Assessment and Nonlinear Modeling of Wave, Tidal and Wind Energy Converters and Turbines
Karimirad, Madjid and Collu, Maurizio, eds. (2020) Assessment and Nonlinear Modeling of Wave, Tidal and Wind Energy Converters and Turbines. MDPI AG, Basel, Switzerland. ISBN 978-3-03936-913-3
Preview |
Text.
Filename: Karimirad_Collu_MDPI_2020_Assessment_and_Nonlinear_Modeling_of_Wave_Tidal_and_Wind.pdf
Final Published Version License: Download (65MB)| Preview |
Abstract
Offshore renewable energy (ORE) sources, such as offshore wind turbines, wave energy converters, and tidal and current turbines, have experienced rapid growth in the past decade. The combination of wave, wind, and current energy devices in hybrid marine platforms that use synergies through proper combinations has been a recent scientific focus. The new concepts and structures being investigated require developing new design and analysis approaches that implement novel numerical modeling tools and simulation methods, thus advancing science, technology, and engineering. ORE structures may be subject to complex loads and load effects, which demand comprehensive and accurate numerical modeling representations of the physics underpinning the problem. Important factors that affect design, functionality, structural integrity, and performance of offshore structures include (but are not limited to): fluid–structure interactions, controller actions, intense dynamic effects, nonlinear loadings, extreme and harsh weather conditions, and impact pressure loads. Furthermore, these factors cannot be considered in isolation, since each factor is potentially coupled with another, requiring fully coupled models. To enable further growth in reliable ORE technologies, more advanced numerical tools and nonlinear modeling are needed.
-
-
Item type: Book ID code: 73902 Dates: DateEvent5 September 2020PublishedSubjects: Technology > Engineering (General). Civil engineering (General) > Environmental engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 17 Sep 2020 11:05 Last modified: 12 Dec 2024 15:58 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/73902