12:44 Last modified: 11 Nov 2024 13:15 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/78064